Shrinking attention spans are reshaping real-world business models, not just digital media formats.

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Our reading — they may agree, disagree or merely touch the same thing. Closest first: a shared subject counts for most, then how near the wording is.

• Information is more fragmented than ever and simultaneously more available than ever, and language models widen that access further. BGBill Gurley9 Jun 2026similar wordingGeneral partner at Benchmark Capital for over two decades
• Models are enormous only because the internet is bad: most of that capacity does memory work, and a better dataset would need far less of it. AKAndrej Karpathy17 Oct 2025similar wordingFounding member of OpenAI and former director of AI at Tesla
• Renouncing your own cognitive ability because the models are good is premature, because companies still pay an enormous premium for it. PCPatrick Collison31 Jul 2026similar wordingCo-founder and CEO of Stripe and co-founder of the Arc Institute
• Chain-of-thought monitoring is getting less reliable, not more, as models grow more capable. JPJakub Pachocki6 Sept 2026similar wordingChief Scientist at OpenAI
• Hybrid and sparse-attention model architectures will become more widely adopted as the ecosystem catches up. NLNathan Lambert8 Sept 2026similar wordingMachine-learning researcher on open language models

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