dmitriy_ko

You forgot ransomware

OpenAI cracked these frontier math proofs using models and amount of compute not available to general public. It's not the case that anyone can put "solve Navier–Stokes" in ChatGPT and get solution. Although less well-known problems can be solved with publicly available models.

Microsoft is a company where you get promoted for playing politics, not taking ownership, improving things, fixing bugs.

Latest LLMs that have good visual understanding (Gemini and GPT) are able to tell if construction work is up to code. You can give it a picture of electrical wiring, plumbing, framing and it will tell you if it's up to code with very good accuracy.

R-19. You can see label in the picture.

The current version of FSD drives better than most humans. You literally put in the destination address, press Start Self Drive, and it gets to your destination without you ever touching the steering wheel, and parks for you in the end. IMO it's ready for large scale robotaxi deployment. I only take steering wheel if I want to take a different route or park in a different place vs where Tesla decides to park.

Uber rides are around $1.5 per mile on average. Assume Waymo car drives 200K miles over it's lifetime, 3mi/kWh EV efficiently and $0.20/kWh electricity cost. It will generate $300K over it's lifetime and use $13K worth of electricity. Right now it costs $150K to manufacture Waymo car because they are custom built and Lidars are still expensive. Even at $150K unit economics should be OK. But the cost of self driving cars will go down as they are manufactured at larger scale and will eventually approach cost of regular mid-range car. In a few years they will be under $50K per car. Mapping is a one-time cost and the need for mapping will eventually disappear. This will be a massively profitable business for self-driving fleet operators.

Take-or-pay contracts appear as "contractual commitments" in 10-K. They are not hidden. That's the way they are reported in all industries where take-or-pay contracts exist. There's nothing nefarious about it.

Data centers use miniscular amount of water. Data center water use is a fake issue.

> whats working is ML models trained on specific domains (not much different than 5+ years ago), and whats not working is a general model that humanity can let go to work on its own.

As usual, AI skeptics are moving goal posts. Modern LLMs are on a completely different level in terms of how GENERAL they are vs anything pre-LLM. You can give it a completely novel puzzle and it will solve it. 5+ years ago you had to train NN to solve particular type of puzzle.

And a lot more electricity to power them.

It will happen after AGI singularity.

> poly breaker, where they have three shifts of people in protective suits that smash large pieces of silicon down with hammers

Why is this done manually? wouldn't it be easy to automate?

Average American "cardboard house" is better insulated than average European brick or concrete house. Having heavy walls make your house feel "sturdy" but it has nothing to do with energy efficiency. A lot of houses in Europe are just brick or concrete with no additional insulation. In US it's it's rare to have uninsulated houses.

In US more people live in very hot places like Texas and Arizona and people mostly live in single-family houses. Single-family houses obviously takes more energy to cool than "flats". Plus average American house/flat has twice the living area.

ICON has been building houses like that for a while. You can find walkthroughs of their houses on YouTube to understand what to expect. https://youtu.be/vcSaUXViD9g

It could be that dolphins are smarter than humans. Dolphins didn't build civilization, but it could be because they don't have flexible enough limbs for tool making. Maybe humans just got lucky with a combination of relatively high intelligence, language and flexible limbs.

> Why would the fact that the loans are now from the government mean that universities no longer had to compete on costs? The bill ultimately goes to the student in either case.

Because 17 years old student taking out the loan is not financially experienced, so the issue of cost is often not properly considered.

Modern houses have PEX plumbing. It has some advantages over copper, e.g. it won't burst if it freezes. But the main advantage -- it's less labor to install.