@FinanceYF5: 1/ The New Moat of AI Competition: Speed As of 2026/5/30, OpenAI updates major models every 51.8 days on average, Anthropic 59.8 days, Google 75.8 days. The gap is not just in benchmarks, but also in iteration pace.
Summary
As of May 30, 2026, OpenAI updates major models every 51.8 days on average, Anthropic 59.8 days, Google 75.8 days, pointing out that AI competition is not only about benchmarks but also about iteration speed.
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1/⚡ The New Moat in AI Competition: Speed
As of May 30, 2026, OpenAI releases major models every 51.8 days on average, Anthropic every 59.8 days, and Google every 75.8 days.
The gap isn’t just in benchmarks — it’s also in iteration pace. 👇 https://t.co/bce7N3QXJO
1/ The New Moat in AI Competition: Speed
As of May 30, 2026, OpenAI releases major models every 51.8 days on average, Anthropic every 59.8 days, and Google every 75.8 days.
The gap isn’t just in benchmarks — it’s also in iteration pace.
2/ Slow down once, fall behind one cycle
From GPT-5 to GPT-5.5, OpenAI typically jumps every 28–56 days; Anthropic, after Claude 4, has also fallen into a 42–73‑day cycle.
Google’s Gemini intervals are larger — in 2025 there was even a 154‑day gap, on top of even more preview releases.
3/ Speed compounds
Faster releases bring more real‑world usage, denser feedback, stronger developer mind‑share, and let enterprises embed new capabilities into workflows earlier.
Frontier models are turning into continuous software delivery. Slowness is becoming a new vulnerability. Can Google catch up by end of 2026?
Read the original:
Give Fable 5 a one‑line instruction: Write a single‑file HTML that renders a realistic American flag waving in the wind.
It spit out 644 lines of code — the folds, lighting, and flutter timing were all spot on, first try, no back‑and‑forth.
Achieving that kind of effect a few years ago would have required a dedicated particle‑effects specialist to tweak for hours.
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