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<title>AI News: The Batch (Andrew Ng)</title>
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<item><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</title><link>https://www.deeplearning.ai/the-batch/a-single-decoder-turns-small-models-into-action/</link><guid isPermaLink="false">6ad930af04046100012d200c</guid><pubDate>Fri, 23 Oct 2026 15:15:00 GMT</pubDate><category>community</category><description>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.</description></item>
<item><title>The Batch (Andrew Ng): Nvidia Courts A New Partner: Reflection releases Beam, an open weight model from an independent U.S.-based lab</title><link>https://www.deeplearning.ai/the-batch/nvidia-courts-a-new-partner/</link><guid isPermaLink="false">6ad9300904046100012d2005</guid><pubDate>Fri, 23 Oct 2026 15:10:00 GMT</pubDate><category>community</category><description>Reflection AI, a closely-watched, Nvidia-backed U.S. startup, announced its first model.</description></item>
<item><title>The Batch (Andrew Ng): ChatGPT for Teens Gets a Report Card: OpenAI adds features for youths as studies doubt program&apos;s safety and educational impact</title><link>https://www.deeplearning.ai/the-batch/chatgpt-for-teens-gets-a-report-card/</link><guid isPermaLink="false">6ad92a659f1f3400019b1b50</guid><pubDate>Fri, 23 Oct 2026 15:05:00 GMT</pubDate><category>community</category><description>OpenAI announced that it would add college-planning and study tools to its under-18 experience.</description></item>
<item><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)</title><link>https://www.deeplearning.ai/the-batch/meta-releases-wonder-opens-spark/</link><guid isPermaLink="false">6ad926ff9f1f3400019b1b42</guid><pubDate>Fri, 23 Oct 2026 15:00:00 GMT</pubDate><category>community</category><description>Meta marched all the way back to the AI frontier to offer a Muse model for everyone.</description></item>
<item><title>The Batch (Andrew Ng): The Four Ps — A Leadership Framework: How to Manage An AI-Native Engineering Team</title><link>https://www.deeplearning.ai/the-batch/the-four-ps/</link><guid isPermaLink="false">6ada6f539d8d710001dec52a</guid><pubDate>Fri, 23 Oct 2026 14:30:00 GMT</pubDate><category>community</category><description>What should an engineering leader such as a VP Engineering or an Engineering manager do to help their team become more proficient in AI?</description></item>
<item><title>The Batch (Andrew Ng): Meta’s Muse Wonder and Spark Open, Educational Use of ChatGPT, Reflection&apos;s Partnership with Nvidia</title><link>https://www.deeplearning.ai/the-batch/issue-376/</link><guid isPermaLink="false">6ada6f35a438b50001a256b0</guid><pubDate>Fri, 23 Oct 2026 14:00:00 GMT</pubDate><category>community</category><description>The Batch News &amp; 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?</description></item>
<item><title>The Batch (Andrew Ng): Minimax’s M3.1 Flash Cuts Prices: Critical PHP bug found by AI affects majority of web sites</title><link>https://www.deeplearning.ai/the-batch/minimaxs-m3-1-flash-cuts-prices/</link><guid isPermaLink="false">6ada49c89d8d710001dec511</guid><pubDate>Wed, 21 Oct 2026 20:40:00 GMT</pubDate><category>community</category><description>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.</description></item>
<item><title>The Batch (Andrew Ng): Muse Spark Open leads U.S. open models: Reflection releases weights for Beam, a much-anticipated model</title><link>https://www.deeplearning.ai/the-batch/muse-spark-open-leads-u-s-open-models/</link><guid isPermaLink="false">6ada486c9d8d710001dec4ff</guid><pubDate>Mon, 19 Oct 2026 21:35:00 GMT</pubDate><category>community</category><description>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.</description></item>
<item><title>The Batch (Andrew Ng): Data Mixing, Minus the Guesswork: Research from the team behind CausalMix offers a technique to select fine-tuning examples</title><link>https://www.deeplearning.ai/the-batch/data-mixing-minus-the-guesswork/</link><guid isPermaLink="false">6ace5ef23a889d0001158d8c</guid><pubDate>Fri, 16 Oct 2026 15:15:44 GMT</pubDate><category>community</category><description>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.</description></item>
<item><title>The Batch (Andrew Ng): Computers Built for Local AI: Apple’s Mac mini and Mac Studio have competition from Microsoft and Nvidia</title><link>https://www.deeplearning.ai/the-batch/computers-built-for-local-ai/</link><guid isPermaLink="false">6ace5e0be1b17c0001fa49f0</guid><pubDate>Fri, 16 Oct 2026 15:10:27 GMT</pubDate><category>community</category><description>Developers have warmed to the economics and security of local models, either as an alternative or a complement to the cloud.</description></item>
<item><title>The Batch (Andrew Ng): Mistral’s Sovereign Appeal: Mistral Large 4, the leading European AI model, outperforms all open models outside of China</title><link>https://www.deeplearning.ai/the-batch/mistrals-skills-match-its-global-appeal/</link><guid isPermaLink="false">6ace5c4fe1b17c0001fa49e0</guid><pubDate>Fri, 16 Oct 2026 15:05:12 GMT</pubDate><category>community</category><description>Mistral’s latest model is its largest and most capable, and the most powerful yet released by a European company.</description></item>
<item><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</title><link>https://www.deeplearning.ai/the-batch/claude-fills-out-its-model-family/</link><guid isPermaLink="false">6ace5f2b3a889d0001158d90</guid><pubDate>Fri, 16 Oct 2026 15:00:58 GMT</pubDate><category>community</category><description>Claude Haiku, Anthropic’s fastest and least expensive model gets a long-awaited update.</description></item>
<item><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</title><link>https://www.deeplearning.ai/the-batch/formal-verification-meets-unverifiable-judgement/</link><guid isPermaLink="false">6ad13476eb5c2b000165d5c2</guid><pubDate>Fri, 16 Oct 2026 14:30:41 GMT</pubDate><category>community</category><description>The gulf between LLM performance on verifiable tasks vs. unverifiable tasks that require judgement is larger than most people realize.</description></item>
<item><title>The Batch (Andrew Ng): Claude Haiku 5.5, Mistral Large 4, and Local Models for Mac and Windows</title><link>https://www.deeplearning.ai/the-batch/issue-375/</link><guid isPermaLink="false">6ad136eceb5c2b000165d5dd</guid><pubDate>Fri, 16 Oct 2026 14:00:12 GMT</pubDate><category>community</category><description>The Batch News &amp; Insights: The gulf between LLM performance on verifiable tasks vs. unverifiable tasks that require judgement is larger than most people realize.</description></item>
<item><title>The Batch (Andrew Ng): Meta’s Muse Wonder rivals top models: Inside Amazon’s warehouse robotics operations</title><link>https://www.deeplearning.ai/the-batch/metas-muse-wonder-rivals-top-models/</link><guid isPermaLink="false">6ad0fbb882061100014c6347</guid><pubDate>Wed, 14 Oct 2026 19:17:00 GMT</pubDate><category>community</category><description>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.</description></item>
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