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- Hacker News
- I'm gonna repeat my comment from months ago, still true
> Jesus Dario we get it man, you want clout for the IPO.
by knuppar - And Sam and Elon retweet Dario, agreeing with him. Not sure which is more weird.by bkishan
- After the 6 month Mythos scare campaign it hard to take him serious.by 708145_
- "our burn rate is insane, let's all calm down collectively, fortify our moat so we can do regulatory capture & rent-seeking for the next 50 years"
fear is still the best tool to get masses to agree with whatever plan you hatch for yourself
by malthaus - This guy is such a self-serving wanker.by voidfunc
- So, has anyone at the frontier AI labs considered doing _good_ things with these models instead of continuously proving it is capable of doing malicious things?
Instead of burning tokens doing intellectually impressive “hacks”, or sandbox escapes from which I have concerns could contain run of the mill malware, why not focus on showing people what you can fix?
Or, make software people actually use every day better.
Or, donate efforts towards medical research.
I don’t like equating AI to nuclear energy, but, it’s a lot like continually showing people how large of an explosion you can create instead of showing them how many houses/hospitals/schools/etc you can power.
by 99954bb63ccc - The question is: isn't the cat out of the bag already? With what is already in the public domain, and the compute available to motivated, deep-pocketed actors, will they be able to carry on the research without the key researchers? And will those people be able to recruit key researchers with sufficient motivations?
Unlike with nuclear proliferation, there is no heavy industrial base requirement. No time consuming, visible uranium enrichment. All it takes is for someone to buy sufficient amount of compute and try to get it past the RSI gate. Or bribe people with access to model weights to existing frontier - the asymmetry between what it takes to bribe a bunch of geeks vs. what is at stake is staggering.
by aenis - I thought that the new models were super smart. Fable and Astra. They definitely outperformed their previous generations, but after a couple of weeks of heavy usage my codebase again is a stupid mess and there is no way out except me fixing code by hand.
My new suspicion is now that they didn’t got drastically smarter, but they got trained on the user input on the previous generations. I don’t think anymore we had a massive intelligence jump. It just seems like they know more edge cases. Therefore I see this as marketing.
Happy to discuss.
by jwpapi