If Generative AI were a vehicle, it would be a runaway train.
AI
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Small random recurrent net contains function, train only output layer
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A small randomly connected recurrent net tends to bubble around chaotically and often contain the function you are looking for, and you can find it by training only an output layer. That's the basic idea
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Two-month pinned threads and recall of important elements
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Yeah! I had pinned threads that continued for more than two months and codex still remembers all the important elements. Otherwise, it searches for important elements by scanning the session itself.
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Don’t just add AI button, rebuild projects AI-first, e.g. hotelist
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I normally don't like plugging on an AI chat into my projects, because it's seems too easy and basic
— @levelsio (@levelsio) 20 juin 2026
I think you should instead rebuild entire projects from the ground up to be AI first, not just add some AI button
But in this case https://t.co/kH0hX7mhQy is already AI from the… https://t.co/zRZ8IAHlxZ pic.twitter.com/4wVzmAGL6gI normally don't like plugging on an AI chat into my projects, because it's seems too easy and basic I think you should instead rebuild entire projects from the ground up to be AI first, not just add some AI button But in this case http://
hotelist.com is already AI from the -
GPT-5.6: a great positive surprise ahead
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I have the feeling that GPT-5.6 will be a great positive surprise. Let us recall the information about GPT-5.6: "The company is separately preparing to launch a new AI model, codenamed 5.6, which will represent a 'significant improvement' over the flagship"
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2015 predictions come true: intelligent assistants and cooperative agents
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Des assistants intelligents avec qui on interagit en permanence, des agents qui coopèrent entre eux à notre service, la commoditisation de l'expertise…et bien d'autres prédictions qui avaient l'air complètement folles.
— Stephane Mallard (@StephaneMallard) 20 juin 2026
En 2015, beaucoup disaient que c'était n'importe quoi et… pic.twitter.com/24Donpi4xcIntelligent assistants we interact with constantly, agents cooperating among themselves for our service, the commoditization of expertise… and many other predictions that seemed completely crazy. In 2015, many said it was nonsense and
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Google’s X, Brain, and Cerebra before DeepMind integration
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google had x, brain and cerebra before it all got deepminded
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Andrej Karpathy’s 2018 talk on Building the Software 2.0 Stack
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The talk is "Building the Software 2 0 Stack (Andrej Karpathy)" 2018
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Karpathy: PhD sleep lost over models, industry over datasets
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There is this 2018 talk of Andrej Karpathy comparing his PhD time spent vs Tesla old days. PhD: sleep lost over massaging models and algorithms
Tesla(industry): sleep lost over massaging datasets In reality it is always about data and evals/your mechanism of evaluating the