brie

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 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.

AGI or human level intelligence has a hardware problem. Fabs are not going to be autonomous within 20 years. Novel lithography and cleaning methods are difficult for large groups of humans. LLMs do not provide much assistance in semiconductor design. We are not even remotely close to manufacturing the infrastructure necessary to run human level intelligence software.

LLMs are not programmed in a traditional way. The actual code is quite small. It mostly runs backprop, filters the data. It is already easily generated by LLMs.

Because writing web apps is boring as fuck, and evaluating switching provides a reason to stop coding in PHP, and write an article about how they still need to write PHP.

Can you buy it?

Broke back convolution