"AGI" was never mentioned once and it was you being the exit liquidity for the insiders and early investors.
[–] origini 3 days ago
[–] metobehonest 3 days ago
- AI is a useful tool and we're still seeing steady improvements in performance and efficiency
- There is a bubble in the stock market, fed by unrealistic expectations of what AI can achieve in the timeframes the investments need to provide returns in (e.g "AI is pretty useful and delivers productivity improvements in coding, law and other desk jobs" vs "in 12 months everyone will be out of a job and/or humanity will be exterminated, AGI is almost here, winner takes all")
So yeah, the schizophrenic Yudkowsky tier hype bullshit should hopefully disappear soon and then we can move on to something else.
[–] JacobAsmuth 3 days ago
No one serious cares if there's a bubble in the stock market because the financials are solid and when those play out then whatever "bubble" you imagine exists today will be small compared to realized revenues in a few years.
[–] metobehonest 3 days ago
If the financials were "solid" it wouldn't be called a bubble. People are pointing to the bubble saying it's a bubble exactly because the financials are not solid and the expected revenue that would make the valuations and investments make sense is vaporware.
[–] JacobAsmuth 3 days ago
[–] wolttam 2 days ago
- the utility of the models is not that great (see almost every company outside of tech and even many within tech reporting “no measurable increased revenue or productivity as a result of adopting the technology”.
- China has been undercutting them hard with open-weight models that are “good enough” for 95%+ of use-cases, leaving only the hardest problems for OpenAI and Anthropic’s models, which it turns out isn’t where there is a ton of money to made (curing various forms of cancer is valuable but not “let’s dump trillions on these companies” valuable - and once their models can solve it, it probably won’t be long before others do too).
People want these models on their own hardware. People will (eventually) want these models running on robots that can do real work for them, and they won’t want those things tethered to an insecure and privacy eviscerating cloud subscription.
The money to be made is in selling hardware, as it should be.
Anthropic’s S1 still shows them not even breaking even on revenue/expenses during what was probably their biggest year of adoption, right before people started going “oh, I can do this with an open model”
I’m not saying anything new here. What are we missing?
[–] JacobAsmuth 2 days ago
OpenAI seems to be in a much tougher spot and I'm not sure how they'll fare in the future.
But honestly, neither of those really matter to me and its why I didn't mention them in my above comment. Anthropic + OpenAI revenue is ~$120B/yr, and even if those companies go to zero because open models commoditize their business model, that demand for inference isn't going to go away, someone will need to absorb it. In fact I would expect that an open model good enough to drive demand for Opus 5.5 all the way down to zero would be so good that inference on that model would drastically exceed what we're seeing. I'm more concerned with one layer up, the datacenter builders and the semiconductor companies, and there I see fortress balance sheets, great governance, and massive demand. Open Models are great for these companies, not a threat at all. I don't see any credible threat to AWS+Azure+GCP datacenter buildout not paying for itself.
[–] metobehonest 3 days ago
[–] JacobAsmuth 2 days ago
2. Burry has repeatedly made claims about semiconductors and semiconductor manufacturers that even the most rabid anti-ai industry expert would tell him were false. He also has made dozens if not hundreds of predictions of impending doom that simply did not come true and in fact had to shutter his fund last year due to massive losses.
[–] origini 3 days ago
There are a few numbers of scaling laws, i'm pretty sure VCs want to see being hit. Just to see what will happen when you scale an LLM to 100T Parmeters.
[–] itomato 3 days ago
Nobody is in control but Taiwan Semiconductor. Not Samsung, not Micron, not Nvidia.
Orders that can't be fulfilled get canceled. Canceled orders mean canceled plans and canceled companies follow.
Someone bigger will buy the husk and monetize it somehow - probably for gambling.
[–] origini 3 days ago
No one else has and in this current setup, the disurption of this particular market is very very very very expensive and time consuming.
Companies like Google will not go bust and can easily afford future develoopment.
Amazon and Microsoft have to keep investing (they can also afford it) to not loos to Google.
What Anthropic and OpenAI are doing is for sure THE frontier (regarding benchmarks, speed etc.) but in paralllel DeepSeek for sure is not bankcrupting anything on their investment side and are also progressing.
Are you only talking about investment itself for a handful of companies? Because alone Nvidia has so many backorders, they can't deliver wht was ordered for the full 2027 and A LOT of peple also want other things from Nvidia or from the industry like Gaming Chips, normal GPUs, Gaming GPUs, Memory etc.
Opus 5.5 just came out and made progress, i'm not seeing any slowdonw on HN regarding new relevant progress in broad ML topics.
So what hype will disappear soon? The progress in the ML space?