2026-10-29 AI 日报

Covers pre-training data, Tokenizer, Transformer, MoE,distributed training, Scaling Laws, inference & alignment .6 progressive code assignments for full-stack…

Open-source AI coworkers that each get a computer of their own: a browser, files and tools, with every action decided before it happens and recorded after.…

Turn Claude Code into a full game dev studio — 49 AI agents, 72 workflow skills, and a complete coordination system mirroring real studio hierarchy.

Open-source Grok Bot alternative with a virtual machine that bots can use

Autonomous AI sales agent powered by Claude Code or Codex. Finds prospects, writes cold emails, sends campaigns, handles replies, books meetings. No API keys…

DeepTutor: Lifelong Personalized Tutoring. https://deeptutor.info/.

A local-first desktop workspace for persistent AI teammates. Run Codex, Claude, and Grok with dedicated workspaces, task queues, file sharing, browser…

The best-benchmarked open-source AI memory system. And it's free.

DeepSeek Harness: Everything is a Plugin.

Persistent Context Across Sessions for Every Agent – Captures everything your agent does during sessions, compresses it with AI, and injects relevant context…

Streaming audio-visual target speaker extraction (AVTSE) is essential for latency-sensitive applications. However, current causal systems face two coupled…

Diffusion language models (DLMs) generate text through iterative denoising, enabling bidirectional context modeling and parallel token refinement. Recent…

Generating videos of a specific subject from a few reference images remains challenging when the camera reveals surfaces that are not visible in the input.…

Robot foundation models are typically evaluated through costly closed-loop rollouts, motivating low-cost offline proxies for model capability. The Platonic…

Agentic services alternate between model inference on clustered GPUs and external tools on distributed CPUs. In this scenario, existing systems (1) overlook…

Computer-use agents (CUAs) are commonly evaluated against fixed task specifications, but users may omit requirements, add constraints, or require approval…

Many Indian banks serve customers through FAQ pages and scripted chatbots. Assistants based on language models could respond faster and carry out requests…

Command-line interface (CLI) agents increasingly execute longer-horizon tasks, yet existing benchmarks either assume that user instructions remain fixed…

Reinforcement learning (RL) is an effective way to strengthen the long-context reasoning of large language models (LLMs), but it needs training data that are…

Despite their extensive pretraining knowledge and strong reasoning capabilities, large language models (LLMs) struggle to adaptively gather information in…

Mistral released Mistral Large 4 (Le Chonk), a 1-trillion-parameter multimodal model, now available with improved coding, cybersecurity, and reasoning…

Instead of trying to run DOOM on things, I have instead decided to use DOOM (many, many, many doom games actually) to create a transformer. For a lot of the…

Hi HN, we're Ahnaf and Seungmin from Simantic (https://simantic.com). We are building the simulation layer that lets engineers and AI agents test and validate…

Day 25/ We are doubling all usage limits for all Pro 100/200/500 tiers and Business Premium, effective today. We heard your kind feedback and won’t be…

Part 2 of my agent test (part 1 was a 4B model) Hardware I used: MacBook Pro M5 Max, 64 GB. Qwen 3.8 27B Q4 on llama.cpp, thinking off. Setup same model and…

There’s a lot of hype right now around decision models like Jev. But in most real use cases, you have some labeled data, and can use it to personalize your…

I built Arc-Transcriber, which does ASR-NL in 1-step. Every 100 ms, one model returns the transcript plus: - Names linked to a list you give it (a roster,…

3 days ago, u/Cohere generated a huge amount of media attention and many fear-mongering headlines by publishing a largely unscientific blog post about an…

Got headhunted by a VC-backed AI-focused company, ended up skipping past two levels of their application/interview process because of that. Got 15 minute call…

Sam Altman: “ Local inference is a terrible allocation of scarce resources. A lot of people want local inference, and somehow they assume that the problem is…

I built TKintegers, a balanced-ternary weight representation, converter, and GPU inference implementation. The result that stood out to me: the NVIDIA L4 has…

Credit: kloss_xyz on Twitter

The weights of Mistral Large 4 (Le Chonk) are now open. A 1T parameter multimodal model, and best open-weight model for coding, trained in Europe.

CodeRabbit uses GPT-6.1 Sol to investigate security risks across complex codebases. Its security agent helps developers review findings and proposed fixes.

We’ve launched the Usage and Cost Analytics API in beta with the analytics-usage-cost-2026-08-24 beta header. Its /v1/organizations/analytics/usage and…

The Usage and Cost API is now a legacy API, and so are the usage_report, cost_report, user_usage_report, and user_cost_report endpoints of the Claude…

New Features Added keyboard-driven transcript selection with word, line, and page motions, integrated search, and configurable shortcuts. (#57221, #57222,…

Genie 4: our new world model unlocking unprecedented realism in real-time simulation.

OpenAI shares model results on the Kakeya conjecture, Exponential Time Hypothesis, and quantum chromodynamics—and how researchers can verify and build on them.

See Google A2Ui in action! Learn how to natively render agentic UIs across Langchain, AWS Strands, Microsoft agents, and Google ADK using CopilotKit SDKs for…

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