"Orion’s problems signaled to some at OpenAI that the more-is-more strategy, which had driven much of its earlier success, was running out of steam." So LLMs finally hit the wall. For a long time, more data, bigger models, and more compute to drive them worked. But that's apparently not enough any more. Now someone has to have a new idea. There's plenty of money available if someone has one. The current level of LLM…
GPT-5 is behind schedule
161–170 of 1001 posts
Re: GPT-5 is behind schedule
#162Earlier quoted context omitted.
There’s nothing grammatically offensive about this. It’s like saying, “Cars come in all colors. Mine is red.”
No, I'm complaining that just because GPT-4 is called GPT-4 doesn't mean it's the fourth LLM from OpenAI. Off the top of my head: GPT-2, Codex, GPT-3 in three different flavors (babbage, curie, davinci), GPT-3.5. Suggesting that GPT-4 was "fourth" simply isn't credible. Just the other day they announced a jump from o1 to o3, skipping o2 purely because it's already the name of a major telecommunications brand in Europ…
Re: GPT-5 is behind schedule
#163Earlier quoted context omitted.
There's someone with this comment in every thread. Meanwhile, no one answers this because they are getting value. Please take the time to learn, it will give you value.
> Meanwhile, no one answers this because they are getting value. You're literally doing the same thing you're accusing of. Every HN thread is full of AI boosters claiming AI to be the future with no backing evidence. Riddle me this. If all these people are "getting value", why are all these companies losing horrendous amounts of money? Why has nobody figured out how to be profitable? > Please take the time to learn,…
Re: GPT-5 is behind schedule
#164Re: GPT-5 is behind schedule
#165Re: GPT-5 is behind schedule
#166Earlier quoted context omitted.
What wall? Not a week has gone by in recent years without an LLM breaking new benchmarks. There is little evidence to suggest it will all come to a halt in 2025.
O3 has demonstrated that OpenAI needs 1,000,000% more inference time compute to score 50% higher on benchmarks. If O3-High costs about $350k an hour to operate, that would mean making O4 score 50% higher would cost $3.5B (!!!) an hour. That scaling wall.
Re: GPT-5 is behind schedule
#167Earlier quoted context omitted.
What wall? Not a week has gone by in recent years without an LLM breaking new benchmarks. There is little evidence to suggest it will all come to a halt in 2025.
O3 has demonstrated that OpenAI needs 1,000,000% more inference time compute to score 50% higher on benchmarks. If O3-High costs about $350k an hour to operate, that would mean making O4 score 50% higher would cost $3.5B (!!!) an hour. That scaling wall.
Combine that with the fact that LLM inference has reduced orders of magnitudes in cost the last few years and hampering over the inference costs of a new release seems a bit silly.
Re: GPT-5 is behind schedule
#168Earlier quoted context omitted.
I completely don't understand the use for synthetic data. What good it's it to train a model basically on itself?
This is a good read for some examples https://arxiv.org/abs/2203.14465 > This technique, the "Self-Taught Reasoner" (STaR), relies on a simple loop: generate rationales to answer many questions, prompted with a few rationale examples; if the generated answers are wrong, try again to generate a rationale given the correct answer; fine-tune on all the rationales that ultimately yielded correct answers; repeat. We show…
Re: GPT-5 is behind schedule
#169Earlier quoted context omitted.
What wall? Not a week has gone by in recent years without an LLM breaking new benchmarks. There is little evidence to suggest it will all come to a halt in 2025.
Sure, but "benchmarks" here seems roughly as useful as "benchmarks" for GPUs or CPUs, which don't much translate to what the makers of GPT need, which is 'money making use cases.'
Re: GPT-5 is behind schedule
#170Earlier quoted context omitted.
Great improvements and all, but they are still no closer (as of 4o regular) to having a system that can be responsible for work. In math problems, it forgets which variable represents what, in coding questions it invents library fns. I was watching a YouTube interview with a "trading floor insider". They said they were really being paid for holding risk. The bank has a position in a market, and it's their ass on the…
> ChatGPT (as far as I can tell) is no closer to being accountable or responsible for anything it produces. What does it even mean? How do you imagine that? You want OpenAI to take on liability for the kicks of it?
If a system is providing incorrect medical diagnoses, or denying services to protected classes due to biases in the training in the training data, someone should be held accountable.