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Oct 212026Wednesday

03:34
Simon WillisonOct 21 03:34
Simon Willison built Battle Drones, an audio-networked RTS game, with Claude Code
Simon Willison released Battle Drones, a real-time strategy game developed entirely through vibe coding with Claude Code. It went through 12 major versions and 321 commits and runs in mobile and desktop browsers. The game includes 9 building types, 7 ground vehicles, 6 air vehicles and 3 infantry units, and supports fog of war, random map generation, AI versus AI, and an Agent battle mode in which two LLMs fight each other. He also implemented a multiplayer method in which two devices synchronize game state via microphone audio, and because the audio caused headaches, he added online multiplayer based on a WebSockets relay server.
12 major versions and 321 commits and runs in mobile and desktop browsers. The game includes 9 building types, 7 ground vehicles, 6 air vehicles and 3 infantry units, and supports fog of war, random map generation, AI versus AI, and an Agent battle mode in which two LLMs fight each other. He also implemented a multiplayer method in which two devices synchronize game state via microphone audio, and because the audio caused headaches, he added online multiplayer based on a WebSockets relay server.
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#newsletter #Tutorials / practice #Agents #English text is being prepared.

Oct 202026Tuesday

19:51
Shao MengOct 20 19:51
Stanford CME 295 Lecture 4 released: Teaching reinforcement learning with LLMs
The Stanford course CME 295 Transformers & Large Language Models has been updated to Lecture 4, Reinforcement learning with LLMs, and both the video and lecture notes are now public. This lecture goes from RL and Reward Design to PPO, GRPO, RLVR, and DAPO, explaining the notation in each one by one. The course is taught by Afshine and Shervine Amidi, with 9 lectures in total, covering Transformer architecture, attention variants, RoPE, LoRA fine-tuning, RLHF/GRPO training, Flash Attention inference optimization, MCP and AI Agents, and diffusion language models.
s been updated to Lecture 4, Reinforcement learning with LLMs, and both the video and lecture notes are now public. This lecture goes from RL and Reward Design to PPO, GRPO, RLVR, and DAPO, explaining the notation in each one by one. The course is taught by Afshine and Shervine Amidi, with 9 lectures in total, covering Transformer architecture, attention variants, RoPE, LoRA fine-tuning, RLHF/GRPO training, Flash Attention inference optimization, MCP and AI Agents, and diffusion language models.
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#hot-signal #Tutorials / practice #Reasoning #English text is being prepared.
08:00
browser_use_blogOct 20 08:00
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#company #Evaluations / benchmarks #Agents #English text is being prepared.
16:17
tmtpost_agiOct 20 16:17
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#hot-signal #English text is being prepared.#Agents #Evaluations / benchmarks

Oct 172026Saturday

08:00
browser_use_blogOct 17 08:00
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#company #Evaluations / benchmarks #Agents #English text is being prepared.
09:52
shao_mengOct 17 09:52
English translation is being prepared.
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#hot-signal #Tutorials / practice #English text is being prepared.#Agents

Oct 162026Friday

04:33
artificialanlysOct 16 04:33
English translation is being prepared.
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#editorial #Evaluations / benchmarks #English text is being prepared.#English text is being prepared.
09:18
artificialanlysOct 16 09:18
English translation is being prepared.
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#editorial #Evaluations / benchmarks #Agents #English text is being prepared.

Oct 152026Thursday

08:00
google_developers_blogOct 15 08:00
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#engineering #Tutorials / practice #Agents #Evaluations / benchmarks
13:00
heise onlineOct 15 13:00
OpenWiki hands-on: building repository memory for coding agents
heise online tested LangChain's CLI tool OpenWiki, which analyzes a codebase and generates a linked local Markdown knowledge base, then updates it based on new diffs and commits in Git history, and makes the content retrievable through agent prompts and MCP tools. The article notes that AGENTS.md or CLAUDE.md are suitable for short rules such as install commands, tests, style conventions, and security boundaries, and in a monorepo can also be nested in subdirectory files, but they struggle to serve as a complete knowledge model for large, rapidly changing repositories.
analyzes a codebase and generates a linked local Markdown knowledge base, then updates it based on new diffs and commits in Git history, and makes the content retrievable through agent prompts and MCP tools. The article notes that AGENTS.md or CLAUDE.md are suitable for short rules such as install commands, tests, style conventions, and security boundaries, and in a monorepo can also be nested in subdirectory files, but they struggle to serve as a complete knowledge model for large, rapidly cha
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#hot-signal #Tutorials / practice #Agents #English text is being prepared.
01:26
artificialanlysOct 15 01:26
English translation is being prepared.
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#editorial #Evaluations / benchmarks #Speech #Agents