Saturday, June 20, 2026 · San Francisco
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Nobel Laureate John Jumper Leaves Google DeepMind for Anthropic US Presses ASML Over an EUV Machine It Says May Have Reached China Zuckerberg and Bezos Learn the Cost of Access The Best GitHub Tools for Building Claude Code Skills GLM-5.2 Becomes the Top Open-Weight Model on Artificial Analysis Zuckerberg and Bezos Show Why Access Is Not Safety Nobel Laureate John Jumper Leaves Google DeepMind for Anthropic US Presses ASML Over an EUV Machine It Says May Have Reached China Zuckerberg and Bezos Learn the Cost of Access The Best GitHub Tools for Building Claude Code Skills GLM-5.2 Becomes the Top Open-Weight Model on Artificial Analysis Zuckerberg and Bezos Show Why Access Is Not Safety
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Nobel Laureate John Jumper Leaves Google DeepMind for Anthropic

Nobel Laureate John Jumper Leaves Google DeepMind for Anthropic

A Nobel Prize winner just walked out of Google's crown-jewel AI lab. John Jumper, who shared the 2024 chemistry Nobel for AlphaFold and led the team that mapped more than 200 million protein structures, is leaving Google DeepMind for Anthropic after nearly nine years. His exit comes one day after another Google star defected to OpenAI, and it points straight at a weakness the company has been fighting to fix. What Anthropic wants with a protein scientist is the part nobody saw coming.

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The Best GitHub Tools for Building Claude Code Skills
Tools & Workflows

The Best GitHub Tools for Building Claude Code Skills

A Claude Code skill is just a folder with a SKILL.md file, but the GitHub tooling around it has split into distinct jobs. anthropics/skills and skill-creator handle authoring and testing, claude-plugins-official handles versioned distribution, runkids/skillshare syncs one library across Codex and OpenCode, and mattpocock/skills packages engineering-process patterns. Start local, and review any third-party skill like a code dependency before install.

Marcus Schuler · 13 min read ·
GLM-5.2 Becomes the Top Open-Weight Model on Artificial Analysis
Tools & Workflows

GLM-5.2 Becomes the Top Open-Weight Model on Artificial Analysis

Artificial Analysis named Z.ai's GLM-5.2 the top open-weight model on its Intelligence Index, scoring 51 to lead every open peer. Independent reviewers clocked it near Anthropic's Opus 4.8 on build tasks at roughly five times lower cost, though the model burns 43,000 output tokens per benchmark task. GLM-5.2 ships under an MIT license with a 1-million-token context window and open weights on Hugging Face.

Marcus Schuler · 11 min read ·
Repo Radar: 5 GitHub Projects Worth Your Week
Tools & Workflows

Repo Radar: 5 GitHub Projects Worth Your Week

Repo Radar #10: as coding agents push GitHub to machine scale, the week's trending repos are the control layer builders wrap around them. NVIDIA's SkillSpector scans agent skills for malicious code, agentsview gives every coding agent a local cost-and-session ledger, codebase-memory-mcp turns a repo into a queryable memory graph, agentgateway fronts agents and MCP servers with auth and budgets, and LMCache reuses the KV cache to cut inference latency. Scored on stars, license, and setup difficul

Marcus Schuler · 12 min read ·
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A Free App From Berlin Is Out-Engineering the $81 Million Dictation Leader

Voice dictation became the rare AI tool that changed how people write. As the speech models commoditize, the fight has moved to the layer above them, where a free app built by a developer who cannot type competes with the $81 million leader and the operating systems closing in.

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NVIDIA's RTX Spark Splits the Local-AI Hardware Decision in Two

NVIDIA's RTX Spark drops CUDA and 128GB of unified memory into mainstream Windows PCs, sharpening a local-AI buying decision that now turns on what fails first: memory capacity, bandwidth, or model quality. What an individual and a startup should actually buy in 2026, and where to stop spending.

Zuckerberg and Bezos Show Why Access Is Not Safety
Analysis 10 min read

Zuckerberg and Bezos Show Why Access Is Not Safety

Zuckerberg and Bezos gained meetings and policy openings, but the Haberman-Swan book shows the access also gave Trump material to display.

Zuckerberg and Bezos gained meetings and policy openings, but the Haberman-Swan book shows the access also gave Trump material to display. Trump reportedly showed visitors private outreach from Mark Zuckerberg and Jeff Bezos after the 2024 election, while FEC records show Amazon's inaugural giving in exact dollar lines. The access strategy looks less like insurance when the private overtures become part of Trump's own performance for the room.

Marcus Schuler
Marcus Schuler

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