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@NewBooksNetwork only interviews authors of new books, but they made an exception for "The Master Algorithm", because they think it's still the clearest explanation of AI and strikingly prescient: https://
newbooksnetwork.com/the-master-alg
orithm
…
AI
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NewBooksNetwork makes exception for ‘The Master Algorithm’ due to its clarity
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GPT-5.5 is 3x more efficient, cheaper, and faster than Opus 4.8
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Best part: GPT-5.5 does all of this while being ~3x more token efficient than Opus 4.8. 47k output tokens vs 136k. Oh, it's also cheaper and faster: $6.61/task vs $12.58, 21 min vs 43 min. Enjoy!
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AI tool usage at scale: ChatGPT leads with 4.7B monthly visits
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AI tool usage at scale is here. ChatGPT: 4.7B monthly visits (Jan 2025)
Canva: 887M
Google Translate: 595M
DeepSeek: 268M (massive surge) http://
Character.AI: 226M
Perplexity: 133M
Gemini: 118M
Claude: 105M AI isn’t a trend anymore — it’s infrastructure. What’s your #1 -
Better prompts lead to better AI outputs: structure, analysis, conversation, planning.
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Better prompts = better AI outputs • Structured → precision
• Analytical → research
• Conversational → ideas
• Planning → execution Great prompts are frameworks, not guesses. Via Giuliano Liguori (
@ingliguori
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GPT-5.5 beats Claude Opus 4.8 on DeepSWE with faster, cheaper performance
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GPT-5.5 is #1 on DeepSWE, a hard long-horizon coding benchmark 70% pass@1 vs 58% for Claude Opus 4.8. And GPT-5.5 gets there with:
~2x faster runs
~1/2 the cost
~1/3 the output tokens Literally, better intelligence per dollar, per minute, per task. -
Open weight models lag behind closed models but shrinking
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Open weight models have lagged the state of the art closed models by four months The lag is shrinking not expanding unlike what paid influencers would like you to believe
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Only unreleased model on LM Arena Preview follows minimalistic instruction
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Technically, "unreleased" model is already available on LM Arena in Preview. And it was the only one that followed "minimalistic" instruction properly. – Image 1 – MAI Image 2.5 – Image 2 – GPT Image 2
– Image 3 – Nano Banana 2
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Sensitivity to generative model patterns and craving raw expression
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I have become super sensitive to the patterns introduced by many of the current generative models. I get triggered by contrastive negation and sloppy clip art. I want to see the output of your mind, raw existential expression, not filler
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Reviewing Codex output after 16 hours straight work
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me reviewing codex’s output after it worked for 16 hours straight
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France state-backed AI champion versus UK panel discussion
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france: state-backed ai champion
uk: panel discussion