Every part of the AI stack – semiconductors, GPUs, Python, PyTorch, LLMs, post-training, etc. – is in major need of improvement.
CODE
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AndrejGPT-Mini Parallel Subagents Load Large Codebase Context
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hahaha fun photo. AndrejGPT-mini and a group of parallel subagents loading the context window with this 10,000 LOC codebase in gitingest, reasoning='low'
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Cursor CLI Updates: Token Counts, Performance, Agent Support
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This update includes UX improvements like showing token counts, better rendering performance, and support for AGENTS.md and CLAUDE.md files. Let us know what you think with /feedback! http://
cursor.com/cli -
Important Learning Point from Deep Learning with Python Book
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Important point from Deep Learning with Python…
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No Data Leakage in Model Training and Evaluation Process
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Importantly: there was in fact no data leakage at work in the codebase, unless what a first read of the code suggested. The model is trained on the *demonstration pairs* of the evaluation tasks, but never sees the *test pairs* of those tasks, which is what it gets tested on.
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Character-Level Tokenization Success in DNA Language Models
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watch me realize in realtime that @gdb is deadly serious about character-level tokenization and it's already working well for @pdhsu, @SKonermann, and @patrickc's @ArcInstitute 's 40B model that is the "GPT-1 of DNA"
— swyx 🐣 (@swyx) 15 août 2025
with biological language models (instead of natural language),… https://t.co/SMA81JYX0b pic.twitter.com/XXsMmDEZWewatch me realize in realtime that @gdb is deadly serious about character-level tokenization and it's already working well for @pdhsu
, @SKonermann
, and @patrickc
's @ArcInstitute 's 40B model that is the "GPT-1 of DNA" with biological language models (instead of natural language), -
OpenAI refines Codex branding strategy with CLI distinction
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I think OpenAI are settling on "Codex" vs "Codex CLI" now which is an improvement at least
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Anthropic’s Claude Code GitHub Actions Tool Remains Largely Unknown
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Meanwhile Anthropic's version of Jules/Codex Web is a Claude Code in GitHub Actions thing that most people aren't aware of because it doesn't even have a name of its own
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LangGraph Studio Trace Mode: Real-time LangSmith Integration
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🔍New in LangGraph Studio: Trace mode
— LangChain (@LangChain) 15 août 2025
View your LangSmith traces in real time right inside Studio.
Annotate runs, and add them to datasets or annotation queues, bringing the power of LangSmith tracing directly into your workflow.
Debug faster and dig deeper, without any of the… pic.twitter.com/jt5mFDDtXGNew in LangGraph Studio: Trace mode
View your LangSmith traces in real time right inside Studio.
Annotate runs, and add them to datasets or annotation queues, bringing the power of LangSmith tracing directly into your workflow.
Debug faster and dig deeper, without any of the -
Dense Models Outperform Large Models for Practical Applications
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1-20b doesn't benefit almost any normal person situation. Whereas an equivalent 4b dense is usable almost anywhere. Qwen3 Coder doesn't even have any dense option.