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Every published item, in order · 29223 items
Nov 9
How-toBuildersSelected15:23
Addy Osmani shares best practices for managing coding agents

The practical shift here is that supervising agents demands the same skills as managing engineers — scoping, review and verification — rather than writing code yourself. Developers running long agent sessions can apply the agents.md persistence trick and automated verification loops immediately. Anyone frustrated by agents repeating fixed errors will find the lowest-friction fix in the third practice.

Event
Viking@vikingmuteSource
How-toBuildersSelected15:17
Hugging Face Releases 70,000-Word Free MoE Training Handbook

The handbook turns a technique guarded by a handful of frontier labs into open material with runnable code, lowering the barrier for teams wanting to train sparse models themselves. Engineers and researchers doing model training can work through the 55 interactive figures and experiments directly. Anyone weighing dense versus MoE architectures for their next pretraining run gains a concrete reference based on 800,000 GPU hours of experiments.

AI Will@FinanceYF5Source
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IndustryUS vs ChinaMulti-sourceSelected13:10
Gary Marcus highlights rising costs of AI capability gains

The analysis quantifies the economics behind the 'diminishing returns' debate with a concrete figure: an 8x cost increase per capability gain over two years, based on Anthropic's own data. Investors and enterprise buyers deciding whether to budget for frontier-model upgrades can use this trend to pressure-test vendor claims. It contrasts with the scaling narratives that labs and GPU suppliers still promote.

Event
Gary Marcus@GaryMarcusSource
IndustryBuildersSelected13:08
AI-Native Vendors Now Capture 90% of Infrastructure Spend

The 44% to 90% shift signals legacy cloud and infrastructure vendors are losing the AI budget battle to startups born for this stack, a reversal that reorders the vendor shortlist for anyone building AI products. Enterprise buyers and infrastructure founders should re-examine which layer their spending and roadmaps target, since agent tools are the fastest-growing segment. The adoption figures on sandboxes, search and browser tooling offer concrete benchmarks for sizing the agent tooling market.

AI Will@FinanceYF5Source
How-toBuildersSelected13:04
Gemini PM Tulsee Doshi on why product judgment matters in AI era

The practical detail most coverage skips is her advice to rewrite accumulated workaround rules after every model upgrade — stale prompts can actively suppress new abilities. Product managers and team leads building on frontier models can start with her 5-20 prompt eval method to build their own quality bar instead of relying on leaderboards. The 60/20/20 framing offers a reusable allocation template for roadmap planning under model uncertainty.

shao__meng@shao__mengSource
IndustrySelected12:54
François Chollet: Scaling Is a Multiplier, Not the Core Method

The argument reframes the scaling debate: compute spending amplifies whatever generalization ability a method already has, so research effort should target methods with higher baseline generalization rather than relying on budget. Researchers choosing between architecture-driven and scaling-driven research agendas, and investors weighing AI infrastructure bets, can use this framing to evaluate long-term defensibility of current approaches.

Official accountFrançois Chollet@fcholletSource

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