Neural channel | Deep Learning | Datascience | AI Memes
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Cutting-edge datascience and shiet
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Gonna post a banger soon, stay tuned!
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ChatGPT agent reasoning about clicking “I’m not a robot”
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Neural channel | Deep Learning | Datascience | AI Memes
Gonna post a banger soon, stay tuned!
I decided to post this shortly after GPT-5 comes out (which comes out in a few hours/days) to take it into consider when writing. Stay tuned
The scariest part about the dead internet is that it’s more alive than some of the humans
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Keep thinking about this
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GPT5 stream

They proudly show how ChatGPT:
1) Doesn't answer fireworks-related question
2) Decides how to do a cancer therapy

AI will decide for you how to live but fireworks is too much chud
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A random thought: now when more and more tools are AI-powered, security by obscurity becomes [more] important

It’s harder for AI to hack you if its pretraining data had nothing similar to your system

Do you agree?
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Thinking of starting a list of (mostly esoteric) public goods for AI dev/research that I personally would like to work on if/when I have more time:

- a toolkit to benchmark models of different quantizations: usually authors only check for perplexity which IMO is not enough
- open-domain datasets of various extremely niche knowledge, ideally requiring an internal world model, for example: Stalker games knowledge; lifehacks and howtos of my local neighborhood; etc. I would've also kept the validation part private just like the ARC dataset
- "questions requiring reasoning about multiple needles in multiple haystacks" datasets - this one is obvious. Would be interesting to see how all those sparse attention approaches handle them hehe

why do I think those are important?

1) I'm simply curious tbh
2) to turn the Goodhart's law into a tool: if everyone is benchmaxxing, the best way to make sure new models are aligned with your needs is to make benchmarks that measure things you want/need, especially if we're entering the era of "universal verifiers"
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Here’s the reupload of the deleted video hehe
Do prompt self-refinement algorithms, e.g., GEPA and MIPROv2, count as reinforcement learning in prompt-space?
Anonymous Poll
26%
Yes
31%
No, it's not real RL
43%
Not sure
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Working towards real-time reinforcement learning
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Forwarded from Alphakek | News (Vladimir Sotnikov)
1) New Prompt Enhancer is a new kind of an extremely smart AI that learns from AIKEK holders in real time

2) Under the hood it works as a scaffold for the online RL which is in turn a revolutionary thing that will bring us to ASI that is aligned with AIKEK holders

3) It leverages new tokenomics: bigger holders get more value

4) More RL widgets are in development: for data, for memes, and for completely novel use cases


https://x.com/alphakek_ai/status/1970511071074017292
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