sounds great. The AI activity has been growing out of control and I feel more regretted attention, possibly the Read endpoints can be a lot cheaper but the Write endpoints a lot more expensive (?). (and to clarify the project I mentioned was all read, no write.). I do think X has
GENERATIVE AI
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Anthropic’s Claude Max plan filtering on system prompts concerns
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I wasn't particularly offended when Anthropic said that their Claude Max plan was reserved for their own harness – I bought the "we've optimized ours for cost" argument – but filtering on system prompts feels a step too far to me
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Anthropic’s discriminatory billing based on system prompt content
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Billing different based on text contained in the system prompt is a really bad look Peter Steinberger 🦞 (@steipete) Anthropic now blocks first-party harness use too 👀 claude -p –append-system-prompt 'A personal assistant running inside OpenClaw.' 'is clawd here?' → 400 Third-party apps now draw from your extra usage, not your plan limits. So yeah: bring your own coin 🪙🦞 — https://nitter.net/steipete/status/2040811558427648357#m
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OpenAI President Greg Brockman on AI Models and Takeoff
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I spoke at length with @OpenAI President @gdb about the company's double-down bet on text models, AI takeoff, Codex, infrastructure scaling, and plenty more.
— Alex Kantrowitz (@Kantrowitz) 5 avril 2026
Full episode below:
0:00 Introduction
4:06 Why OpenAI Pulled Back From Sora
11:24 The OpenAI Super App Plan
22:59… pic.twitter.com/LRKdXB8DGPI spoke at length with @OpenAI President @gdb about the company's double-down bet on text models, AI takeoff, Codex, infrastructure scaling, and plenty more. Full episode below: 0:00 Introduction 4:06 Why OpenAI Pulled Back From Sora 11:24 The OpenAI Super App Plan 22:59 OpenAI's Forthcoming “Spud” Model 28:13 OpenAI’s Automated AI Researcher Plan 31:12 AI Risk, Safety, and Takeoff 55:15 The Logic Behind OpenAI’s Compute Spending 1:03:24 Why So Many People Still Distrust AI
→ View original post on X — @ceobillionaire, 2026-04-05 17:34 UTC
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Modern AI: Five Pillars From Generative to Agentic Systems
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Modern AI = 5 pillars 🧠⚙️ ✨ Generative AI (create) 🧩 LLMs (reason) 🔎 RAG (ground + verify) 🤖 AI Agents (act) 🚀 Agentic AI (coordinate + scale) We’re moving from AI that answers → AI that executes outcomes. Which pillar wins next? 👇 #AI #GenerativeAI #LLMs #RAG #AIAgents #AgenticAI
→ View original post on X — @ingliguori, 2026-04-05 17:25 UTC
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Local Gemma 4 is Cool
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Local Gemma 4 is so cool
→ View original post on X — @clementdelangue, 2026-04-05 17:03 UTC
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AI Mistakes Expected During Development and Improvement
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hugeee! congrats mate – PI is on a tear with such amazing hires!!
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Why Physicists Dominate AI Leadership and Research
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Why are there so many physicists in AI?
— No Priors (@NoPriorsPod) 5 avril 2026
Anthropic's Dario Amodei, Google's Adam Brown, ChatGPT's Liam Fedus: all physicists, all at the frontier of AI.
ChatGPT co-creator @LiamFedus has a theory. https://t.co/lpD0oys2uF pic.twitter.com/90TeZ4vEaFWhy are there so many physicists in AI? Anthropic's Dario Amodei, Google's Adam Brown, ChatGPT's Liam Fedus: all physicists, all at the frontier of AI. ChatGPT co-creator @LiamFedus has a theory. Elad Gil (@eladgil) AI Foundation Model for Atoms- w/ @LiamFedus, CEO @periodiclabs, prior VP Post Training OpenAI — https://nitter.net/eladgil/status/2040143108852297991#m
→ View original post on X — @ceobillionaire, 2026-04-05 16:12 UTC
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Are AI Technologies Net Beneficial to Society?
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we all know they have their uses. i personally have said so repeatedly. but have they been NET beneficial to society? i seriously doubt it.