Current AI models have super human breadth and speed, but lack depth and creativity https://t.co/RDmr0aP87X
— Joscha Bach (@Plinz) 24 mars 2026
Current AI models have super human breadth and speed, but lack depth and creativity
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Current AI models have super human breadth and speed, but lack depth and creativity https://t.co/RDmr0aP87X
— Joscha Bach (@Plinz) 24 mars 2026
Current AI models have super human breadth and speed, but lack depth and creativity
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If your testbeds aren't i.i.d. samples from the space of AGI-relevant testbeds, performance on them is not an indication of AGI capability.
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Silicon Valley: "AGI is coming to change the world!"
— Charly Wargnier (@DataChaz) 23 mars 2026
France: We have fully automated crêpe production with Le Crêpebot 3000 pic.twitter.com/GgkEtRIW6q
Silicon Valley: "AGI is coming to change the world!" France: We have fully automated crêpe production with Le Crêpebot 3000

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Computer use, manus , comet, voilà un autre concurrent https://t.co/Ur3a4HgfVL
— ⚡Jessy SEO formation #IA générative #chatGPT 🦊 (@jessyseonoob) 23 mars 2026
Computer use, manus , comet, voilà un autre concurrent

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welcome to MSL! excited to build personal superintelligence together!
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Jensen Huang: I think we've achieved AGI.
— Chubby♨️ (@kimmonismus) 23 mars 2026
It's certainly difficult to define it precisely due to the lack of a uniform standard.
But it seems that 2026 will be the turning point. pic.twitter.com/oa8AX09YtU
Jensen Huang: I think we've achieved AGI. It's certainly difficult to define it precisely due to the lack of a uniform standard. But it seems that 2026 will be the turning point.

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EPIC! It's confirmed that the AI has solved the first mathematical problem from the FrontierMath: Open Problems benchmark, which consists of problems that remained unsolved despite attempts by the mathematical community. The first of many more to come!
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I'm not 100% sure about agents md but at least I didn't want it to go look for other projects that I have already, which it definitely does do. I also have a learnings md doc which it does have to fetch

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Two possibilities: Either he's saying this now as an employee of OpenAI out of loyalty (which I find hard to imagine), or option two, because he's seen how far along the models are internally (more likely). Because his two statements strongly contradict each other.
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Resolving a 54-year-old conjecture in arithmetic geometry is the kind of AI result that actually moves the needle on whether these systems can do real mathematical reasoning. Benchmarks tell you about pattern matching. Open problems tell you about understanding.