the benchmark data made me pause. claude opus 4.5 hit 80.9% on SWE-bench verified. first model to ever break 80%. this isn't leetcode. it's real github issues from production repos. the actual work developers do. 4 out of 5 real-world bugs. solved.
@godofprompt
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When does AI assistance become replacement? 60% engineering work on Claude
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i looked up the internal numbers. their engineers are using claude for 60% of their work. not "sometimes helps with debugging." sixty percent of everything. 50% productivity gains. 2-3x better than a year ago.
at what point do we stop calling this "assistance"? -
Daniela Amodei says Claude matches human-level coding at Anthropic
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daniela amodei on CNBC: "by some definitions of that, we've already surpassed" human-level AI. her example was coding. she said claude writes code "about as well as many developers at anthropic now." anthropic. the company that probably employs some of the best engineers on
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Anthropic President Admits AGI May Have Already Happened in Some Domains
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anthropic's president just casually admitted AGI might have already happened. not "we're close." not "maybe next year." already happened. in some domains. while everyone was still arguing about the definition. this hit different when i actually read what she said:
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Shortcut system prompts hack for SEO and writing efficiency
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prompt hack that saves me hours:
add shortcuts directly to your system prompt examples i use for seo:
/article → generates full draft /optimize → SEO keyword pass /outline → structure first for writing:
/shorten → compress without losing key ideas
/humanize → remove -
Claude Mastery Guide: How to Prompt It Correctly
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Claude is the smartest AI right now. But 90% of people prompt it like ChatGPT. That's why I made the Claude Mastery Guide: → How Claude thinks differently
→ Prompts built for Claude
→ Workflows that use its strengths Comment "Claude" and I'll DM it free. -
AI agents timeline: MCP to machine-to-machine economy by 2030
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2025: Agents got a shared language (MCP)
2026: Agents learned to talk to each other (A2A)
2027: Agents got wallets
2028: Agents started hiring other agents By 2030, most of the economy runs machine-to-machine. Humans won’t be replaced.
They just won’t be required. -
Chinese AI dominates video models: 7 of 8 top, faster, cheaper
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But here's what nobody's saying: Chinese AI just dominated the leaderboard.
7 of 8 top video models: China. Faster. Cheaper. Better. While everyone waited for Sora, they shipped the future. -
AI-native experiences: evolving games, interactive cinema, responsive demos
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The unlock: AI-native games where worlds evolve from player actions
Interactive cinema where viewers control the story
Live product demos that respond to questions
Streaming with environments that shift on command -
Alibaba-backed AI (100M users) launches omni-model, memory attention, instant generation
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Alibaba-backed. 100M users. Launched Jan 13.
— God of Prompt (@godofprompt) 17 janvier 2026
Three breakthroughs nobody else has:
Omni-model (everything speaks one language)
Memory attention (infinite worlds that remember)
1-4 step generation (instant response)
They unified what Google, OpenAI, Meta built separately. pic.twitter.com/irDCNCm78ZAlibaba-backed. 100M users. Launched Jan 13.
Three breakthroughs nobody else has: Omni-model (everything speaks one language)
Memory attention (infinite worlds that remember)
1-4 step generation (instant response) They unified what Google, OpenAI, Meta built separately.