Somewhat humbling to have Claude Fable do a final review of some software that you're about to release and have it then find (and fix) FIVE release blockers, for an estimated (unsubsidized) cost of $149.25
ECONOMY
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AI Can Cost More Than the Workers It Was Meant to Replace
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“AI is now costing some companies more than the people it was supposed to replace.”
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Fable’s Reasoning Settings Take 12 Minutes to Nearly Two Hours
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I ran the same prompt through Fable (in CC) at different reasoning levels, low effort too 12 minutes, max effort took nearly 2 hours.
— Peter Gostev (@petergostev) 4 juillet 2026
Prompt and the hosted version of this video below https://t.co/35jOwP66Ed pic.twitter.com/0xHtStdO5jI ran the same prompt through Fable (in CC) at different reasoning levels, low effort too 12 minutes, max effort took nearly 2 hours. Prompt and the hosted version of this video below
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Fable Runtime Rises From 12 Minutes to Nearly Two Hours
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Fable – same prompt, different reasoning efforts – 12 mins vs nearly 2 hours between 'low' and 'max'
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Multi-Agent Coordination Can Add More Cost Than Value
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Glad the coordination point landed, most multi agent setups add collaboration that never earns its cost
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Sonnet 5 Ranks Thirteenth in a Preliminary Cost and Token Benchmark
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Rumours are true. Sonnet 5 also completely breaks my benchmark in terms of cost and tokens generated. By such a big margin. It's crazily inefficient, and scores 13th behind Fable, Opus, GPT, Gemini, Grok… Voluntarily not sharing more, as this benchmark is still a work in
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Open Loop Engineering Framework Structures Quant Trading Agents
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This is crazy
— AI Highlight (@AIHighlight) 4 juillet 2026
A free github repo with 4.8K stars just dropped the entire "loop engineering" framework for trading agents.
12 steps to build a self-running quant desk: strategy intent → market data → signals → trading agent → verify → refine → rerun.
Save and bookmark no… https://t.co/01fWpMusQv pic.twitter.com/8yN7cvkt8eThis is crazy A free github repo with 4.8K stars just dropped the entire "loop engineering" framework for trading agents. 12 steps to build a self-running quant desk: strategy intent → market data → signals → trading agent → verify → refine → rerun. Save and bookmark no
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Open AI Research Could Pool Training Costs and Compute
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How? Instead of closed-source frontier labs running the same training runs in secret and siloes, open science and open-source AI allows them to mutualize spending and compute making them an order of magnitude more efficient!
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AI Sovereignty Debate Challenges Dependence on Permanent API Access
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Palantir’s AI sovereignty post makes the most sense with China in the background. China treats AI as strategic infrastructure. The West (especially USA) cannot answer that by turning its companies and governments into permanent API customers. (Which makes sense) You don’t win
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AI Companies Account for Around 60 Percent of Top Unicorn Value
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The unicorn landscape has changed dramatically. AI companies now account for around 60% of the value of the world's most valuable unicorns, with OpenAI and Anthropic alone representing a significant share of that total. To me, this highlights one thing: The AI race is no