chatgpt posttraining @openai. building personal agi. I like ai and music and some other stuff
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what happens when The Machine can create and optimize The Mood faster than our homeostasis can be bored by it? the wireheading that awaits us if we can effectively listen again for the first time to the lark ascending or stairway to heaven or my beautiful dark twisted fantasy...
I cannot shake it
Songs are my superpersuasion failure mode. They can elicit emotions in me like little else... This might be how I flip. Once AI creates pieces more beautiful than Debussy's I'll have no other option than to kneel before the Divine...
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What more does one need when one has astra, a pile of slack unreads, the 21st minute of pines of Rome on infinite repeat, and a cheeky late night Diet Coke
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Just another night asking the computer to use the computer to fix the computer so I can get back to working on getting the computer to be a better computer
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Many people think that the words “Artificial Intelligence” are inaccurate, and very ineloquent, relative to AI, or Artificial Intelligence. A far more elegant and accurate description of this new phenomena would be "Spicy Regression" (SR) or, "Just Linear Algebra" (JLA) or, "Basically Statistics" (BS). This is a Poll, and I would appreciate everybody voting! Which is the best name for this ever growing “Revolution?”
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another crazy day working at the crazy day factory
We’re sharing a solution to the Navier-Stokes Millennium Prize Problem, one of the deepest problems at the frontier of mathematics.
The proof was produced by a group of agents, using an OpenAI next-generation model significantly more capable than GPT-6 Astra.
The problem concerns whether the description of smooth three-dimensional fluid motion modeled by the Navier-Stokes equations can break down. It has remained unresolved for roughly 90 years.
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Our latest optimizations have made OpenAI models 110% cheaper
5.6-Luna literally turns lead into gold with each generated token. 5.6-Terra turns water into wine. Generating from Sol spontaneously synthesizes orbital data centers full of Vera Rubins
OpenAI has found new internal optimizations capable of cutting the cost of serving existing models by more than half. In other words, 50% cheaper inference or more, without swapping the model for a weaker one. On top of that, the engineers are developing the new chip, which also represents some incredible leaps in engineering.
All of this will start being implemented over the next few months. So we have a new family of models: Astra. We have a massive pretraining run with supposedly more than 10T parameters: Bel. And we have interesting, cheap technology behind all of it, making it possible for users to do twice as much, three times as much, or even more, for the same cost.
Meanwhile, I’m not seeing advancements nearly as significant from Anthropic, and even their “Model 2,” which is basically their ace in the hole, isn’t something they plan to release because it’s “too powerful and dangerous” (and also extremely expensive), so they prepared weaker checkpoints instead.
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We need a tool that measures the size of the gap between your personality on slack vs IRL
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Eric retweeted
This is why we push on personal AGI @OpenAI ; join us to build amazing models/products to empower everyone!!!
Life is full of things that, by complexity or design or lack of care or required time, are hard to navigate: healthcare, government, personal finance, school forms are all among them
It is why I feel consumer AI is underrated. People muddle by, but need help than they can't get.
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They're selling hundreds of dollars for $20 a month
I'm begging you to try it
Go into debt if you have to
Uploading and logging into everything on OpenAI Finance is a better CPA and financial advisor than any human I’ve ever paid.
Ditto contracts and lawyers, and results/scans and doctors.
You only interface with humans out of the legacy capture and inertia of the offline world.
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no I'm not mad at you im just Giving You The Feedback Directly
This is a sign of great respect in my culture
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Wild interaction, we live in the future
btw @AcerFur can you please suggest one of the internal teams ask Astra to find vulns/bugs in Lean's kernel? Could be a huge success story + really useful going forward
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Several people with no technical background told me they were reviewing for NeurIPS using agents for all reviewing--stating they didn't understand what the agent did, nor the underlying paper.
Asked how they could trust the agent's review, they said they assume the author would have caught any errors.
Several people with no technical background told me they submitted to NeurIPS using agents for all coding—stating they didn't understand what the agent did, nor underlying code.
Asked how they could trust the code/results, they said they assume reviewers will catch any errors.
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