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Nvidia releases Nemotron 3.5 Bolt, a 4GB model aimed at local agents and robots
Nvidia has released Nemotron 3.5 Bolt E4B, an open small model that runs in about 4GB of memory. It is built from Google's Gemma 4 E4B with Nvidia's post-training and targets on-device AI on hardware such as GeForce RTX and Jetson. Its average agent-benchmark score is about 40% higher than Nemotron 3 Nano 4B, and it led in 15 of 21 benchmarks. With reasoning on, output tokens drop by up to 80%. On the Tau2-Bench tool-use test, however, Bolt scored 55.1 against Qwen3.5-4B's 75.1.
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r/opensource just banned AI, non-English speakers, and more
The moderators of Reddit's r/opensource posted new rules on Saturday evening opening with: "If your project uses AI, is made by AI, or is intended for AI, it's not welcome." Submitted projects must also be at least a year old, actively maintained, and have multiple contributors. The rules effectively bar non-English speakers, saying mods cannot distinguish AI-written from AI-translated text. The comments erupted, and a rival subreddit, r/trueopensource, was created.
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Moonshot AI launches new flagship Kim K3.1 Pro model with 3T parameters
Chinese AI company Moonshot AI launched Kimi K3.1 Pro, a post-trained upgrade of the Kimi K3 it released in July. It scored 65.7% on Terminal-Bench 4.0, which tests work done in a command-line terminal, more than 7 points ahead of OpenAI's GPT-6 Astra and slightly behind Anthropic's Claude Opus 5.5. On the financial-analysis test OfficeQA Pro v2 it beat both. Moonshot plans to release the model weights by November 4; for now it is available only through Moonshot's paid cloud services.
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Recursive launches Flint, a laptop coding model it says was largely built by AI
Recursive, a startup trying to build AI that improves itself, released its first model, Flint, on Wednesday. It is a free coding model that runs on a laptop and was built largely with the help of the company's automated research system, the Eureka Machine, letting a small team build it from scratch in under four months. It is a mixture-of-experts (MoE) model that uses only 2.5 billion of its 40 billion parameters at a time, while Meta's Muse Spark Open, released the week before, has 816 billion parameters and needs at least a terabyte of memory. On a MacBook Pro with Apple's M4 Pro chip, the company says Flint generated about 131 tokens per second, roughly twice the 58 to 69 that similar models managed. It is free to download on Hugging Face under the Apache 2.0 license.
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Google has joined Amazon in attacking Nvidia’s stronghold with AI app developers
Google released TorchTPU on October 20, an open-source project that lets apps built on the AI toolkit PyTorch run on its own AI chips, TPUs. Existing apps can move to TPUs and Google Cloud with a configuration change instead of a rewrite, according to the report. A day earlier Amazon released TorchNeuron, the same idea for its Trainium chip. Google worked directly with Meta, Hugging Face, Inferact (maker of vLLM), and RadixArk (maker of SGLang), and posted a TPU agent suite on GitHub to help developers move apps and fix errors.
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DeepSeek releases updated V4.1-Flash model it says completes tasks faster
DeepSeek released DeepSeek-V4.1-Flash-1017, an updated V4.1-Flash that it says completes tasks faster. The model card calls it a “minor update” that reduces task execution time and output length, without saying by how much. In DeepSeek’s own testing it resolved 77% of tasks on the DeepSWE v1.1 software engineering test, up from 74.2% for the September version; Claude Opus 5 sits at 74% in the same table. Seven of the 11 benchmarks DeepSeek published still go to Anthropic’s model.
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Meta launches an open-weight AI model that runs on Macs
Meta released Muse Spark Open, an 816-billion-parameter open-weight model it calls the most capable open-weight model in the United States. Its context window, the amount of text it can read at once, is 1 million tokens, and it is built for coding and agent work. TechCrunch, citing Engadget, says running it locally takes at least 1 terabyte of RAM. According to AI Times, Meta worked with Apple to tune it for two Mac Studio machines linked together.
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OpenAI and Anthropic warn Chinese open models leave a hole in cybersecurity
Executives from OpenAI and Anthropic warned on the 14th at an international AI summit in Dublin that Chinese open models heighten cybersecurity risk. According to Bloomberg, OpenAI CFO Sarah Friar said companies adopting Chinese models should weigh safety and security, and that Western models are preferable on cybersecurity. Anthropic's head of international business Guillaume Princen said open models carry inherently more risk.
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Nvidia reportedly in early talks to buy, acqui-hire or invest more in Reflection AI
Nvidia is in early talks to acquire open-weight model developer Reflection AI or increase its investment, the Financial Times reported. A deal could come within weeks, but the talks could still collapse. The FT described three possible structures: an outright purchase, a bigger stake possibly paired with more chips and computing power, or an acqui-hire in which Nvidia hires the staff and licenses the technology without taking control, a route that would likely avoid a lengthy regulatory review, SiliconANGLE reported.
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Learning to use local AI is exciting, overwhelming, and frustrating
A Verge laptop reviewer has begun a diary series on using local AI, installing the open-source agent app Hermes on an M5 Ultra Mac Studio with 256GB of unified memory. He picked Qwen 3.8 Flash Next, a model with 125 billion parameters and about 105GB in size. He controls Hermes from his phone through a Telegram bot, has it generate a morning briefing from his email and calendar, and had it sort a library of more than 400 Steam games by genre.
October 20268
- Anthropic launches a free AI scanner for open-source projects ↗
- EmbeddingGemma 2: an open, lightweight multimodal embedding model ↗
- Mistral Says Its New AI Model ‘Le Chonk’ Is the Best Open-Weight Offering Outside of China ↗
- Google froze its open source bug bounty program due to a ‘significant rise’ in AI submissions ↗
- NASA and IBM's open source lunar model turns 17 years of orbiter data into a foundation for lunar science ↗
- Meta wants your next gadget to be Muse-infused ↗
- Anthropic warns of hacking risk in China's open-weight GLM-5.3, says it rivals Claude Mythos ↗
- Satellite and robot control blocked too: developers leave as OpenAI and Anthropic safeguards misfire ↗
September 20264
- Xiaomi's affordable flagship AI leads the open models, and Anthropic says Claude helped get it there ↗
- Salesforce and Nvidia's new reasoning model is everything the AI labs should fear ↗
- Iris-mini and Iris-pro are the strongest open-weight search agents in their class ↗
- Nvidia buys Hugging Face, the GitHub of AI, for $13 billion ↗
August 202622
- How to Run a Chatbot on Your Own Computer ↗
- Report: Nvidia to acquire AI model repository Hugging Face for $13 billion ↗
- 'Uncensored' Qwen 3.8 Now Runs on a MacBook, No Nvidia GPU Required ↗
- Hugging Face reportedly in talks to be acquired for $13B ↗
- The Powerful Chinese AI Model Experts Warned About Is Here ↗
- China's GLM-5.3 finds serious security flaw in Cursor, proving AI's offensive security chops ↗
- Chinese AI takes over Hugging Face: Qwen tops 2 billion downloads, 150,000 derivative models ↗
- Alibaba releases 'Qwen3.8-Max' weights, requiring a license for commercial use ↗
- Alibaba releases 'Qwen3.8-27B' weights, claiming Claude Opus 4.6-level performance ↗
- Tech Visionary Says the Big AI Labs Don't Get What People Want ↗
- GLM-5.3 is here with advanced cyber capabilities — and reportedly already found a 'serious vulnerability' in Cursor ↗
- Meta's 'open' AI, and a $250M deal gone very wrong ↗
- With new open models, Meta pitches another reboot of its struggling AI strategy ↗
- Meta's new Glimmer AI model offers a hint at Zuckerberg's personal intelligence vision ↗
- Google Unveils Gemma Translator, an AI Translator That Works Without Internet ↗
- DeepMind's hurricane breakthrough has surprised weather scientists ↗
- Meet Shepherd: An Open-Source Python Substrate That Lets Meta-Agents Fork, Replay, and Revert Any Agent Run ↗
- Mistral AI Releases Shieldstral 1.0 3B: An Open-Weights Policy-Adaptive Multimodal Safety Classifier Matching Models 7× Its Size ↗
- One of China’s Most Powerful AI Models Has Also Escaped Containment ↗
- China’s Alibaba takes another swipe at America’s AI supremacy ↗
- AMD Releases Instella-MoE-16B-A3B: A Fully Open Mixture-of-Experts LLM With 2.8B Active Parameters Trained On Instinct GPUs ↗
- MiniMax Releases MiniMax H3: An Omni-Modal Video Model That Generates 15-Second 2K Clips With Native Stereo Audio ↗
July 20262
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