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@MatthewBerman: "inequality of compute will matter far more than open models in having personal superintelligence" This was my biggest …

X AI KOLs Following · 5d ago Cached

The Twitter thread discusses how inequality of compute may matter more than open models for achieving personal superintelligence, with a response from Sholto Douglas to Matthew Berman's views.

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#twitter-discussion

@vista8: It feels like Codex is gradually becoming a monopoly, at least on X and overseas. Although running the model within its own harness framework works better. For example, Kimi CLI with K3, ZCode with GLM5.2, Grok Build with Grok4.5, etc. Deepseek is about to...

X AI KOLs Timeline · 2026-08-05 Cached

Discusses Codex's gradual monopoly trend on X and overseas markets, and how the survival space for other frameworks like Kimi CLI, ZCode, and Grok Build is shrinking.

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#twitter-discussion

@kentcdodds: This is what I've been saying for the last year. And it's why @kodykoala is not an agent, but a set of very powerful pr…

X AI KOLs Timeline · 2026-07-22 Cached

Kent C. Dodds agrees with a tweet that building an agent into your product likely won't work, explaining that his tool Kody Koala is a set of primitives for agents rather than an agent itself.

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#twitter-discussion

@gdb: benchmarks get saturated very quickly these days

X AI KOLs Following · 2026-07-16 Cached

A tweet notes that benchmarks quickly become saturated, citing the example of a model called GPT-5.6 Sol Pro scoring 91/99 on prinzbench, with two questions remaining unsolved.

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#twitter-discussion

@yoheinakajima: some ppl on hackernews are mad that I’m acting like I discovered event sourcing and CQRS

X AI KOLs Timeline · 2026-07-06 Cached

Yohei Nakajima responds to criticism on Hacker News about his claim of discovering event sourcing and CQRS, referencing the article 'The Log Is the Agent'.

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#twitter-discussion

@no_stp_on_snek: someone will wave the card at me: the 9B crushes its base on the coding benchmarks (SWE-bench 69 vs 53). true. but on m…

X AI KOLs Following · 2026-06-28 Cached

A commentator discusses the performance of a 9B model on coding benchmarks, noting that while it beats its base on SWE-bench (69 vs 53), the advantage narrows on behavioral and long-horizon tests, suggesting limited gains outside benchmark distributions.

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