China has introduced new guidelines that will mean US microprocessors from Intel and AMD are phased out of government PCs and servers [Editor's note: the link may be paywalled; non-paywalled source], as Beijing ramps up a campaign to replace foreign technology with homegrown solutions. From a report: The stricter government procurement guidance also seeks to sideline Microsoft's Windows operating system and foreign-made database software in favour of domestic options. It runs alongside a parallel localisation drive under way in state-owned enterprises. The latest purchasing rules represent China's most significant step yet to build up domestic substitutes for foreign technology and echo moves in the US as tensions increase between the two countries. Washington has imposed sanctions on a growing number of Chinese companies on national security grounds, legislated to encourage more tech to be produced in the US and blocked exports of advanced chips and related tools to China.

An anonymous reader shares a report: Nvidia earned its $2.2 trillion market cap by producing AI chips that have become the lifeblood powering the new era of generative AI developers from startups to Microsoft, OpenAI and Google parent Alphabet. Almost as important to its hardware is the company's nearly 20 years' worth of computer code, which helps make competition with the company nearly impossible. More than 4 million global developers rely on Nvidia's CUDA software platform to build AI and other apps. Now a coalition of tech companies that includes Qualcomm, Google and Intel, plans to loosen Nvidia's chokehold by going after the chip giant's secret weapon: the software that keeps developers tied to Nvidia chips.

They are part of an expanding group of financiers and companies hacking away at Nvidia's dominance in AI. "We're actually showing developers how you migrate out from an Nvidia platform," Vinesh Sukumar, Qualcomm's head of AI and machine learning, said in an interview with Reuters. Starting with a piece of technology developed by Intel called OneAPI, the UXL Foundation, a consortium of tech companies, plans to build a suite of software and tools that will be able to power multiple types of AI accelerator chips, executives involved with the group told Reuters. The open-source project aims to make computer code run on any machine, regardless of what chip and hardware powers it.

"It's about specifically - in the context of machine learning frameworks - how do we create an open ecosystem, and promote productivity and choice in hardware," Google's director and chief technologist of high-performance computing, Bill Hugo, told Reuters in an interview. Google is one of the founding members of UXL and helps determine the technical direction of the project, Hugo said. UXL's technical steering committee is preparing to nail down technical specifications in the first half of this year. Engineers plan to refine the technical details to a "mature" state by the end of the year, executives said. These executives stressed the need to build a solid foundation to include contributions from multiple companies that can also be deployed on any chip or hardware.

An anonymous reader shared this report from The Register: Chinese spies exploited a couple of critical-severity bugs in F5 and ConnectWise equipment earlier this year to sell access to compromised U.S. defense organizations, UK government agencies, and hundreds of other entities, according to Mandiant.

The Google-owned threat hunters said they assess, "with moderate confidence," that a crew they track as UNC5174 was behind the exploitation of CVE-2023-46747, a 9.8-out-of-10-CVSS-rated remote code execution bug in the F5 BIG-IP Traffic Management User Interface, and CVE-2024-1709, a path traversal flaw in ConnectWise ScreenConnect that scored a perfect 10 out of 10 CVSS severity rating.

UNC5174 uses the online persona Uteus, and has bragged about its links to China's Ministry of State Security (MSS) — boasts that may well be true. The gang focuses on gaining initial access into victim organizations and then reselling access to valuable targets... Just last month, Mandiant noticed the same combination of tools, believed to be unique to this particular Chinese gang, being used to exploit the ConnectWise flaw and compromise "hundreds" or entities, mostly in the U.S. and Canada. Also between October 2023 and February 2024, UNC5174 exploited CVE-2023-22518 in Atlassian Confluence, CVE-2022-0185 in Linux kernels, and CVE-2022-3052, a Zyxel Firewall OS command injection vulnerability, according to Mandiant.

These campaigns included "extensive reconnaissance, web application fuzzing, and aggressive scanning for vulnerabilities on internet-facing systems belonging to prominent universities in the U.S., Oceania, and Hong Kong regions," the threat intel team noted.
More details from The Record. "One of the strangest things the researchers found was that UNC5174 would create backdoors into compromised systems and then patch the vulnerability they used to break in. Mandiant said it believes this was an 'attempt to limit subsequent exploitation of the system by additional unrelated threat actors attempting to access the appliance.'"

"There is a new side channel attack against Apple 'M' series CPUs that does not appear to be fixable without a major performance hit," writes Slashdot reader EncryptedSoldier. SecurityWeek reports: A team of researchers representing several universities in the United States has disclosed the details of a new side-channel attack method that can be used to extract secret encryption keys from systems powered by Apple CPUs. The attack method, dubbed GoFetch, has been described as a microarchitectural side-channel attack that allows the extraction of secret keys from constant-time cryptographic implementations. These types of attacks require local access to the targeted system. The attack targets a hardware optimization named data memory-dependent prefetcher (DMP), which attempts to prefetch addresses found in the contents of program memory to improve performance.

The researchers have found a way to use specially crafted cryptographic operation inputs that allow them to infer secret keys, guessing them bits at a time by monitoring the behavior of the DMP. They managed to demonstrate end-to-end key extraction attacks against several crypto implementations, including OpenSSL Diffie-Hellman Key Exchange, Go RSA, and the post-quantum CRYSTALS-Kyber and CRYSTALS-Dilithium. The researchers have conducted successful GoFetch attacks against systems powered by Apple M1 processors, and they have found evidence that the attack could also work against M2 and M3 processors. They have also tested an Intel processor that uses DMP, but found that it's 'more robust' against such attacks.

The experts said Apple is investigating the issue, but fully addressing it does not seem trivial. The researchers have proposed several countermeasures, but they involve hardware changes that are not easy to implement or mitigations that can have a significant impact on performance. Apple told SecurityWeek that it thanks the researchers for their collaboration as this work advances the company's understanding of these types of threats. The tech giant also shared a link to a developer page that outlines one of the mitigations mentioned by the researchers. The researchers have published a paper (PDF) detailing their work.

Ars Technica's Dan Goodin also reported on the vulnerability.

A newly discovered vulnerability baked into Apple's M-series of chips allows attackers to extract secret keys from Macs when they perform widely used cryptographic operations, academic researchers have revealed in a paper published Thursday. From a report: The flaw -- a side channel allowing end-to-end key extractions when Apple chips run implementations of widely used cryptographic protocols -- can't be patched directly because it stems from the microarchitectural design of the silicon itself. Instead, it can only be mitigated by building defenses into third-party cryptographic software that could drastically degrade M-series performance when executing cryptographic operations, particularly on the earlier M1 and M2 generations. The vulnerability can be exploited when the targeted cryptographic operation and the malicious application with normal user system privileges run on the same CPU cluster.

The threat resides in the chips' data memory-dependent prefetcher, a hardware optimization that predicts the memory addresses of data that running code is likely to access in the near future. By loading the contents into the CPU cache before it's actually needed, the DMP, as the feature is abbreviated, reduces latency between the main memory and the CPU, a common bottleneck in modern computing. DMPs are a relatively new phenomenon found only in M-series chips and Intel's 13th-generation Raptor Lake microarchitecture, although older forms of prefetchers have been common for years. Security experts have long known that classical prefetchers open a side channel that malicious processes can probe to obtain secret key material from cryptographic operations. This vulnerability is the result of the prefetchers making predictions based on previous access patterns, which can create changes in state that attackers can exploit to leak information. In response, cryptographic engineers have devised constant-time programming, an approach that ensures that all operations take the same amount of time to complete, regardless of their operands. It does this by keeping code free of secret-dependent memory accesses or structures.

Microsoft has announced two new Surface devices, the Surface Pro 10 for Business and Surface Laptop 6 for Business, both featuring Intel's latest Core Ultra processors, a dedicated Neural Processing Unit (NPU), and a new Copilot key for AI-powered features in Windows 11.

The devices, which will start shipping to commercial customers on April 9th, have been designed exclusively for businesses and will not be sold directly to consumers. The Surface Pro 10 for Business, starting at $1,199, offers a choice between Core Ultra 5 135U and Core Ultra 7 165U options, with up to 64GB of RAM and a 256GB Gen4 SSD. It also features an improved 13-inch display with an antireflective coating and a 1440p front-facing camera with a 114-degree field of view.

The Surface Laptop 6 for Business, also starting at $1,199, is powered by Intel's Core Ultra H-series chips and is available with up to 64GB of RAM and a 1TB Gen4 SSD. The 15-inch model includes two USB-C Thunderbolt 4 ports, while the 13.5-inch model features a single USB-C Thunderbolt 4 port. Both devices have an optional smart card reader and are Microsoft's most easily serviceable Surface devices to date.

Further reading: Microsoft's official blog.

After securing billions in federal grants and loans, Reuters reports that the company is "planning a $100-billion spending spree across four U.S. states" to build and expand its chip manufacturing factories. From the report: The centerpiece of Intel's five-year spending plan is turning empty fields near Columbus, Ohio, into what CEO Pat Gelsinger described to reporters on Tuesday as "the largest AI chip manufacturing site in the world," starting as soon as 2027. Intel's plan will also involve revamping sites in New Mexico and Oregon and expanding operations in Arizona, where longtime rival Taiwan Semiconductor Manufacturing Co is also building a massive factory that it hopes will receive funding from President Joe Biden's push to bring advanced semiconductor manufacturing back to the United States. [...]

Gelsinger said about 30% of the $100-billion plan will be spent on construction costs such as labor, piping and concrete. The remaining will go towards buying chipmaking tools from firms such as ASML, Tokyo Electron, Applied Materials and KLA, among others. Those tools will help bring the Ohio site online by 2027 or 2028, though Gelsinger warned the timeline could slip if the chip market takes a dive. Beyond grants and loans, Intel plans to make most of the purchases from its existing cash flows.

"It will still take three to five years for Intel to become a serious player in the foundry market" for cutting-edge chips, said Kinngai Chan, an analyst at Summit Insights. However, he warned more investment would be needed before Intel could overtake TSMC, adding that the Taiwanese firm could remain the leader for "some time to come." Gelsinger has previously said a second round of U.S. funding for chip factories would likely be needed to re-establish the U.S. as a leader in semiconductor manufacturing, which he reiterated on Tuesday. "It took us three-plus decades to lose this industry. It's not going to come back in three to five years of CHIPS Act" funding, said Gelsinger, who referred to the low-interest-rate funding as "smart capital."

The White House said Wednesday Intel has been awarded up to $8.5 billion in CHIPS Act funding, as the Biden administration ramps up its effort to bring semiconductor manufacturing to U.S. soil. From a report: Intel could receive an additional $11 billion in loans from the CHIPS and Science Act, which was passed in 2022. The awards will be announced by President Joe Biden in Arizona on Wednesday. The money will help "leading-edge semiconductors made in the United States" keep "America in the driver's seat of innovation," U.S. Secretary of Commerce Gina Raimondo said on a call with reporters. Intel and the White House said their agreement is nonbinding and preliminary and could change.

Intel has long been a stalwart of the U.S. semiconductor industry, developing chips that power many of the world's PCs and data center servers. However, the company has been eclipsed in revenue by Nvidia, which leads in artificial intelligence chips, and has been surpassed in market cap by rival AMD and mobile phone chipmaker Qualcomm.

Last month, the only known surviving copy of 32-bit OS/2 from Microsoft was purchased for $650. "Now, two of the internet's experts in getting early PC operating systems running today have managed to fire it up, and you can see the results," reports The Register. From the report: Why such interest in this nearly third-of-a-century old, unreleased OS? Because this is the way the PC industry very nearly went. This SDK came out in June 1990, just one month after Windows 3.0. If 32-bit OS/2 had launched as planned, Windows 3 would have been the last version before it was absorbed into OS/2 and disappeared. There would never have been any 32-bit versions: no Windows NT, no Windows 95; no Explorer, no Start menu or taskbars. That, in turn, might well have killed off Apple as well. No iPod, no iPhone, no fondleslabs. Twenty-first century computers would be unimaginably different. The surprise here is that we can see a glimpse of this world that never happened. The discovery of this pre-release OS shows how very nearly ready it was in 1990. IBM didn't release its solo version until April 1992, the same month as Windows 3.1 -- but now, we can see it was nearly ready two years earlier.

That's why Michal Necasek of the OS/2 Museum called his look The Future That Never Was. He uncovered a couple of significant bugs, but more impressively, he found workarounds for both, and got both features working fine. OS/2 2 could run multiple DOS VMs at once, but in the preview, they wouldn't open -- due to use of an undocumented instruction which Intel did implement in the Pentium MMX and later processors. Secondly, the bundled network client wouldn't install -- but removing a single file got that working fine. That alone is a significant difference between Microsoft's OS/2 2.0 and IBM's version: Big Blue didn't include networking until Warp Connect 3 in 1995.

His verdict: "The 6.78 build of OS/2 2.0 feels surprisingly stable and complete. The cover letter that came with the SDK stressed that Microsoft developers had been using the OS/2 pre-release for day-to-day work." Over at Virtually Fun, Neozeed also took an actual look at Microsoft OS/2 2.0, carefully recreating that screenshot from PC Magazine in May 1990. He even managed to get some Windows 2 programs running, although this preview release did not yet have a Windows subsystem. On his Internet Archive page, he has disk images and downloadable virtual machines so that you can run this yourself under VMware or 86Box.

According to Bloomberg (paywalled), the Pentagon has reportedly scrapped its plan to allocate $2.5 billion in grants to Intel, causing the firm's stock to slip in extended-hours trading. From a report: The decision now leaves the U.S. Commerce Department, which is responsible for doling out the funds from the U.S. CHIPs and Science Act, to make up the shortfall, the news outlet said. The Commerce Dept. was initially only supposed to cover $1B of the $3.5B that Intel is slated to receive for advanced defense and intelligence-related semiconductors. The deal is slated to position Intel as the dedicated supplier for processors used for military and intelligence applications and could result in a Secure Enclave inside Intel's chip factory, the news outlet said. With the Pentagon reportedly pulling out, it could alter how much Intel and other companies receive from the CHIPs Act, the news outlet said.

An anonymous reader shares a report: If you're confused about what makes a PC an "AI PC," you're not alone. But finally have something of an answer: if it packs a GPU, a processor that boasts a neural processing unit and can handle VNNI and Dp4a instructions, it qualifies -- at least according to Robert Hallock, Intel's senior director of technical marketing. As luck would have it, that combo is present in Intel's current-generation desktop processors -- 14th-gen Core, aka Core Ultra, aka "Meteor Lake." All models feature a GPU, NPU, and can handle Vector Neural Network Instructions (VNNI) that speed some -- surprise! -- neural networking tasks, and the DP4a instructions that help GPUs to process video.

Because AI PCs are therefore just PCs with current processors, Intel doesn't consider "AI PC" to be a brand that denotes conformity with a spec or a particular capability not present in other PCs. Intel used the "Centrino" brand to distinguish Wi-Fi-enabled PCs, and did likewise by giving home entertainment PCs the "Viiv" moniker. Chipzilla still uses the tactic with "vPro" -- a brand that denotes processors that include manageability and security for business users. But AI PCs are neither a brand nor a spec. "The reason we have not created a category for it like Centrino is we believe this is simply what a PC will be like in four or five years time," Hallock told The Register, adding that Intel's recipe for an AI PC doesn't include specific requirements for memory, storage, or I/O speeds. "There are cases where a very large LLM might require 32GB of RAM," he noted. "Everything else will fit comfortably in a 16GB system."

An anonymous reader shares a report: Nvidia CEO Jensen Huang recently took to the stage to claim that Nvidia's GPUs are "so good that even when the competitor's chips are free, it's not cheap enough." Huang further explained that Nvidia GPU pricing isn't really significant in terms of an AI data center's total cost of ownership (TCO). The impressive scale of Nvidia's achievements in powering the booming AI industry is hard to deny; the company recently became the world's third most valuable company thanks largely to its AI-accelerating GPUs, but Jensen's comments are sure to be controversial as he dismisses a whole constellation of competitors, such as AMD, Intel and a range of competitors with ASICs and other types of custom AI silicon.

Starting at 22:32 of the YouTube recording, John Shoven, Former Trione Director of SIEPR and the Charles R. Schwab Professor Emeritus of Economics, Stanford University, asks, "You make completely state-of-the-art chips. Is it possible that you'll face competition that claims to be good enough -- not as good as Nvidia -- but good enough and much cheaper? Is that a threat?" Jensen Huang begins his response by unpacking his tiny violin. "We have more competition than anyone on the planet," claimed the CEO. He told Shoven that even Nvidia's customers are its competitors, in some cases. Also, Huang pointed out that Nvidia actively helps customers who are designing alternative AI processors and goes as far as revealing to them what upcoming Nvidia chips are on the roadmap.

A new report warns that a boom in computer chip manufacturing in the US could fuel demand for dirty energy, despite companies' environmental claims. The solution for manufacturers, surprisingly, might be to act more like other big tech companies chasing climate goals. From a report: New semiconductor factories being built in the US by four of the biggest manufacturers -- Intel, TSMC, Samsung, and Micron -- could use more than twice as much electricity as the city of Seattle once they're operational. These companies claim to run on renewable energy, but according to an analysis by nonprofit Stand.earth, that's not entirely true. Semiconductors happen to make up a big chunk of a device's carbon footprint. And unless companies turn to clean energy, they could wind up driving up greenhouse gas emissions as domestic chip manufacturing makes a comeback.

The CHIPS and Science Act, which passed in 2022, set aside $52.7 billion in funding for domestic chip manufacturing. Now, the four companies scrutinized in the report have plans to build megafactories in Arizona, Ohio, Oregon, Idaho, Texas, and New York. Each of those megafactories alone could use as much electricity as a medium-sized town, according to the report. Cumulatively, nine facilities could eventually add 2.1 gigawatts in new electricity demand. "We're not slowing down on any of our sustainability commitments, even with our recently announced investments," Intel said in an email.

In 2005 Gabe Rivera was a compiler software engineer at Intel — before starting the tech-news aggregator Techmeme. And last year his Threads profile added the words "This is a little self-serving, but I want all social networks to be as open as possible."

Friday Threads engineer Jesse Chen posted that it was Rivera's post when Threads launched asking for an API that "convinced us to go for it." And Techmeme just made its first post using the API, according to Chen. The Verge reports : Threads plans to release its API by the end of June after testing it with a limited set of partners, including Hootsuite, Sprinklr, Sprout Social, Social News Desk, and Techmeme. The API will let developers build third-party apps for Threads and allow sites to publish directly to the platform.
More from TechCrunch: Engineer Jesse Chen posted that the company has been building the API for the past few months. The API currently allows users to authenticate, publish threads and fetch the content they post through these tools. "Over the past few months, we've been building the Threads API to enable creators, developers, and brands to manage their Threads presence at scale and easily share fresh, new ideas with their communities from their favorite third-party applications," he said...

The engineer added that Threads is looking to add more capabilities to APIs for moderation and insights gathering.

The desert planet Arrakis in Frank Herbert's science fiction novel Dune is plausible, says Alexander Farnsworth, a climate modeler at the University of Bristol in England. According to Science News, the world would be a harsh place for humans to live, and they probably wouldn't have to worry about getting eaten by extraterrestrial helminths. From the report: For their Arrakis climate simulation, which you can explore at the website Climate Archive, Farnsworth and colleagues started with the well-known physics that drive weather and climate on Earth. Using our planet as a starting point makes sense, Farnsworth says, partly because Herbert drew inspiration for Arrakis from "some sort of semi-science of looking at dune systems on the Earth itself." The team then added nuggets of information about the planet from details in Herbert's novels and in the Dune Encyclopedia. According to that intel, the fictional planet's atmosphere is similar to Earth's with a couple of notable differences. Arrakis has less carbon dioxide in the atmosphere than Earth -- about 350 parts per million on the desert planet compared with 417 parts per million on Earth. But Dune has far more ozone in its lower atmosphere: 0.5 percent of the gases in the atmosphere compared to Earth's 0.000001 percent.

All that extra ozone is crucial for understanding the planet. Ozone is a powerful greenhouse gas, about 65 times as potent at warming the atmosphere as carbon dioxide is, when measured over a 20-year period. "Arrakis would certainly have a much warmer atmosphere, even though it has less CO2 than Earth today," Farnsworth says. In addition to warming the planet, so much ozone in the lower atmosphere could be bad news. "For humans, that would be incredibly toxic, I think, almost fatal if you were to live under such conditions," Farnsworth says. People on Arrakis would probably have to rely on technology to scrub ozone from the air. Of course, ozone in the upper atmosphere could help shield Arrakis from harmful radiation from its star, Canopus. (Canopus is a real star also known as Alpha Carinae. It's visible in the Southern Hemisphere and is the second brightest star in the sky. Unfortunately for Dune fans, it isn't known to have planets.) If Arrakis were real, it would be located about as far from Canopus as Pluto is from the sun, Farnsworth says. But Canopus is a large white star calculated to be about 7,200 degrees Celsius. "That's significantly hotter than the sun," which runs about 2,000 degrees cooler, Farnsworth says. But "there's a lot of supposition and assumptions they made in here, and whether those are accurate numbers or not, I can't say."

The climate simulation revealed that Arrakis probably wouldn't be exactly as Herbert described it. For instance, in one throwaway line, the author described polar ice caps receding in the summer heat. But Farnsworth and colleagues say it would be far too hot at the poles, about 70Â C during the summer, for ice caps to exist at all. Plus, there would be too little precipitation to replenish the ice in the winter. High clouds and other processes would warm the atmosphere at the poles and keep it warmer than lower latitudes, especially in the summertime. Although Herbert's novels have people living in the midlatitudes and close to the poles, the extreme summer heat and bone-chilling -40C to -75C temperatures in the winters would make those regions nearly unlivable without technology, Farnsworth says. Temperatures in Arrakis' tropical latitudes would be relatively more pleasant at 45C in the warmest months and about 15C in colder months. On Earth, high humidity in the tropics makes it far warmer than at the poles. But on Arrakis, "most of the atmospheric moisture was essentially removed from the tropics," making even the scorching summers more tolerable. The poles are where clouds and the paltry amount of moisture gather and heat the atmosphere. But the tropics on Arrakis pose their own challenges. Hurricane force winds would regularly sandblast inhabitants and build dunes up to 250 meters tall, the researchers calculate. It doesn't mean people couldn't live on Arrakis, just that they'd need technology and lots of off-world support to bring in food and water, Farnsworth says. "I'd say it's a very livable world, just a very inhospitable world."

Microsoft has outlined a new Windows API designed to offer a seamless way for game developers to integrate super resolution AI-upscaling features from Nvidia, AMD, and Intel. From a report: In a new blog post, program manager Joshua Tucker describes Microsoft's new DirectSR API as the "missing link" between games and super resolution technologies, and says it should provide "a smoother, more efficient experience that scales across hardware."

"This API enables multi-vendor SR [super resolution] through a common set of inputs and outputs, allowing a single code path to activate a variety of solutions including Nvidia DLSS Super Resolution, AMD FidelityFX Super Resolution, and Intel XeSS," the post reads. The pitch seems to be that developers will be able to support this DirectSR API, rather than having to write code for each and every upscaling technology.

The blog post comes a couple of weeks after an "Automatic Super Resolution" feature was spotted in a test version of Windows 11, which promised to "use AI to make supported games play more smoothly with enhanced details." Now, it seems the feature will plug into existing super resolution technologies like DLSS, FSR, and XeSS rather than offering a Windows-level alternative.

Intel's previously-unannounced Intel 10A (analogous to 1nm) will enter production/development in late 2027, marking the arrival of the company's first 1nm node, and its 14A (1.4nm) node will enter production in 2026. The company is also working to create fully autonomous AI-powered fabs in the future. Tom's Hardware: Intel's Keyvan Esfarjani, the company's EVP and GM and Foundry Manufacturing and Supply, held a very insightful session that covered the company's latest developments and showed how the roadmap unfolds over the coming years. Here, we can see two charts, with the first outlining the company's K-WSPW (thousands of wafer starts per week) capacity for Intel's various process nodes. Notably, capacity typically indicates how many wafers can be started, but not the total output -- output varies based on yields. You'll notice there isn't a label for the Y-axis, which would give us a direct read on Intel's production volumes. However, this does give us a solid idea of the proportionality of Intel's planned node production over the next several years.

Intel did not specify the arrival date of its coming 14A node in its previous announcements, but here, the company indicates it will begin production of the Intel 14A node in 2026. Even more importantly, Intel will begin production/development of its as-yet-unannounced 10A node in late 2027, filling out its roster of nodes produced with EUV technology. Intel's 'A' suffix in its node naming convention represents Angstroms, and 10 Angstroms converts to 1nm, meaning this is the company's first 1nm-class node. Intel hasn't shared any details about the 10A/1nm node but has told us that it classifies a new node as at least having a double-digit power/performance improvement. Intel CEO Pat Gelsinger has told us the cutoff for a new node is around a 14% to 15% improvement, so we can expect that 10A will have at least that level of improvement over the 14A node. (For example, the difference between Intel 7 and Intel 4 was a 15% improvement.)

OpenAI, Microsoft, Nvidia, and Jeff Bezos are all part of a pack of investors in a business "developing human-like robots," reports Bloomberg, "according to people with knowledge of the situation..."

At the startup — which is named "Figure" — engineers "are working on a robot that looks and moves like a human. The company has said it hopes its machine, called Figure 01, will be able to perform dangerous jobs that are unsuitable for people and that its technology will help alleviate labor shortages." Figure is raising about $675 million in a funding round that carries a pre-money valuation of roughly $2 billion, said the people, who asked not to be identified because the matter is private. Through his firm Explore Investments LLC, Bezos has committed $100 million. Microsoft is investing $95 million, while Nvidia and an Amazon.com Inc.-affiliated fund are each providing $50 million... Other technology companies are involved as well. Intel Corp.'s venture capital arm is pouring in $25 million, and LG Innotek is providing $8.5 million. Samsung's investment group, meanwhile, committed $5 million. Backers also include venture firms Parkway Venture Capital, which is investing $100 million, and Align Ventures, which is providing $90 million...

The AI robotics industry has been busy lately. Earlier this year, OpenAI-backed Norwegian robotics startup 1X Technologies AS raised $100 million. Vancouver-based Sanctuary AI is developing a humanoid robot called Phoenix. And Tesla Inc. is working on a robot called Optimus, with Elon Musk calling it one of his most important projects. Agility Robotics, which Amazon backed in 2022, has bots in testing at one of the retailer's warehouses. Bloomberg calls the investments in Figure "part of a scramble to find new applications for artificial intelligence."

Intel has landed Microsoft as a customer for its made-to-order chip business, marking a key win for an ambitious turnaround effort under Chief Executive Officer Pat Gelsinger. From a report: Microsoft plans to use Intel's 18A manufacturing technology to make a forthcoming chip that the software maker designed in-house, the two companies said at an event Wednesday. They didn't identify the product, but Microsoft recently announced plans for two homegrown chips: a computer processor and an artificial intelligence accelerator.

Intel has been seeking to prove it can compete in the foundry market, where companies produce custom chips for clients. It's a major shift for the semiconductor pioneer, which once had the world's most advanced chipmaking facilities and kept them to itself. These days, Intel is racing to catch up with companies like Taiwan Semiconductor Manufacturing Co., which leads the foundry industry. Microsoft, meanwhile, is looking to secure a steady supply of semiconductors to power its data-center operations -- especially as demand for AI grows. Designing its own chips also lets Microsoft fine-tune the products to its specific needs. "We need a reliable supply of the most advanced, high-performance and high-quality semiconductors," Microsoft CEO Satya Nadella said in a statement. âoeThat's why we are so excited to work with Intel."

An anonymous reader shared this report from PCWorld: The Standard Performance Evaluation Corporation, better known as SPEC, has invalidated over 2600 of its own results testing Xeon processors in the 2022 and 2023 version of its popular industrial SPEC CPU 2017 test. After investigating, SPEC found that Intel had used compilers that were, quote, "performing a compilation that specifically improves the performance of the 523.xalancbmk_r / 623.xalancbmk_s benchmarks using a priori knowledge of the SPEC code and dataset to perform a transformation that has narrow applicability."

In layman's terms, SPEC is accusing Intel of optimizing the compiler specifically for its benchmark, which means the results weren't indicative of how end users could expect to see performance in the real world. Intel's custom compiler might have been inflating the relevant results of the SPEC test by up to 9%...

Slightly newer versions of the compilers used in the latest industrial Xeon processors, the 5th-gen Emerald Rapids series, do not use these allegedly performance-enhancing APIs. I'll point out that both the Xeon processors and the SPEC 2017 test are some high-level hardware meant for "big iron" industrial and educational applications, and aren't especially relevant for the consumer market we typically cover.
More info at ServeTheHome, Phoronix, and Tom's Hardware.