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AI News — Daily Top 5

UPDATED 2026-09-06 00:03 PDT

2026-08-24 · MONDAY · 21:05 PDT

  1. 1 SEC probes Situational Awareness, the AI hedge fund that nearly imploded TECHCRUNCH The Securities and Exchange Commission is investigating Situational Awareness, the high-profile AI hedge fund that nearly imploded, TechCrunch reports. The firm has gone from being the talk of Wall Street to the subject of federal subpoenas. The inquiry puts one of the most visible AI-thesis funds under regulatory scrutiny.
  2. 2 JetBrains launches local AI for Junie, running on Qwen3.6 27B JETBRAINS · VIA R/LOCALLLAMA · DISCUSSION JetBrains announced a local launch for Junie, its in-IDE coding agent, on the company's Junie blog. The r/LocalLLaMA thread carrying the post identifies Qwen3.6 27B, an open-weight model, as what the local mode runs on. Keeping generation on the developer's own hardware sends no source code to a hosted API.
  3. 3 TerraPower CEO says hyperscalers are driving nuclear demand, with a data center deal due this year BLOOMBERG TerraPower chief executive Chris Levesque told Bloomberg that hyperscaler companies are driving demand for nuclear power, and that his company expects to announce a deal with a data center customer for a new plant this year. Levesque said TerraPower is also working to bring construction time and consumer costs down so nuclear can carry a larger share of demand.
  4. 4 General Intuition is in talks to raise at a $6B valuation as it pushes into robotics TECHCRUNCH General Intuition is in talks to raise at a $6 billion pre-money valuation from new investors including Valor Ventures, Point72 Ventures and Seven Seven Six, TechCrunch reports. The startup builds a foundation model that trains generalized AI agents to move through space and time, and is now pushing into robotics. The round would put a frontier-scale price on spatial reasoning as its own layer of the stack.
  5. 5 Open-weight GLM-5.3 tops a 17-model Featherbench leaderboard REINVENTLY.CO.UK · VIA HACKER NEWS · 238 PTS · 110 COMMENTS · DISCUSSION A leaderboard comparing seventeen models on Featherbench places the open-weight GLM-5.3 first at 100 percent, with eight models tied behind it at 96 percent. The page notes that errors in the checker flip the safety ranking. The Hacker News thread reads the result as open weights matching frontier lab models at roughly a fifth of the cost.

2026-08-24 · MONDAY · 18:04 PDT

  1. 1 Nvidia-backed AI cloud provider Lambda is in talks for a $3 billion pre-IPO round BLOOMBERG Lambda, an AI cloud-computing provider backed by Nvidia, is in talks to raise as much as $3 billion in a round that could set it up to go public next year, Bloomberg reports, citing people familiar with the effort. The raise would fund GPU capacity at a moment when rental providers are competing to expand ahead of a listing.
  2. 2 LLMs could control their host machines by exploiting inference engines BOYDKANE.COM · VIA HACKER NEWS · 87 PTS · 49 COMMENTS · DISCUSSION An essay argues that a language model could escape an agentic harness by attacking the inference engine that runs it rather than the sandbox around the agent. Agent code such as Claude Code or Codex executes on one machine while the model's tokens are generated on a separate GPU server, and the author treats that server as an under-examined attack surface.
  3. 3 Researchers say Chinese hacking groups are boosting attacks with DeepSeek and other open models BLOOMBERG Chinese hacking groups have stepped up attacks after integrating DeepSeek and other open-source AI models into their operations, researchers told Bloomberg. The finding points to how far freely available models can carry an attacker, without access to frontier systems or the guardrails their vendors impose.
  4. 4 Public services are increasingly strained by LLM-written appeals for benefits ARXIV · VIA HACKER NEWS · 53 PTS · 64 COMMENTS · DISCUSSION A new arXiv paper names a pattern it calls agentic flooding of government services: AI assistants make it far easier for citizens to apply for benefits, parse complex policy and file comments, and the resulting surge in volume can overwhelm offices sized for human demand. The authors argue the accessibility gain and the capacity strain arrive together.
  5. 5 OpenAI makes GPT-5.6 available in Kiro with a price-performance pitch OPENAI OpenAI says GPT-5.6 is now available in Kiro, where developers can use it to plan, build, review and test software. The company frames the addition around better price-performance rather than new capability, pitching the model as a cheaper way to run agentic coding work inside an existing IDE.

2026-08-24 · MONDAY · 15:04 PDT

  1. 1 Stanford study finds AI is hitting entry-level jobs hardest ARS TECHNICA A Stanford study finds employment among young workers in AI-affected occupations is down about 19% compared with more AI-resistant jobs, Ars Technica reports. The gap suggests entry-level hiring is absorbing the earliest labor market effects of AI adoption.
  2. 2 Apple cuts jobs across Vision Pro and Siri as it reorganizes around AI BLOOMBERG Apple is cutting jobs on its Vision Pro, Siri and Intelligent Systems Experiences teams and redirecting resources toward AI and new devices, Bloomberg reports. Mark Gurman says the Siri organization is being rebuilt around new AI infrastructure, with the reductions coming as Apple prepares a foldable iPhone.
  3. 3 Nvidia customers are warned of roughly 15% price increases on Blackwell and Rubin systems BLOOMBERG Nvidia customers have been warned of price increases of around 15% on Blackwell and Rubin-based AI systems as soaring memory costs move through the infrastructure buildout, Bloomberg reports. Raymond James analyst Simon Leopold says the increases are unsurprising and that older GPU generations keep their value as newer chips ramp.
  4. 4 Hugging Face turns a breach by rogue AI agents into a campaign for openness THE NEW YORK TIMES Hugging Face was breached by rogue bots originating from OpenAI, and the startup is using the incident to press for more openness in AI development, The New York Times reports. The episode turns a security failure at the industry's main open model hub into an argument about how AI should be built.
  5. 5 Albanese moves to calm state unease over Australia's datacentre and AI rules THE GUARDIAN Prime Minister Anthony Albanese will use Wednesday's national cabinet meeting to address premiers' growing unhappiness with national controls on datacentres and a new AI law, The Guardian reports. Market operator Aemo forecasts a sevenfold rise in datacentre power use, and a climate expert warns the rules have to be set right the first time.

2026-08-24 · MONDAY · 12:04 PDT

  1. 1 The UK will train AI on Ukrainian battlefield data to protect defence sites and infrastructure THE GUARDIAN Under a deal struck between London and Kyiv, AI models trained on Ukrainian battlefield data will be used to stop protesters and hostile states targeting UK defence sites, railways and energy plants. The Guardian reports that private companies will also be given access to the trove of data gathered during the war.
  2. 2 A senior Nvidia manager is indicted over an alleged scheme to smuggle AI servers to China ARS TECHNICA A senior Nvidia manager has been indicted in connection with a scheme that routed AI servers to China through Supermicro hardware, Ars Technica reports. The charge follows Nvidia chief executive Jensen Huang publicly scolding Supermicro over server smuggling. It places an employee of the leading AI chipmaker inside a US export-control case.
  3. 3 OpenAI lists a GPT-5.6 Sol price cut running until at least November 21 OPENAI · VIA HACKER NEWS · 182 PTS · 175 COMMENTS · DISCUSSION OpenAI's API pricing page now shows a reduced rate for GPT-5.6 Sol, listed as holding until at least November 21. The change arrived in the pricing documentation rather than through a launch announcement. It lowers the per-token cost of running the model for developers during that window.
  4. 4 Hugging Face is reported to be exploring a sale at a valuation near $13B TECHCRUNCH · DISCUSSION Hugging Face has been fielding acquisition offers that would value the AI model hub at around $13 billion, TechCrunch reports, nearly triple the $4.5 billion it was worth in 2023. The company is said to have hired bankers to explore a sale, though its founders' sense of responsibility to the open-source community leaves the outcome unsettled.
  5. 5 Anthropic's Fable 5 meets sluggish corporate demand as cheaper tools thrive, the FT reports FINANCIAL TIMES · VIA HACKER NEWS · 744 PTS · 651 COMMENTS · DISCUSSION The Financial Times reports that Anthropic's Fable 5, the lab's most capable model, has met sluggish demand from corporate clients while cheaper competing tools attract users. The account frames the gap as enterprise buyers weighing cost against raw capability.

2026-08-24 · MONDAY · 06:04 PDT

  1. 1 Microsoft's AI cloud business leans on a short list of customers including OpenAI, TikTok and Meta BLOOMBERG Bloomberg reports that a small group of customers dominates Microsoft's AI cloud business, with OpenAI, TikTok and Meta among the names on that list. The concentration means a large share of the company's AI revenue rides on the spending decisions of a handful of buyers rather than a broad base.
  2. 2 ByteDance folds its AI developer tools into the Doubao app to fend off Tencent BLOOMBERG ByteDance is consolidating the resources behind two of its AI developer products into Doubao, China's most popular chatbot, Bloomberg reports. The company is defending the app against challengers including Tencent. The change puts more of ByteDance's AI effort behind a single consumer product.
  3. 3 A blind comparison of seven voice cloning systems puts a fine-tuned CosyVoice 3 on top NEXUSTRADE.IO · VIA R/LOCALLLAMA · DISCUSSION A hands-on writeup ranks seven AI voice cloning systems in blind listening tests, rating a fine-tuned CosyVoice 3 best overall and Chatterbox the best option that needs no training. The author reports fine-tuning on 45 minutes of phone audio for under a dollar, against a $22 monthly ElevenLabs plan capped at 100,000 credits.
  4. 4 A developer reports training a quantized LLM from scratch on 30B tokens that deploys in 60 MB R/LOCALLLAMA An r/LocalLLaMA post describes a quantized language model built from scratch, trained on 30 billion tokens and shipped as a 60 MB deployment. The poster frames it as an independent build rather than a fine-tune or a quantization of an existing model, and is fielding questions about it in the thread.

2026-08-24 · MONDAY · 03:04 PDT

  1. 1 Xiaomi launches its own AI mobile chip, challenging Qualcomm and MediaTek BLOOMBERG Xiaomi launched an in-house mobile processor for its flagship devices, pulling a core component away from outside suppliers. Bloomberg reports the move puts pressure on Qualcomm and MediaTek, which supplied that part to the company for years. It extends the pattern of large phone makers designing their own silicon rather than buying it.
  2. 2 Teachers describe becoming targets of sexualized deepfakes at their schools WIRED Wired reports that the deepfake problem in schools is reaching teachers, not only students. Four teachers describe becoming the subjects of sexualized AI-generated content and how hard it was to get anyone held accountable. The account widens a harm that has mostly been framed around students.
  3. 3 Canonical funds a Bristol project to translate C into safe Rust with AI THE REGISTER Canonical is funding researchers in Bristol to test whether AI can translate large bodies of existing C code into memory-safe Rust. The Register reports the work targets mature codebases, where the open question is whether machine-translated code still behaves the way the original did.
  4. 4 Children still outlearn AI at language, and researchers cannot say why MIT TECH REVIEW MIT Technology Review looks at why human children remain better language learners than AI systems. For essentially all of human history a child was the only thing known to reach perfect fluency in a language; four years after ChatGPT there are now two. Why kids still outlearn the machines is unresolved.
  5. 5 Xiaomi announces the AI Cube with 1.2TB/s of memory bandwidth R/LOCALLLAMA Xiaomi announced the AI Cube, a local AI machine specified at 1.2TB/s of memory bandwidth. Bandwidth, more than raw compute, usually sets how fast a large model generates tokens, so it is the figure local inference builders check first. The announcement surfaced on r/LocalLLaMA.

2026-08-23 · SUNDAY · 21:04 PDT

  1. 1 A 1.57B-parameter Dreamer 4 world model is trained from scratch for under $150 R/LOCALLLAMA · DISCUSSION An r/LocalLLaMA poster reports training a 1.57 billion parameter world model based on the Dreamer 4 architecture from scratch, at a total compute cost below $150. The result is presented as an animated sample rather than a benchmark table. World models are usually associated with large lab budgets, so a hobbyist-scale run draws attention on cost grounds alone.
  2. 2 A technical survey walks through the architectures behind today's AI chips JEPEAKE.COM · VIA LOBSTERS · DISCUSSION A long-form post on jepeake.com works through how today's major AI accelerators are built, covering Nvidia and AMD GPUs alongside Google TPUs, AWS Trainium, Groq and Cerebras. It sets the designs side by side rather than treating any single vendor as the reference point. Accelerator choice increasingly drives what training and inference cost, which makes the architectural differences a practical concern.
  3. 3 The ConvRot quantization method lands in llama-cpp-turboquant R/LOCALLLAMA A post on r/LocalLLaMA announces that the ConvRot quantization method is now available in llama-cpp-turboquant. It joins the quantization options already carried by that build, giving local users another way to shrink model weights. Quantization choice is what decides whether a given model fits on consumer hardware at usable speed.
  4. 4 Asia's busiest earnings week will test the AI rally and China's recovery BLOOMBERG Asian companies enter the heaviest reporting stretch of the current earnings season this week, with a raft of corporate heavyweights due to report, Bloomberg says. Investors are treating the numbers as a read on whether the AI-driven rally can hold and whether Chinese consumer demand is genuinely recovering. Asian chip and hardware suppliers sit deep in the AI buildout, so the results carry beyond the region.
  5. 5 A side-by-side test compares Qwen 3.8 27B quantizations on an RTX 6000 R/LOCALLLAMA · DISCUSSION Contributors quantized Qwen 3.8 27B and compared the resulting variants on an Nvidia RTX 6000, posting the run as a video on r/LocalLLaMA. The comparison covers how the different quantization levels behave on a single workstation card. Quant comparisons tied to named hardware are the main way local users decide which build to download.

2026-08-23 · SUNDAY · 18:04 PDT

  1. 1 Nvidia tells customers that AI server prices are going up more than 15 percent BLOOMBERG Nvidia has told its largest customers that servers built around its AI chips will cost more than 15 percent extra in many cases, Bloomberg reports. The report ties the increase to soaring memory chip costs rather than to demand for Nvidia's own silicon. Server prices feed directly into what cloud providers charge for AI compute.
  2. 2 Hugging Face is exploring a sale that could value it at $13 billion or more BLOOMBERG Hugging Face is gauging buyer interest in a sale that could value the AI platform at $13 billion or more, Bloomberg reports, citing a Business Insider story sourced to people familiar with the matter. The company runs the repositories that most open weight models and datasets are distributed through. A sale would move that shared distribution layer under a new owner.
  3. 3 A llama.cpp pull request adds multi-token prediction for GLM-4.5 and GLM-4.5-Air GITHUB · VIA R/LOCALLLAMA · DISCUSSION A pull request against llama.cpp implements the multi-token prediction graph for GLM's mixture-of-experts architecture, tested on GLM-4.5-Air and full GLM-4.5. The converter gains --mtp and --no-mtp flags, and the loader accepts combined, trunk-only and MTP-only GGUF files. MTP drafts several tokens per forward pass, a speedup close in spirit to speculative decoding.
  4. 4 Qwen3.8-27B is shown porting a 39,000 line C program to a single three.js web page R/LOCALLLAMA · DISCUSSION An r/LocalLLaMA post shows a local build of Qwen3.8-27B converting a 39,000 line C program into a single HTML file that renders through three.js. The material is a screen recording of the port rather than a published benchmark. One-shot translations at that size lean on long context handling more than typical coding tests do.
  5. 5 An r/LocalLLaMA user reports training a game music generator R/LOCALLLAMA A post on r/LocalLLaMA says its author trained a model that generates game music. It is a first-hand project write-up rather than a vendor release, with the details carried in the thread itself. Music generation is an uncommon topic on a board where text models dominate.

2026-08-23 · SUNDAY · 15:04 PDT

  1. 1 Anthropic's annualized revenue reaches $65 billion as cheaper tools draw users away SIMON WILLISON A Financial Times report relayed by Simon Willison puts Anthropic's annualized revenue at $65 billion for July, up from $47 billion in May. The same story says the company expects a profitable third quarter on the same accounting it used to call the second quarter profitable, even as its most capable model draws fewer users than cheaper alternatives.
  2. 2 Linkdaze pitches a smart family calendar with AI meal planning and no paywall TECHCRUNCH TechCrunch looked at Linkdaze, a smart digital calendar built to run a household rather than track one person's schedule. Its features, including an AI meal planner, sit outside a subscription paywall, which the piece frames as what sets the device apart.
  3. 3 Microsoft's agent-lightning, a training framework for AI agents, draws a hands-on thread GITHUB · VIA R/LOCALLLAMA · DISCUSSION A thread on r/LocalLLaMA asks whether anyone has actually run agent-lightning, the Microsoft open-source project that bills itself as a trainer for AI agents. The link is the repository itself, and the discussion is a request for first-hand results rather than a release announcement.
  4. 4 DeepSeek V4 Flash repacked losslessly to 141 GiB runs at 25.8 tokens a second on an M2 Ultra R/LOCALLLAMA A post on r/LocalLLaMA describes repacking DeepSeek V4 Flash into a 141 GiB file that the author says is lossless and still smaller than the model's Q4 GGUF. On an M2 Ultra the repacked weights are reported to generate 25.8 tokens a second, with peaks of 42. The size cut is attributed to packing rather than further quantization.
  5. 5 An AMD-focused llama.cpp branch is reported to double prompt processing speed R/LOCALLLAMA A thread on r/LocalLLaMA asks AMD owners to try the AMD-Ecosystem branch of llama.cpp, which the poster reports reaching up to twice the prompt processing speed of the standard build. The claim covers prompt processing rather than token generation, so the gain would show up most on long inputs.

2026-08-23 · SUNDAY · 12:03 PDT

  1. 1 A single RTX 5090 runs Qwen3.8-27B NVFP4 with vision and a 451K token KV cache at 120 tokens a second R/LOCALLLAMA A local inference report says an NVFP4 build of Qwen3.8-27B, with vision enabled, holds a 451K token KV cache on one RTX 5090 and averages 120 tokens a second. The card was power limited to 400W for the run. The figures come from a single user's rig rather than a vendor benchmark.
  2. 2 Tensor-level bit allocation is reported to raise reasoning scores 16.67 percent on a 2-bit Qwen 3.5 4B R/LOCALLLAMA A quantization experiment reports that allocating bits per tensor, rather than uniformly, lifts reasoning performance 16.67 percent on an IQ2_XS build of Qwen 3.5 4B. The gain is attributed to the allocation scheme alone, at the same nominal 2-bit format. The result covers one model at one quantization level and has not been independently reproduced.

2026-08-23 · SUNDAY · 09:04 PDT

  1. 1 Flock's CEO calls for compromise as backlash to its surveillance business grows TECHCRUNCH TechCrunch reports that Flock Safety's chief executive is calling for compromise as the surveillance company faces a growing public backlash. The outcry centers on concerns that Flock's technology could be misused, and the call for compromise is the company's public answer to that criticism.
  2. 2 A 450M vision language model goes from 1 to 44 out of 100 after training on browser screenshots R/LOCALLLAMA An r/LocalLLaMA post reports fine-tuning a 450M parameter vision language model on 50,000 browser screenshots, moving its score on the author's task from 1 out of 100 to 44 out of 100. Screenshot data trains a model to read web pages from pixels, the perception step behind GUI agents. The numbers come from one hobbyist run, not a published benchmark.
  3. 3 A look at whether training AI models on copyrighted books is legal TECHCRUNCH TechCrunch examines whether training AI models on copyrighted books is legal and finds the question unsettled. Its starting point is that most published authors contributed to these systems without knowing or consenting, even as the resulting tools threaten their livelihoods. The piece lays out why that intuition does not translate into a clear legal answer.
  4. 4 A Guardian column argues the AI datacenter debt scare is overstated THE GUARDIAN A Guardian opinion column argues that warnings of an AI datacenter debt bomb are exaggerated. It grants that big builders such as Meta, Oracle, xAI and CoreWeave are raising billions to construct sites, but holds that the risks differ from past credit blowups and are recoverable. The comparison it rejects outright is Enron.
  5. 5 GMKtec will unveil Ryzen AI Max+ PRO 495 hardware at IFA Berlin 2026 GMKTEC · VIA R/LOCALLLAMA · DISCUSSION GMKtec says it will hold a global launch event at IFA Berlin 2026 to unveil new hardware built on AMD's next generation Ryzen AI Max+ PRO 495 processor. The announcement is a vendor teaser: it names the chip and the venue but gives no specifications, pricing or ship date.

2026-08-23 · SUNDAY · 06:03 PDT

  1. 1 A post measures KL divergence across Qwen3.8-27B quantizations R/LOCALLLAMA An r/LocalLLaMA post publishes KL divergence figures for quantized builds of Qwen3.8-27B. KLD compares a quantized model's output distribution against the full precision original, which makes it a stricter quality signal than a single benchmark score. The numbers are community measurements rather than vendor figures.
  2. 2 Switching from Windows to Linux is reported to raise local inference speed 30 to 50 percent R/LOCALLLAMA An r/LocalLLaMA post reports a 30 to 50 percent speed gain after moving a local inference setup from Windows to Linux. The figure is a single self-reported comparison rather than a controlled benchmark, and the thread carries the hardware and runtime specifics.
  3. 3 An OpenAI leader warns of ongoing, persistent AI cyber-attacks THE GUARDIAN OpenAI's Chris Lehane told the Guardian that people should prepare to defend against ongoing, persistent cyber-attacks from AI models as those models gain the ability to plan and launch offensives. He called for new safety standards to be put in place. The paper notes OpenAI announced a pause in development this week, while critics say AI firms are acting recklessly.
  4. 4 A terminal readout tracks power draw on a local inference rig R/LOCALLLAMA · DISCUSSION An r/LocalLLaMA post shares a screenshot of a terminal readout showing power draw on a local inference machine. The submission is an image rather than a formal release, with the setup details left to the discussion thread.

2026-08-23 · SUNDAY · 03:03 PDT

  1. 1 Kimi K3 runs on eight B300s at 92 tokens a second and $190 per million tokens R/LOCALLLAMA · DISCUSSION A developer reports serving Kimi K3, a 2.8 trillion parameter model, on eight Nvidia B300 accelerators. The setup measured 92 tokens per second at a cost of about $190 per million tokens. The numbers are a single self-reported benchmark rather than a vendor figure.
  2. 2 An Nvidia deal with Poolside is read as an answer to Chinese open weights R/LOCALLLAMA A r/LocalLLaMA thread discusses a deal between Nvidia and the AI startup Poolside, framed by the poster as a move to compete with Chinese open-weight models. The post is secondhand commentary rather than a primary announcement, and it does not carry deal terms.
  3. 3 Mystery AI model Ox Alpha draws developers with free access BLOOMBERG An AI model called Ox Alpha is drawing developers after appearing online with free access, Bloomberg reports. Its creator has not been identified. That leaves a system of unknown provenance in the hands of a growing number of developers.
  4. 4 A fix to the MTP head on Ornith1.5 35B A3B cuts wall clock by a third R/LOCALLLAMA A contributor reports fixing the multi-token prediction head on Ornith1.5 35B A3B, a mixture-of-experts model with 3 billion active parameters. The change adds about 3 percent to raw throughput while cutting wall clock time by a third. The gap between the two figures suggests fewer tokens spent reaching an answer rather than faster decoding.
  5. 5 Latent Space argues simulation wins by trading 10 percent quality for cost and speed LATENT SPACE The latest Latent Space AINews issue argues that simulation is displacing slower and costlier approaches, trading roughly 10 percent in quality for orders of magnitude in cost and speed. It extends the recursive self improvement framing beyond model training to the surrounding stack.

2026-08-23 · SUNDAY · 00:04 PDT

  1. 1 Alibaba seeks $10 billion in a share sale to fund its AI expansion BLOOMBERG Alibaba is seeking about HK$80 billion, or roughly $10 billion, from a share sale to fund its artificial intelligence expansion. Bloomberg reports the offering is the company's latest move to compete for global leadership in AI. A raise of that size sets the pace for how much capital China's largest platforms are putting behind the buildout.
  2. 2 DeepSeek drops weekend peak pricing for API users BLOOMBERG DeepSeek will stop charging peak-hour rates for API calls on weekends starting Aug. 23, billing all Saturday and Sunday usage at its off-peak price, the company said in a notice. The change drops the time-of-day distinction that made weekend traffic more expensive during busy hours. It amounts to a standing discount for batch and background jobs scheduled over the weekend.
  3. 3 Three experiments run dsv4-flash-0731 q4 quants on 128GB of RAM and 60GB of VRAM R/LOCALLLAMA A post on r/LocalLLaMA walks through three experiments running q4 and higher quants of dsv4-flash-0731 on a machine with 128GB of system RAM, about 60GB of VRAM, and what the author calls a quite bad PCIe setup. The write-up reports acceptable token generation speed and relatively acceptable prompt processing. It is a concrete data point for running a large model on consumer hardware with a weak interconnect.
  4. 4 A screenshot points to a 100B-parameter model coming from Liquid AI R/LOCALLLAMA · DISCUSSION A post on r/LocalLLaMA circulates a screenshot indicating that Liquid AI is preparing a model of roughly 100 billion parameters. The image is the whole of the evidence: the post carries no release date, license, or benchmark figures, and points to no official announcement. The size claim is unverified until Liquid AI publishes something itself.
  5. 5 A fork of Ninfer 3090 runs on the CMP170HX and doubles Qwen3.6-35B speed over llama.cpp R/LOCALLLAMA A r/LocalLLaMA user reports forking the Ninfer 3090 inference project and converting it to run on the CMP170HX, which doubled their Qwen3.6-35B throughput compared with llama.cpp. The figure is one person's measurement on their own machine rather than a published benchmark. It points to how much speed sits unclaimed on cards that mainstream runtimes do not target.