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Google DeepMind #Robotics #Models #Research

Google DeepMind introduces Gemini Robotics 2.5

Google DeepMind introduced Gemini Robotics 2.5 on November 10, reporting faster skill acquisition and a broader range of dexterous tasks. Demonstrations include sorting automotive brackets, illustrating progress toward more adaptable physical automation.

Read at Google DeepMind
Google DeepMind #AISecurity #FormalVerification #Research

DeepMind introduces AlphaProof Code to verify Signal security

DeepMind announced AlphaProof Code on November 10, using human-reviewed specifications and AI agents to prove key security properties of Signal’s protocol implementation. Its open verification artifacts offer a route toward stronger software assurance, without claiming that every aspect of the application is verified.

Read at Google DeepMind
Anthropic #Productivity #EnterpriseAI #Collaboration

Anthropic adds Sheets, Whiteboards and Data to Claude

Anthropic’s November 10 update introduces Claude Sheets, Whiteboards and Data alongside expanded interactive connectors. Shared boards, editable spreadsheets and connected data workflows bring more team work into the assistant’s workspace.

Read at Anthropic
Google #Chips #Infrastructure #Agents

Google unveils TPU 8tx and TPU 8i Max systems

Google announced two additional eighth-generation TPU systems on November 9: TPU 8tx for confidential inference and TPU 8i Max for large context windows. The configurations adapt compute, memory and security around existing chip designs to meet different agent workload needs.

Read at Google
Microsoft #EnterpriseAI #Agents #Partnership

IBM and Microsoft launch Imagine Enterprise for AI agents

IBM and Microsoft announced Imagine Enterprise on November 10 to build, run and govern industry-specific AI agents. It combines IBM Consulting’s prebuilt agents and assets with Microsoft’s cloud and security technology, initially targeting financial services, insurance and retail.

Read at Microsoft
Microsoft #AISecurity #DeveloperTools #Rust

Microsoft reports AI-assisted discovery of Rust safety bugs

Microsoft’s FORGE Lab reported Rust standard-library memory-safety issues on November 9, with AI-assisted tools helping investigate some findings. Researchers reproduced and reported the bugs to maintainers; some remained open, highlighting both the value of agentic audits and the need for expert validation.

Read at Microsoft
Google #Productivity #Workspace #GenerativeAI

Google expands Gemini email tools across Workspace

Google began a gradual November 10 rollout of Gmail conversation summaries and non-personalized Help me write to more Workspace users aged 18 and older. Broader availability brings AI-assisted reading and drafting to work and school accounts, with administrator and user controls.

Read at Google
Reuters #Investment #Chips #AIBusiness

TSMC approves investments in Anthropic and OpenAI

Reuters reported on November 10 that TSMC’s board approved investments of up to $500 million each in Anthropic and OpenAI. The planned stakes extend the chipmaker’s exposure from supplying AI infrastructure to ownership in leading model developers.

Read at Reuters
Le Monde #AIPolicy #AISafety #France

French advisory council urges stronger AI-assistant safeguards

France’s Council on AI and Digital Technology submitted a report on November 10 urging stronger protections against AI assistants exploiting user vulnerabilities. Recommendations include clearer AI disclosures and disabling anthropomorphic or flattering features by default; these are proposals, not enacted rules.

Read at Le Monde
arXiv #AIResearch #Benchmarks #Science

New benchmark audits AI agents on spatial biology tasks

A November 9 preprint evaluates AI agents on spatial transcriptomics alignment using tasks reconstructed from published research. The authors report strong results on many tasks but also uncover errors and evaluation shortcuts, showing why scientific-agent benchmarks need careful auditing.

Read at arXiv

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60-second Shorts and long-form deep dives on how real AI systems are built, how they break, and how to fix them: caching, RAG, agents, security and decision models.

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The learning path

Five stages, from the edge of the network to the security of your agents.

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  1. 1 Foundations Edge & Caching Why far servers feel fast, where edge rendering backfires, and how one cache expiry can take down an AI app. 2 episodes · 2 coming 0 of 2 done
  2. 2 Core Decision Models When a typed decision beats generated text, and how to route between a decision model and an LLM. 3 episodes · 1 coming 0 of 3 done
  3. 3 Advanced Agents in Production Context, memory, cost guardrails and the workspace an autonomous coding agent needs. 9 episodes · 5 coming 0 of 9 done
  4. 4 Hands-on Hands-On: Coding Agents from Your Phone Step-by-step tutorials: build and ship real apps from the Claude app, with the prompts and the code for every step. 3 episodes · 2 coming 0 of 3 done
  5. 5 Hands-on AI Coding Agent Tips One practical tip per Short for Claude Code and the other coding agents, each one tested in a real run. 2 episodes 0 of 2 done
  6. 6 Extra Code Stories Picture-led stories from the history of programming, and what they say about where coding goes next. 3 episodes 0 of 3 done
  7. 7 Advanced AI Security Stolen tokens, poisoned tools and the other ways an AI system gets turned against its users. 5 episodes · 2 coming 0 of 5 done

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