{
  "version": "https://jsonfeed.org/version/1.1",
  "title": "AI News: Community",
  "home_page_url": "https://ai-news.ypetit.net/sources/",
  "feed_url": "https://ai-news.ypetit.net/feed/category/community.json",
  "description": "Community publications from the world's largest AI labs and companies, aggregated by AI News. Primary sources only.",
  "language": "en",
  "items": [
    {
      "id": "urn:latent-space:post:post_46e4845e-1c40-414a-8538-c0bf636fb11a",
      "url": "https://latent.space/p/ai-is-getting-good-at-math/",
      "title": "Latent Space (swyx): AI Is Getting Good at Math. Here’s Why.",
      "summary": "AI models are solving more mathematical problems. A pattern is emerging in their successes that could help us predict which problems they’ll solve next.",
      "date_published": "2026-10-23T15:19:48.000Z",
      "tags": [
        "community",
        "Latent Space (swyx)"
      ],
      "authors": [
        {
          "name": "Latent Space (swyx)"
        }
      ]
    },
    {
      "id": "6ad930af04046100012d200c",
      "url": "https://www.deeplearning.ai/the-batch/a-single-decoder-turns-small-models-into-action/",
      "title": "The Batch (Andrew Ng): A Single Decoder Turns Small Models into Action: TurboVLA turns to a throwback architecture to attend to language and vision",
      "summary": "The vision-language-action architecture that increasingly drives robots relies on a large language model to combine visual observations with text instructions before an action decoder produces motor commands.",
      "date_published": "2026-10-23T15:15:00.000Z",
      "tags": [
        "community",
        "The Batch (Andrew Ng)"
      ],
      "authors": [
        {
          "name": "The Batch (Andrew Ng)"
        }
      ]
    },
    {
      "id": "6ad9300904046100012d2005",
      "url": "https://www.deeplearning.ai/the-batch/nvidia-courts-a-new-partner/",
      "title": "The Batch (Andrew Ng): Nvidia Courts A New Partner: Reflection releases Beam, an open weight model from an independent U.S.-based lab",
      "summary": "Reflection AI, a closely-watched, Nvidia-backed U.S. startup, announced its first model.",
      "date_published": "2026-10-23T15:10:00.000Z",
      "tags": [
        "community",
        "The Batch (Andrew Ng)"
      ],
      "authors": [
        {
          "name": "The Batch (Andrew Ng)"
        }
      ]
    },
    {
      "id": "6ad92a659f1f3400019b1b50",
      "url": "https://www.deeplearning.ai/the-batch/chatgpt-for-teens-gets-a-report-card/",
      "title": "The Batch (Andrew Ng): ChatGPT for Teens Gets a Report Card: OpenAI adds features for youths as studies doubt program's safety and educational impact",
      "summary": "OpenAI announced that it would add college-planning and study tools to its under-18 experience.",
      "date_published": "2026-10-23T15:05:00.000Z",
      "tags": [
        "community",
        "The Batch (Andrew Ng)"
      ],
      "authors": [
        {
          "name": "The Batch (Andrew Ng)"
        }
      ]
    },
    {
      "id": "6ad926ff9f1f3400019b1b42",
      "url": "https://www.deeplearning.ai/the-batch/meta-releases-wonder-opens-spark/",
      "title": "The Batch (Andrew Ng): Meta Releases Wonder, Opens Spark: All about Muse Wonder (API), Muse Wonder Full (subscription), and Muse Spark Open (weights available)",
      "summary": "Meta marched all the way back to the AI frontier to offer a Muse model for everyone.",
      "date_published": "2026-10-23T15:00:00.000Z",
      "tags": [
        "community",
        "The Batch (Andrew Ng)"
      ],
      "authors": [
        {
          "name": "The Batch (Andrew Ng)"
        }
      ]
    },
    {
      "id": "6ada6f539d8d710001dec52a",
      "url": "https://www.deeplearning.ai/the-batch/the-four-ps/",
      "title": "The Batch (Andrew Ng): The Four Ps — A Leadership Framework: How to Manage An AI-Native Engineering Team",
      "summary": "What should an engineering leader such as a VP Engineering or an Engineering manager do to help their team become more proficient in AI?",
      "date_published": "2026-10-23T14:30:00.000Z",
      "tags": [
        "community",
        "The Batch (Andrew Ng)"
      ],
      "authors": [
        {
          "name": "The Batch (Andrew Ng)"
        }
      ]
    },
    {
      "id": "6ada6f35a438b50001a256b0",
      "url": "https://www.deeplearning.ai/the-batch/issue-376/",
      "title": "The Batch (Andrew Ng): Meta’s Muse Wonder and Spark Open, Educational Use of ChatGPT, Reflection's Partnership with Nvidia",
      "summary": "The Batch News & Insights: What should an engineering leader such as a VP Engineering or an Engineering manager do to help their team become more proficient in AI?",
      "date_published": "2026-10-23T14:00:00.000Z",
      "tags": [
        "community",
        "The Batch (Andrew Ng)"
      ],
      "authors": [
        {
          "name": "The Batch (Andrew Ng)"
        }
      ]
    },
    {
      "id": "urn:latent-space:post:post_3049d28e-7e21-4f4e-9f4b-ff63b89ebd0d",
      "url": "https://latent.space/p/ainews-black-october/",
      "title": "Latent Space (swyx): [AINews] Black October",
      "summary": "the Cyber onslaught continues.",
      "date_published": "2026-10-23T10:09:29.000Z",
      "tags": [
        "community",
        "Latent Space (swyx)"
      ],
      "authors": [
        {
          "name": "Latent Space (swyx)"
        }
      ]
    },
    {
      "id": "https://www.latent.space/p/modal-d",
      "url": "https://latent.space/p/modal-d/",
      "title": "Latent Space (swyx): Why AI Compute Comes in Rectangles — Erik Bernhardsson, Modal CEO",
      "summary": "Elastic GPUs, sandbox growth, and the economics of the agent cloud",
      "date_published": "2026-10-22T17:40:57.000Z",
      "tags": [
        "community",
        "Latent Space (swyx)"
      ],
      "authors": [
        {
          "name": "Latent Space (swyx)"
        }
      ]
    },
    {
      "id": "https://www.latent.space/p/moshi",
      "url": "https://latent.space/p/moshi/",
      "title": "Latent Space (swyx): You are the Team — Anekha Sokhal, Moshi",
      "summary": "How Moshi turns market data into actionable insights, and why AI tools have to fit the trader’s workflow.",
      "date_published": "2026-10-22T14:03:40.000Z",
      "tags": [
        "community",
        "Latent Space (swyx)"
      ],
      "authors": [
        {
          "name": "Latent Space (swyx)"
        }
      ]
    },
    {
      "id": "https://www.latent.space/p/ainews-openais-patch-the-planet-program",
      "url": "https://latent.space/p/ainews-openais-patch-the-planet-program/",
      "title": "Latent Space (swyx): [AINews] OpenAI’s Patch the Planet program is 1 of 2 parties to discover PHP2Shell vulnerabilities in core PHP affecting 70% of the web, using GPT-5.6 Sol; coordinated response over 2 months",
      "summary": "The Big Hardening begins",
      "date_published": "2026-10-22T07:42:44.000Z",
      "tags": [
        "community",
        "Latent Space (swyx)"
      ],
      "authors": [
        {
          "name": "Latent Space (swyx)"
        }
      ]
    },
    {
      "id": "6ada49c89d8d710001dec511",
      "url": "https://www.deeplearning.ai/the-batch/minimaxs-m3-1-flash-cuts-prices/",
      "title": "The Batch (Andrew Ng): Minimax’s M3.1 Flash Cuts Prices: Critical PHP bug found by AI affects majority of web sites",
      "summary": "Mercury 3, diffusion-based alternative to Claude Haiku. d1-ultra, a highly accurate decision model. Using OpenAI’s models to rewrite and repair legacy code. llm-d, an all-around optimizer for serving open models.",
      "date_published": "2026-10-21T20:40:00.000Z",
      "tags": [
        "community",
        "The Batch (Andrew Ng)"
      ],
      "authors": [
        {
          "name": "The Batch (Andrew Ng)"
        }
      ]
    },
    {
      "id": "https://www.latent.space/p/claude-mods",
      "url": "https://latent.space/p/claude-mods/",
      "title": "Latent Space (swyx): Claude Mods: Flipping the Harness Inside Out",
      "summary": "Claude Mods is an early form of the Attention Interface. It flips the agent harness paradigm from the harness facing the machine, to the harness facing the human.",
      "date_published": "2026-10-21T13:04:19.000Z",
      "tags": [
        "community",
        "Latent Space (swyx)"
      ],
      "authors": [
        {
          "name": "Latent Space (swyx)"
        }
      ]
    },
    {
      "id": "https://www.latent.space/p/ainews-deepseek-deepinfer-open-source",
      "url": "https://latent.space/p/ainews-deepseek-deepinfer-open-source/",
      "title": "Latent Space (swyx): [AINews] DeepSeek DeepInfer: Open Source SOTA Inference running 155T toks/day/cluster making $22m/day at ~80% margin for a 81 day payback",
      "summary": "An open source “bomb” drops from China",
      "date_published": "2026-10-21T06:54:09.000Z",
      "tags": [
        "community",
        "Latent Space (swyx)"
      ],
      "authors": [
        {
          "name": "Latent Space (swyx)"
        }
      ]
    },
    {
      "id": "https://www.latent.space/p/tenex",
      "url": "https://latent.space/p/tenex/",
      "title": "Latent Space (swyx): AI for the Fortune 2000: How Tenex Builds an AI-Native SDLC — Alex Lieberman & CJ Hess",
      "summary": "Paying for outcomes, building with agents, and the last mile of enterprise AI adoption",
      "date_published": "2026-10-21T05:01:26.000Z",
      "tags": [
        "community",
        "Latent Space (swyx)"
      ],
      "authors": [
        {
          "name": "Latent Space (swyx)"
        }
      ]
    },
    {
      "id": "https://www.latent.space/p/sfcompute2",
      "url": "https://latent.space/p/sfcompute2/",
      "title": "Latent Space (swyx): The Programmable Data Center — Evan Conrad, SF Compute",
      "summary": "From GPU trading to physical settlement, independent markets, and programmable compute",
      "date_published": "2026-10-20T19:31:57.000Z",
      "tags": [
        "community",
        "Latent Space (swyx)"
      ],
      "authors": [
        {
          "name": "Latent Space (swyx)"
        }
      ]
    },
    {
      "id": "https://www.latent.space/p/ainews-not-much-happened-today-f09",
      "url": "https://latent.space/p/ainews-not-much-happened-today-f09/",
      "title": "Latent Space (swyx): [AINews] not much happened today",
      "summary": "Congrats to DeepSeek V4.1 Flash 1017, MiniMax M3.1 Flash, and Mercury 3 (details below) but they’re not going to be in super wide use just yet.",
      "date_published": "2026-10-20T05:21:52.000Z",
      "tags": [
        "community",
        "Latent Space (swyx)"
      ],
      "authors": [
        {
          "name": "Latent Space (swyx)"
        }
      ]
    },
    {
      "id": "6ada486c9d8d710001dec4ff",
      "url": "https://www.deeplearning.ai/the-batch/muse-spark-open-leads-u-s-open-models/",
      "title": "The Batch (Andrew Ng): Muse Spark Open leads U.S. open models: Reflection releases weights for Beam, a much-anticipated model",
      "summary": "Grok Voice 3.0 leads voice-to-voice benchmarks. Nvidia 3.5 Super VL is faster, more capable than Lightning. DeepSeek-V-4.1-Flash pushes strong update. Meta amends controversial Muse scraping terms.",
      "date_published": "2026-10-19T21:35:00.000Z",
      "tags": [
        "community",
        "The Batch (Andrew Ng)"
      ],
      "authors": [
        {
          "name": "The Batch (Andrew Ng)"
        }
      ]
    },
    {
      "id": "https://www.latent.space/p/ainews-high-taste-testers-ep-1",
      "url": "https://latent.space/p/ainews-high-taste-testers-ep-1/",
      "title": "Latent Space (swyx): [AINews] High Taste Testers Ep. 1",
      "summary": "a quiet day lets us pilot a new show",
      "date_published": "2026-10-17T07:47:38.000Z",
      "tags": [
        "community",
        "Latent Space (swyx)"
      ],
      "authors": [
        {
          "name": "Latent Space (swyx)"
        }
      ]
    },
    {
      "id": "6ace5ef23a889d0001158d8c",
      "url": "https://www.deeplearning.ai/the-batch/data-mixing-minus-the-guesswork/",
      "title": "The Batch (Andrew Ng): Data Mixing, Minus the Guesswork: Research from the team behind CausalMix offers a technique to select fine-tuning examples",
      "summary": "When you’re building a fine-tuning dataset, finding a mix of subject domains that yields a high-performing model can require expensive trial and error, because fine-tuned performance also depends on the quality of the individual examples.",
      "date_published": "2026-10-16T15:15:44.000Z",
      "tags": [
        "community",
        "The Batch (Andrew Ng)"
      ],
      "authors": [
        {
          "name": "The Batch (Andrew Ng)"
        }
      ]
    },
    {
      "id": "6ace5e0be1b17c0001fa49f0",
      "url": "https://www.deeplearning.ai/the-batch/computers-built-for-local-ai/",
      "title": "The Batch (Andrew Ng): Computers Built for Local AI: Apple’s Mac mini and Mac Studio have competition from Microsoft and Nvidia",
      "summary": "Developers have warmed to the economics and security of local models, either as an alternative or a complement to the cloud.",
      "date_published": "2026-10-16T15:10:27.000Z",
      "tags": [
        "community",
        "The Batch (Andrew Ng)"
      ],
      "authors": [
        {
          "name": "The Batch (Andrew Ng)"
        }
      ]
    },
    {
      "id": "6ace5c4fe1b17c0001fa49e0",
      "url": "https://www.deeplearning.ai/the-batch/mistrals-skills-match-its-global-appeal/",
      "title": "The Batch (Andrew Ng): Mistral’s Sovereign Appeal: Mistral Large 4, the leading European AI model, outperforms all open models outside of China",
      "summary": "Mistral’s latest model is its largest and most capable, and the most powerful yet released by a European company.",
      "date_published": "2026-10-16T15:05:12.000Z",
      "tags": [
        "community",
        "The Batch (Andrew Ng)"
      ],
      "authors": [
        {
          "name": "The Batch (Andrew Ng)"
        }
      ]
    },
    {
      "id": "6ace5f2b3a889d0001158d90",
      "url": "https://www.deeplearning.ai/the-batch/claude-fills-out-its-model-family/",
      "title": "The Batch (Andrew Ng): Claude Fills Out Its Model Family: Claude Sonnet 5.5 and Haiku 5.5 give developers fast, highly capable alternatives to Opus 5.5",
      "summary": "Claude Haiku, Anthropic’s fastest and least expensive model gets a long-awaited update.",
      "date_published": "2026-10-16T15:00:58.000Z",
      "tags": [
        "community",
        "The Batch (Andrew Ng)"
      ],
      "authors": [
        {
          "name": "The Batch (Andrew Ng)"
        }
      ]
    },
    {
      "id": "6ad13476eb5c2b000165d5c2",
      "url": "https://www.deeplearning.ai/the-batch/formal-verification-meets-unverifiable-judgement/",
      "title": "The Batch (Andrew Ng): Formal Verification Meets Unverifiable Judgement: Don’t Overgeneralize from Progress in Math and Code — The Hardest AI Problems Still Require More Work",
      "summary": "The gulf between LLM performance on verifiable tasks vs. unverifiable tasks that require judgement is larger than most people realize.",
      "date_published": "2026-10-16T14:30:41.000Z",
      "tags": [
        "community",
        "The Batch (Andrew Ng)"
      ],
      "authors": [
        {
          "name": "The Batch (Andrew Ng)"
        }
      ]
    },
    {
      "id": "6ad136eceb5c2b000165d5dd",
      "url": "https://www.deeplearning.ai/the-batch/issue-375/",
      "title": "The Batch (Andrew Ng): Claude Haiku 5.5, Mistral Large 4, and Local Models for Mac and Windows",
      "summary": "The Batch News & Insights: The gulf between LLM performance on verifiable tasks vs. unverifiable tasks that require judgement is larger than most people realize.",
      "date_published": "2026-10-16T14:00:12.000Z",
      "tags": [
        "community",
        "The Batch (Andrew Ng)"
      ],
      "authors": [
        {
          "name": "The Batch (Andrew Ng)"
        }
      ]
    },
    {
      "id": "https://www.latent.space/p/ainews-agents-disprove-polysemanticity",
      "url": "https://latent.space/p/ainews-agents-disprove-polysemanticity/",
      "title": "Latent Space (swyx): [AINews] Agents disprove Polysemanticity; greatly improve Interpretability & Alignment",
      "summary": "Nick Cammarata out of nowhere with some major claims!",
      "date_published": "2026-10-16T04:16:45.000Z",
      "tags": [
        "community",
        "Latent Space (swyx)"
      ],
      "authors": [
        {
          "name": "Latent Space (swyx)"
        }
      ]
    },
    {
      "id": "https://www.latent.space/p/ainews-modals-1b-arr-16b-series-d",
      "url": "https://latent.space/p/ainews-modals-1b-arr-16b-series-d/",
      "title": "Latent Space (swyx): [AINews] Modal’s $1B ARR, $16B Series D makes it NYC’s newest AI Infra Decacorn, 3x usage and 3x valuation in 5 months, 15x in 1 yr",
      "summary": "Sandboxes are all you need.",
      "date_published": "2026-10-15T10:08:08.000Z",
      "tags": [
        "community",
        "Latent Space (swyx)"
      ],
      "authors": [
        {
          "name": "Latent Space (swyx)"
        }
      ]
    },
    {
      "id": "https://www.latent.space/p/crossing-the-threshold",
      "url": "https://latent.space/p/crossing-the-threshold/",
      "title": "Latent Space (swyx): Crossing the Threshold: How OpenAI and Anthropic Approach Autonomy and Safety in Financial Agents",
      "summary": "At AI Engineer New York, frontier labs and financial firms explored how to give agents useful autonomy while keeping consequential decisions under control.",
      "date_published": "2026-10-14T21:40:52.000Z",
      "tags": [
        "community",
        "Latent Space (swyx)"
      ],
      "authors": [
        {
          "name": "Latent Space (swyx)"
        }
      ]
    },
    {
      "id": "https://www.latent.space/p/lab-in-the-loop-at-compute-speed",
      "url": "https://latent.space/p/lab-in-the-loop-at-compute-speed/",
      "title": "Latent Space (swyx): Lab-in-the-Loop at Compute Speed — Ian Quigley, Leash Bio",
      "summary": "How Leash Bio tamed DELs, the assay that traumatizes everyone, and used the data to catch cheating models. And why that same data is perfect for AI agents learning to think like chemists.",
      "date_published": "2026-10-14T20:35:09.000Z",
      "tags": [
        "community",
        "Latent Space (swyx)"
      ],
      "authors": [
        {
          "name": "Latent Space (swyx)"
        }
      ]
    },
    {
      "id": "6ad0fbb882061100014c6347",
      "url": "https://www.deeplearning.ai/the-batch/metas-muse-wonder-rivals-top-models/",
      "title": "The Batch (Andrew Ng): Meta’s Muse Wonder rivals top models: Inside Amazon’s warehouse robotics operations",
      "summary": "Microsoft says it will use own chips for Copilot, MAI. Gemini 4 Argon generally available. Python 3.15 is official, Python 3.10 no longer supported. Character.AI declares bankruptcy.",
      "date_published": "2026-10-14T19:17:00.000Z",
      "tags": [
        "community",
        "The Batch (Andrew Ng)"
      ],
      "authors": [
        {
          "name": "The Batch (Andrew Ng)"
        }
      ]
    },
    {
      "id": "https://www.latent.space/p/ainews-ai-engineer-nyc-gemini-4-argon",
      "url": "https://latent.space/p/ainews-ai-engineer-nyc-gemini-4-argon/",
      "title": "Latent Space (swyx): [AINews] AI Engineer NYC: Gemini 4 Argon, Vals AI Benchmarks",
      "summary": "Gemini 4 Argon went GA today, but we already gave it title story 2 weeks ago and most benchmarks, like CursorBench, simply independently confirm their claims.",
      "date_published": "2026-10-14T05:40:28.000Z",
      "tags": [
        "community",
        "Latent Space (swyx)"
      ],
      "authors": [
        {
          "name": "Latent Space (swyx)"
        }
      ]
    },
    {
      "id": "https://www.latent.space/p/dyna",
      "url": "https://latent.space/p/dyna/",
      "title": "Latent Space (swyx): Dyna-2: General Purpose Physical Agents with Hour-Long Autonomy — Jason Ma, Dyna Robotics",
      "summary": "Our first robotics pod with Dyna’s Chief Scientist on their big bet on World Action Models & the Next Frontier of Physical AI",
      "date_published": "2026-10-13T22:25:55.000Z",
      "tags": [
        "community",
        "Latent Space (swyx)"
      ],
      "authors": [
        {
          "name": "Latent Space (swyx)"
        }
      ]
    },
    {
      "id": "https://www.latent.space/p/ainews-meta-muse-wonder-and-wonder",
      "url": "https://latent.space/p/ainews-meta-muse-wonder-and-wonder/",
      "title": "Latent Space (swyx): [AINews] Meta Muse Wonder & Wonder Full: MSL’s Claude 5.5-tier Frontier Model",
      "summary": "MSL’s emergence as a frontier lab is finally complete.",
      "date_published": "2026-10-13T09:37:04.000Z",
      "tags": [
        "community",
        "Latent Space (swyx)"
      ],
      "authors": [
        {
          "name": "Latent Space (swyx)"
        }
      ]
    },
    {
      "id": "https://www.latent.space/p/claude-dynamic-workflows",
      "url": "https://latent.space/p/claude-dynamic-workflows/",
      "title": "Latent Space (swyx): How Anthropic’s Dynamic Workflows Coordinate Claude Agents (Updated with video!)",
      "summary": "At AI Engineer New York, Anthropic drew on lessons from Unix and Linux to explain how agents can tackle bigger projects without overwhelming developers.",
      "date_published": "2026-10-12T18:18:17.000Z",
      "tags": [
        "community",
        "Latent Space (swyx)"
      ],
      "authors": [
        {
          "name": "Latent Space (swyx)"
        }
      ]
    },
    {
      "id": "https://www.latent.space/p/nyc2026",
      "url": "https://latent.space/p/nyc2026/",
      "title": "Latent Space (swyx): [Subscriber Exclusive] NYC Subscriber Meetups!",
      "summary": "Tomorrow and Tuesday. If you see this you’re in!",
      "date_published": "2026-10-10T22:07:17.000Z",
      "tags": [
        "community",
        "Latent Space (swyx)"
      ],
      "authors": [
        {
          "name": "Latent Space (swyx)"
        }
      ]
    }
  ]
}