Jeff Bezos is spearheading a new AI started called Project Prometheus, focused on his current interests in space and engineering, The New York Times reports. The company, which has yet to be made public, will reportedly have $6.2 billion in funding. Part of that sum will come from Bezos, who will act as co-CEO. 

Project Prometheus will reportedly focus on creating AI systems that gain knowledge from the physical world, rather than just processing digital information, like AI chatbots. In particular, the company will reportedly explore how AI can support engineering and manufacturing in areas such as vehicles and space technology. Bezos founded space technology company Blue Origin more than two decades ago. The company’s New Glenn rocket had a successful second flight last week. 

He is joined by Vik Bajaj as co-founder and co-CEO. Bajaj is a physicist and chemist who worked on projects at Google X including Wing and what became Waymo. In 2018, he co-founded Foresite Labs, which supports entrepreneurs in the fields of AI and data science. Bajaj is still named as CEO of Foresite Labs on the company’s website and his LinkedIn page — the latter of which also shows his new titles at Project Prometheus. Bajaj lists his involvement in the new company as starting this month and puts San Francisco, London and Zurich as its locations. 

On its bare LinkedIn page, Project Prometheus’ overview states only “AI for the physical economy.” It also lists itself as a “Technology, Information and Internet” company with 51-200 employees. According to The New York Times, Project Prometheus has hired nearly 100 people, with some employees coming from fellow AI companies like OpenAI and DeepMind. 

This article originally appeared on Engadget at https://www.engadget.com/ai/jeff-bezos-will-head-a-new-engineering-focused-ai-startup-called-project-prometheus-122115977.html?src=rss

Valve’s second big foray into first-party PC hardware isn’t a sequel to the much-imitated Steam Deck portable, but rather a desktop computer called the Steam Machine. And while it could go on your desk, Valve clearly intends for it to fit in an entertainment center under a TV—next to, or perhaps even instead of, a game console like the Xbox or PlayStation 5.

I am pretty sure this idea could work, and it’s because I’ve already been experimenting with what is essentially a “Steam Machine” underneath my own TV for months, starting in May when Valve began making it possible to install SteamOS on certain kinds of generic PC hardware.

Depending on what it costs—and we can only guess what it will cost—the Steam Machine could be a good fit for people who just want to plug a more powerful version of the Steam Deck experience into their TVs. But for people who like tinkering or who, like me, have been messing with miniature TV-connecting gaming PCs for years and are simply tired of trying to make Windows workable, the future promised by the Steam Machine is already here.

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655″Just a little more than a month after reaching an all-time high, Bitcoin has erased the more than 30% gain registered since the start of the year…” reports Bloomberg:

The dominant cryptocurrency fell below US$93,714 on Sunday, pushing the price beneath the closing level reached at the end of last year, when financial markets were rallying following President Donald Trump’s election victory. Bitcoin soared to a record US$126,251 on Oct 6, only to begin tumbling four days later after unexpected comments on tariffs by Trump sent markets into a tailspin worldwide. “The general market is risk-off,” said Matthew Hougan, the San Francisco-based chief investment officer for Bitwise Asset Management. “Crypto was the canary in the coal mine for that, it was the first to flinch.”

Over the past month, many of the biggest buyers — from exchange-traded fund allocators to corporate treasuries — have quietly stepped back, depriving the market of the flow-driven support that helped propel the token to records earlier this year. For much of the year, institutions were the backbone of Bitcoin’s legitimacy and its price. ETFs as a cohort took in more than US$25 billion, according to Bloomberg data, pushing assets as high as roughly US$169 billion. Their steady allocation flows helped reframe the asset as a portfolio diversifier — a hedge against inflation, monetary debasement and political disarray. But that narrative — always tenuous — is fraying afresh, leaving the market exposed to something quieter but no less destabilising: disengagement. “The selloff is a confluence of profit-taking by LTHs, institutional outflows, macro uncertainty, and leveraged longs getting wiped out,” said Jake Kennis, senior research analyst at Nansen. “What is clear is that the market has temporarily chosen a downward direction after a long period of consolidation/ranging…”

Boom and bust cycles have been a constant since Bitcoin burst into the mainstream consciousness with a more than 13,000% surge in 2017, only to be followed by a plunge of almost 75% the following year… Bitcoin has whipsawed investors through the year, dropping to as low as US$74,400 in April as Trump unveiled his tariffs, before rebounding to record highs ahead of the latest retreat… The market downturn has been even tougher on smaller, less liquid tokens that traders often gravitate toward because of their higher volatility and typical outperformance during rallies. A MarketVector index tracking the bottom half of the largest 100 digital assets is down around 60% this year.

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“To be clear, the current economics of space-based data centers don’t make sense,” writes the Wall Street Journal.

“But they could in the future, perhaps as soon as a decade or so from now, according to an analysis by Phil Metzger, a research professor at the University of Central Florida and formerly of the National Aeronautics and Space Administration.”

“Space enthusiasts (comme moi) have long sought a business case to enable human migration beyond our home world,” he posted on X amid the new hype. “I think AI servers in space is the first real business case that will lead to many more….”

The argument essentially boils down to the belief that AI’s needs are eventually going to grow so great that we need to move to outer space. There the sun’s power can be more efficiently harvested. In space, the sun’s rays can be direct and constant for solar panels to collect — no clouds, no rainstorms, no nighttime. Demands for cooling could also be cut because of the vacuum of space. Plus, there aren’t those pesky regulations that executives like to complain about, slowing construction of new power plants to meet the data-center needs. In space, no one can hear the Nimbys scream.
“We will be able to beat the cost of terrestrial data centers in space in the next couple of decades,” Bezos said at a tech conference last month. “Space will end up being one of the places that keeps making Earth better.”

It’s still early days. At Alphabet, Google’s plans sound almost conservative. The search-engine company in recent days announced Project Suncatcher, which it describes as a moonshot project to scale machine learning in space. It plans to launch two prototype satellites by early 2027 to test its hardware in orbit. “Like any moonshot, it’s going to require us to solve a lot of complex engineering challenges,” Pichai posted on social media. Nvidia, too, has announced a partnership with startup Starcloud to work on space-based data centers. Not to be outdone, Elon Musk has been painting his own updated vision for the heavens… in recent weeks he has been talking more about how he can use his spaceships to deploy new versions of his solar-powered Starlink satellites equipped with high-speed lasers to build out in-space data centers.

On Friday, Musk further reiterated how those AI satellites would be able to generate 100 gigawatts of annual solar power — or, what he said, would be roughly a quarter of what the U.S. consumes on average in a year. “We have a plan mapped out to do it,” he told investor Ron Baron during an event. “It gets crazy.” Previously, he has suggested he was four to five years away from that ability. He’s also touted even wilder ideas, saying on X that 100 terawatts a year “is possible from a lunar base producing solar-powered AI satellites locally and accelerating them to escape velocity with a mass driver.” Simply put, he’s suggesting a moon base will crank out satellites and throw them into orbit with a catapult. And those satellites’ solar panels would generate 100,000 gigawatts a year. “I think we’ll see intelligence continue to scale all the way up to where…most of the power of the sun is harnessed for compute,” Musk told a tech conference in September.

Read more of this story at Slashdot.

“Windows is evolving into an agentic OS,” Microsoft’s president of Windows Pavan Davuluri posted on X.com, “connecting devices, cloud, and AI to unlock intelligent productivity and secure work anywhere.”

But former Uber software engineer and engineering manager Gergely Orosz was unimpressed. “Can’t see any reason for software engineers to choose Windows with this weird direction they are doubling down on. So odd because Microsoft has building dev tools in their DNA… their OS doesn’t look like anything a builder who wants OS control could choose. Mac or Linux it is for devs.”

Davuluri “has since disabled replies on his original post…” notes the blog Windows Central, “which some people viewed as an attempt to shut out negative feedback.” But he also replied to that comment…

Davuluri says “we care deeply about developers. We know we have work to do on the experience, both on the everyday usability, from inconsistent dialogs to power user experiences. When we meet as a team, we discuss these pain points and others in detail, because we want developers to choose Windows…” The good news is Davuluri has confirmed that Microsoft is listening, and is aware of the backlash it’s receiving over the company’s obsession with AI in Windows 11. That doesn’t mean the company is going to stop with adding AI to Windows, but it does mean we can also expect Microsoft to focus on the other things that matter too, such as stability and power user enhancements.

Elsewhere on X.com, Microsoft CEO Satya Nadella shared his own thoughts on “the net benefit of the AI platform wave .” The Times of India reports:

Nadella said tech companies should focus on building AI systems that create more value for the people and businesses using them, not just for the companies that make the technology. He cited Bill Gates to emphasize the same: “A platform is when the economic value of everybody that uses it exceeds the value of the company that creates it.”Tesla CEO Elon Musk responded to Nadella’s post with a facepalm emoji.

Nadella said this idea matters even more during the current AI boom, where many firms risk giving away too much of their own value to big tech platforms. “The real question is how to empower every company out there to build their own AI-native capabilities,” he wrote. Nadella says Microsoft’s partnership with OpenAI is an example of zero-sum mindset industry… [He also cited Microsoft’s “work to bring AMD into the fleet.”]

More from Satya Nadella’s post:

Thanks to AI, the [coding] category itself has expanded and may ultimately become one of the largest software categories. I don’t ever recall any analyst ever asking me about how much revenue Visual Studio makes! But now everyone is excited about AI coding tools. This is another aspect of positive sum, when the category itself is redefined and the pie becomes 10x what it was! With GitHub Copilot we compete for our share and with GitHub and Agent HQ we also provide a platform for others.

Of course, the real test of this era won’t be when another tech company breaks a valuation record. It will be when the overall economy and society themselves reach new heights. When a pharma company uses AI in silico to bring a new therapy to market in one year instead of twelve. When a manufacturer uses AI to redesign a supply chain overnight. When a teacher personalizes lessons for every student. When a farmer predicts and prevents crop failure.That’s when we’ll know the system is working.

Let us move beyond zero-sum thinking and the winner-take-all hype and focus instead on building broad capabilities that harness the power of this technology to achieve local success in each firm, which then leads to broad economic growth and societal benefits.
And every firm needs to make sure they have control of their own destiny and sovereignty vs just a press release with a Tech/AI company or worse leak all their value through what may seem like a partnership, except it’s extractive in terms of value exchange in the long run.

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“Three Chinese astronauts returned from their nation’s space station Friday,” reports the Associated Press, “after more than a week’s delay because the return capsule they had planned to use was damaged, likely from being hit by space debris.”

The team left their Shenzhou-20 spacecraft in orbit and came back using the recently arrived Shenzhou-21, which had ferried a three-person replacement crew to the station, China’s Manned Space Agency said.
The original return plan was scrapped because a window in the Shenzhou-20 capsule had tiny cracks, most likely caused by impact from space debris, the space agency said Friday… Their return was delayed for nine days, and their 204-day stay in space was the longest for any astronaut at China’s space station…

China developed the Tiangong space station after the country was excluded from the International Space Station over U.S. national security concerns. China’s space program is controlled by its military.

Read more of this story at Slashdot.

Android’s security team published a blog post this week about their experience using Rust. Its title? “Move fast and fix things.”

Last year, we wrote about why a memory safety strategy that focuses on vulnerability prevention in new code quickly yields durable and compounding gains. This year we look at how this approach isn’t just fixing things, but helping us move faster.

The 2025 data continues to validate the approach, with memory safety vulnerabilities falling below 20% of total vulnerabilities for the first time. We adopted Rust for its security and are seeing a 1000x reduction in memory safety vulnerability density compared to Android’s C and C++ code. But the biggest surprise was Rust’s impact on software delivery. With Rust changes having a 4x lower rollback rate and spending 25% less time in code review, the safer path is now also the faster one… Data shows that Rust code requires fewer revisions. This trend has been consistent since 2023. Rust changes of a similar size need about 20% fewer revisions than their C++ counterparts… In a self-reported survey from 2022, Google software engineers reported that Rust is both easier to review and more likely to be correct. The hard data on rollback rates and review times validates those impressions.

Historically, security improvements often came at a cost. More security meant more process, slower performance, or delayed features, forcing trade-offs between security and other product goals. The shift to Rust is different: we are significantly improving security and key development efficiency and product stability metrics.

With Rust support now mature for building Android system services and libraries, we are focused on bringing its security and productivity advantages elsewhere. Android’s 6.12 Linux kernel is our first kernel with Rust support enabled and our first production Rust driver. More exciting projects are underway, such as our ongoing collaboration with Arm and Collabora on a Rust-based kernel-mode GPU driver. [They’ve also been deploying Rust in firmware for years, and Rust “is ensuring memory safety from the ground up in several security-critical Google applications,” including Chromium’s parsers for PNG, JSON, and web fonts.]

2025 was the first year more lines of Rust code were added to Android than lines of C++ code…

Read more of this story at Slashdot.