Supposedly the change of heart came after “the first security incident that I have felt very viscerally,” the Huggingface escape. To me it sounds like he’s worried about the competition breathing down his neck and wants someone to come in and call a time-out.
Every “Sam Altman said…” headline can be summed up as:
“Manipulative liar says whatever he thinks his audience wants to hear.”
“Tech crypto grifter says thing to grift people with crypto, tech or both. More at 11”
Although i cant imagin any sign of a pullback would be good for any of the companies in the AI bubble. While probably not important on the specifics of what he is saying it is a “we should slow down” which the market aint gonna like. No breaks on this gravy train Sammy boy!
…to attract more inversement.
He is just like Elon Musk a tech bro con man that has the backing of some of the richest companies and people in the world.
Way to get ahead of the slowdown Sam. Control the narrative. You “chose” to scale back.
“Actually we almost made the A.I. too good and it scared me cuz of how good it was”
You can tell when Altman is lying by noticing that his mouth is open.
Sufficient but unnecessary imo.
Sometimes he lies in print, tbd whether he talks out the words when he types.
Likely translation: scaling their models is hitting diminishing returns, while the business world is slowly realizing the math ain’t mathing and they’re not suddenly 10x more efficient and profitable than before LLM adoption.
So Sammy and the others need a plausible cover story why capabilities aren’t evolving at break neck speed anymore, to prevent their beautiful bubbly bubble from crashing down on them
Let’s hope they get the Enron treatment for their actions
I’m thinking more French revolution treatment.
Sweet! Who are you hoping the next Napoleon will be?
Exactly. Who tf actually believes this crap?
This is the part I don’t get. No learned model I’m aware of scales well forever. Eventually, funneling more data just isn’t going to do the trick.
Feds made them be the fall guy though. Data centers are new infrastructure for the government to use. That’s the main reason for all this ai bullshit. Chapgpt and this consumer grade bullshit is the unplugged video game controller they gave us to makes us feel special and a part of something while THEY play “The Game”.
An expansion of the above; https://reddthat.com/comment/28125951
Sadly it’s way more banal and boring than that.
while THEY play “The Game”
And I just lost it.
Company can’t keep up with competitors, claims it is for altruism
He should accelerate himself off a cliff.
Sam is a con man, why is anyone listening to him.
because of near-constant media stories like this one
Or they have hit a wall.
Yeah, we’ve definitely been seeing diminishing returns with the latest frontier models. I think that’s why when GLM and Kimi come in at 1/5 the price of Opus but are just as good, or when Deepseek comes in at 1/10 the price and is catching up quickly, they have to worry. There may be nowhere for them to go.
I’d like to hit his head against a wall, multiple times.
How much of the costs of open AI is R&D
Why do we care that some greedy bastard is doing a fake apology tour?
Because he’s a greedy bastard with the ear of every head of state, standing at the top of a $1.6T pyramid scheme we’re all tangled up in.
We gotta stop worshipping these guys because they have power’s ear. The people are way, way more important than lil’ sammy whatsisname?
BREAKING: A Billionaire Said Some Bullshit.
I know downvotes are generally frowned upon here… But c’mon. This ain’t what we should be hyping up attention for.
LOL…those graphs didn’t infinitely extrapolate Sam?
99% of failed companies are from graph extrapolation in board rooms.
Stop paying attention to this lying fuckwad.
Ahhh yes, decelerate into the singularity. We wouldnt wanna ram it full speed, it might break!
He wants regulations to kill the competition. Open source is gonna get fucked in the coming months. The whole media campaign has been specifically for this.
Sorry if this is a dumb question but I keep seeing open source and open weight when talking about LLMs. Are these two terms interchangeable? If not, what do they mean and which is correct?
Open weight is like getting a compiled binary with no source code. Without the training data and pipeline code, once the original developer stops releasing new versions, it’ll be difficult for the community to pick up and keep going.
For example, if Alibaba decides to only release trillion parameter models from now on, Qwen 3.6 may be the most intelligent Qwen model that will ever run on consumer hardware.
They mostly are interchangeable for most people but almost none of the llm weights are properly open source.
They don’t always give the training scripts and never the actual data so it isn’t reproducible. The data isn’t really feasible to give. A lot of them release papers at the same time where they explain the training with snippets and how it works, but it’s not the same as receiving a script.
That being said, some get really upset and stress the distinction but it’s a bit silly imo. If it’s free and easily fine tunable, I don’t really see the issue of calling it open source. Giving the data for it would open them up to lawsuits from the copyright mafia and wouldn’t bring much to the table. Training these models is completely out of reach for individual and small to medium sized organisations.
Training a small model was more than a million dollars in compute a year or two ago.
The competition is Chinese and doesn’t give a fuck about US regulations.
If it was, then it spectacularly backfired. Support for open-weight models is greater than ever before, both from the general public and tech giants.
In the wake of OpenAI agents attacking Hugging Face, Nvidia has recruited a new posse of partners to promote open source models as the security solution the industry needs. The AI arms dealer announced the foundation, the Open Secure AI Alliance, in a blog post today, describing the mission of the group being “to ensure defenders everywhere have open, frontier tools they can trust and control.”
Partners in the group are numerous, ranging from established tech giants like Microsoft, Red Hat, HPE, IBM, and Adobe to newer groups like Palantir, SpacexAI, Hugging Face, and The Linux Foundation. What all the founding members have in common, Nvidia said, is that they agree open source AI models are a fundamental part of modern cybersecurity, just like prior open source tech has been for the infosec space.
Tech giants link hands to praise open AI models after OpenAI - Hugging Face attack
Edit: typo fix
