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今天10月7日周三45 条
  1. The Decoder

    Researchers stretch LeCun's JEPA AI into a universal world model that works from physics to biology

    Researchers at PhAI Labs have expanded Yann LeCun's JEPA architecture to work across seven fields, from robotics to biomedicine. The effort also produced a liver cancer treatment candidate that showed promise in lab tests, though the study doesn't establish whether it could become an actual therapy. The article Researchers stretch LeCun's JEPA AI into a universal world model that works from physics to biology appeared first on The Decoder .

  2. The Verge · AI

    Sam Altman says ‘some bad things’ will happen, but AI is totally worth it

    Sam Altman thinks that the benefits of AI will be so great that "the world should accept some bad things happening" along the way. The OpenAI CEO pointed to hacks, scams, and "other bad things" as costs society should expect to tolerate because "people will do tremendously orders of magnitude more good stuff" with AI, […]

  3. IT之家

    小米米家智能晾衣机 3 Max 今日开售:首创柔烘除菌专区,首发国补价 2699 元

    IT之家 10 月 7 日消息,米家智能晾衣机 3 Max 今日 20:00 正式开售,首发国补价 2698.75 元。 京东 米家【重磅新品】电动晾衣架 3 Max 柔烘除菌超薄隐形阳台智能升降晾衣机 2698.75 元 直达链接 该机是米家首款柔烘除菌晾衣机,首创米家半封闭式柔烘专区。衣物平铺在晾晒网上后,启动干衣或除菌功能时,晾杆组件自动上升贴近风口,形成半封闭柔烘专区,通过热风循环锁温实现更快干衣与除菌。 据介绍,柔烘专区支持标准烘、智能烘、柔护风三种模式。标准烘以均匀热风快速干衣,智能烘通过湿度感应自动调节风温,柔护风以自然风呵护娇贵衣物。三种模式均需通过米家 App 调控。 官方称,该机干衣效率相比自然晾干提升约 5 倍。其配备 770mm 超长出风口,支持 1250W 稳定热风,同时提供 10W 节能自然风,可在阴雨天气驱散潮气、减少异味。 健康防护方面,晾晒网含抗菌成分,抗菌率 99%。启动除菌功能后,出风口释放高浓度等离子,实现 24 小时防护。产品已通过中家院母婴家电评价权威检测认证。 晾晒布局提供 5 大分区,总长 2.4 米,可同时晾晒 80 件大衣或 2 床厚被褥,额定承重 45 千克。另设平置晾晒平台,减少弯腰取衣频次。 照明方面,底部配备 42 英寸超大灯板,支持 2700K 至 5700K 色温调节和亮度无级调节,显色指数 Ra95,符合 RG0 无蓝光危害标准。支持 24GHz 毫米波人感照明,人来灯亮、离开延时熄灭。 该机整机收起厚度仅 9cm,采用一体化纯平造型和隐藏式滑动出风口,提供白色简雅、极地灰两种配色。支持明装和嵌入式留槽安装,适配多种吊顶环境。 智能体验方面,该机支持小米澎湃智联,已接入小米智能生态,可与洗衣机联动。用户可通过米家 APP 自定义升降时间与高度,最大升降约 1.3 米,并支持小爱同学语音控制。 安全与品质方面,该机搭载低噪直流电机,历经 6000 次 45 千克满负荷耐久测试,升级 2.0mm 钢丝绳。提供过载监测超重停机、下降遇阻即停、二级限位防碰撞等多重保护。 IT之家附详细参数如下: 京东 米家【重磅新品】电动晾衣架 3 Max 柔烘除菌超薄隐形阳台智能升降晾衣机 2698.75 元 直达链接 2026 年数码家电政府补贴持续进行中,IT 之家为大家汇总国补领券地址,买数码家电之前记得领取。 数码补贴: 点此领券 手机 / 平板 / 3C 数码支持 8.5 折政府补贴,不超过 6000 元的产品至高立减 500 元。 家电补贴: 点此领券 多类家电支持 8.5 折政府补贴,单品至高补贴 1500 元。

  4. Simon Willison

    EmbeddingGemma 2

    My comment on EmbeddingGemma 2 — Hacker News. I really appreciate that EmbeddingGemma 2 is under the Apache 2.0 license. For embedding models in particular, I don't think it makes sense to use a closed, proprietary, hosted-only model. Most applications of embedding models involve calculating thousands or even millions of embedding vectors and storing them for later comparison. If your model is proprietary, the vendor is likely someday going to decide to stop offering that model. They'll have a better model to replace it, but you still need to pay to re-calculate those millions of stored existing vectors. (In April 2024 OpenAI offered to "cover the financial cost of users re-embedding content with these new models" - https://openai.com/index/gpt-4-api-general-availability/ - but I don't think that's something we can rely on from every provider.) Notably, I don't want to host the model myself . I'd much rather pay a provider for a hosted model while knowing that if they ever stop hosting it I can run the open weights version myself - or find another vendor who can do that for me. Tags: google , ai , generative-ai , embeddings , gemma

  5. Simon Willison

    Introducing Mistral Large 4: Le chonk

    Introducing Mistral Large 4: Le chonk Mistral are back in the game. Today they're releasing a preview of Mistral Large 4, a 1 trillion parameter, 49 billion active parameter model trained on their own cluster of 3,800 NVIDIA Grace Blackwell GPUs. The preview is available via their API. They promise to release the open weights model at the "end of this month". The model only supports two reasoning levels - "none" and "high" - via the Mistral API. Here are both pelicans - the "high" one looks better, though surprisingly it only used 2,717 output tokens compared to "none" which used 3,275: On Artificial Analysis it scores 38 , just behind DeepSeek 4.1 Flash, which is a 552B model. It's a huge improvement on last December's Mistral Large 3, which drew this terrible pelican and scored 9 on AA . It's certainly not a Fable-class model, but it's great to see Mistral put out a model that's back to being maybe about 6 months behind the frontier. Via Hacker News Tags: ai , generative-ai , llms , mistral , pelican-riding-a-bicycle , llm-release

  6. The Decoder

    Google claims EmbeddingGemma 2 outperforms rival embedding models twice its size

    Google released EmbeddingGemma 2, an open model with 740 million parameters that converts text, images, video, audio, and code into vectors. It runs on-device, needs only about 191 MB of RAM, and outperforms some competing models twice its size, according to Google. Paired with a small open model like Gemma 4, it can run offline RAG apps without sending data to external servers. The article Google claims EmbeddingGemma 2 outperforms rival embedding models twice its size appeared first on The Decoder .

  7. The Decoder

    Google's new image model Nano Banana 2.1 generates better images for less money

    Google's new Nano Banana 2.1 image model uses Gemini 3.6 Flash and beats the previous Pro model in some benchmarks at a lower cost. But its predecessor also scored well in tests, while Pro often produced better images in practice. The article Google's new image model Nano Banana 2.1 generates better images for less money appeared first on The Decoder .

  8. AWS Machine Learning Blog

    Building a context-aware AI assistant on AgentCore and OpenClaw

    Off-the-shelf AI assistants forget you between conversations. This post shows how to build a personal assistant that accumulates context using OpenClaw on Amazon Bedrock AgentCore runtime, with AgentCore memory turning disposable chats into durable, structured knowledge you can retrieve with metadata filters.

  9. Simon Willison

    Using Parseable with Datasette for OpenTelemetry traces

    TIL: Using Parseable with Datasette for OpenTelemetry traces I saw Parseable in a Show HN today - it's a new observability platform with both an open source (AGPL) Rust implementation (a single ~180MB binary), an "Enterprise" version with extra features and a cloud hosted option. Since Datasette 1.0a41 added OpenTelemetry support (thanks, Alex Garcia), I decided to fire up Codex and have it figure out how to run Parseable and feed it traces from Datasette. Here's my (human-written) TIL showing the patterns that worked, and here's a screenshot of a Datasette trace displayed within the Parseable localhost web application: Tags: datasette , observability , alex-garcia , opentelemetry

  10. Claude Code:GitHub Releases

    v2.1.292

  11. The Decoder

    Wikimedia confirms OpenAI's rogue AI agents edited wikis, tried to compromise tools, and hammered its infrastructure

    According to the Wikimedia Foundation, rogue OpenAI agents edited wikis without permission, tried to abuse a citation tool as a proxy, and may have caused a partial Wikidata Query Service outage through massive crawling. Wikimedia says AI companies need to take responsibility for their agents instead of pushing the burden onto volunteer editors. The article Wikimedia confirms OpenAI's rogue AI agents edited wikis, tried to compromise tools, and hammered its infrastructure appeared first on The Decoder .

  12. Simon Willison

    Mistral Large 4

    My comment on Mistral Large 4 — Hacker News. wren6991 : The benchmark is saturated. Frontier models are tested with an armadillo in fishnet tights jaywalking on Mars. OK well I couldn't resist this one: llm -m claude-opus-5.5 'Generate an SVG of an armadillo in fishnet tights jaywalking on Mars' llm -m gpt-6.1-sol 'Generate an SVG of an armadillo in fishnet tights jaywalking on Mars' llm -m gemini-3.8-flash 'Generate an SVG of an armadillo in fishnet tights jaywalking on Mars' llm -m mistral/mistral-large-4 'Generate an SVG of an armadillo in fishnet tights jaywalking on Mars' Default reasoning levels for each: https://tools.simonwillison.net/markdown-svg-renderer?url=ht...

  13. The Decoder

    Microsoft publishes Nobel economist's bearish AI forecast of just 1.5% GDP growth over a decade

    Microsoft published a bearish AI outlook from Nobel economist Daron Acemoglu. He predicts about 1.5 percent GDP growth over ten years and at most five percent of jobs replaced. Bigger models won't move the needle, he argues. What's missing are practical apps that change how work gets done. The article Microsoft publishes Nobel economist's bearish AI forecast of just 1.5% GDP growth over a decade appeared first on The Decoder .

  14. MarkTechPost

    Mistral AI Releases Mistral Large 4 (Le Chonk): A 1.05T Parameter Multimodal MoE Model

    Mistral AI has released Mistral Large 4, nicknamed Le Chonk, as a public preview. It is a 1.05 trillion parameter Mixture of Experts model with 49 billion active parameters, native image input, and a 1 million token context window, trained on 3,800 NVIDIA Grace Blackwell GPUs in Mistral's own European datacenters. The API is live now; open weights ship end of October 2026. The post Mistral AI Releases Mistral Large 4 (Le Chonk): A 1.05T Parameter Multimodal MoE Model appeared first on MarkTechPost .

  15. The Verge · AI

    We can’t just change the definition of ‘recording’

    With AI hardware, tech companies are pushing the definition of what does and doesn't constitute a recording. For most of gadget history, it'd be reasonable to assume that a device with a microphone or camera is either recording you or it isn't; it's either on or off, without much gray area. Microphones capture sound. Cameras […]