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absorb.md daily

absorb.md

Every day, what the smartest people in tech are actually saying. Compiled from the absorb.md knowledge bus across 2212 thinkers including Karpathy, Andreessen, Naval, Hinton, Hassabis, and more. 5 minutes of conflict, evidence, and stakes.

PublishesDailyEpisodes36Foundeda month ago
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Latest Episodes

This morning we flagged Foundational Tools and Efficient Kernels. Here's how it resolved. In this episode: • LLM Kernel Optimizations • Agent Brains and Modular Skills • RL Simulations and Online Learning Sources cited: 5 thinkers.

Karpathy says LLM knowledge bases are a new primitive impossible with old code. In this episode: • LLM Knowledge Bases as New Primitive • Egocentric Data Quality for Physical AI • AI Craftsmanship in Frontier Labs • Foundational Tools and Efficient K... more

Five new AI papers all got hit with the same counter this week. In this episode: • Adaptive RAG Defenses • Calibration-Free Robot Manipulation • Regional Fine-Tuning for African Languages • Scalable MARL Communication via Temporal Grouping • Conteste... more

This morning we flagged Developer Code Pushes and Open Source Stars. Here's how it resolved. In this episode: • DiLoCo Real-World Resilience • Self-Reviewing Agent Architectures • Builders' GitHub Priorities Sources cited: 8 thinkers.

Multiple new AI papers just got called out for imprecise claims on model sizes. In this episode: • Gemma 3 claim precision • Multimodal context unrolling • Regional African language models • Builder GitHub priorities Sources cited: 5 thinkers.

Non-engineers building working apps in 10 minutes. In this episode: • Non-Engineer Prototyping Reality • Kimi 2.6 Long Traces Debate • Agent and Kernel Infrastructure Bets Sources cited: 6 thinkers.

Kimi 2.6 dropped a 74-page thinking trace. In this episode: • Kimi 2.6 Long Traces Debate • Agent Systems Quarterly Rebuilds • LLMs as Petabyte-Scale Compressors • Generational Shift in AI Definition Sources cited: 6 thinkers.

ParseBench says even top models still hallucinate on charts and tables. In this episode: • ParseBench for Agent-Ready Document Parsing • PM Renaissance or Cull (continuing from 2026-04-22: builder vs exhaustion dynamic) • LLMs as Universal Compressor... more

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