Trump is going to milk this politically and economically for months, disgusting as always.

I have never heard anyone claim that LLM’s would not hallusinate. who would be that stupid, it is the basic principle how they work

Google is so shit nowadays, it’s main purpose is to sell you things, not to actually retrieve the things you ask.

Mainly you see this with coding related questions, they were much better 5 years ago. Now only way to get results is to ask LLM and hope it doesn’t hallusinate some library that doesn’t exist.

Part of the issue is that SEO got better and google stopped changing things to avoid SEO manipulation.

Quite commonly there is some condition when this contains more information, because you never expose error details to end users. Like it is ran from localhost or if debug is on.

Large scale three phase energy generation is always something rotating in sync with the grid. Easiest way to do that is to spin turbine+generator.

All nuclear, coal, biomass power plants just heat water to 300-800°C and push it through turbine.

The thing is that it is really quite robust, and there isn’t any other good solutions to it. They do have quite a lot of loss, but the cooled water after process (still over 100°C) can be used in other industries or district heating improving the efficiency.

Hydropower just spin the turbine with water flow. Wind directly spins the turbine, which is good for efficiency. Solar panels are still quite inefficient, but because they just use space, they make lot of sense even with poorer efficiency.

Being king as having huge losses, but unfortunately it is the best we got

Yes, I totally agree, when talking about these thermal batteries, it should always be made clear.

When Converting heat MWh(t) to electricity MWh(e) is pretty much 2/3 loss in the process, i.e. turbine, and it must be super heated vapor meaning like 800C°.

Edit: But to be clear, they are called heat batteries, even in English.

Yes, and the basic principle of thermal batteries has been quite common here in Finland for some time.

All Finnish cities have district heating networks, so there is some heating plant that generates heat, which is distributed to homes using water as medium. It is closed system where hot water goes in, colder water comes out, which is heated back up. This energy is used to heat the home and heat the cold usage water (faucet/shower etc)

Because the network is lots of water, there is already quite a lot of energy storage in the heat grid itself, so itself works as a battery. In last five years almost all big networks have created water based thermal batteries. Those are 7-8 stories high insulated water containers. These make sense because you just start taking the already heated water from the container to the grid when ever you need.

So the tech itself is quite standard here, just the medium of using sand is new. Sand brings you bit longer storage time, but adds bit of complexity to the process.

Source: I work in a company that owns these kind of networks

He is Russian stooge

There could be some sense figuring first out water containers. Old saying is that human survives few minutes without oxygen, few days without water and few weeks without food. Water > Food

Also as a hunter gatherer, food is around you (berries, roots, game) and you can carry them with you. Drinking water is more scarce and keeping it with you when you move around needs some container.

Ketamine is making him paranoid

He is probably not lying, he is just that fucking stupid.

“not good, not bad”

Did you miss that open ai released the oss model few days prior to gpt5?

Larger model: https://huggingface.co/openai/gpt-oss-120b Smaller model: https://huggingface.co/openai/gpt-oss-20b

They seem to be quite good

Not saying that openai would be the good guys here, but I believe they are realizing that they are behind on local models.

Using a bad translation/transcript as base for professional translator is still better than nothing. Like I said, translators are still going to be needed, but lots of the heavy manual work can be now automated.

Also often when very domain specific language is used, the translation made by human can be bad, because they don’t know the proper terms. Of course good professional translators will ask these. It is also something that must be done with these dummy LLM models, you cannot just throw text into it and expect good results.

No no, he announced that we will be on Mars at 2022 originally. He is now promising 2030. He is vaporware sales man where future is always next year.

GPT-5 without “thinking” mode got the answer wrong.

GPT-5 with thinking answered:

Here are the 21 US states with the letter “R” in their name:

Arizona, Arkansas, California, Colorado, Delaware, Florida, Georgia, Maryland, Missouri, Nebraska, New Hampshire, New Jersey, New York, North Carolina, North Dakota, Oregon, Rhode Island, South Carolina, Vermont, Virginia, West Virginia.

It wrote a script that verified it while doing the “thinking” (feeding the hallusinations back to the LLM)

That is probably true in many case, buy to be fair there are some jobs that have had huge impacts due to LLM’s, like translation.

These jobs have been changing quite a lot before this AI bubble mainly because advances in speech-to-text, but I see the LLM’s as final step. The translator need doesn’t fully disappear, but the workflow changes quite drastically and some labor heavy parts are going away.

Note: I am not talking as AI being some hype AGI, just the LLM tech, which is basically advanced auto complete.

Both can be true! (Being siblings and cousins at the same time, requires bit of inbreeding ofc)

Fighting means that you care.