Any model ran takes compute. Everybody, datacenters and local need compute.
And I don't see a future where datacenters lose much to open models. I've ran local server rooms before clouds were a thing. Cooling and power is a very expensive pain in the ass. You're not dropping a rack of local models in most buildings without breaking the local power grid.
What about when the open models get to the point that you don’t need these fancy GPUs? It seems inevitable this will happen over time, we see cracks right now within even just GPT w/ expert streaming and flash attention. ASICs are coming soon too.
AWS and Azure would love to cut out OpenAI and Anthropic and sell inference on open models directly to businesses with no cut to share, just as AWS serves other open source software.
Open models are great for everyone except anthropic and OpenAI.
Maybe but they make their real money in data centers. Certainly, they want to have fingers on every trend. Owning something the Government wants to control gives you more access to trade repression of open models for more Government favors and money.
The Government plans to regulate open source ai. Nvidea is dependent on the Government to back loans, provide property, and make laws in their favor. Now they have ownership of what the Government wants to control. A perfect wedge they can use to get more from the Government.
It feels like with fewer foreign students college's will have to open more slots to those who can be reasonable ready to be successful and also pay full rate.
My son is in a lawsuit with his bank where they put through fraudulent charges and wouldn't charge them back then the bank sued him for the money. He is using Claude and Gemini fighting the original lawsuit and now has a counter-suit 100% using AI for everything. He puts it into different AI's to check everything against each other and to come up with more ideas. He started with ChatGPT, moved to Grok, then Claude, but now Gemini is turning out to be the strongest.
I'm about as pro-AI as anyone here. I say this with love: anyone using general-purpose, consumer-grade AI for healthcare, law, or taxes is mad. Best wishes to your son, bless his heart, but please have him consult a qualified lawyer before showing up to court with model-drafted legal documents. Among other things, those chats are not privileged information[0] and the banks could subpoena chat transcripts to see what else he might have told them.
He has had multiple hearings and the Judge has reviewed everything. The court clerk reads every submission and before the clerk puts it in the system they have a in-house lawyer review each document. This is pretty far along. The trial is scheduled for October of this year.
The bank has a lawyer, they were hoping for a default judgement because who can afford to fight the bank. The choice is fight it yourself or declare bankruptcy.
As you already know, AI companies trained on every single document they can find. Those include legal documents. The legal system is structured where you have Federal Laws, State Laws, Federal & State Regulations and Court Precedent. Because of this structure it is not difficult for a LLM to figure out.
I'm curious if you can have a judge XYZ skill where you have an ai analyze how that judge ruled for certain judgements in the past, and how similar lawsuits/arguments did in front of them. Might help to angle the ai's findings a tad, or might also not be worth the effort. Both are possible
Good luck to him. I get worried about people using AI for serious work in a field they aren't specialized in, but if it helps him achieve a good outcome, that would be interesting.
I have often felt that the legal system is divided between haves and have-nots: if you can afford to participate, you get "justice" tilted toward you. Easier participation for those without the resources for a lawyer would be good.
The second article I linked, from the MIT Technology Review, is quite interesting. It seems like judges are experiencing some version of what open source maintainers and seniors at companies are experiencing: a much larger review burden due to the cost of generating code or legal arguments dropping drastically.
I wonder what form this structural shift in output versus specialist review capacity will take in other professions. The frontier labs seem to be trying to automate more and more of the "specialist review" process. I am not sure that is feasible in the legal world, but we'll see....
Ok, but curb cuts also positively impact wheelchair users, people with canes or walkers, people with injuries that require crutches or a knee scooter, parents with strollers, people with rolling bags, cyclists, delivery workers and more. They are widely understood to benefit many many people beyond just people with disabilities (so much so that their benefit has given a name to the "curb cut effect").
Also, $60k/year is a) not nearly enough to pay a contractor full time living wage and b) not enough to cover the greater than full time necessary to assist someone. Blind people need to navigate the world at all hours on all days...
reply