Phoronix reports on Valve's "Steam Survey" results for December 2024, saying the new numbers "reflect a nice upward trend for the Linux gaming statistics and a high point in recent times." In November the Steam Survey reflected a 2.03% marketshare for Linux... Roughly inline with what we have been seeing for Linux right at around the 2% threshold. With the just-published December survey numbers, there is a 0.29% increase to 2.29%...! When looking at the Linux numbers, SteamOS Holo accounts for around 36% of all Linux gamers... SteamOS Holo being the operating system of the Steam Deck and beginning to appear on other devices as well... Driven in large part by the Steam Deck relying on a custom AMD SoC/APU and AMD being popular with Linux gamers/enthusiasts for their open-source driver support, AMD CPU use on Linux commands a 73.6% marketshare.
In fact, December "saw AMD reach another record-high share among participants of Valve's survey," according to TechSpot — "up 3.02% last month, taking its total to 38.7% as Intel fell slightly to 63.4%..." Elsewhere, Windows 11 is now comfortably the most popular OS in the survey. It pulled ahead another 2% to an almost 55% share in December as Windows 10 dropped to 42.3%... However, it's a different story when looking at global users: Windows 10's share has increased two months in a row to 62.7% while Windows 11 has declined to 34.1%. Rounding up the rest of the survey, 16GB of RAM remains the most popular amount of system RAM but it's lead is declining as second-place 32GB grows; a trend that is mirrored in the VRAM category...
Phoronix adds that the Windows percent "pulled back by 0.51% to 96.1% while Apple macOS also gained 0.22% going up to a 1.61% marketshare."

Earlier this year, Russia President Vladimir Putin called on the government to develop its own domestically produced gaming consoles with proprietary operating systems and cloud-based platforms. "With Russia heavily sanctioned and looking to promote its own products, one of its in-development consoles is powered by the Elbrus processor," notes TechSpot. However, the processor is "designed primarily for domestic applications in critical infrastructure, defense, and other sensitive areas" and "can't match high-end CPUs from Intel, AMD, and Arm." From the report: The Russian government admits that this device isn't going to be on the same level as current-gen machines. "I hope my colleagues will approach this task with full responsibility and come up with something truly groundbreaking," said Anton Gorelkin, Deputy Chairman of the State Duma Committee on Information Policy. "It is obvious to everyone: Elbrus processors are not yet at the level required to compete equally with the PS5 and Xbox, which means the solution must be unconventional." Gorelkin said that Russian consoles aren't being designed only to play ports of hundreds of old, less-demanding games. He added that they should primarily serve the purpose of promoting and popularizing domestic video game products.

Another organization following Putin's instructions is Russian telecommunications firm MTS. Its console (above) will use the company's cloud-based gaming platform, called Fog Play. It allows owners of high-end PCs to rent out their computing power to those with less-powerful equipment, charging an hourly price. Those with more powerful PCs can access games on the service and use their own hardware to play them. MTS' device is expected to cost no more than $45 and come with an Xbox-like controller, suggesting it's unlikely to appeal to those who enjoy current-gen console games.

"I still can't quite believe that I'm using an Arm-powered Windows laptop every day," writes a senior editor at the Verge: After more than a decade of trying to make Windows on Arm a reality, Microsoft and Qualcomm finally nailed it this year with Copilot Plus PCs. These new laptops have excellent battery life and great performance — and the app compatibility issues that have plagued Windows on Arm are mostly a thing of the past (as long as you're not a gamer). Microsoft wanted 2024 to be "the year of the AI PC," but I think it was very much the year of Windows on Arm...

The key to Windows on Arm's revival this year was Qualcomm's Snapdragon X Elite processors, which were announced in April. They've provided the type of performance and power efficiency only previously available with Apple's MacBooks and challenged Intel and AMD to do better in the x86 space. After much debate over Microsoft's MacBook Air-beating benchmarks, the reviews rolled in and showed that Windows on Arm was indeed capable of matching and beating Apple's MacBook Air. Qualcomm even hired the "I'm a Mac" guy to promote Windows on Arm PCs, showing how confident it was in challenging Apple's laptop dominance.

Microsoft and Qualcomm also worked closely with developers to make key apps compatible, and it's now very rare to run into an app compatibility issue that can't be solved by a native Arm64 version or Microsoft's improved emulator. Even Google, which previously shunned Windows Phone, has created Arm64 versions of Chrome and Google Drive to support Microsoft's efforts. With developers continually providing native versions of their apps, it makes it a lot easier to switch to a Windows on Arm laptop. The only big exception is gaming, where x86 still reigns supreme for compatibility and performance...

It's hard not to see 2025 as the year that Windows on Arm continues to eat into the laptop space. A Dell leak revealed Qualcomm is preparing new chips for 2025, and the chip maker has also been rolling out cheaper Arm-based chips to bring laptop prices down.
The article acknowledges that both AMD and Intel "have the key advantage of game compatibility that Windows on Arm is definitely not ready for..." But "Given the Windows on Arm gaming situation, a new generation of Nvidia's GPUs could help generate fresh excitement around x86 laptops throughout 2025." And "Nvidia might also be planning to help the Windows on Arm effort. The chip maker has long been rumored to be planning to launch Arm PC chips as soon as 2025... Whatever happens to laptops in 2025, you can guarantee that there's going to be fierce competition between Intel, AMD, and Qualcomm."

But the author still complains about the dedicated Copilot key on his new WIndows-on-Arm laptop. "While the Copilot experience on Windows has gone through several confusing revisions, it's still a key I accidentally press and then get frustrated when a Copilot window appears."

They provide training data to top AI companies including OpenAI and Meta, according to its web site. Founded in 2016, San Francisco-based Scale AI now has over 900 employees, eventually growing beyond "unicorn" status with over $1.35 billion in ivnestments. In May the company's valuation was over $14 billion, with investors including Amazon, Meta, Nvidia, Cisco, Intel, and AMD (as well as earlier investments from Y Combinator and $100 million from Peter Thiel's Founders Fund). SFGate calls them "a buzzy San Francisco startup with high-dollar ties across the tech industry".

But SFGate also report Scale AI "was sued Tuesday by a former worker with allegations that the company is committing wage theft and misclassifying workers." Steve McKinney filed the suit against Scale and several top executives, including 27-year-old billionaire CEO Alexandr Wang, in San Francisco Superior Court. With the filing, the former contractor aims to be a lead plaintiff for a class-action lawsuit against Scale; a judge will need to certify his proposed class of current and former contractors within California...

McKinney, whose complaint says he was paid on an hourly basis and worked on a project eventually sold to Meta, is accusing Scale of amassing its clout and cash by exploiting workers. "Scale AI is the sordid underbelly propping up the generative AI industry," the complaint says, before rattling off a list of allegations about its treatment of contractors. The document accuses Scale of bait-and-switch hiring promises; demanding off-the-clock, unpaid work; denying overtime pay; and unfairly booting contractors from projects...

The Tuesday complaint calls Scale's control over its contractors "Orwellian." The company makes contractors download a tool to track much of their computer use, including by taking periodic screenshots, the suit alleges. The lawsuit also alleges that Scale reassigns the workers to varyingly paid projects and docks pay if a task takes more than it was supposed to, plus posits that Scale is in violation of California's "ABC" test, which monitors use of the designation "independent contractor." It argues that contracted "Taskers" like McKinney should be classified as employees instead...

The complaint, along with arguing for class-action certification, seeks restitution, punitive damages and changes to Scale's worker classification model.
The article adds that "Per Fortune, Scale's armies of contractors marked up images for Cruise and Waymo to help autonomous cars understand their surroundings..."

HDMI Forum will announce new specifications with increased bandwidth capabilities at CES 2025, ahead of anticipated graphics card launches from AMD and NVIDIA. The announcement, scheduled for January 6, is expected to introduce HDMI 2.2 standard alongside a new cable supporting higher resolutions and refresh rates.

Current HDMI 2.1 specification maxes out at 48 Gbps bandwidth, allowing 10K resolution at 120 Hz with compression. The upgrade aims to compete with DisplayPort 2.1, which offers up to 80 Gbps bandwidth and is already supported by recent AMD and Intel GPUs.

The Verge thinks Valve "could make a play to dethrone the Sony PlayStation and Microsoft." And it's not just because there's lots of new SteamOS hardware on the way (including a wireless VR headset and a pair of trackable wands, a Steam Controller 2 gamepad, and a living room console.

"Valve has also now seemingly revealed plans for partners to create third-party SteamOS hardware too." It won't be easy to take on Sony, Microsoft, or Meta. Those companies have a lot to lose, and they're deeply entrenched. But the Steam Deck has revealed a massive weakness in each of their businesses that may take them years to correct — the desire to play a huge library of games anytime, anywhere. And while they figure that out, Valve may be building an entire new ecosystem of SteamOS hardware, one that could finally let PC and peripheral makers tap into the huge and growing library of Windows games on all sorts of different hardware without relying on Microsoft or subjecting their customers to the many annoyances of Windows...

Valve has long said it will open up SteamOS to other manufacturers, even recently committing to some direct support for rival handhelds like the Asus ROG Ally — and the other week, Valve quietly updated a document that may reveal its larger overarching strategy. It won't just leave SteamOS sitting around and hope manufacturers build something — it'll hold their hand. Valve now has an explicit label for third parties to create "Powered by SteamOS" devices, which it explicitly defines as "hardware running the SteamOS operating system, implemented in close collaboration with Valve." It additionally lets companies create "Steam Compatible" hardware that ships with "Valve approved controller inputs," as well as SteamVR hardware and Steam Link hardware that lets you stream games from one device to another...

When Valve asked PC manufacturers to sign onto its Steam Machines initiative over a decade ago, with the idea of building living room PC consoles, it asked for a leap of faith with very little to show and a tiny chance of success. It took years for Valve to even build the oddball living room controller for its Steam Machines, and it didn't get far in convincing Windows game developers to port their games to Linux. But by the time it announced the Steam Deck, Valve had hammered out a Proton software compatibility layer so good that many Windows games now run better on Linux, and created the most customizable yet familiar set of controls ever made. If manufacturers could build their own Steam Machines rather than equivalent Windows machines, they could offer better gaming products than they do today. Maybe they'd even want to release a VR headset that isn't tied to Microsoft or Meta if it doubled as a Steam Deck, portably playing decades of flatscreen games.

It's not clear any of this will pan out; Valve is an exceedingly small company that tries not to chase too many things at a time. When I speak to PC industry executives about why they pick Windows over SteamOS, some say they're concerned about whether Valve would truly be able to support them. But it's just as intriguing an idea as it was 12 years ago when Gabe Newell explained the initial vision to us, and this time, there's a far better chance it'll work.
"Today, every major PC company is building one or more Steam Deck rivals," the article points out. "But without Valve's blessing and support, they're saddled with a Windows OS that doesn't start, pause, and resume games quickly and seamlessly enough to feel portable and easy..."

An anonymous reader shared this report from Phoronix: New Linux patches from Huawei engineers are preparing new driver support for controlling High Bandwidth Memory (HBM) with the ARM-based Kunpeng high performance SoC...

[I]t would appear there is a new Kunpeng SoC coming that will feature integrated High Bandwidth Memory (HBM).Unless I missed something, this Kunpeng SoC with HBM memory hasn't been formally announced yet and I haven't been able to find any other references short of pointing to prior kernel patches working on this HBM integration... It will be interesting to see what comes of Huawei Kunpeng SoCs with HBM memory and ultimately how well they perform against other AArch64 server processors as well as the Intel Xeon and AMD EPYC competition.

Lawrence Livermore National Laboratory's "El Capitan" supercomputer is now ranked as the world's most powerful, exceeding a High-Performance Linpack (HPL) score of 1.742 exaflops on the latest Top500 list. Engadget reports: El Capitan is only the third "exascale" computer, meaning it can perform more than a quintillion calculations in a second. The other two, called Frontier and Aurora, claim the second and third place slots on the TOP500 now. Unsurprisingly, all of these massive machines live within government research facilities: El Capitan is housed at Lawrence Livermore National Laboratory; Frontier is at Oak Ridge National Laboratory; Argonne National Laboratory claims Aurora. [Cray Computing] had a hand in all three systems.

El Capitan has more than 11 million combined CPU and GPU cores based on AMD 4th-gen EPYC processors. These 24-core processors are rated at 1.8GHz each and have AMD Instinct M1300A APUs. It's also relatively efficient, as such systems go, squeezing out an estimated 58.89 Gigaflops per watt. If you're wondering what El Capitan is built for, the answer is addressing nuclear stockpile safety, but it can also be used for nuclear counterterrorism.

Slashdot unixbhaskar writes: Linus has released a fresh Linux kernel for public consumption. Please give it a try and report any glitches to the maintainers for improvement. Also, please do not forget to express your appreciation to those tireless folks who did all the hard work for you.
The blog OMG Ubuntu calls it "one of the most biggest kernel releases for a while," joking that it's a "really real-time kernel." The headline feature in Linux 6.12 is mainline support for PREEMPT_RT. This patch set dramatically improves the performance of real-time applications by making kernel processes pre-emptible — effectively enabled proper real-time computing... Meanwhile, Linus Torvalds himself contributes a new method for user-space address masking designed to claw back some of the performance lost due to Spectre-v1 mitigations.

You might have heard that kernel devs have been working to add QR error codes to Linux's kernel panic BSOD screen (as a waterfall of error text is often cut off and not easily copied for ad-hoc debugging). Well, Linux 6.12 adds support for those during Direct Rendering Manager panics...

A slew of new RISC-V CPU ISA extensions are supported in Linux 6.12; hybrid CPU scaling in the Intel P-State driver lands ahead of upcoming Intel Core Ultra 2000 chips; and AMD P-State driver improves AMD Boost and AMD Preferred Core features.
More coverage from the blog 9to5Linux highlights a new scheduler called sched_ext, Clang support (including LTO) for nolibc, support for NVIDIA's virtual command queue implementation for SMMUv3, and "an updated cpuidle tool that now displays the residency value of cpuidle states for a clearer and more detailed view of idle state information when using cpuidle-info." Linux kernel 6.12 also introduces SWIG bindings for libcpupower to make it easier for developers to write scripts that use and extend the functionality of libcpupower, support for translating normalized error addresses reported by an AMD memory controller into system physical addresses using a UEFI mechanism called platform runtime mechanism (PRM), as well as simplified loading of microcode patches on AMD Zen and newer CPUs by using the family, model, and stepping encoded in the patch revision number...

Moreover, Linux 6.12 adds support for running as a protected guest on Android as well as perf and support for a bunch of new interconnect PMUs. It also adds the final conversions to the new Intel VFM CPU model matching macros, rewrites the PCM buffer allocation handling and locking optimizations, and improves the USB audio driver...

French private AI lab PleIAs "is committed to training LLMs in the open," they write in a blog post at Mozilla.org. "This means not only releasing our models but also being open about every aspect, from the training data to the training code. We define 'open' strictly: all data must be both accessible and under permissive licenses."

Wednesday PleIAs announced they were releasing the largest open multilingual pretraining dataset, according to their blog post at HuggingFace: Many have claimed that training large language models requires copyrighted data, making truly open AI development impossible. Today, Pleias is proving otherwise with the release of Common Corpus (part of the AI Alliance Open Trusted Data Initiative) — the largest fully open multilingual dataset for training LLMs, containing over 2 trillion tokens of permissibly licensed content with provenance information (2,003,039,184,047 tokens).

As developers are responding to pressures from new regulations like the EU AI Act, Common Corpus goes beyond compliance by making our entire permissibly licensed dataset freely available on HuggingFace, with detailed documentation of every data source. We have taken extensive steps to ensure that the dataset is high-quality and is curated to train powerful models. Through this release, we are demonstrating that there doesn't have to be such a [heavy] trade-off between openness and performance.

Common Corpus is:

— Truly Open: contains only data that is permissively licensed and provenance is documented

— Multilingual: mostly representing English and French data, but contains at least 1B tokens for over 30 languages

— Diverse: consisting of scientific articles, government and legal documents, code, and cultural heritage data, including books and newspapers

— Extensively Curated: spelling and formatting has been corrected from digitized texts, harmful and toxic content has been removed, and content with low educational content has also been removed.


Common corpus builds on a growing ecosystem of large, open datasets, such as Dolma, FineWeb, RefinedWeb. The Common Pile currently in preparation under the coordination of Eleuther is built around the same principle of using permissible content in English language and, unsurprisingly, there were many opportunities for collaborations and shared efforts. But even together, these datasets do not provide enough training data for models much larger than a few billion parameters. So in order to expand the options for open model training, we still need more open data...

Based on an analysis of 1 million user interactions with ChatGPT, the plurality of user requests are for creative compositions... The kind of content we actually need — like creative writing — is usually tied up in copyright restrictions. Common Corpus tackles these challenges through five carefully curated collections...
Last week AMD also released its first series of fully open 1 billion parameter language models, AMD OLMo.

And last month VentureBeat reported that the non-profit Allen Institute for AI had unveiled Molmo, "an open-source family of state-of-the-art multimodal AI models which outpeform top proprietary rivals including OpenAI's GPT-4o, Anthropic's Claude 3.5 Sonnet, and Google's Gemini 1.5 on several third-party benchmarks."

AMD has announced plans to cut 4% of its global workforce as it repositions to compete in the AI chip market dominated by Nvidia. The layoffs will affect approximately 1,040 employees of its 26,000-strong workforce reported at the end of 2023. CNBC adds: AMD produces powerful AI accelerators for data centers, including the MI300X, which companies such as Meta and Microsoft purchase as an alternative to Nvidia-based systems. But Nvidia dominates the market for powerful AI chips, with over 80% market share, partially because it developed the core software that AI engineers use to develop programs such as OpenAI's ChatGPT.

Red Hat, the IBM-owned open source software firm, is acquiring Neural Magic, a startup that optimizes AI models to run faster on commodity processors and GPUs. From a report: The terms of the deal weren't disclosed. MIT research scientist Alex Matveev and professor Nir Shavit founded Somerville, Massachusetts-based Neural Magic in 2018, inspired by their work in high-performance execution engines for AI. Neural Magic's software aims to process AI workloads on processors and GPUs at speeds equivalent to specialized AI chips (e.g. TPUs). By running models on off-the-shelf processors, which usually have more available memory, the company's software can realize these performance gains.

Big tech companies like AMD and a host of other startups, including NeuReality, Deci, CoCoPie, OctoML and DeepCube, offer some sort of AI optimization software. But Neural Magic is one of the few with a free platform and a collection of open source tools to complement it. Neural Magic had so far managed to raise $50 million in venture capital from backers like Andreessen Horowitz, New Enterprise Associations, Amdocs, Comcast Ventures, Pillar VC and Ridgeline Ventures.

An anonymous reader shares a report: AMD has gained a substantial 5.7 percentage points of share of the desktop x86 CPU market in the third quarter compared to Q2, the largest quarterly share gain since we began tracking the market share reports in 2016. It also represents an incredible ten percentage point improvement over the prior year. AMD also raked in a strong increase in revenue share, jumping 8.5 percentage points over the prior quarter, indicating that it is selling a strong mix of higher-end CPU models.

During the quarter, AMD launched its new Ryzen 9000-series family of processors amid a scandal related to stability issues with Intel's Raptor Lake chips, which generated a flood of negative press for the company over the course of several months, and inventory adjustments for one of Intel's customers. AMD now commands 28.7% of the desktop processor market. AMD also continued to gain share in the laptop and server markets, though its gains on the desktop side of the business were the most impressive, according to Mercury Research.

"AMD's Ryzen 7 9800X3D debuts with impressive performance gains, powered by advanced 3D V-Cache technology and improved thermal efficiency," writes Slashdot reader jjslash. "While the CPU shines as a top choice right out of the gate, AMD's history of quick price cuts suggests waiting could yield even better value for savvy buyers." TechSpot reports: Today we're finally able to show you how AMD's new Ryzen 7 9800X3D performs, and spoiler alert -- it's a real weapon that solves the issues we encountered with the non-3D Zen 5 chips before this. Without question, this is the best CPU released since the 7800X3D, making this launch particularly exciting. [...] For now, the 9800X3D is mighty impressive, the undisputed king of gaming, and it marks a historic milestone. We don't think AMD has ever been this dominant over Intel, certainly not in the last 15 years.

AMD has surpassed Intel in datacenter processor sales for the first time in history, marking a dramatic shift in the server chip market. AMD's datacenter revenue hit $3.549 billion in Q3, edging out Intel's $3.3 billion, according to SemiAnalysis.

The milestone ends Intel's decades-long dominance in server processors, where it held over 90% market share until recent years. AMD's EPYC processors now power many high-end servers, commanding premium prices despite selling at lower costs than comparable Intel chips.

This week's Ubuntu Summit 2024 was attended by Lproven (Slashdot reader #6,030). He's also a FOSS correspondent for the Register, where he's filed this report: One of the first full-length sessions was presented by David Morin, executive director of the Academy Software Foundation, introducing his organization in a talk about Open Source Software for Motion Pictures. Morin linked to the Visual Effects Society's VFX/Animation Studio Workstation Linux Report, highlighting the market share pie-chart, showing Rocky Linux 9 with at some 58 percent and the RHELatives in general at 90 percent of the market. Ubuntu 22 and 24 — the report's nomenclature, not this vulture's — got just 10.5 percent. We certainly didn't expect to see that at an Ubuntu event, with the latest two versions of Rocky Linux taking 80 percent of the studio workstation market...

What also struck us over the next three quarters of an hour is that Linux and open source in general seem to be huge components of the movie special effects industry — to an extent that we had not previously realized.
There's a "sizzle reel" showing examples of how major motion pictures used OpenColorIO, an open-source production tool for syncing color representations originally developed by Sony Pictures Imageworks. That tool is hosted by a collaboration between the Linux Foundation with the Science and Technology Council of the Academy of Motion Picture Arts and Sciences (the "Academy" of the Academy Awards). The collaboration — which goes by the name of the Academy Software Foundation — hosts 14 different projects The ASWF hasn't been around all that long — it was only founded in 2018. Despite the impact of the COVID pandemic, by 2022 it had achieved enough to fill a 45-page history called Open Source in Entertainment [PDF]. Morin told the crowd that it runs events, provides project marketing and infrastructure, as well as funding, training and education, and legal assistance. It tries to facilitate industry standards and does open source evangelism in the industry. An impressive list of members — with 17 Premier companies, 16 General ones, and another half a dozen Associate members — shows where some of the money comes from. It's a big list of big names. [Adobe, AMD, AWS, Autodesk...]
The presentation started with OpenVBD, a C++ library developed and donated by Dreamworks for working with three-dimensional voxel-based shapes. (In 2020 they created this sizzle reel, but this year they've unveiled a theme song.) Also featured was OpenEXR, originally developed at Industrial Light and Magic and sourced in 1999. (The article calls it "a specification and reference implementation of the EXR file format — a losslessly compressed image storage format for moving images at the highest possible dynamic range.")

"For an organization that is not one of the better-known ones in the FOSS space, we came away with the impression that the ASWF is busy," the article concludes. (Besides running Open Source Days and ASWF Dev Days, it also hosts several working groups like the Language Interop Project works on Rust bindings and the Continuous Integration Working Group on CI tools, There's generally very little of the old razzle-dazzle in the Linux world, but with the demise of SGI as the primary maker of graphics workstations — its brand now absorbed by Hewlett Packard Enterprise — the visual effects industry moved to Linux and it's doing amazing things with it. And Kubernetes wasn't even mentioned once.

OpenAI is partnering with Broadcom and TSMC to design its first in-house AI chip while supplementing its infrastructure with AMD chips, aiming to diversify its reliance on Nvidia GPUs. "The company has dropped the ambitious foundry plans for now due to the costs and time needed to build a network, and plans instead to focus on in-house chip design effort," adds Reuters. From the report: OpenAI has been working for months with Broadcom to build its first AI chip focusing on inference, according to sources. Demand right now is greater for training chips, but analysts have predicted the need for inference chips could surpass them as more AI applications are deployed. Broadcom helps companies including Alphabet unit Google fine-tune chip designs for manufacturing and also supplies parts of the design that help move information on and off the chips quickly. This is important in AI systems where tens of thousands of chips are strung together to work in tandem. OpenAI is still determining whether to develop or acquire other elements for its chip design, and may engage additional partners, said two of the sources.

The company has assembled a chip team of about 20 people, led by top engineers who have previously built Tensor Processing Units (TPUs) at Google, including Thomas Norrie and Richard Ho. Sources said that through Broadcom, OpenAI has secured manufacturing capacity with Taiwan Semiconductor Manufacturing Company to make its first custom-designed chip in 2026. They said the timeline could change. Currently, Nvidia's GPUs hold over 80% market share. But shortages and rising costs have led major customers like Microsoft, Meta, and now OpenAI, to explore in-house or external alternatives.

An anonymous reader quotes a report from TechCrunch: LinkedIn, the social platform used by professionals to connect with others in their field, hunt for jobs, and develop skills, is taking the wraps off its latest effort to build artificial intelligence tools for users. Hiring Assistant is a new product designed to take on a wide array of recruitment tasks, from ingesting scrappy notes and thoughts to turn into longer job descriptions, through to sourcing candidates and engaging with them. LinkedIn is describing Hiring Assistant as a milestone in its AI trajectory: it is, per the Microsoft-owned company, its first "AI agent" And one that happens to be targeting one of LinkedIn's most lucrative categories of users (recruiters).

LinkedIn said the AI assistant is now live with a "select group" of customers (large enterprises such as AMD, Canva, Siemens and Zurich Insurance among them). It's slated to be rolling out more widely in the coming months. [...] "It's designed to take on a recruiter's most repetitive task so they can spend more time on the most impactful part of their jobs," Hari Srinivasan, LinkedIn's VP of product, said in an interview -- "a big statement," he admitted. The product includes the ability to upload full job descriptions, or just note what you want it to have, along with job postings that you like the look of from other companies or roles. In turn, that becomes a list of qualifications you're looking for, as well as an initial pipeline of candidates that you can interact with -- to look for more potential hires that are similar to some, or less like others -- with algorithms designed to search based on skills rather than other indicators (such as where a person lives or went to school), per Srinivasan.

The AI assistant also integrates with third-party application tracking systems, although ultimately, the whole system is trained on LinkedIn data, which spans 1 billion users, 68 million companies and 41,000 skills. LinkedIn said Hiring Assistant is due to get more features soon, such as messaging and scheduling support for interviews, as well as handle follow-ups when candidates have questions before or after interviews. Basically the aim is for it to cover a lot of (time-consuming) admin-style tasks, plus take on some of the thinking, that recruiters have to do daily. Second, unlike many of the other AI features that LinkedIn has released, Hiring Assistant is very squarely aimed at LinkedIn's B2B business, the products it sells to the recruitment industry. "We're really focused on making Hiring Assistant great," said Erran Berger, VP of engineering, in an interview. "This is all bleeding edge, and I mean everything from the experience and how our users are going to interact with it, to the technology that backs it. And so we're really focused on nailing that a lot of the technology we've built is applicable to problems that we're trying to solve for our members and customers. But right now, you know, we really just want to nail this, and then we can figure out where we go from there."

MojoKid writes: Intel has lifted the embargo on independent reviews of its new Core Ultra 200S series Arrow Lake-S processors, which mark a shift in its desktop CPU strategy with symmetrical core/thread counts (no Hyperthreading) and a dedicated 13 TOPS NPU. This series features a disaggregated tiled design for the first time in Intel's desktop chips, focusing on efficiency and power reduction. The Core Ultra 5 245, priced around $300, and the Ultra 9 285K at $589 deliver strong performance, particularly in creator workloads, competing well with AMD's Ryzen CPUs, while the Ultra 9 285K's price undercuts AMD's Ryzen 9 9950X significantly. While gaming performance shows slight regression in spots, the new chips are much more power-efficient than their predecessors. Overall, the platform offers leading-edge features, competitive pricing, and solid performance for creators, gamers and workstation pros.

Tom's Hardware reports on some interesting hardware history being shared on X.com: AMD engineer Phil Park identified a curious nugget of PC architectural history from, of all places, a year-old Quora answer posted by former Intel engineer [and Pentium Pro architect] Robert Colwell. The nugget indicates that Intel could have beaten AMD to the x86-64 punch if the former wasn't dead-set on the x64-only Itanium line of CPUs.
Colwell had responded on Quora to the question "Shouldn't Intel with its vast resources have been able to develop both architectures?" This was a marketing decision by Intel — they believed, probably rightly, that bringing out a new 64-bit feature in the x86 would be perceived as betting against their own native-64-bit Itanium, and might well severely damage Itanium's chances. I was told, not once, but twice, that if I "didn't stop yammering about the need to go 64-bits in x86 I'd be fired on the spot" and was directly ordered to take out that 64-bit stuff. I decided to split the difference, by leaving in the gates but fusing off the functionality. That way, if I was right about Itanium and what AMD would do, Intel could very quickly get back in the game with x86. As far as I'm concerned, that's exactly what did happen.
Phil Park continued the discussion on X.com. "He didn't quite get what he wanted, but he got close since they had x86-64 support in subsequent products when Intel made their comeback." (So, Park posted later in the thread, "I think he won the long game.")

Park also shared a post from Nicholas Wilt (NVIDIA CUDA designer who earlier did GPU computing work at Microsoft and built the prototype for Windows Desktop Manager): I have an x86-64 story of my own. I pressed a friend at AMD to develop an alternative to Itanium. "For all the talk about Wintel," I told him, "these companies bear no love for one another. If you guys developed a 64-bit extension of x86, Microsoft would support it...."

Interesting coda: When it became clear that x86-64 was beating Itanium in the market, Intel reportedly petitioned Microsoft to change the architecture and Microsoft told Intel to pound sand.