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📱 Google's new AI model runs on phones
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- Google released EmbeddingGemma 2, an open 740M-parameter embedding model that maps text, code, images, audio and video into one space and runs entirely on-device, needing about 191MB for text work on a Pixel 11 Pro.
- Only 270M parameters load for text, with the vision and audio encoders optional, and it handles 8,192 tokens per modality, four times the first version, or roughly five and a half minutes of audio.
- Licensed under Apache 2.0, it enables a retrieval pipeline with no network hop, and vectors can be cut to 128 dimensions for up to sixfold storage savings, though the model has had no safety tuning or moderation and performance varies across its many supported languages.
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🧮 OpenAI's math conquest rattles mathematicians
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- OpenAI released 722 math manuscripts from an unreleased internal model, with experts claiming it solves many of the field's top open problems, prompting one Anthropic researcher to call it "the most significant moment in mathematical history."
- The manuscripts, grouped into 372 families drawn from thousands of research problems, used an average of roughly three hours of ChatGPT Pro compute per result, including a claimed quasi-Riemann Hypothesis proof and integer multiplication faster than n log n.
- OpenAI consulted the Institute for Advanced Study's advisory group on release, and the model stays private, though results are reported by individual commentators and remain unverified, with one critic expecting some not to survive scrutiny.
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🍌 Google's Nano Banana 2.1 costs half as much
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- Google released Nano Banana 2.1, the latest text-to-image and photo-editing model, with a standard 1K image through its API now costing $0.0336, roughly half of Nano Banana 2's $0.067, and it's rolling out across Gemini, Search's AI Mode and developer tools.
- It scored 1,050 ELO on overall text-to-image preference versus 990 for Nano Banana 2, handles up to 14 reference images while tracking four characters and ten objects, and outputs up to 4K in aspect ratios as wide as 8:1.
- Developers can tune how long it "thinks" before drawing and ground results in Google Search, while batch jobs cut cost another 50%, though a 4K image still runs $0.0756 against a standard 1K's $0.0336.
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🇪🇺 Mistral unveils "le Chonk" open AI model
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- Mistral released a preview of Large 4, a 1T-parameter open-weight model nicknamed "Le Chonk," which the company claims is the strongest open system outside China, available via its API today with weights to follow on October 27.
- The multimodal model activates just 49B of its trillion parameters per task and leads on agentic coding, scoring 62% on DeepSWE, narrowly ahead of Zhipu's GLM-5.3, while its vision grounding edged out GPT-6 Astra on the DIOR-RSVG test.
- Once weights ship, banks and governments can run Large 4 on their own machines for daily security scanning that closed US models often price out or refuse, though all current benchmark numbers are preliminary and expected to change before release.
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🤖 Meta, Sierra launch AI agent sign-in standard
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- Meta and Sierra, with partners including Walmart and Stripe, unveiled the Personal Agent Protocol yesterday, a proposed open standard for how personal AI agents authenticate and get permissions when acting on behalf of users at businesses.
- Sessions run on OAuth: an agent starts on a company's site, may begin as a guest, and gains account access only once the customer signs in and grants read-only or write access, with the business setting what the agent can do.
- The v0.1 spec is due later this month, but no specification, license, or governing body has been published yet, and OpenAI and Anthropic are absent from the partner list despite Sierra chair Bret Taylor expecting them to join.
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