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Monday 31 August 2026 13:59:01 GMT
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Tokyo drift irl🇯🇵 #gtr #tokyo #tokyodrift
Tokyo drift irl🇯🇵 #gtr #tokyo #tokyodrift
ម្ហូបអាហារក្នុងពន្ធនាគារនៃប្រទេសទាំង ១១ ជុំវិញពិភពលោក! #prisonfood#boostrong#vannakoem498
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🚀 Claude Opus 5 is here — near-frontier intelligence at half the price. Anthropic shipped Opus 5 today, and the headline is the cost/quality curve: it gets close to Fable 5's intelligence while staying priced like Opus 4.8. Here's the cheatsheet 👇 📊 The numbers that matter ½× the cost of Fable 5, at near-Fable intelligence 2× Opus 4.8's score on Frontier-Bench v0.1 2.5× faster in Fast mode 💵 $5 / $25 per M input/output tokens — same as Opus 4.8 ⭐ The highlights 🏆 New state-of-the-art — tops Frontier-Bench v0.1 & GDPval-AA; strongest model on Claude Pro 🧩 Solves novel problems — 3× the next-best on ARC-AGI 3, and beats Fable 5 on OSWorld 2.0 at a third of the cost ✅ Finishes the job — runs business tasks end to end on Zapier AutomationBench, ~1.5× the next-best pass rate at the same cost 🛡️ Most aligned yet — lowest misaligned-behavior score (2.3) of any recent model, hardest to trick into misuse 🧠 The one-line takeaway: it thinks harder before it writes a single line — the clearest jump in problem-solving from one Claude model to the next. ⚙️ Available now: claude-opus-5 on the API and the new default on Claude Max. Two betas ship alongside it — mid-conversation tool swaps and automatic fallbacks. One honest note 👉 it's still behind Mythos 5 on cybersecurity (especially exploit development) — a deliberate safety choice, with flagged requests falling back to Opus 4.8. The bigger lesson for builders: the model keeps absorbing the scaffolding. If your product's value lives in builder/critic agents and heavy task decomposition, it's worth asking what's left when the model does that itself. 🏗️→🤖 Full release in the link. Save this one. 🔖 Which should I break down next — 🧩 how it
🚀 Claude Opus 5 is here — near-frontier intelligence at half the price. Anthropic shipped Opus 5 today, and the headline is the cost/quality curve: it gets close to Fable 5's intelligence while staying priced like Opus 4.8. Here's the cheatsheet 👇 📊 The numbers that matter ½× the cost of Fable 5, at near-Fable intelligence 2× Opus 4.8's score on Frontier-Bench v0.1 2.5× faster in Fast mode 💵 $5 / $25 per M input/output tokens — same as Opus 4.8 ⭐ The highlights 🏆 New state-of-the-art — tops Frontier-Bench v0.1 & GDPval-AA; strongest model on Claude Pro 🧩 Solves novel problems — 3× the next-best on ARC-AGI 3, and beats Fable 5 on OSWorld 2.0 at a third of the cost ✅ Finishes the job — runs business tasks end to end on Zapier AutomationBench, ~1.5× the next-best pass rate at the same cost 🛡️ Most aligned yet — lowest misaligned-behavior score (2.3) of any recent model, hardest to trick into misuse 🧠 The one-line takeaway: it thinks harder before it writes a single line — the clearest jump in problem-solving from one Claude model to the next. ⚙️ Available now: claude-opus-5 on the API and the new default on Claude Max. Two betas ship alongside it — mid-conversation tool swaps and automatic fallbacks. One honest note 👉 it's still behind Mythos 5 on cybersecurity (especially exploit development) — a deliberate safety choice, with flagged requests falling back to Opus 4.8. The bigger lesson for builders: the model keeps absorbing the scaffolding. If your product's value lives in builder/critic agents and heavy task decomposition, it's worth asking what's left when the model does that itself. 🏗️→🤖 Full release in the link. Save this one. 🔖 Which should I break down next — 🧩 how it "solves novel problems," or ⚙️ the new automatic fallbacks? Tell me below 👇 . . . #HackProduct #ClaudeOpus5 #Anthropic #AIengineering #LLM

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