> That's not a "greed is good" Gordon Gekko speech

You say this, but then you say this:

> but because money is how we keep account of the things we do eat

If you think people should be able to coordinate the economy and grow/create the things they want, such as food, what you are saying is that greed is good. Wanting to be alive and having things to eat is greed; all wants and "needs" are just greed after all.

Its a political question; given the earths unknown but certainly finite ability to support human life, should people's wants and needs all be thrown equally into a market competition to see what gets satisfied, or should some learned elite decide the questions of whose wants to live are allowed and whose are not.

> At some point they will run out of other people's money to spend on energy solutions that can't make a profit ... but there's politics getting in the way.

Both of those statements are true; what you dont seem to realize yet is that you cannot both want to fix the "climate crisis" and want to believe in basic economics: that people's wants should be served by a market. You have to discard one or the other.

Or if it's even still readable. Intel when retrieving the 486 tape-in for the Edison project had to bake the tapes in an oven to remove moisture, and then had ONE CHANCE at imaging the tape as it crumbled to dust going through the reader.

I agree. The functions provided by this bed do not require internet connectivity AT ALL, let alone some ridiculous cloud based architecture. $5000 is enough to include a $200 miniPC to monitor temp and positional sensors.

At which point it will hallucinate that every building is a McDonald's only to get you murdered by a drug cartel gang.

Lying to you to give you that terrible restaurant recommendation. https://arxiv.org/pdf/2510.06105 is a white paper mathematically proving that LLMs will lie.

I have said this all along- most of AI is GIGO- Garbage in, Garbage out. LLMs were trained on the largest garbage producer in our society today, Web 2.0. Nothing was done to curate the input, so the output is garbage.

I don't often reveal my religion, but https://magisterium.com/ is an example of what LLMs look like when they HAVE curated training. This LLM is very limited. It can't answer any question that the Roman Catholic Church hasn't considered in the last 300 years or so. They're still adding documents to it carefully, but I asked it about a document published a mere 500 years ago and it wasn't in the database, but instead of making something up like most LLMs will do, it kindly responded that the document wasn't in the database. It also, unlike most AI, can produce bibliographies.

The irony of the two stories being together on the front page, "More Screen Time Linked to Lower Test Scores For Elementary Students" and "Microsoft to Provide Free AI Tools For Washington State Schools" is just too good to fail to mention.

And so I'm replying to the both First Posts with it.

The irony of the two stories being together on the front page, "More Screen Time Linked to Lower Test Scores For Elementary Students" and "Microsoft to Provide Free AI Tools For Washington State Schools" is just too good to fail to mention.

And so I'm replying to the both First Posts with it.

It's not just for Microsoft anymore

I'd mod this up if I could. The extra middle men all have to be fed as well.

For firing the Woz and canceling the IIgs line

That evil guy Trump has the solution, created last Friday- $100,000 minimum application fee for new H-1bs

If Trump wants to make the $100,000 H-1b fee *extremely popular among techies*:

-$30,000 to an American worker laid off in the last 36 months for retraining funds and or job coaches
-$50,000 in a trust fund for the worker to be paid upon purchase of a return ticket when the visa expires, or alternatively, to pay for a conversion to an immigrant visa
-$15,000 to the revenue to help pay for INS/ICE and the bureaucrats to process the application
-$5,000 to a company that cancels an H-1b application to hire a US Citizen

There is a way to us DNN/LLM "AI"s correctly; use them like a search engine.

Ask a hyper specific question, and scrutinize the answer given thoroughly.

In the same way that crowdsourced intelligence made google a useful tool for search, and social media created a great pool of questions and answers for that search to run over, DNN's are just an extension of search.

They are a wonderful improvement in the areas of (1) parsing the query and (2) re-jiggering the resultant hits.

(1) They can decode the user's question more accurately, and get a more searchable rewording of what the user is really looking for. Previous incarnations of search really needed you to find a magic word that matched perfectly to get the hits, and when you were using common words it became near impossible. But large language models seem able to do that with a much higher accuracy rate, and dont get hung up without magic keywords or magic phrases.

(2) Instead of merely presenting a raw list of sources, the LLM's actually read the pages, and try to parse out the specific bits you are searching for and ignore the rest of the page. They can also, to a limited extant, specialize the answer to match the query, based on interpolation of the page content. Again this is something that was previously impossible, and saves human time.

I would say, with judicious use of a search-engine DNN/LLM, any programmer should expect perhaps a 1% to 2% productivity increase on average.

Any programmer who tries to ask it to write code or solve problems will likely eat the worm, and suffer a 20%-50% decline in real productivity. Hopefully, any programmer caught doing this would face some kind of disciplinary action.

EVs would be residential, not wholesale, pricing.

Big AI Data Centers would be wholesale pricing.