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Cake day: December 18th, 2024

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  • Yes, you can have multiple devices with the same seed for the pseudorandom number generator. You can turn any computer into a hardware authenticator. In practice, it depends on the bank or your employer. Google reduced phishing success rate to zero after switching to ubikey.

    As for perception, you really nailed it. It’s more important than actual difficulty of gaining access to your accounts. Remember that most articles are written by low skill blue teamers who manipulate your perception into thinking it’s really easy while they don’t possess the skills to do it. Always call them out in a manner like “you claim it’s easy, have you done it?”. They will always say no.



  • Start bulking up by eating well, solid exercise routine, a bit of help from anabolic steroids. Pose with a formula-filled blackboard background shirtless while flexing your biceps for Instagram and Twitter. Become the math bodybuilding icon. Make jokes like “my muscles are not differentially equal to yours”. You should build an audience, and after that you’ll be able to expand into sponsorships, and OnlyFans. You can also do IRL prostitution, and earn thousands of $ per night. The key is to target either old hags, or rich homosexuals.

    Good luck. Let your biceps look like the bell curve of a Gaussian distribution


  • Large context window LLMs are able to do quite a bit more than filling the gaps and completion. They can edit multiple files.

    Yet, they’re unreliable, as they hallucinate all the time. Debugging LLM-generated code is a new skill, and it’s up to you to decide to learn it or not. I see quite an even split among devs. I think it’s worth it, though once it took me two hours to find a very obscure bug in LLM-generated code.











  • Large gains were due to scaling the hardware, and data. The training algorithms didn’t change much, transformers allowed for higher parallelization. There are no signs of the process becoming self-improving. Agentic performance is horrible as you can see with Claude (15% of tasks successful).

    What happens in the brain is a big mystery, and thus it cannot be mimicked. Biological neural networks do not exist, because the synaptic cleft is an artifact. The living neurons are round, and the axons are the result of dehydration with ethanol or xylene.