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▲ dinfinity 4 hours ago

> I think the rest of us should rest easy knowing that LLM's can't [...]

What if (when?) (AI-assisted) research moves AI beyond LLMs? Do you think that can't happen?

▲kubb 3 hours ago | parent [-]

Not in the next decade. Won't get funded.

▲dinfinity 2 hours ago | parent | next [-]

Private investment in the US has grown from 100 billion in 2024 to almost 300 billion USD in 2025 [0]. Add public investments worldwide and private investments in at least China and Europe.

I'm pretty sure money is not going to be the blocker.

[0] https://hai.stanford.edu/ai-index/2026-ai-index-report

▲ 2 hours ago | parent | next [-]
[deleted]
▲kubb 2 hours ago | parent | prev [-]

The money will go to LLMs.

▲dgellow 2 hours ago | parent [-]

Why not both? You don’t need 1trillion allocated before you have a proof of concept to demonstrate your non-LLM model, and once you have a PoC you will definitely have the larger investors interested

▲kubb 2 hours ago | parent [-]

You will need 100s of billions to make a viable POC.

▲dgellow an hour ago | parent [-]

For a PoC? That sounds very unlikely. I think you’re off by at least 2–3 orders of magnitude

▲drysine 2 hours ago | parent | prev [-]

Advanced Machine Intelligence (AMI), a new Paris-based startup cofounded by Meta’s former chief AI scientist Yann LeCun, announced Monday it has raised more than $1 billion to develop AI world models.

LeCun argues that most human reasoning is grounded in the physical world, not language, and that AI world models are necessary to develop true human-level intelligence. “The idea that you’re going to extend the capabilities of LLMs [large language models] to the point that they’re going to have human-level intelligence is complete nonsense,” he said. [0]

[0] https://www.wired.com/story/yann-lecun-raises-dollar1-billio...

▲kubb 2 hours ago | parent [-]

Now check how much OpenAI got in their last funding round, and you have your answer.

▲DennisP an hour ago | parent | next [-]

I don't think it's valid to draw broad conclusions from the funding of a new company vs. an industry leader. If AMI builds something that looks impressive considering the funding they got, then they'll get plenty more in the next round.

▲dinfinity 14 minutes ago | parent [-]

He must be trolling.

AI is hands down the most researched topic in CS departments. Of the 10 largest companies (by market cap), only 3 aren't balls-deep in AI R&D. The fastest growing (private or public) companies by revenue are also almost all companies focused primarily on AI (Anthropic, OpenAI, xAI, Scale AI, Nvidia).

And the money isn't even the most important part. It's all about mindshare and collective research time. The architectural concepts can be researched and developed on top of open models, so even individual relatively poor researchers unaffiliated to anything can make breakthroughs.

Even the computing required for the legendary "Attention is all you need" paper could probably be recreated on con-/prosumer hardware in a month's time.

▲drysine an hour ago | parent | prev [-]

1B is what Microsoft invested in Open AI in 2019[0]. That was enough to get the ball rolling.

[0] https://en.wikipedia.org/wiki/OpenAI#Creation_of_for-profit_...