Browse Comments — Raw (as collected)
Close reading of the corpus at each pipeline stage: raw → clean → relevant → coded.
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Demis Hassabis https://www.psychologytoday.com/us/blog/the-emergence-of-skill/202606/the-boy-who-folded-how-hassabis-turned-chess-into-a-nobel
Thanks for the resources.
Jonathan Fleuren Field Architect, you know what’s up!
Open-source is one of the most underrated career accelerators. Learn, build, contribute, repeat.
Jim Nightingale I was referring to the sentence... 'the AI learned these cultural prompts from its training data'. So is the training data tested and validated?
👏 Incredible work.
I am developing an Ai Agent for CAD. My AI agent currently runs succesfully on freecad, I am posting videos on my LinkedIn from now on presenting the demo. It would be great if you can guide me to get fundings.
Angharad Hurley Now that you point it out, I have a feeling that particular sentence was AI generated (AI summary of the research?). I don’t quite agree with the sentence’s premise. Hmm.
But to answer your question about whether training data is tested and validated… it’s not my field, but as far as I know… no. You can get “data poisoning” and models that collapse because they were trained on “synthetic data” (so AI generated training data, a photocopy of a photocopy!), some models have been trained using “distillation techniques” which basically is smaller models cribbing off other larger models (DeepSeek does this) and which may amplify biases.
What I know from a red team perspective is that people are poisoning training data to leave backdoors open for jailbreak hacks.
So no, I wouldn’t trust that training data
Has been tested and validated, certainly not to the level that research scientists expect!
I really value your question on this by the way, as it’s reminded me how researchers have far higher expectations of data than the models they might encounter, and most probably don’t ask!
Congratulations🎉🥳
Good job
Dario is now looking for an exit condition more than his AI code recursions.
Unsubstantiated claims = BS. Ai marketing intentionally confused opinions with facts, and opened up BS floodgates. Quantum computing hasn't caught on the bull$hit bandwagon yet, and BS they can spew can be truly terrifying. Forget automated typewriters, I meant LLMs conspiracies. Quantum offers virtually unlimited BS opportunities
😂😂😂
This is the kind of resource that accelerates learning. The gap between understanding AI and building real-world AI solutions is huge, and practical, production-ready examples help bridge that gap much faster than theory alone.
Ye konsi bare bat hay jab murghe anda dete hay aor os Sy per murghe nekalte
Same ai 2 ai
We can't build a new world, and unity with wounded people. 😪 And AI will reflect the wounds of those who train it.
Sarit Williams Agreed which humans are coding AI?
Tanya Magalhaes who or what is coding AI?
I swear, this may be more significant work than all universities combined may have done. What do you think - could this be closer to being an exaggeration, or the truth?
Matthew Kilkenny