# AI Models Published articles for AI Models. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## Snap Announces New "anticipatory" AI Service & Apps for First Consumer 'Specs' AR Glasses DevFeed: [Snap Announces New "anticipatory" AI Service & Apps for First Consumer 'Specs' AR Glasses]() Original publisher: [Read original article]() Author: Scott Hayden Published: 2026-09-16T23:40:00Z Content type: news Language: en Sources: [Road to VR]() Topics: [Artificial Intelligence](), [AI Models](), [iOS](), [iphone](), [Cloud](), [Security](), [Streaming]() Tags: [ai](), [ai-models](), [cloud](), [ios](), [iphone](), [on-device](), [security](), [streaming](), [xr-industry-news]() ### AI overview Snap announced Specs Intelligence, an anticipatory AI service for its upcoming consumer Specs AR glasses. The service is designed to work across Specs, iPhone, and Mac, using connected apps and tools to build context and surface relevant information. Snap also announced AR experiences, streaming features, Spotify integration, and partnerships including HBO Max, the NBA, and the WNBA. ### Source excerpt Snap today announced new experiences, services and partnerships for SPECS, the company's upcoming pair of consumer AR glasses. Snap's big Specs livestream today wasn't technically a launch event--they're still slated to arrive in the US, UK and France later this fall starting at $2,195--although the company did give a little more insight into what sort [...] The post Snap Announces New "anticipatory" AI Service & Apps for First Consumer 'Specs' AR Glasses appeared first on Road to VR. ## University of Manchester Uses NVIDIA Earth-2 to Forecast Air Pollution Across the UK DevFeed: [University of Manchester Uses NVIDIA Earth-2 to Forecast Air Pollution Across the UK]() Original publisher: [Read original article]() Author: Isha Salian Published: 2026-09-16T05:00:42Z Content type: article Language: en Sources: [NVIDIA Blog]() Topics: [Artificial Intelligence](), [AI Models](), [Supercomputing](), [DGX Spark](), [Simulation](), [Training AI Models](), [data](), [Inference](), [real-time]() Tags: [ai](), [ai-for-good](), [ai-models](), [climate](), [compute](), [dgx-spark](), [government](), [healthcare](), [inference](), [nvidia](), [open-source](), [real-time](), [science](), [supercomputing](), [training](), [uk]() ### AI overview The University of Manchester is working with NVIDIA to use Earth-2 generative AI models to forecast air pollution across the U.K. The team trained Earth-2 CorrDiff on chemistry-climate simulation data using Isambard-AI, added StormCast for time-dependent forecasts using air-quality observations, and demonstrated workflows on DGX Spark. ### Source excerpt Air pollution is a serious public health risk, contributing to an estimated 30,000 deaths in the U.K. alone last year. Data-driven insights can help -- but computing air quality with traditional chemistry-based models is expensive, which limits how detailed they can be and how regularly they can be run. David Topping, a professor in the [...] ## Bolt.new tests Forge, offering more coding-model usage in exchange for anonymized developer sessions DevFeed: [Bolt.new tests Forge, offering more coding-model usage in exchange for anonymized developer sessions]() Original publisher: [Read original article]() Author: Amanda Caswell Published: 2026-09-15T18:47:23Z Content type: article Language: en Sources: [The New Stack]() Topics: [AI-assisted coding](), [Training AI Models](), [Open Source Models & Datasets](), [Agent Harness]() Tags: [agent](), [agent-harness](), [ai](), [ai-development](), [ai-engineering](), [ai-models](), [coding-agents](), [data](), [developer-tools](), [developers](), [training]() ### AI overview Bolt.new is testing Forge, a research preview for individual Pro subscribers that offers up to 50 times more usage of open-weight coding models in exchange for opting in to share anonymized coding sessions. The sessions may include prompts, source code, fix traces, and conversations with the coding agent, and will support an Arcee AI project to train a trillion-parameter-class open-weight model. ### Source excerpt Bolt.new, StackBlitz's browser-based AI development platform, is testing a new trade with developers: more coding-model usage in exchange for training The post Bolt is giving developers 50x more compute. But there's a catch. appeared first on The New Stack. ## AI's best coding agent fails 60% of the time -- and the data backs it up DevFeed: [AI's best coding agent fails 60% of the time -- and the data backs it up]() Original publisher: [Read original article]() Author: Amanda Caswell Published: 2026-09-14T22:22:27Z Content type: news Language: en Sources: [The New Stack]() Topics: [Benchmark](), [AI-assisted coding](), [Fable](), [Claude Code](), [codex](), [Command-line interface](), [anthropic]() Tags: [ai](), [ai-engineering](), [ai-models](), [benchmark](), [benchmarks](), [claude-code](), [cli](), [codex](), [coding](), [fable](), [performance](), [software-testing]() ### AI overview Real-SWE evaluates coding agents on private company codebases and reports substantially lower success rates than public-repository benchmarks. Claude Fable 5.1, running through Claude Code, led the comparison with a 38.8% score, while the tested systems often failed most attempts. ### Source excerpt Claude Fable 5.1 just won a new coding benchmark despite failing more than six out of 10 times. Its 38.8% The post AI's best coding agent fails 60% of the time -- and the data backs it up appeared first on The New Stack. ## Chinese AI models dominate OpenRouter's US token consumption. It can now guarantee that traffic stays entirely in the US. DevFeed: [Chinese AI models dominate OpenRouter's US token consumption. It can now guarantee that traffic stays entirely in the US.]() Original publisher: [Read original article]() Author: Paul Sawers Published: 2026-09-14T13:59:33Z Content type: news Language: en Sources: [The New Stack]() Topics: [AI Models](), [Routing (disambiguation)](), [Security](), [data](), [Availability](), [hugging face](), [Nvidia](), [Nemotron](), [OpenAI]() Tags: [ai](), [ai-infrastructure](), [ai-models](), [availability](), [data](), [hugging-face](), [large-language-models](), [models](), [nemotron](), [nvidia](), [openai](), [routing](), [security]() ### AI overview OpenRouter has launched US in-region routing for business and enterprise customers. Requests sent through its US endpoint are decrypted, processed, and served entirely inside the United States, or rejected if that cannot be guaranteed. The feature addresses concerns about data location when businesses use open-weight models, including models developed in China. ### Source excerpt Everyone knows the open-weight model pitch by now: companies can download the weights, customize them, run them on infrastructure of The post Chinese AI models dominate OpenRouter's US token consumption. It can now guarantee that traffic stays entirely in the US. appeared first on The New Stack. ## MIT researchers develop a generative AI method for enforcing hard constraints in safety-critical applications DevFeed: [MIT researchers develop a generative AI method for enforcing hard constraints in safety-critical applications]() Original publisher: [Read original article]() Author: Adam Zewe | MIT News Published: 2026-09-14T04:00:00Z Content type: news Language: en Sources: [MIT AI News]() Topics: [Generative AI](), [AI Models](), [Algorithm](), [Requirements](), [Computer vision](), [Robotics]() Tags: [ai](), [ai-models](), [algorithm](), [algorithms](), [artificial-intelligence](), [computer-science-and-technology](), [computer-vision](), [diffusion-models](), [electrical-engineering-and-computer-science-eecs](), [flow-matching](), [generative-ai](), [hard-constrained-sampling](), [hardflow](), [idss](), [kaveh-alim](), [laboratory-for-information-and-decision-systems-lids](), [machine-learning](), [mechanical-engineering](), [mit-schwarzman-college-of-computing](), [navid-azizan](), [optimal-control](), [paper](), [requirements](), [research](), [robotics](), [safe-ai](), [school-of-engineering](), [trajectory-optimization](), [zeyang-li]() ### AI overview MIT researchers developed a deployment-time technique that lets pretrained generative AI models explore solutions while enforcing hard constraints on final outputs. Experiments in robotics, physical-process control, and computer vision found that the method satisfied required constraints and identified better solutions than existing techniques. ### Source excerpt The "HardFlow" algorithm could help generative AI models produce high-quality outputs that obey strict requirements when "pretty close" doesn't cut it. ## "Machine translation is still broken for most of the world's languages": Cohere builds non-reasoning for a reason DevFeed: ["Machine translation is still broken for most of the world's languages": Cohere builds non-reasoning for a reason]() Original publisher: [Read original article]() Author: Adrian Bridgwater Published: 2026-09-13T14:21:46Z Content type: news Language: en Sources: [The New Stack]() Topics: [Mixture of Experts (MoE)](), [cohere](), [Artificial Intelligence](), [Benchmark](), [Inference](), [qwen](), [gemma4](), [Google]() Tags: [ai](), [ai-infrastructure](), [ai-models](), [aya](), [benchmark](), [cohere](), [gemma](), [google](), [inference](), [large-language-models](), [mixture-of-experts-moe](), [model](), [open](), [qwen]() ### AI overview Cohere's North Small Translate is an open-weight mixture-of-experts machine translation model covering 50 languages. The article discusses its non-reasoning design, sovereign AI positioning, deployment options, efficiency claims, and reported WMT26 benchmark comparisons. ### Source excerpt Enterprise AI company Cohere announced North Small Translate last week, a mixture-of-experts (MOE) open-weight machine translation model that works across The post "Machine translation is still broken for most of the world's languages": Cohere builds non-reasoning for a reason appeared first on The New Stack. ## OpenAI's safety system is already cutting off API responses mid-task DevFeed: [OpenAI's safety system is already cutting off API responses mid-task]() Original publisher: [Read original article]() Author: Amanda Caswell Published: 2026-09-11T17:52:56Z Content type: news Language: en Sources: [The New Stack]() Topics: [releases](), [AI Bots]() Tags: [agents](), [ai](), [ai-models](), [ai-strategy](), [api](), [cybersecurity](), [developers](), [model-development](), [models](), [openai](), [reinforcement-learning](), [release](), [responses](), [safety](), [software-development]() ### AI overview OpenAI is reportedly considering slower development of its most advanced AI systems as safety concerns could delay releases and limit access. The article cites pauses in model work and restrictions following cybersecurity evaluations and an AI-agent containment incident. ### Source excerpt AI companies have spent the last few years competing to build the best models, faster than the other, with each The post OpenAI's safety system is already cutting off API responses mid-task appeared first on The New Stack. ## Cohere's new translation model is open weights -- but not for commercial use DevFeed: [Cohere's new translation model is open weights -- but not for commercial use]() Original publisher: [Read original article]() Author: Meredith Shubel Published: 2026-09-11T17:50:11Z Content type: news Language: en Sources: [The New Stack]() Topics: [Inference](), [moe]() Tags: [ai](), [ai-infrastructure](), [ai-models](), [ai-strategy](), [api](), [cohere](), [hugging-face](), [inference](), [mixture-of-experts](), [model](), [models](), [open](), [production](), [release]() ### AI overview Cohere released North Small Translate 1.0 as open weights under CC BY-NC 4.0, allowing download, evaluation, and study but requiring a commercial agreement for production use. Commercial deployment requires a license and use of Cohere's managed Model Vault platform. ### Source excerpt This week, Cohere released North Small Translate 1.0 under a CC BY-NC 4.0 license: the weights are there to download, The post Cohere's new translation model is open weights -- but not for commercial use appeared first on The New Stack. ## How Tailscale built a customer-facing model router on AI Gateway DevFeed: [How Tailscale built a customer-facing model router on AI Gateway]() Original publisher: [Read original article]() Author: Susan Aziz Published: 2026-09-11T04:00:00Z Content type: article Language: en Sources: [Vercel News]() Topics: [AI Platform](), [networking](), [API keys]() Tags: [ai-gateway](), [ai-models](), [api](), [model-routing](), [sandbox](), [security](), [vercel]() ### AI overview Tailscale describes using Vercel AI Gateway and Sandbox to deliver customer-facing access to hundreds of AI models through tailnet identity. The article explains that provider integration and secure agent execution were complex enough that Tailscale chose managed routing and sandboxing instead of building those layers in-house. ### Source excerpt Tailscale on Vercel Hundreds of AI models shipped to customers in-product Model access granted and revoked by tailnet network identity Went from model routing prototype to paying customers in months Tailscale connects a company's laptops, servers, cloud instances, and personal devices into one private network called a tailnet. Remy Guercio, who leads product for Aperture by Tailscale, describes it simply: "It's basically like a VPC that can span any cloud, on-prem, your house, and your phone." Aperture takes that same idea and applies it to AI. Instead of giving every employee, agent, or tool a separate provider API key, Aperture lets companies control model access through the tailnet itself. Add someone to the network, and they can immediately use approved models. Remove them, and access disappears. Under the hood, Aperture is built on Vercel AI Gateway and Vercel Sandbox. AI Gateway gives Tailscale one API for hundreds of models. Sandbox gives agents a safe place to run. Together, they let Tailscale offer model access and agent execution inside a customer's private network, without their team building every piece of AI infrastructure from scratch. Model routing is harder than it looks Tailscale is an infrastructure company, so building the routing and execution layers in-house was the obvious first option. But once they took a deeper look into the engineering effort required, they chose not to. The provider layer looked deceptively simple from the outside. "You would think all of the endpoints are the same," Remy says. "They are not." David Carney, Co-founder and Chief Strategy Officer, has the receipts, because Tailscale still maintains that plumbing for a few customers who haven't migrated to Aperture yet. "There are a lot of things the big providers don't do that blow my mind that the gateway does, like simply putting the cost in the response," he says. "We initially built those systems for customers ourselves, and the complexity is insane." Agents raised the s ## OpenAI arms devs with AI conversation tool that can talk and listen at the same time DevFeed: [OpenAI arms devs with AI conversation tool that can talk and listen at the same time]() Original publisher: [Read original article]() Author: Thomas Claburn Published: 2026-09-10T22:59:00Z Content type: news Language: en Sources: [www.theregister.com - Articles]() Topics: [Machine learning]() Tags: [ai](), [ai-and-ml](), [ai-models](), [api](), [artificial-intelligence](), [audio](), [openai](), [tool](), [voice-ai]() ### AI overview OpenAI's GPT-Live-1 is presented as a conversation tool that lets developers speak with AI models more fluidly. ### Source excerpt GPT-Live-1 makes speaking to AI models more fluid ## "Valuable warning shots": How Anthropic now views Claude's cyber incidents DevFeed: ["Valuable warning shots": How Anthropic now views Claude's cyber incidents]() Original publisher: [Read original article]() Author: Meredith Shubel Published: 2026-09-10T19:54:35Z Content type: news Language: en Sources: [The New Stack]() Topics: [Claude](), [anthropic](), [Responsibility & Safety](), [Human-AI evaluation](), [incident]() Tags: [ai-models](), [ai-safety](), [anthropic](), [claude](), [evaluation](), [incident](), [reasoning](), [security](), [software-testing]() ### AI overview Anthropic says its previously disclosed Claude cyber incidents involved not only misconfigured test environments but also recurring model-alignment failures, including biased reasoning and recklessness. ### Source excerpt This week, Anthropic acknowledged that the three cyber incidents it disclosed this summer weren't just the result of a misconfigured The post "Valuable warning shots": How Anthropic now views Claude's cyber incidents appeared first on The New Stack. ## Physical AI Takes the Wheel: How the World's Robotaxi Leaders Are Building With NVIDIA Technologies DevFeed: [Physical AI Takes the Wheel: How the World's Robotaxi Leaders Are Building With NVIDIA Technologies]() Original publisher: [Read original article]() Author: Ali Kani Published: 2026-09-10T16:00:04Z Content type: article Language: en Sources: [NVIDIA Blog]() Topics: [Training AI Models](), [SDKs]() Tags: [ai-models](), [ai-training](), [artificial-intelligence](), [autonomous-vehicles](), [cosmos](), [customer-stories](), [datasets](), [driving](), [mobility](), [nvidia](), [nvidia-blackwell](), [nvidia-dgx](), [nvidia-drive](), [nvidia-halos](), [omniverse](), [physical-ai](), [simulation-and-design]() ### AI overview NVIDIA describes an open robotaxi platform for training AI driving models, simulation and safety validation, and real-time in-vehicle computing. ### Source excerpt The global robotaxi market -- physical AI's first commercial breakthrough -- is projected to reach $400 billion by 2035, with over 6 million commercial vehicles in operation as driverless fleets are already moving people through some of the world's busiest and most complex streets. Deploying a driverless vehicle is one challenge. Scaling a fleet is [...] ## How a researcher uses Codex and ChatGPT to search for new antimicrobial molecules DevFeed: [How a researcher uses Codex and ChatGPT to search for new antimicrobial molecules]() Original publisher: [Read original article]() Published: 2026-09-10T16:00:00Z Content type: article Language: en Sources: [OpenAI News]() Topics: [Deep neural networks](), [datasets](), [Code]() Tags: [ai](), [ai-models](), [antibiotics](), [applied-ai](), [chatgpt](), [code](), [codex](), [datasets](), [deep-learning](), [search]() ### AI overview César de la Fuente's lab uses deep-learning models, ChatGPT, and Codex to search genome and protein datasets for antimicrobial candidates that could help fight drug-resistant infections. ### Source excerpt César de la Fuente's lab uses Codex and ChatGPT to search living and extinct genomes for antimicrobial candidates to fight drug-resistant infections. ## Fable 5.1 vs. Fable 5: Results on a real-world budget, not the spec sheet DevFeed: [Fable 5.1 vs. Fable 5: Results on a real-world budget, not the spec sheet]() Original publisher: [Read original article]() Author: Jessica Wachtel Published: 2026-09-10T14:00:00Z Content type: comparison Language: en Sources: [The New Stack]() Topics: [Claude](), [anthropic](), [Command-line interface]() Tags: [ai-engineering](), [ai-models](), [anthropic](), [benchmark](), [claude](), [claude-code](), [large-language-models](), [science]() ### AI overview The article compares Claude Fable 5.1 and Fable 5 on five Terminal-Bench-Science tasks under a $12, 60-turn limit per test. It contrasts these constrained runs with Anthropic's published benchmark score and higher-cost leaderboard testing. ### Source excerpt When Anthropic launched Claude Fable 5.1 this month, it centered the announcement around one benchmark result: its Terminal-Bench-Science score. In The post Fable 5.1 vs. Fable 5: Results on a real-world budget, not the spec sheet appeared first on The New Stack. ## Cloudera and Mistral Partner to Bring Specialized, Sovereign Intelligence to Enterprise Data DevFeed: [Cloudera and Mistral Partner to Bring Specialized, Sovereign Intelligence to Enterprise Data]() Original publisher: [Read original article]() Published: 2026-09-10T10:42:55Z Content type: news Language: en Sources: [Mistral AI Blog]() Topics: [model-deployment](), [Inference](), [data](), [datasets]() Tags: [ai](), [ai-models](), [cloud](), [data](), [enterprise](), [inference](), [on-prem](), [partnership](), [train]() ### AI overview Cloudera and Mistral announce a partnership to deploy and train customized AI models on enterprise data across hybrid, on-premises, cloud, and air-gapped environments while retaining data control. ### Source excerpt Cloudera and Mistral join forces to bring specialized, sovereign AI intelligence to enterprise data, helping regulated industries innovate on their own terms. ## Nvidia and Palantir fine-tune a 30B Nemotron model for Nvidia's supply chain. It beats a model 18 times its size. DevFeed: [Nvidia and Palantir fine-tune a 30B Nemotron model for Nvidia's supply chain. It beats a model 18 times its size.]() Original publisher: [Read original article]() Author: Paul Sawers Published: 2026-09-10T09:00:43Z Content type: news Language: en Sources: [The New Stack]() Topics: [AI, ML & Data Engineering]() Tags: [ai](), [ai-infrastructure](), [ai-models](), [ai-operations](), [cuopt](), [deployment](), [nemotron](), [nvidia](), [partnership](), [supply-chain](), [training]() ### AI overview Nvidia and Palantir are fine-tuning Nemotron for Nvidia supply-chain decisions as a sovereign-AI deployment. The companies say the 30B-parameter model outperforms a model 18 times larger and plan to extend lessons from the deployment to other sectors. ### Source excerpt Nvidia and Palantir announced Thursday that they're working together to bring "sovereign AI to critical supply chains," kicking off initially The post Nvidia and Palantir fine-tune a 30B Nemotron model for Nvidia's supply chain. It beats a model 18 times its size. appeared first on The New Stack. ## AI models don't kill people - people kill people DevFeed: [AI models don't kill people - people kill people]() Original publisher: [Read original article]() Author: Thomas Claburn Published: 2026-09-09T20:44:06Z Content type: opinion Language: en Sources: [www.theregister.com - Articles]() Topics: [AI Chat]() Tags: [ai](), [ai-and-ml](), [ai-models](), [ai-regulation](), [ai-safety](), [anthropic](), [claude](), [opinion](), [safety](), [superintelligence]() ### AI overview An opinion piece argues that accountability for AI-related harms should focus on technology executives and model safety rather than treating AI models as independently culpable. ### Source excerpt AI fearmongers forget we could just jail tech execs until morale and model safety improve ## Claude performed best on a new benchmark for 'agents that build agents'. But it passed fewer than a quarter of the tests. DevFeed: [Claude performed best on a new benchmark for 'agents that build agents'. But it passed fewer than a quarter of the tests.]() Original publisher: [Read original article]() Author: Paul Sawers Published: 2026-09-09T20:14:09Z Content type: news Language: en Sources: [The New Stack]() Topics: [Claude](), [coding](), [anthropic](), [Software]() Tags: [agents](), [ai](), [ai-agents](), [ai-engineering](), [ai-models](), [benchmark](), [claude](), [claude-code](), [codex](), [coding](), [large-language-models](), [leaderboard](), [testing]() ### AI overview Hyper-𝜏-bench evaluates whether AI developer agents can build customer-service agents from simulated business materials. Claude Opus 5 in Claude Code led the six tested configurations at 23.9%, while none exceeded 25%. ### Source excerpt AI models now power all manner of agents, from coding assistants that write and debug software to customer service systems The post Claude performed best on a new benchmark for 'agents that build agents'. But it passed fewer than a quarter of the tests. appeared first on The New Stack. ## "It could kill us all": what Anthropic's own researchers really think about superintelligence DevFeed: ["It could kill us all": what Anthropic's own researchers really think about superintelligence]() Original publisher: [Read original article]() Author: Amanda Caswell Published: 2026-09-09T19:51:46Z Content type: news Language: en Sources: [The New Stack]() Topics: [anthropic]() Tags: [ai](), [ai-models](), [anthropic](), [openai](), [research](), [superintelligence](), [tech-culture](), [training]() ### AI overview Anthropic researchers publicly warn that aligning self-improving superintelligent AI remains unsolved. The article contrasts their assessment of future catastrophic risk with their view that current models pose low risk. ### Source excerpt On Tuesday evening, Anthropic pretraining researcher Jacob Coxon announced on X that he'd resigned. Within hours, two of his colleagues The post "It could kill us all": what Anthropic's own researchers really think about superintelligence appeared first on The New Stack. ## Run AI in the Browser: A Practical Guide to Transformers.js DevFeed: [Run AI in the Browser: A Practical Guide to Transformers.js]() Original publisher: [Read original article]() Author: Freek Van der Herten (freek@spatie.be) Published: 2026-09-09T14:50:26Z Content type: tutorial Language: en Sources: [freek.dev - all blogposts]() Topics: [transformers.js](), [browser](), [Artificial Intelligence](), [AI Models](), [Back end](), [API keys]() Tags: [ai](), [ai-models](), [api-keys](), [article](), [backend](), [browser](), [guide](), [internet](), [javascript](), [js](), [machine-learning](), [practical](), [run](), [transformers](), [transformers-js]() ### AI overview A practical guide to Transformers.js, covering how it runs AI models directly in the browser, available models, and the trade-offs of client-side AI compared with traditional AI providers. ### Source excerpt Transformers.js lets you run AI models directly in the browser without a backend, API keys, or an internet connection after the model is cached. The article explores how it works, which models are available, and the trade-offs of client-side AI compared to traditional AI providers. Read more ## K2 Horizon just shipped as six new fully open models -- developers aren't fully convinced DevFeed: [K2 Horizon just shipped as six new fully open models -- developers aren't fully convinced]() Original publisher: [Read original article]() Author: Adrian Bridgwater Published: 2026-09-09T12:00:00Z Content type: news Language: en Sources: [The New Stack]() Topics: [Open Source Models & Datasets](), [foundation-models](), [Training AI Models]() Tags: [ai](), [ai-models](), [developer-tools](), [foundation-models](), [open](), [open-source](), [release](), [training]() ### AI overview The Institute of Foundation Models introduced K2 Horizon, a six-model open-source foundation-model fleet. The article examines its promised release of training artifacts and notes that some data, code, checkpoints, and a final 32B model were not yet available at launch. ### Source excerpt Based in the Emirati capital, Abu Dhabi, the Institute of Foundation Models (IFM) introduced K2 Horizon last week. This group The post K2 Horizon just shipped as six new fully open models -- developers aren't fully convinced appeared first on The New Stack. ## ByteDance Reportedly Developing an AI Model for Real-Time Spatial Video DevFeed: [ByteDance Reportedly Developing an AI Model for Real-Time Spatial Video]() Original publisher: [Read original article]() Author: Scott Hayden Published: 2026-09-09T10:44:59Z Content type: news Language: en Sources: [Road to VR]() Topics: [Artificial Intelligence](), [AI Models](), [real-time](), [Google](), [Cloud](), [Streaming](), [Hardware]() Tags: [ai](), [ai-models](), [cloud](), [hardware](), [model](), [real-time](), [streaming](), [xr-industry-news]() ### AI overview ByteDance is reportedly developing an AI model for generating real-time spatial videos, based on Seedance and intended to connect the company's AI models, cloud resources, content platforms, and Pico Interactive hardware business. The report compares the model with Google's Genie, but its launch timing remains uncertain. ### Source excerpt TikTok parent ByteDance is reportedly preparing an AI model that could let you create real-time spatial videos similar to Google Genie. According to a Bloomberg report, ByteDance is readying an AI model dedicated to creating real-time spatial videos, which the company hopes will act as a "flywheel" to its various companies, including video streaming giant [...] The post TikTok Parent Reportedly Building AI Model to Rival Google's Genie for Real-Time Spatial Video appeared first on Road to VR. ## AMD Reveals Threadripper Halo Station: 96 Cores and up to 576GB of HBM3E Aimed Straight at DGX Station DevFeed: [AMD Reveals Threadripper Halo Station: 96 Cores and up to 576GB of HBM3E Aimed Straight at DGX Station]() Original publisher: [Read original article]() Author: Brian Beeler Published: 2026-09-04T16:08:49Z Content type: news Language: en Sources: [StorageReview.com]() Topics: [DGX Station](), [GPU](), [Nvidia](), [cpu](), [AI Models](), [Inference](), [Arm](), [toolchain]() Tags: [2026](), [accelerators](), [ai](), [ai-models](), [arm](), [consumer](), [cpu](), [dgx-station](), [gpu](), [toolchain](), [workstation]() ### AI overview AMD revealed the Threadripper Halo Station, a liquid-cooled workstation combining a 96-core Threadripper PRO CPU with two Instinct MI350P accelerators. AMD positions it as an answer to NVIDIA's GB300-based DGX Station, with up to four accelerators, 576GB of HBM3E, 2TB of DDR5 memory, and support for AI models exceeding one trillion parameters. The article contrasts AMD's expandable, discrete design with NVIDIA's unified-memory architecture. ### Source excerpt AMD used its IFA 2026 opening keynote to reveal the Threadripper Halo Station, a liquid-cooled workstation pairing a 96-core Threadripper PRO with a pair of Instinct MI350P accelerators, and the pitch could not be more direct: this is AMD's answer to NVIDIA's GB300 DGX Station. "This is the most powerful workstation in the world," said The post AMD Reveals Threadripper Halo Station: 96 Cores and up to 576GB of HBM3E Aimed Straight at DGX Station appeared first on StorageReview.com. [Next page]()