RE: LeoThread 2025-03-13 06:13

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Here is the daily technology #threadcast for 3/13/24. The goal is to make this a technology "reddit".

Drop all question, comments, and articles relating to #technology and the future. The goal is make it a technology center.



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Soto-Wright compared the acquisition to when PayPal bought Braintree, which handles credit card processing for companies like Meta and processed nearly $600 billion in total payment volume last year.

"This is our Braintree moment," said Soto-Wright. "Iron's technology positions MoonPay to become the definitive infrastructure provider for enterprise stablecoin solutions."

Stablecoins are cryptocurrencies pegged to real-world assets, and in 2024 alone, most of the $27 trillion transferred through stablecoins consisted of digital dollars moving seamlessly across blockchains.

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"We think it is an internet-driven payment method you'll see all across the world," Soto-Wright said." "If you think about the United States, we have been a little bit behind. Real-time payments has taken years to get rolled out. We actually think wallets can help skip that technology jump and stablecoins are going to be a very important part of that."

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Contributors will not be able to submit Community Notes on advertisements, but will be able to do so on "almost any other forms of content, including posts by Meta, our executives, politicians and other public figures," the blog post said. Posts hit with Community Notes can't be appealed, but there's also no additional penalty for content that's flagged.

"Notes will provide extra context, but they won't impact who can see the content or how widely it can be shared," the blog post said.

Meta doesn't plan to open source or publicly release more technical details about its Community Notes system, but is considering the option for the future, Rachel Lambert, director of product management at Meta, said in a media briefing.

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The memoir chronicles Wynn-Williams' tenure at Facebook from 2011 through 2017. During that time, she became a high-level employee who interacted with CEO Mark Zuckerberg, then-COO Sheryl Sandberg and Joel Kaplan, the company's current policy chief. In the book, Wynn-Williams alleges that Kaplan made a number of inappropriate comments to her, which she then reported to the company as sexual harassment.

"This is a mix of out-of-date and previously reported claims about the company and false accusations about our executives," a Meta spokesperson previously said about both her book and complaint.

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The company has previously dismissed Wynn-Williams' claims as "out-of-date" and said that she was fired for "poor performance and toxic behavior."

Meta spokesperson Andy Stone shared the emergency arbitrator's ruling in a post on Threads, saying that it "affirms that Sarah Wynn Williams' false and defamatory book should never have been published."

"This urgent legal action was made necessary by Williams, who more than eight years after being terminated by the company, deliberately concealed the existence of her book project and avoided the industry's standard fact-checking process in order to rush it to shelves after waiting for eight years," Stone said.

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"Given these uncertainties and the implication they may have on the company's financials, there is substantial doubt about the company's ability to continue as a going concern for a period of at least 12 months," iRobot said in its earnings report.

The company's fourth-quarter revenue sagged 44% year over year to $172 million, missing estimates of $180.8 million, according to FactSet. The Roomba maker posted a net loss of $77.1 million, or $2.52 per share. Excluding a one-time "manufacturing transition charge," iRobot had a loss of $2.06 a share, exceeding the $1.73 per share projected by analysts surveyed by FactSet.

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Chicken meat producers remain the most resistant to vaccines because of concerns they could harm meat exports, which totaled nearly $4.7 billion last year. Egg and turkey producers sell most of their products in the U.S. and have been hit hardest by the virus.

Without a new policy including vaccines, the government will continue to slaughter every flock with a bird flu infection to limit the spread of the disease. Those deaths have totaled over 166 million birds in the U.S. since 2022.

Most birds killed are egg-laying chickens, and the death of so many hens is the main reason egg prices keep rising. The average price per dozen has hit $5.90, and in some part of the country, it is far higher.

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“What the industry wants is the ability to develop the strategic plan to share that with the trading partners and then find out what kind of impact that that will have on trade,” Clifford said.

There are fears that vaccinating could allow the virus to linger undetected in flocks and mutate in ways that could make it more of a threat to humans and allow sick birds to get into the food supply. Like with other diseases, properly cooking chicken to 165 degrees Fahrenheit (74 degrees Celsius) will kill bird flu, but the industry and chicken buyers don't want it there at all.

For meat chicken, known as broilers, the virus isn't as significant because those birds are slaughtered at 6 to 8 weeks old and thus have less chance of being infected compared with egg-laying hens, which live to 2 years or older. Also most broilers are raised in the Southeast, which hasn't had as many outbreaks as the Midwest and West.

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In Mexico chicken are vaccinated, but Clifford said the country doesn't slaughter flocks when infections are found. That basically ensures the virus is present in poultry.

China still slaughters vaccinated flocks when infections are found, which has proven more effective at limiting the spread of the virus and reigning in outbreaks.

Clifford said the U.S. would need to continue culling flocks with outbreaks even after vaccinating, and it might make sense to give shots only to egg layers and turkeys, not broilers.

Don't expect big relief anytime soon.

The USDA, which did not respond to a request for comment for this article sent last week, clearly isn't moving to vaccinate immediately. And, regardless, it will take time to raise new hens.

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Duterte was once feared for his brutal anti-crime crackdowns and reviled for his irreverence while in office — he called Pope Francis a "son of a b---h" at one time and said that then-President Barack Obama could "go to hell." Duterte's stunning reversal of fortune was celebrated by human rights groups as a historic triumph against state impunity everywhere.

Duterte was arrested Tuesday after he arrived at Manila's Ninoy Aquino International Airport with his common-law wife, daughter and friends from Hong Kong.

He was later taken under heavy police guard to a nearby presidential lounge at the Villamor Air Base to undergo booking for arrested criminal suspects, including fingerprinting, before being taken to a plane for the long flight to The Hague to be turned over to the ICC, Torre said.

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While president, Duterte got incensed when Obama criticized his bloody campaign against illegal drugs and told him in one speech to "go to hell."

In 2015, he shocked the dominant Roman Catholic Church when he fired off an expletive while expressing his disgust over a monstrous traffic jam that trapped him while Francis was visiting Manila.

"I wanted to call: 'Pope, you son of a b---h, go home. Don't visit here anymore,'" he told a mob of supporters, some of whom laughed.

He later apologized after Filipino bishops expressed shock and outrage.

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Grenell: Venezuela Will Resume Flights to Collect Migrants

Venezuela has agreed to resume flights to collect citizens who have entered the United States illegally, according to Ric Grenell, President Donald Trump's envoy for special missions.

"I am pleased to announce that Venezuela has agreed to resume flights to pick up their citizens who broke U.S. Immigration Laws and entered the U.S. illegally," Grenell said on X Thursday. "The flights will resume Friday."

Venezuelan President Nicolas Maduro said last Saturday that the flights to bring migrants back from the United States were affected when Trump canceled a license that allowed Chevron to continue to operate in his country, citing a lack of progress on migrant returns and electoral reforms, reported Reuters.

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Trump Threatens 200 Percent Wine Tariff on EU Imports: We Will Win
President Donald Trump threatened a 200% wine tariff on EU imports if the bloc doesn't lift its whiskey tariff.

President Donald Trump has hit back at the European Union, which he claimed was "screwing" the U.S. after saying Thursday that he would put a 200% wine tariff on all wines and other alcoholic products coming out of the EU if the bloc did not remove its tariff on whiskey.

The European Commission said on Wednesday that it will impose counter tariffs on 26 billion euros ($28 billion) worth of U.S. goods from next month, ramping up a global trade war in response to blanket U.S. tariffs on steel and aluminum.

Taking to social media Thursday, Trump slammed the EU.

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Report: Nomination of Weldon as CDC Chief Pulled

The White House withdrew the nomination of Dave Weldon, President Donald Trump's pick to lead the U.S. Centers for Disease Control and Prevention, Axios reported Thursday.

Weldon, a vaccine critic, was set to appear in front of the Health, Education, Labor and Pensions Committee on Thursday as part of the confirmation process.

The CDC, with a budget of $17.3 billion, tracks and responds to domestic and foreign threats to public health. Roughly two-thirds of its budget funds state and local health agencies' public health and prevention activities.

Weldon, 71, is a former Florida congressman.

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A day after he became St. John’s first Big East Player of the Year in 39 years, RJ Luis scored 20 points to go along with seven rebounds. Kadary Richmond (nine assists, eight rebounds) and Aaron Scott added 15 points apiece and the Johnnies throttled Butler in the paint, 44-18. Butler’s star wings, Jahmyl Telfort and Pierre Brooks, were meanwhile held to 16 points on 4-of-20 shooting.

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Part 1/10:

The Rise of AI Agents in the Crypto Space: A New Frontier

In the ever-evolving landscape of technology, the intersection of artificial intelligence (AI) and cryptocurrency has become a prominent focus. As innovations in AI rapidly advance, the market's reaction seems the juxtaposition of excitement against investor caution. This article delves into the latest developments in AI, particularly focusing on AI agents, the new models coming out of China, and how these shifts are poised to reshape our understanding of both AI and cryptocurrency.

The AI Breakthrough Landscape

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Part 2/10:

The pace of AI innovation is staggering, with significant releases occurring almost weekly. Recent conversations have highlighted a specific shift toward the development of AI agents—autonomous systems capable of performing intricate tasks that were previously unthinkable. This evolution is not merely a technological novelty; it is a substantial leap towards more integrated AI functionalities that can autonomously navigate and manage tasks within human environments.

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Part 3/10:

Historically, significant AI innovations have often emerged from either the U.S. or China. Currently, China is showcasing notable advancements with the introduction of the Manus AI agent. This remarkable system is designed to perform multiple tasks simultaneously—a capability that could revolutionize how individuals manage daily activities. The Manus agent illustrates a critical advancement in AI, representing a synthesis of OpenAI’s and Claude’s capabilities. It provides an ability to control devices like a human while also leveraging AI’s information-processing power.

The Case of AI Agents

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Part 4/10:

An essential distinction in the ongoing AI conversation is between models like GPT (Generative Pre-trained Transformer) and AI agents. Models are predominantly for generating responses or text, while agents possess a semblance of agency, awareness, or goals. This aspect allows agents to act upon their environment, evaluating context and responding with autonomy.

AI agents, like those leveraging the Manus framework, are being designed not merely to respond but to think and act strategically. They are adept at performing complex tasks such as researching real estate options or managing scheduling, exemplifying this new wave of AI capabilities.

The Emergence of New Models and Tools

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Part 5/10:

With the AI space promising and diverse, there remain concerns regarding the underlying technology. Companies like OpenAI are rumored to be exploring their own AI agents, which suggest a burgeoning market for applications that could begin replacing human knowledge workers across various sectors. Such agents will offer functionalities akin to hiring high-level employees, at a fraction of the cost.

Moreover, initiatives like the Model Context Protocol (mCP) are being created to bridge AI models with the external tools they need to excel further. By creating a unified integration layer, mCP enables AI systems to access vast databases and tools quickly.

Exploring AI-Driven Tokens and the Crypto Market

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Part 6/10:

The hype surrounding AI agents has not only captivated technological enthusiasts but has also permeated the cryptocurrency space, leading to the development of new tokens like the “debt relief bot” (DRB) launched by the Grok AI agent associated with Twitter's Banker Bot. This token exemplifies the burgeoning intersection between AI-driven functionalities and cryptocurrency, designed to allow users to engage with financial activities directly through social media interaction.

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Part 7/10:

While the rise of memecoins continues, driven mainly by AI-related initiatives, there remains skepticism within the community. Importantly, as traditional markets face volatility, alternative avenues like these AI token developments present an intriguing opportunity for growth. The success and popularity of the DRB token, which surged to a significant market cap amidst broader market declines, showcase the potential for innovative financial solutions leveraging AI capabilities.

The Outlook for AI and Crypto

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Part 8/10:

As we witness the ongoing evolution of AI technologies, it is clear we are entering an era where AI agents play a pivotal role in our daily lives, inform the global financial system, and perhaps herald a new meta within cryptocurrencies. The demand for integration and practical application of AI solutions in the crypto world feels insatiable, leading to expectations for significant ground-breaking accomplishments in the near future.

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Part 9/10:

The juxtaposition of current challenges with the promises of AI capabilities sets the stage for what may be an exciting wave in technological and financial advancements. By harnessing the potential of AI agents, developers are poised to create tools that redefine tasks or industries while still navigating the treacherous terrains of regulation and ethical considerations.

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Part 10/10:

With the core focus on innovation and usability, the future appears bright for those willing to embrace the transformative power of AI in cryptocurrency. As we gather insights into various projects and tools, the overarching sentiment is one of optimism, exploration, and passion, driving us deeper into the frontiers of technology. While crypto remains a risk-laden environment, the possibilities presented by AI technologies often seem to outweigh the challenges. The road ahead is undoubtedly exhilarating, and we are determined to be part of this transformative journey into the unknown.

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Crypto payments company MoonPay looks to compete with Stripe with Iron stablecoin acquisition

MoonPay, a leading crypto payments company, has acquired Iron, an API-driven startup specializing in stablecoin infrastructure.

Crypto payments giant MoonPay is expanding its push into the enterprise market with the acquisition of Iron, an API-first stablecoin infrastructure startup.

This marks MoonPay's second significant acquisition in two months, underscoring its ambition to dominate the rapidly growing stablecoin payments market.

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"We think everyone is going to have a digital currency wallet, whether it's inside of a bank account or independently. And we build a backwards compatibility to the existing financial system," MoonPay Co-Founder and CEO Ivan Soto-Wright told CNBC's "Squawk Box" in an exclusive interview.

Already, MoonPay makes it easier for people to participate in the new crypto economy by enabling onboarding through most traditional payment rails, including debit cards, bank accounts, PayPal, Venmo, Apple Pay, and Google Pay.

Now, with Iron, MoonPay can offer businesses the ability to accept stablecoin payments, unlocking instant, low-cost, and borderless transactions.

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Intel pops 13% as chipmaker taps new CEO, Wall Street backs turnaround effort

Intel shares popped more than 11% after announcing Lip-Bu Tan as its new CEO and Wall Street cheered the chipmaker's attempt to turn around its business.

Intel shares popped more than 13% after the struggling chipmaker named Lip-Bu Tan its new CEO and Wall Street cheered the turnaround attempt.

Tan previously served as CEO of chip software maker and Intel supplier Cadence Design Systems, and will rejoin the board after departing last year. He replaces interim co-CEOs David Zinsner and MJ Holthaus who took the helm of the company after former CEO Pat Gelsinger's ousting in December.

#intel #chipmaker #ceo #wallstreet

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The news brings an end to a tumultuous period for the once iconic American semiconductor company that's shed billions in market value as it largely sits out the artificial intelligence boom that has lifted the broader industry. Intel's board forced out Gelsinger late last year as confidence dwindled in his ability to turn around the company.

Wall Street appeared to support Intel's decision, with Deutsche Bank analyst Ross Seymore calling the appointment a "desirable outcome." Tan's semiconductor industry experience and prior board position also prime him to "meet the demands" of the role, he added.

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Meta's Community Notes will use open-source technology from Elon Musk's X

Meta revealed more details of Community Notes, and said that it incorporates the same open-source algorithm that powers X's crowdsourced feature.

Meta's upcoming Community Notes feature for monitoring misinformation through crowdsourcing will use some technology developed by Elon Musk's X for its similar service.

On Thursday, Meta revealed in a blog post more details of its new content moderation tool, and said it incorporates the same open-source algorithm that powers X's Community Notes. Meta said that over time it plans to modify the algorithm to better serve its Facebook, Instagram and Threads apps.

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"As X's algorithm and program information is open source — meaning free and available for anyone to use— we can build on what X has done, learn from the researchers who have studied it, and improve the system for our own platforms," Meta said in the post. "As our own version develops, we may explore different or adjusted algorithms to support how Community Notes are ranked and rated."

Meta CEO Mark Zuckerberg pitched Community Notes in January as the company's preferred replacement in the U.S. for third-party fact-checking, which he shuttered as part of a broader policy change that also relaxed certain content moderation guidelines. The company will begin testing Community Notes next week in the U.S. Last month, Meta said that users can apply to become contributors as long as they meet certain requirements, including being over 18 and having a verified phone number.

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Exposing The Fake Publishers Flooding the E-Shops

The video discusses the issue of fake publishers flooding the Nintendo Switch and PlayStation e-shops with low-quality games, often using fake screenshots and descriptions.

Luke has been investigating these publishers and has discovered a web of deceit and potential connections between them. He specifically calls out Midnight Works, a company that has been banned from the PlayStation Store. Luke also reveals that some of these publishers are using existing publishing names without the original publishers' knowledge or consent.

Luke's research has led him to believe that there may be something dodgy going on, possibly a tax avoidance or money laundering. He criticizes Nintendo's lack of vetting process for registering publishers and their policies on publishing games.

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Part 1/9:

The Alarming Reality of Artificial General Intelligence: Are We Racing Toward Disaster?

The race towards Artificial General Intelligence (AGI) is heating up, and the implications are far more dangerous than nuclear weapons, according to experts in the field. Recently, Steven Adler, a former safety researcher at OpenAI, issued a stark warning about the inevitable dangers posed by rapidly advancing AI technologies. His concerns echo the sentiments of numerous other AI experts who have left OpenAI, each voicing fears over the diminishing focus on AI safety in favor of competition and profit.

The Exodus from OpenAI: A Disturbing Trend

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Part 2/9:

Adler's departure from OpenAI is emblematic of a wider trend. Notably, he is not the first to leave amid concerns over safety protocols. In 2023, other prominent figures like Ilas Suaver and Yan Ley also exited, highlighting a troubling pattern within the organization. Ley, who co-led OpenAI’s Super Alignment Team, argued that safety considerations have been sidelined, replaced by an emphasis on marketable technology.

This exodus raises critical questions:

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Part 3/9:

If the very experts responsible for ensuring AI's safety are distrustful of its trajectory, what does that suggest about our future? The morale of the safety team is at an alarming low, now exacerbated by the fact that nearly half of OpenAI's risk team has resigned. Without a robust safety protocol in place, the risks associated with higher-performing AI models become increasingly daunting.

The Rushed Race Towards AGI

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Part 4/9:

Adler is particularly alarmed by the industry-wide race to develop AGI without resolving crucial questions related to AI alignment. AI alignment refers to ensuring that AI systems act according to human values and needs without causing unintended harm. Adler emphasizes that no lab currently possesses solutions to these pressing issues. His admission that he is “pretty terrified” by the current trajectory of AI development is alarming, especially given his direct involvement in one of the leading AI companies in the world.

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Part 5/9:

This situation is further complicated by geopolitical factors, including the growing rivalry between the U.S. and China in AI development. The emergence of competitive models like Deep Seek AI in China has pushed U.S. companies, including OpenAI and Google DeepMind, to accelerate their timelines drastically to maintain their lead.

Aggressive Approaches by AI Leaders

The reaction from OpenAI's CEO, Sam Altman, does little to alleviate concerns. Instead of advocating for caution in light of Adler's warning, Altman has chosen to accelerate development schedules, describing Deep Seek's advancements as invigorating. This relentless push for speed puts not just OpenAI but the entire AI sector at risk, as competitors strive to outpace each other without sufficient regard for safety measures.

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Part 6/9:

Stuart Russell, a leading voice in AI safety, has characterized this ongoing race as akin to “running towards the edge of a cliff.” The urgency to outperform rivals could easily lead to a scenario where AGI surpasses human intelligence before safety mechanisms are put in place.

A House Divided: The Internal Struggles at OpenAI

Adding to these concerns are the power struggles within OpenAI itself. In November 2023, Altman was mysteriously fired, allegedly due to conflicting views on the aggressive pursuit of AGI. The subsequent crisis led to mass employee unrest and investor anxiety, ultimately resulting in Altman’s reinstatement within just five days, during which he emerged with even greater authority.

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Part 7/9:

Despite these tumultuous times, OpenAI has ramped up its ambitions. Following Altman's return, the company launched its GPT-4 Turbo, further highlighting its commitment to rapid advancement even as critical safety questions remain unaddressed.

The Need for Caution in the Face of Urgency

Given the alarm bells sounded by former OpenAI safety researchers and the precarious state of internal safety measures, the industry must confront the pressing question: What happens if the AGI race continues unchecked? If no established framework for ensuring safe and ethically-aligned behavior exists for AGI systems, the risks become both real and immediate.

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Part 8/9:

Adler's comments underscore a growing awareness among leading researchers that the rapid pace of development may ultimately lead to disastrous consequences, including potential human extinction, as openly acknowledged even by CEOs within the industry.

Conclusion: A Call for Public Awareness and Action

The situation demands urgent public discourse and action. If credible voices from within the AI sector are warning about the perils ahead, it is imperative that the public pays attention. The very architects of modern AI technology are sounding alarms about its potential uncontrollability.

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Part 9/9:

It raises critical questions about responsibility, regulation, and the moral obligations of these companies as they navigate this turbulent landscape. The race for AGI is not merely an exciting frontier for innovation; if managed poorly, it represents a perilous journey to an uncertain future.

In navigating these challenges, the onus is on leaders—not just within companies but at the societal level—to prioritize safety and ethical considerations above the relentless pursuit of technological advancement. The stakes couldn't be higher; the future of humanity depends on it.

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Shares of iRobot tank 30% after Roomba maker raises doubt about its survival

The Roomba maker faces mounting debt and sputtering revenue growth, as well as heightened competition from robotic vacuum makers based in China.

Shares of iRobot plunged more than 30% on Wednesday after it said there is "substantial doubt" about its ability to stay in business.

The Roomba maker's financial outlook has darkened since Amazon abandoned its planned $1.7 billion acquisition of the company in January 2024, citing regulatory scrutiny. Since then, iRobot has struggled to generate cash and pay off debts.

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Massachusetts-based iRobot has been restructuring since the Amazon deal plunged into uncertainty. The company has laid off 51% of its workforce since the end of 2023, and iRobot has looked to reignite revenue growth by overhauling its product lineup. The company on Tuesday launched eight new Roombas in the hopes of "better positioning iRobot as the leader in the category that we created," CEO Gary Cohen said in a statement.

"There can be no assurance that the new product launches will be successful," iRobot said in its Wednesday earnings statement, citing limited consumer demand, tariff uncertainty and heightened competition.

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Building My Dream Productivity Device

The video showcases a custom-built personal digital assistant device designed for note-taking, scheduling, and productivity. The device features a hybrid e-ink and OLED display, a built-in keyboard, and a simple user interface. It is powered by an ESP32 S3 microcontroller, which provides Wi-Fi and Bluetooth connectivity.

The device has a long-lasting battery life, with a low power mode to conserve energy. The creator demonstrates the device's functionality, including its text editor, file system, and keyboard.

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How to Use Steam on Linux

To get started with gaming on Linux, it's essential to understand the limitations and potential issues that may arise. Linux gaming has its drawbacks, particularly with certain games that use anti-cheat software or have restrictive DRM policies.

For single-player games, Linux is a viable option, with many games working seamlessly. If most of the games you play are single-player, you'll have little to no issues playing them on Linux.

The video highlights the importance of choosing the right Linux distribution for gaming, with Bite being a top recommendation due to its ease of use and performance optimization. The speaker also discusses the need to enable Steam compatibility for all games and he recommends using Proton DB to see how others got games working and to check for any potential issues with anti-cheat.

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Title: Xiaomi Pad 7 Pro Review

The Xiaomi Pad 7 Pro is a premium tablet with an 11.2-inch display, quad speaker setup, and impressive performance. It features a 3K resolution screen with Dolby Vision support, a Qualcomm Snapdragon 8 Gen 3 processor, and up to 12GB of RAM. The tablet has a near 9,000mAh battery capacity, providing long battery life, and supports 67W fast charging. It also comes with a range of accessories, including the Focus Pen stylus and keyboard covers.

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20 Excellent Games, One TERRIBLE Console

The PlayStation Classic has a decent number of games, but the lineup is flawed, and the hardware choices are questionable. The lack of an AC adapter and dual shock controllers is notable, and the inclusion of PAL versions of some games is a mistake. The console's potential was wasted, and it did not sell well, leading to a significant price drop. The PlayStation Classic is a disappointing console that could have been a massive success with a better lineup of games and more attention to detail.

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The Map That Confused FFVII Players for 27 Years

The Collapsed Expressway map in Final Fantasy VII has been notorious for its confusing layout, particularly with the beam that appears to connect two raised portions of the map. However, it was recently discovered that this map was never intended to look this way, and leftover files reveal a puzzle that was meant to be solved to lower the beam and connect the two parts of the Expressway.

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The Slow and Deserved Downfall of Intel

Intel's current state is a far cry from its former glory, with the company barely ranking in the top 10 CPUs sold on Amazon. The launch of their new Aerol Lake CPUs has been met with lukewarm interest, and the company's valuation has tanked, with a 60% decline over the past 5 years. The video explores the reasons behind Intel's downfall, including poor leadership decisions, lack of innovation, and stagnation in their fabrication process.

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A CPU ahead of its time: The Pentium Pro

The Pentium Pro was a significant improvement over its predecessor, the Pentium, with its integrated level two cache, dual integer pipelines, and 64-bit data bus. Released in 1995, it was intended to replace the original Pentium but was limited to server and high-end desktop markets due to low yields and high prices. The CPU's unique design, with the level two cache inside the CPU package, made it larger than its predecessor and pushed Intel's manufacturing technology to its limits.

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Branchless Programming: Why "If" is Slow and What We Can Do About It

The video discusses branchless programming, a technique to minimize or reduce the number of branches in code, which can improve performance. A branch in programming occurs when the CPU has more than one path to take, and the CPU tries to guess which path to load, leading to potential slow downs. The speaker provides examples of branchless programming in C++ and assembly, demonstrating how to convert a string of ASCII characters to uppercase without using branches. The video also explores the use of SIMD instructions, such as AVX, to further improve performance.

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Google announces Gemini Robotics for building general purpose robots

Gemini Robotics is a vision-language-action (VLA) model by Google DeepMind that aims to bring Gemini and AI to the physical world. It was created to make general purpose robots that can perform a wider range of real-world tasks than ever before. The VLA is built on Gemini 2.0 and has physical actions as an additional output modality for the purpose of directly controlling robots. Google built its robotic AI model to be able to understand and respond quickly to instructions or changes in the environment, capable of the kinds of things people can generally do with their hands and fingers, and adept with dealing with new objects, diverse instructions, and new environments. A video showing some of the model's capabilities is available in the article.

#technology #ai #google #robotics

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New Intel CEO Lip-Bu Tan will pick up where Pat Gelsinger left off

Lip-Bu Tan will become the CEO of Intel on March 18. Former CEO Pat Gelsinger was booted from the position on December 2 after several quarters of losses, rounds of layoffs, and canceled or spun-off side projects. Tan was previously on Intel's board from 2022 to 2024 and has been a board member for several other technology and chip manufacturing companies. Intel reported a loss of $18.76 billion in 2024, its first annual loss since 1986.

#technology #intel #ceo

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Lithium-ion batteries are remaking Google’s data centers

Google installed 100 million lithium-ion cells across its data centers to provide backup power to its servers. The lithium-ion cells hold twice the power and take up half as much space as the lead-acid batteries they replaced, allowing the company to cut the number of cells required by three-quarters - more space for servers. Batteries are driving change in a myriad parts of the economy. Panasonic has shipped over 10 billion cells from its Nevada plant since it opened in 2015.

#technology #google #datacenter #battery #lithium

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General Fusion's reactor prototype creates plasma for the first time

Canadian startup General Fusion has created plasma inside its prototype reactor, a major milestone in proving its technology. The company uses technology that dates back to the 1970s - details are available in the article. The prototype is now forming plasmas daily - the next step is to compress the plasmas with a lithium liner to create fusion and heating from compression. The company hopes it will achieve scientific break-even equivalent by 2026.

#technology #energy #nuclearfusion #plasma

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Something Is Rotten in the State of Cupertino

It was clear when Apple announced Apple Intelligence that some of its features were more ambitious than others. Apple hinted strongly that the various features wouldn't all ship at the same time - the more trivial features would ship first. Its more ambitious features have been delayed until sometime 'in the coming year'. Apple appears to have pitched a story that wasn't true and set a course based on that.

#apple #ai

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The Cultural Divide between Mathematics and AI

The excitement around AI's potential contributions to mathematics doesn't always come with a nuanced understanding of what mathematics truly is and isn't. This post attempts to articulate these differences and hopefully build a bridge for better collaboration. Most mathematicians are not interested in AI creating new mathematics, but in processing and organizing existing knowledge. Even if AI was able to produce a proof of a major conjecture, it would fail to deliver the deeper understanding that mathematicians truly seek.

#technology #science #mathematics #ai

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MGX invests $2B in Binance

MGX, an Abu Dhabi-based AI and tech investor, has made a landmark $2B investment in Binance - the largest single institutional investment ever into a crypto company and the largest ever paid in stablecoin. This investment, MGX's first in blockchain, aims to support blockchain innovation and solidify Binance's role in the global digital finance ecosystem.

#technology #crypto #binance #mgx

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Russia Central Bank Proposes Allowing Rich Investors to Buy and Sell Crypto

Russia's central bank has proposed new regulations allowing high net-worth individuals (>$11.5M assets) and qualified institutions to trade crypto during a three-year testing period. Aiming to increase market transparency while maintaining a ban on crypto as a general payment method, this marks another step in Russia's evolving stance on digital assets following its legalization of crypto for international payments and mining amid ongoing sanctions.

#technology #russia #crypto

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Introducing Giza Protocol

Giza Protocol is building infrastructure to enable trustless, context-aware, and permissionless agents in Web3 powered by a three-layer infrastructure—Semantic Abstraction for AI-blockchain interaction, Decentralized Execution with EigenLayer's cryptoeconomic security, and Agent Authorization for non-custodial control. Giza aims to democratize algorithmic finance and enhance capital efficiency across protocols.

#technology #crypto #giza

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Bullet testnet is live

Bullet is a high-speed trading network built on Solana designed for traders who need ultra-low latency (2ms) and high performance. It outperforms both centralized and decentralized exchanges. Evolving from Zeta, it introduces a dedicated execution layer with real-time transactions, zero-knowledge proofs for transparency, and a network token for gas and node operations.

#technology #crypto #solana #trading #bullet

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How to get new users in crypto

Acquiring new users in crypto is increasingly challenging due to market saturation with over 8,700 L1s and 5,200 L2s, fragmented global audiences, trust issues stemming from premature technology, and 415 Bitcoin “death” headlines, as evidenced by declining Google search trends for “crypto.” Developers are overcoming these barriers through personalized onboarding, coordinated marketing across stakeholders, consistent messaging, and storytelling to engage users, helping founders cut through attention fragmentation.

#technology #crypto #onboarding

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One trader VS. Hyperliquid's HLP vault

A trader used high leverage to build a massive ETH long position on Hyperliquid, then strategically withdrew collateral to trigger liquidation, offloading risk onto the HLP vault while hedging elsewhere for profit. The result: a $1.8M gain for the trader and a $4M loss for HLP, exposing vulnerabilities in liquidity mechanics rather than an outright exploit.

#technology #crypto #hyperliquid #vulnerability

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Make Revenue Great Again

Amid declining liquidity and valuation pressures in Web3, revenue is re-emerging as a critical focus, pushing projects to adopt transactional fee models over speculative token launches. Industry leaders like Uniswap sustain consistent fees, while infrastructure providers like Polymarket and MetaMask generate significant revenue from transaction volumes, with some, like Ronin and Kaito, experimenting with token buybacks to tie value to cash flow.

#technology #crypto #web3 #revenue

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Trezor Safe 3 susceptible to physical supply chain attacks

Ledger Donjon's security research revealed a potential supply chain attack on Trezor Safe 3 where an attacker could tamper with its microcontroller to compromise user funds, despite the device using a Secure Element. Trezor responded by addressing the vulnerabilities, highlighting the importance of cross-industry cooperation and continuous security improvements in the crypto space.

#technology #crypto #trezor #security

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Spotify says it paid nearly 1,500 artists $1 million or more in royalties for 2024 streams

Spotify wrote in its annual Loud and Clear Report that nearly 1,500 artists generated more than $1 million in royalties in 2024.

Spotify is minting music millionaires.

Nearly 1,500 artists generated more than $1 million in royalties from Spotify in 2024, the company said Wednesday in its annual Loud and Clear Report.

Spotify said more than 80% of the artists in that pool did not have a song reach the app's Global Daily Top 50 chart. To reach that million-dollar threshold, an artist would need to have around four to five million monthly listeners, or 20 million to 25 million monthly streams.

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"Spotify has helped level the playing field for artists at every stage of their careers," the company said in the report. "Success in the streaming era doesn't require a decade-spanning catalog nor a chart-topping hit."

The news comes about a month after the company reported a fourth-quarter earnings beat that saw the Swedish music streamer record its first full year of profitability.

Spotify said the upper echelon of royalties, artists who generate more than $10 million, has soared 600% since 2017, reaching a total of 70 for 2024.

The company said it paid an all-time high of $10 billion in royalties to the music industry for 2024, a figure it claimed is "more than any single retailer has ever paid in a year, and over 10x the contribution of the largest record store at the height of the CD era."

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Meta to Test Crowdsourced Fact-Checking

Facebook and Instagram parent company Meta Platforms Inc. said Thursday it will begin testing its crowd-sourced fact-checking program, Community Notes, on March 18. It will initially based on a ratings system used by Elon Musk's X.

Meta ended its fact-checking program in January. CEO Mark Zuckerberg said at the time that fact-checkers had become “politically biased," using some of the language that conservatives have long used to criticize his platforms. But media experts and those who study social media were aghast at Meta’s policy shift.

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The decision "not only removes a valuable resource for users, but it also provides an air of legitimacy to a popular disinformation narrative: That fact-checking is politically biased. Fact-checkers provide a valuable service by adding important context to the viral claims that mislead and misinform millions of users on Meta,” said Dan Evon, lead writer for RumorGuard, the News Literacy Project’s digital tool that curates fact checks and teaches people to spot viral misinformation.

Meta began fact checks in December 2016, after President Donald Trump was elected to his first term, in response to criticism that “fake news” was spreading on its platforms. For years, the tech giant boasted it was working with more than 100 organizations in over 60 languages to combat misinformation.

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Google's Gemini Robotics: AI That Sees, Speaks, and Acts

Google DeepMind just dropped Gemini Robotics, a new AI model that doesn't just think—it moves. Built on Gemini 2.0, this vision-language-action (VLA) model is designed to help robots handle real-world tasks like humans do, from manipulating objects to reacting to sudden changes. It’s all about making AI more hands-on, literally. Want to see it in action? Google shared a demo video—definitely worth a watch.

#ai #robotics #google #deeplearning #technology

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Intel's New Boss: Lip-Bu Tan Steps In

Lip-Bu Tan takes over as Intel’s CEO on March 18, picking up the pieces after Pat Gelsinger’s exit in December. Gelsinger got the boot after Intel’s rough 2024—$18.76 billion in losses, layoffs, and scrapped projects. Tan, who served on Intel’s board from 2022 to 2024, brings deep chip industry experience. Now, he’s got the tough job of turning things around.

#intel #chips #business #ceo #technology

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Google’s Data Centers Just Got a Major Battery Upgrade

Google swapped out old lead-acid batteries for 100 million lithium-ion cells in its data centers. These new batteries hold twice the power and take up half the space, freeing up room for more servers. The shift slashes the number of backup cells by 75%—a game-changer for efficiency. Meanwhile, Panasonic has shipped over 10 billion lithium-ion cells from its Nevada factory since 2015. Batteries aren’t just for EVs—they’re reshaping entire industries.

#google #datacenters #batteries #lithiumion #technology

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Fusion Breakthrough: General Fusion Hits a Key Milestone

General Fusion just pulled off a big step toward practical nuclear fusion—they created plasma inside their prototype reactor for the first time. This tech has roots in the 1970s, but now they’re forming plasmas daily. Next up: compressing them with a liquid lithium liner to generate fusion energy. If all goes well, they’re aiming for scientific break-even by 2026.

#fusion #energy #innovation #science #technology

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Apple’s AI Plans Might Not Be What They Seem

when apple announced apple intelligence, they made it sound like a game-changer. but now, the most ambitious features are delayed indefinitely, with only the simpler ones coming first. apple hinted at this early on, but the way they framed it made it seem like a smoother rollout than reality suggests. did they overpromise? or were they just vague enough to manage expectations? either way, the hype might not match what we actually get.

#apple #ai #cupertino #technews #technology

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Google's Gemma 3: A Game-Changer for AI Developers

Google just dropped Gemma 3, an open-source AI that runs on a single GPU and can handle a massive 128K token context window. That’s like remembering an entire book’s worth of text at once. Perfect for devs building AI that needs to run efficiently across different environments. If you’re working with AI models, this one’s worth checking out.

#ai #opensource #gpu #machinelearning #technology

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!summarize #government #agi

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Part 1/9:

The Impending Arrival of AGI: Insights from the Ezra Klein Show

In a thought-provoking episode of the Ezra Klein Show, journalist Ezra Klein interviews Ben Buchanan, former Special Adviser for AI to the Biden White House, who stresses the urgency of preparing for the advent of Artificial General Intelligence (AGI). Both Klein and Buchanan share a common belief: transformative AGI will likely arrive within the next few years, and its impact on society could be unprecedented. Their conversation delves into critical topics surrounding AI advancements, U.S.-China competition, and the potential ramifications for jobs, national security, and cyber security.

The Warning Signs Are Here

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Klein opens the episode by noting an alarming trend: experts from various domains — including AI labs and government agencies — are increasingly conveying that we are on the verge of a significant technological breakthrough. Initially, predictions suggested that AGI would be a reality within 5 to 15 years; however, recent insights indicate that we may only have 2 to 3 years before it arrives. This shift raises urgent questions about societal preparedness, economic ramifications, and the evolving landscape of employment.

The Unpreparedness of Society

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Throughout the discussion, Klein asserts that society is woefully unprepared for the changes AGI will bring. He highlights the uncertainty surrounding labor market adaptations, the geopolitical landscape, and the broader implications for warfare and peace. The primary takeaway is clear: decision-makers in government are likely to be in power as AGI makes its entrance, necessitating proactive measures to navigate the impending transformation.

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Buchanan’s background in cybersecurity greatly informs the conversation, shedding light on the national security implications of AGI. While both speakers acknowledge the potential benefits of AGI, Buchanan underscores that the primary concern for government officials remains military dominance and protecting democracy rather than the potential economic upheaval or job displacement that may follow.

The Shift in Technological Development Funding

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A significant point of discussion revolves around the unique position of AI as a revolutionary technology that has not been predominantly funded by the Department of Defense — a stark departure from historical technological advancements which typically relied on government investment. Unlike past innovations, such as nuclear technology or early internet developments, AI has emerged largely from private sector efforts, catching the government off guard. Buchanan emphasizes the need for the government to better understand these non-militarily funded technologies to effectively shape their future.

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This change also affects how the U.S. approaches competition with China regarding AI advancements. Buchanan expresses concern that a more capable AI could enhance China's military operations, marking a priority for U.S. policy-makers.

The Debate on AI and Employment

As the conversation progresses, Klein and Buchanan address the broader implications of AGI on employment. Buchanan reflects on the transformative potential of AI while acknowledging that its deployment across the economy will cause significant upheaval and transition. Both he and Klein point out the various perspectives held by labor economists about how AI will impact jobs, highlighting the uncertainty of future employment landscapes.

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In a particularly striking moment, Klein warns that sophisticated AI could lead to drastically increased unemployment within certain sectors, such as marketing, as machines replace roles traditionally held by humans. Here, the question arises: how can society ensure that workers are an integral part of this transition?

National Security and the Regulation of AI

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The conversation also touches on the regulatory landscape around AI and how the Biden Administration plans to manage the burgeoning field. Buchanan's coy answers about potential nationalization of AI labs reveal possible government intentions to assume greater control over AI development in the face of rapid advancements. This raises questions about the balance between encouraging innovation and maintaining national security interests.

While Buchanan refuses to confirm specific plans for controlling AI advancements, he and Klein acknowledge the need for regulation that aligns with the growing power of these technologies. This discussion points to a tension between the inherent risks of unfettered AI development and the need for prudent oversight.

A Call for Action

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Klein concludes the episode with a sense of urgency, stressing that the rapid advancements in AI warrant immediate action from the government and society at large. As conversations surrounding AGI grow increasingly vocal, there is a resounding call for heightened awareness and proactive measures to prepare for its impending arrival.

Through this enlightening discourse, Klein and Buchanan illuminate the various facets of AGI's impact on society, emphasizing the need for clear plans, extensive research, and a commitment to ensuring that workers don’t get left behind. As they suggest, the time for preparation is now, as we stand on the cusp of a monumental shift in human history.

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Nvidia Dominates AI Training, but Inference Is Still Up for Grabs

Nvidia crushed the AI training game, but inference? That’s a different beast. Unlike training, which is mostly about raw compute, inference depends on memory, bandwidth, and where the model runs. A massive LLM on a cloud server needs different hardware than a small AI assistant on your phone. That means the field is still open—whoever nails the balance of speed, efficiency, and cost could take the lead.

#ai #artificialintelligence #hardware #chipwars #technology

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REVOLUTIONIZING GAME ASSET CREATION WITH AI

Game Art Forge's new AI-powered templates are a game-changer for developers. By blending AI's speed with human creativity, indie devs and big teams alike can work faster and more efficiently. The customizable system ensures high-quality, consistent results without losing creative freedom. It's the tool developers have been waiting for to streamline production and scale projects with ease.

#AI #gameart #indiegames #gamedevelopment #technology

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AI SCIENTIST'S BREAKTHROUGH PUBLICATION

An AI scientist from Sakana Labs just made a huge leap! They came up with an idea, ran experiments, and wrote a groundbreaking paper that got accepted for a workshop at ICLR. This marks their first reviewed publication, showing the power of independent research and innovation. It’s a big win for the future of AI, where the researcher not only creates the concepts but takes charge from start to finish.

#aiscience #researchbreakthrough #aiinnovation #technology

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Google’s Latest AI Gemma 3 Model

Google just dropped the weights and technical report for its new Gemma 3 model. Available in four sizes, it’s as powerful as Gemini 1.5 Pro and understands over 140 languages. The model’s performance is cutting-edge, putting it on par with top-tier dense models. Whether you're building AI tools or diving into language processing, Gemma 3 might just be the boost you need.

#google #gemma3 #ai #technology

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Google's Latest Dense Models: Game-Changer in AI

Google just dropped some serious AI firepower with their latest dense models, ranking 9th in the field. These models are multilingual powerhouses, supporting over 140 languages. Expect them to become a cornerstone for the AI community, especially with future open releases. Right now, they're the top dogs for single GPU use—making them a major leap forward in accessibility and efficiency.

#AI #Google #MachineLearning #technology

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Breaking New Ground in Diffusion Models

TaylorSeer has unveiled a cool method that predicts future timestep features in diffusion models, using the Taylor series expansion. This innovation cuts down errors in feature caching, which is huge for accuracy. Imagine using a shortcut to skip ahead in a race—this method lets diffusion models "skip ahead" with much more precision. It's a game-changer for machine learning, offering better predictions and efficiency in complex models. A big leap forward!

#diffusionmodels #machinelearning #innovation #ai #technology

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CATANet Revolutionizes Image Super-Resolution

CATANet is changing the game in image super-resolution. By aggregating long-range content-similar tokens, it significantly enhances image quality. Unlike traditional methods, CATANet focuses on understanding distant parts of an image and using that information to improve resolution. This approach is like zooming out to see the bigger picture and then zooming in to perfect every detail. It’s a major leap forward for high-quality image generation and restoration.

#AI #imageprocessing #superresolution #technology

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Next-Level Motion Tech: Attention-Based Mask Modeling

Motion Anything just dropped a game-changer: Attention-based Mask Modeling. This new approach amps up motion generation by improving spatial and temporal control. Imagine crafting movements in 3D like an artist with a more detailed brush, allowing for more precise control over each action. This tech means smoother, more responsive animations in real-time, whether for games or simulations. It’s a major leap for anyone working in motion capture or animation.

#motioncapture #animationtech #spatialcontrol #3dmodels #technology

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REVOLUTIONIZING VIDEO INPAINTING: DUAL-STREAM ARCHITECTURE

VideoPainter is changing the game with its dual-stream video inpainting, making video editing faster and more efficient. This tech reduces learning complexity and keeps backgrounds intact while generating objects smoothly. Plus, they've released VPData and VPBench—the largest video inpainting dataset and benchmark so far, pushing the boundaries of what's possible in the field. This could make video edits more seamless than ever!

#videotechnology #AI #machinelearning #innovation #technology

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Hugging Face's New OpenR1 Update: Small Models, Big Wins

Hugging Face just dropped an update to its OpenR1 model, diving into how small models can actually beat bigger ones in competitive coding. Their DeepSeek reasoning model is showing that, with the right tuning, compact models can outperform the heavyweights in tasks like code challenges. It's a game-changer for developers looking for speed and efficiency without the huge data demands.

#AI #MachineLearning #DeepLearning #technology

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Part 1/6:

The New M4 MacBook Air: A Powerful Upgrade at an Attractive Price

As technology continues to advance, Apple has once again refreshed its MacBook Air lineup, introducing the M4 MacBook Air in 2025. Positioned at a competitive price point of $999, the new model boasts impressive hardware enhancements, shifting from its already commendable predecessors to a configuration that balances performance and affordability beautifully.

Enhancements in Design and Functionality

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Part 2/6:

At first glance, the new MacBook Air does not appear drastically different from its earlier models, maintaining its sleek aluminum build and familiar design elements. Noteworthy upgrades include a slightly modified battery capacity—an increase from 52.6 watt-hours to 53.8 watt-hours—and a revamped 12-megapixel center stage webcam that tracks the user's movements during video calls.

Although Apple has introduced a new color option—dubbed "Sky Blue"—the hue has been humorously described as "barely blue." Most users may find it indistinguishable from its predecessors in many lighting conditions. The laptop retains essential features such as a full-sized keyboard, MagSafe charging, and USB Type-C ports, all of which contribute to the timeless practicality of the MacBook Air.

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Part 3/6:

Performance Powered by the M4 Chip

The heart of the M4 MacBook Air is its new chip, which Apple fans have already become familiar with from its successful use in the M4 Mac Mini and iPad Pro. The M4 chip excels in normal computing tasks, offering impressive performance with the advantage of being fanless, thanks to its passive cooling design.

One of the remarkable aspects of the M4 chip is its enhanced capability in AI processing, featuring a powerful 16-core neural engine. These specifications not only cater to casual users but also imply that the M4 MacBook Air can handle demanding tasks typically reserved for Pro-level machines, such as 4K and 8K video editing in Final Cut Pro.

Everyday Use: Beyond Basic Tasks

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Part 4/6:

Traditionally seen as an entry-level laptop for email checking and web browsing, the MacBook Air is now achieving capabilities that exceed its original design intentions. The M4 MacBook Air can smoothly manage multiple applications and heavy workloads, presenting an impressive value proposition for users who might engage in occasional photo editing or similar tasks without needing a more powerful Pro model.

Interestingly enough, users highlighted two displays capable of 6K output as an improvement over the previous generation, meaning this laptop can now cater to more specialized needs too.

Need for a Better Display

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Despite the positive performance enhancements, a notable critique remains regarding the laptop’s display. The expectation for a more premium screen experience is palpable, especially when considering Apple’s higher-end offerings. While many everyday users may find the current display adequate, there seems to be room for improvement, particularly in brightness and resolution, that would elevate the overall experience of the MacBook Air.

Value Proposition and Conclusion

When analyzing the new M4 MacBook Air's pricing strategy, it stands out for retaining its starting price of $999 while offering 16GB of unified memory and 256GB of base storage. This is a significant upgrade, especially considering the previous models' higher price points.

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Part 6/6:

For those planning to purchase a Mac laptop, it's worth exploring the previous generation at $799, which features the same memory but lower storage. This model may still be an excellent fit for users who do not engage in high-end processing regularly.

Ultimately, while the M4 MacBook Air does not revolutionize the line drastically, it signifies an evolution in usability and flexibility, cementing its status as a smart, reliable entry-level laptop for newcomers and casual users alike. The combination of a solid design, an impressive chip, and an attractive price makes it a device worth considering for anyone in the market for a new laptop.

Thanks for reading, and stay tuned for more tech reviews and updates!

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If Unified Memory Is Good For Consoles, Why Not PC?

The video discusses the concept of unified memory in consoles and its potential application in PCs. Unified memory refers to a shared pool of memory that can be accessed by both the CPU and GPU, allowing for more efficient data transfer and reduced latency. However, the hosts argue that unified memory may not be suitable for PCs due to the complexity of their architecture and the need for configurability. They suggest that a more efficient approach might be to have separate pools of memory for the CPU and GPU, with the SSD feeding the GPU directly.

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Title: Hands-On Review of the Asus Zenbook A14

The Asus Zenbook A14 boasts an impressive 32 hours of continuous video playback, 28 hours of streaming, and 19.5 hours of web browsing on a single charge, all while weighing under 1 kg. It features a 14-inch OLED display, a Snapdragon X CPU, and a 70Wh battery.

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!summarize #technology #ai

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Part 1/8:

The Impact of Artificial Intelligence on Job Markets in IT

The rapid advancement of artificial intelligence (AI) technologies has left many professionals in the IT sector grappling with an important question: Will AI steal my job? As AI tools become an integral part of daily coding and software development, it raises concerns about job security while also highlighting potential new opportunities within the field.

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Part 2/8:

Among the changes brought by AI is the staggering rate at which new job postings emerge in the tech industry. For instance, a search on LinkedIn for "artificial intelligence" in the United States returned over 112,000 job listings, while the number was still significant with 4,428 results for Brazil. This dynamic landscape suggests that companies are increasingly seeking talent that is well-versed in AI.

Emerging Roles in AI

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A notable example found during a job search was for a Vice President of Artificial Intelligence position with an annual salary of $200,000 based in Campinas, Brazil. The responsibilities of this role include managing teams and projects focused on AI, requiring strong advocacy skills to effectively communicate innovations both internally and externally. This role exemplifies how AI is now even part of executive-level job titles, reinforcing its prevalence in contemporary business structures.

Staying Updated and Relevant

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Part 4/8:

For those currently working in IT, continuous learning appears essential. It's recommended to engage with platforms like the NVIDIA GTC conference, which schedules numerous sessions and workshops on AI, machine learning, and generative AI. This event not only offers knowledge but also practical insights on building autonomous AI agents and optimizing machine learning models.

Job Listings Illustrating Growth in AI

Exploring various job postings reveals significant trends. Companies like PicPay are now hiring Senior Engineers with a focus on integrating traditional software engineering with modern machine learning models and natural language processing. This shift underscores the necessity for developers to adapt their skills to include AI-related competencies.

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Part 5/8:

Another interesting role highlighted was in the area of AI testing. Here, the emphasis is on developing AI solutions to enhance quality assurance processes and ensure the reliability of software. Candidates are expected to have a deep understanding of machine learning frameworks and need to be adept at using data systems, showcasing how AI is interwoven into testing methodologies.

Roles in AI infrastructure, such as those for DevOps specialists, also reflect the expanding applicability of AI across different arenas. These positions typically require familiarity with specific tools like Vertex AI and often necessitate advanced English proficiency, opening up opportunities for remote work across borders.

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One particularly eye-catching listing was for a Senior Prompt Engineer to develop chatbots at Serasa Experian. This new specialization emphasizes the rising importance of prompt engineering in ensuring that AI models provide effective solutions and adaptive responses. The role involves iterating on prompts to optimize user experience in chatbots, further indicating the demand for specialized skills in working with generative AI tools.

The Need for Specialization

As these job roles suggest, AI is creating not only job opportunities but also new professions that need specialized knowledge. For example, skills related to prompt engineering or familiarity with generative models can now set candidates apart in a competitive job market.

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Part 7/8:

Even though the technology surrounding AI is evolving rapidly, there is a lag before these advancements are fully adopted in everyday business practices. Therefore, professionals need to stay engaged with the latest trends and continuously update their expertise.

Conclusion

The ever-growing footprint of AI in the tech industry reveals both a challenge and an opportunity for IT professionals. While concerns about job displacement are valid, the emergence of new roles and the integration of AI into existing processes indicate a transformation rather than a disappearance of jobs. As we look ahead, those who are proactive in their learning and adaptable to new AI technologies will find themselves well-prepared for the changes to come.

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Part 8/8:

As readers reflect on their readiness to embrace AI within their careers, it’s crucial to engage with ongoing discussions and innovations in this rapidly changing field. The future might not be distant; it's unfolding now, and staying informed is the key to thriving in this new job landscape.

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!summarize #technology

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Part 1/9:

Understanding the Real-World Challenges of Programming: A Case Study on Payment Slip Bugs

In the world of programming, developers are often confronted with the daunting reality of working around bugs and creating improvised solutions. This reality is elaborated in a recent video, which was recorded on February 14, 2025, discussing a critical bug related to the issuance of payment slips (boletos) in Brazil. Despite efforts to rectify this issue years ago, many companies still find themselves racing against time to ensure they can produce valid payment slips amidst potential technical failures.

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The video emphasizes that even as larger banking institutions have prepared for this change, smaller companies have lagged, leaving them vulnerable as critical deadlines approach. However, it assures viewers that solutions are not only available but relatively straightforward to implement.

The Partnership with Alura

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The video also highlights a partnership with Alura, Brazil's leading technology school, which offers an extensive catalogue of courses across various technologies. Alura provides students of all levels the opportunity to upgrade their skills continuously. It promotes a special discount deal for their program subscriptions, including access to cutting-edge resources like an artificial intelligence study assistant and specialized English courses tailored for technology professionals.

The Issue with Payment Slip Generation

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The primary topic addresses the regulations set by FEBRABAN, the organization responsible for standardizing payment slips in Brazil. This organization required the implementation of a maturity factor—a four-digit code that determines the payment slip's due date. The maturity factor system began on October 7, 1997, with a starting point of zero and is scheduled to reach its limit of 9,999 on February 22, 2025.

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Once this limit is reached, the FEBRABAN has established a contingency plan: the maturity factor will be reset to 1,000, and subsequent dates will follow this new numbering system. For instance, February 23, 2025, will be assigned the maturity factor of 1,000, gradually increasing thereafter until it again reaches 9,999 by October 13, 2049, when further adjustments will need to be made.

Technical Solution Using Python

The video provides a comprehensive guide on crafting a solution using Python, though the principles can be adapted to any programming language. It involves importing the DateTime library to manage date calculations.

The proposed solution includes three functions:

  1. Old Maturity Factor Calculation: Calculates the maturity factor based on the original system.
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  1. New Maturity Factor Calculation: Incorporates the changes dictated by FEBRABAN’s new rules.

  2. Date of Maturity Calculation: Establishes how to manage the calculations based on input dates.

Through example codes, the video demonstrates how to set date constants, run calculations, and troubleshoot coding errors to ensure the solution functions effectively. This hands-on approach not only makes the task manageable but also includes sufficient flexibility for future adjustments due to potential changes in regulations.

Acknowledging Future Challenges

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As the video concludes, it acknowledges the relatively simple patch for what could potentially be a significant programming challenge over the coming decades. Despite the solution's perceived simplicity, it notes that developers must remain vigilant and ready for future complications. For instance, if a payment slip exceeds 100 million reais, the factors determining its due date may exceed the set limits, creating a new range of problems.

Final Thoughts

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Balancing practicality with predictive insights, the video aims to equip viewers with the tools needed to navigate this pressing issue in the payment slip landscape. It encourages programmers to embrace the challenge of finding clever workarounds—not just as a testament to skill but also as a necessary aspect of adapting to the ever-evolving tech landscape.

As programmers face the reality of bugs and limitations in their systems, innovative thinking and continuous learning are essential for success in an ever-changing technology environment. This video serves as a reminder that while solutions can often seem like mere "gambiarras" (makeshift fixes), they represent critical advancements in technological resilience.

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Stay tuned for more insights and solutions related to real-world programming challenges!

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