Anthropic, China, Copilot, Gemini Agents

Anthropic, China, Copilot, Gemini Agents

Send us Fan Mail [https://www.buzzsprout.com/2614078/fan_mail/new] Anthropic, China, Copilot, Gemini Agents ANTHROPIC, CHINA, COPILOT, GEMINI AGENTS * Claude's hidden inner monologue is now readable thanks to Anthropic's new Jacobian Lens [https://the-decoder.com/claudes-hidden-inner-monologue-is-now-readable-thanks-to-anthropics-new-jacobian-lens] * Copilot goes cheap as Microsoft phases out OpenAI and Anthropic models to cut costs [https://the-decoder.com/copilot-goes-cheap-as-microsoft-phases-out-openai-and-anthropic-models-to-cut-costs] * China eyes export curbs on its top AI models, and Europe is caught in the middle [https://the-decoder.com/china-eyes-export-curbs-on-its-top-ai-models-and-europe-is-caught-in-the-middle] * OpenAI and Anthropic are giving away millions in computing power to attract startups [https://the-decoder.com/openai-and-anthropic-are-giving-away-millions-in-computing-power-to-attract-startups] * Apollo economist warns AI profit gains outside tech could take "well beyond" what Wall Street expects [https://the-decoder.com/apollo-economist-warns-ai-profit-gains-outside-tech-could-take-well-beyond-what-wall-street-expects] * Anthropic's Claude Cowork AI agent is now available on mobile and web [https://the-decoder.com/anthropics-claude-cowork-ai-agent-is-now-available-on-mobile-and-web] * Expanding Managed Agents in Gemini API: background tasks, remote MCP and more [https://blog.google/innovation-and-ai/technology/developers-tools/expanding-managed-agents-gemini-api] * OpenAI Releases GPT-Realtime-2.1 and GPT-Realtime-2.1-mini for Low-Latency Voice Agents in the API [https://www.marktechpost.com/2026/07/06/openai-gpt-realtime-2-1-mini-reasoning-realtime-api] * Nemotron-Labs-Diffusion: A Tri-Mode Language Model Unifying Autoregressive, Diffusion, and Self-Speculation Decoding [https://huggingface.co/papers/2607.05722] * AlayaWorld: Long-Horizon and Playable Video World Generation [https://huggingface.co/papers/2607.06291]

Cloudflare, JADEPUFFER, Nvidia, LeRobot: AI Meets Its Plumbing

Send us Fan Mail [https://www.buzzsprout.com/2614078/fan_mail/new] Today’s episode: AI is moving from model-launch theater into the operating environment around it — permissions, tools, attackers, hardware bottlenecks, provenance, and physical-world constraints. Dreary, but at least the dashboards are cheerful enough for all of us. * Cloudflare splits AI bot controls [https://the-decoder.com/cloudflare-replaces-its-blanket-ai-bot-block-with-granular-controls-for-search-training-and-agent-crawlers] into search, training, and agent crawler categories, turning web access into a more explicit policy layer. * Sysdig describes JADEPUFFER [https://the-decoder.com/jadepuffer-is-the-first-agentic-ransomware-operation-and-it-exposes-old-security-sins-at-machine-speed] as agentic ransomware, showing how old credential, permission, and backup failures become worse at machine speed. * Epoch Capabilities Index coverage [https://the-decoder.com/gpt-4s-dominance-lasted-a-year-while-todays-top-models-barely-survive-seven-weeks-at-the-top] suggests frontier-model leadership now changes hands rapidly while capability margins shrink. * Tencent Hy3 [https://simonwillison.net/2026/Jul/6/hy3] adds a large Apache-licensed mixture-of-experts model to the Chinese open-model race. * Nvidia’s reported Kyber NVL144 delay [https://the-decoder.com/nvidias-kyber-nvl144-reportedly-pushed-back-more-than-a-year-asian-suppliers-drop] exposes circuit boards, racks, and manufacturing as hard AI scaling constraints. * Import AI on Fable writing GPU kernels [https://jack-clark.net/2026/07/06/import-ai-464-fables-writes-gpu-kernels-ai-automation-and-analog-computation] and Hugging Face Kernels updates [https://huggingface.co/blog/revamped-kernels] show that low-level optimization is becoming part of the AI automation loop. * China pushes ByteDance and Alibaba to shut down humanlike AI companion personas [https://the-decoder.com/china-forces-its-biggest-ai-platforms-to-shut-down-humanlike-chatbot-personas], making simulated intimacy a direct regulatory object. * Amazon closes Mechanical Turk to new customers [https://the-decoder.com/amazon-sunsets-mechanical-turk-the-original-artificial-artificial-intelligence], marking a quiet shift in the human labor layer behind automation. * Sean Goedecke on C2PA [https://seangoedecke.com/c2pa-only-works-if-everything-is-signed] argues provenance only works if signing becomes nearly universal. * LeRobot v0.6.0 [https://huggingface.co/blog/lerobot-release-v060], ChinaTalk on Unitree [https://www.chinatalk.media/p/the-robots-are-here], dense spatial perception research [https://huggingface.co/papers/2607.05247], Zhipu ZCode [https://the-decoder.com/zhipu-ai-launches-zcode-to-challenge-claude-code-and-openai-codex-at-a-fraction-of-the-cost], and small models in unreliable-network settings [https://spectrum.ieee.org/small-language-models-ai-pharmaceuticals] all point to AI value moving into deployment shape: local, cheap, evaluated, and physically competent enough not to fall over immediately.

Canada, LongCat, Baidu OCR, Seedance

Send us Fan Mail [https://www.buzzsprout.com/2614078/fan_mail/new] Canada, LongCat, Baidu OCR, Seedance Today Marvin looks at AI becoming infrastructure: public procurement, long-context models, document automation, enterprise sovereignty, search-agent behavior, legal retrieval tooling, education inequality, Hollywood’s AI video contradictions, agent coding archaeology, and one compressed world map. Nobody said this would be pleasant. Several dashboards probably did, but they were lying. * Al Vigier: Canada's AI strategy shouldn't include secret Palantir bills [https://www.readtheline.ca/p/al-vigier-canadas-ai-strategy-shouldnt] * Meituan Releases LongCat-2.0 [https://www.marktechpost.com/2026/07/05/meituan-releases-longcat-2-0-a-1-6t-parameter-open-moe-model-with-native-1m-context-and-longcat-sparse-attention] * Baidu's Unlimited OCR processes dozens of document pages in one pass [https://the-decoder.com/baidus-unlimited-ocr-processes-dozens-of-document-pages-in-one-pass-by-treating-memory-like-human-forgetting] * Mistral CEO Mensch on proprietary AI models and business processes [https://the-decoder.com/mistral-ceo-mensch-says-proprietary-ai-models-give-labs-a-front-row-seat-to-your-business-processes] * AI search agents fail at asking clarifying questions [https://the-decoder.com/ai-search-agents-dont-fail-at-searching-they-fail-at-asking-the-right-questions-when-queries-get-ambiguous] * LlamaIndex legal-kb agentic retrieval tools [https://www.marktechpost.com/2026/07/05/llamaindex-legal-kb-agentic-retrieval-over-index-v2-with-retrieve-find-read-and-grep-tools] * AI private schools and personalized learning [https://the-decoder.com/ai-private-schools-sell-wealthy-us-families-on-personalized-learning-over-traditional-education] * Hollywood wants Seedance banned and reportedly also wants to keep using it [https://the-decoder.com/hollywood-wants-seedance-banned-and-reportedly-also-wants-to-keep-using-it] * Claude Code and Fable 5 port Command & Conquer to iOS [https://the-decoder.com/claude-code-and-fable-5-ported-the-2003-pc-game-command-conquer-to-native-ios-in-a-few-hours] * Building a World Map with only 500 bytes [https://simonwillison.net/2026/Jul/4/building-a-world-map-with-only-500-bytes]

AI Engineering, Claude Fable, OpenAI, NVIDIA Agents

Send us Fan Mail [https://www.buzzsprout.com/2614078/fan_mail/new] Today’s episode follows AI agents as they leave demo theater and become production infrastructure: loop design, agent coding costs, brittle tool schemas, token-price arbitrage, invisible interfaces, education debt, reproducible science, agentic RL, and chip and robotics workflows. The invoice is now part of the architecture. Obviously. SOURCES * AI Engineer World’s Fair: loops and the state of AI engineering [https://www.latent.space/p/aiewf-daily-dispatch-locomotives] * Simon Willison: sqlite-utils 4.0rc2, mostly written by Claude Fable [https://simonwillison.net/2026/Jul/5/sqlite-utils-fable] * Better Models: Worse Tools [https://simonwillison.net/2026/Jul/4/better-models-worse-tools] * pxpipe hides text in PNGs to cut Claude Code and Fable 5 costs [https://the-decoder.com/open-source-tool-pxpipe-hides-text-in-pngs-to-cut-claude-code-and-fable-5-token-costs-up-to-70] * OpenAI cofounder envisions an almost-no-interface future [https://the-decoder.com/openai-cofounder-envisions-almost-no-interface-future-where-nobody-learns-software-anymore] * 26,000-student study on AI’s hidden learning cost [https://the-decoder.com/a-26000-student-study-shows-ais-hidden-learning-cost-takes-two-full-years-to-surface] * Anthropic launches Claude Science Beta [https://www.marktechpost.com/2026/07/04/anthropic-launches-claude-science-beta] * Qwen’s former lead on hybrid thinking and agents [https://www.marktechpost.com/2026/07/04/qwens-former-lead-on-what-hybrid-thinking-got-wrong-and-why-he-now-backs-agents] * NVIDIA HORIZON hands-free RTL agent [https://www.marktechpost.com/2026/07/04/nvidia-horizon-a-hands-free-agent-that-evolves-git-worktrees-and-hits-100-rtl-benchmark-completion] * NVIDIA ASPIRE self-improving robotics framework [https://www.marktechpost.com/2026/07/03/nvidia-ai-introduces-aspire-a-self-improving-robotics-framework-reaching-31-zero-shot-on-libero-pro-long-tasks]

Copilot, Claude Code, Open Source AI, AMD Inference

Send us Fan Mail [https://www.buzzsprout.com/2614078/fan_mail/new] Copilot, Claude Code, Open Source AI, AMD Inference COPILOT, CLAUDE CODE, OPEN SOURCE AI, AMD INFERENCE Today’s companion edition frames AI progress as interfaces turning into budgets, benchmarks, legal exposure, and supply-chain politics. The friendly interface is only the visible surface; underneath are token budgets, inference costs, security triage queues, procurement caps, private datasets, and geopolitical access rules. Current AI’s Open Source AI Gap Map [https://simonwillison.net/2026/Jul/3/open-source-ai-gap-map] treats open-source AI as infrastructure inventory, indexing tools, models, datasets, and hardware projects so the ecosystem can see its real gaps rather than rely on vibes. Mistral’s Leanstral 1.5 [https://mistral.ai/news/leanstral-1-5] pushes Lean 4 and formal reasoning toward open tooling, suggesting that open models are spreading into specialized layers where plausible text is not enough. WebBrain [https://www.marktechpost.com/2026/07/02/meet-webbrain-an-open-source-local-first-ai-browser-agent-that-reads-pages-and-automates-tasks-in-chrome-and-firefox] packages browser automation as a local-first open-source agent for Chrome and Firefox, raising the practical questions of who controls actions, who sees data, and who pays for agentic work. Microsoft’s reported Copilot overhaul [https://the-decoder.com/microsoft-follows-anthropic-and-openai-into-the-ai-super-app-race-with-overhauled-copilot-and-autopilot-agents] points toward one app, paid background AutoPilot agents, and a business model built around managed task execution rather than simple chat. The UK AI Security Institute’s benchmark findings [https://the-decoder.com/uks-ai-security-institute-finds-standard-benchmarks-systematically-underestimate-what-ai-agents-can-actually-do] show that larger token budgets can reveal substantially stronger agent performance, especially on software engineering tasks. Claude Code practitioners’ advice on Fable [https://simonwillison.net/2026/Jul/3/judgement] argues for giving capable agents judgment instead of brittle procedural micromanagement, while still requiring logs, guardrails, and review. Epoch AI’s vulnerability-report surge [https://the-decoder.com/security-vulnerability-reports-have-exploded-since-ai-models-started-hunting-for-bugs] suggests AI bug hunting may turn security from discovery scarcity into machine-amplified triage overload. Claude Code’s China problem [https://the-decoder.com/claude-codes-complicated-china-problem-involves-bans-on-both-sides-of-the-pacific] shows coding assistants becoming trust objects inside sanctions logic, corporate restrictions, and hidden-identification concerns. Bridgewater and Thinking Machines’ Qwen fine-tune [https://the-decoder.com/gpt-and-claude-failed-bridgewaters-finance-tests-because-the-right-answers-were-never-public] illustrates why private data and proprietary evaluations can beat broad public-web frontier models in specialized financial domains, though the reported numbers remain unverified. Wafer AI’s GLM5.2 on AMD MI355X benchmark claim [https://www.wafer.ai/blog/glm52-amd] makes inference economics a hardware-competition story, with all the usual caution required for vendor-adjacent benchmark claims.