just stringing this into a single input > output workflow would be sick. Genie 3 for control, vid2vid for looks, but all in one. The “everything will be generated” quote from Jensen is getting more and more real tbh
AI
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Codex for building and debugging iPhone simulator end to end
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Codex for building and debugging an iPhone simulator end to end: https://t.co/qA5WlK0OzA
— Greg Brockman (@gdb) 23 mai 2026Codex for building and debugging an iPhone simulator end to end:
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Opus 4.8 found in Google Vertex, Sonnet 4.8 leak confirmed
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Can found opus 4.8 in Google Vertex. Can’t confirm any of this tho. However, the fact that Sonnet 4.8 is coming soon has been common knowledge since the data leak. The inclusion of Opus 4.8 in Vertex comes as a surprise to me – though, considering the accelerated release
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Gary Marcus: Deep Learning hitting a wall, possible Substack essay
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almost all is clearly explained in my article Deep Learning is hitting a wall, in Nautilus: https://
nautil.us/deep-learning-
is-hitting-a-wall-238440
… but maybe i will go line by line in a substack essay? -
Ex-OpenAI Employee Claims 70% AI Extinction Risk
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Ex OpenAI employee Daniel Kokotajlo claims of a 70% chance of human extinction from AI within ~5 years
— Amitav Bhattacharjee (@bamitav) 23 mai 2026
All humans dead? Seriously? 😳 #extinction #artificialintelligence #AI@AlbertoEMachado @Eli_Krumova @postoff25 @Khulood_Almani @anand_narang @NutritiousMind @baski_LA… pic.twitter.com/OPyuzwLa7dEx OpenAI employee Daniel Kokotajlo claims of a 70% chance of human extinction from AI within ~5 years All humans dead? Seriously? #extinction #artificialintelligence #AI @AlbertoEMachado @Eli_Krumova @postoff25 @Khulood_Almani @anand_narang @NutritiousMind @baski_LA
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ConvexTok vs BPE: moving tokenization toward optimality
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The key distinction: BPE gives us a strong procedure. ConvexTok gives us a procedure, an optimization relaxation, and a certificate. That moves tokenisation from engineering folklore toward measurable optimality.
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Paper: Tokenisation via Convex Relaxations reframes tokenizers
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The tokenizer is an architectural prior disguised as preprocessing. And almost everyone has been treating it like plumbing. A new paper by Jan Tempus, Philip Whittington, Craig W. Schmidt, Dennis Komm, and Tiago Pimentel changes the frame: Tokenisation via Convex Relaxations
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LLM vs RAG vs AI Agent vs MCP Comparison
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#LLM vs. RAG vs. #AIAgent vs. MCP
by @Python_Dv #GenerativeAI #ArtificialIntelligence #MachineLearning #ML -
Tokenization as Architectural Prior: New Research Paper
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The tokenizer is an architectural prior disguised as preprocessing. And almost everyone has been treating it like plumbing. A new paper by Jan Tempus, Philip Whittington, Craig W. Schmidt, Dennis Komm, and Tiago Pimentel changes the frame: Tokenisation via Convex Relaxations
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AI Solves 1946 Math Problem Using Ordinary System
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🤖 AI cracked a math problem that stood untouched since 1946 and the scary part is how ordinary the system was.#mathmatics #artificialintelligence #AI #maths @AlbertoEMachado @Eli_Krumova @postoff25 @Khulood_Almani @anand_narang @NutritiousMind @baski_LA @TanyaSinha_ @devaang… pic.twitter.com/xlZLAlqdIs
— Amitav Bhattacharjee (@bamitav) 23 mai 2026AI cracked a math problem that stood untouched since 1946 and the scary part is how ordinary the system was. #mathmatics #artificialintelligence #AI #maths @AlbertoEMachado @Eli_Krumova @postoff25 @Khulood_Almani @anand_narang @NutritiousMind @baski_LA @TanyaSinha_ @devaang