imagegen in codex is easy to underestimate, but it's quite powerful: https://t.co/aIySd0i1Vr
— Greg Brockman (@gdb) 17 avril 2026
imagegen in codex is easy to underestimate, but it's quite powerful:

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imagegen in codex is easy to underestimate, but it's quite powerful: https://t.co/aIySd0i1Vr
— Greg Brockman (@gdb) 17 avril 2026
imagegen in codex is easy to underestimate, but it's quite powerful:
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Universal HIGH INCOME via checks issued by the Federal government is the best way to deal with unemployment caused by AI. AI/robotics will produce goods & services far in excess of the increase in the money supply, so there will not be inflation.
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sad to report that "ask maps" in google maps is rubbish
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Hollywood is not dead.
— Robert Scoble (@Scobleizer) 17 avril 2026
It is evolving. https://t.co/jf7DOBst5u
Hollywood is not dead. It is evolving.
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This is so cool.
— AlphaSignal AI (@AlphaSignalAI) 17 avril 2026
Generate sleek architecture diagrams for any GitHub repo or local project in seconds.
It’s a single Markdown skill file that you can import and use right away in Claude. https://t.co/6zhDZPcGEf pic.twitter.com/OCmyoXjg5X
This is so cool. Generate sleek architecture diagrams for any GitHub repo or local project in seconds. It’s a single Markdown skill file that you can import and use right away in Claude.
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This is the solution: https://
alignednews.com/ai Built off of the most complete lists of AI industry available anywhere: http://
x.com/scobleizer/lis
ts
…

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New from DeepSeek: Mega MoE! Instead of running MoE as a chain of separate steps (dispatch → MLP → combine), Mega MoE fuses everything into a single mega-kernel. Even more importantly, it overlaps NVLink communication with Tensor Core computation, reducing the classic
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how much “worse” is general sota vlm vs sota dedicated SAM at this stuff?
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🧬AI is coming for one of science's biggest bottlenecks.
— Futurepedia – Learn to Leverage AI (@futurepedia_io) 17 avril 2026
Drug discovery has always been a 10-15 year slog. GPT-Rosalind is built specifically to change that; protein reasoning, genomics, biochem, and scientific tool use all in one frontier model.
This is what AI for real-world… https://t.co/wUI3nRLVY1
AI is coming for one of science's biggest bottlenecks. Drug discovery has always been a 10-15 year slog. GPT-Rosalind is built specifically to change that; protein reasoning, genomics, biochem, and scientific tool use all in one frontier model. This is what AI for real-world
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woke up to entire TL talking about Codex and all the things that weren’t possible yesterday but are today! highlights for me:
> computer use
> thread automations
> artefacts (slides, sheets, PDFs)
> image generation in Codex
> in-built browser and.. this is just the start 😉