173
GPT-5: Overdue, overhyped and underwhelming. And that’s not the worst of it.
(garymarcus.substack.com)
you are viewing a single comment's thread
view the rest of the comments
view the rest of the comments
this post was submitted on 10 Aug 2025
173 points (98.3% liked)
Technology
3848 readers
776 users here now
Which posts fit here?
Anything that is at least tangentially connected to the technology, social media platforms, informational technologies and tech policy.
Post guidelines
[Opinion] prefix
Opinion (op-ed) articles must use [Opinion] prefix before the title.
Rules
1. English only
Title and associated content has to be in English.
2. Use original link
Post URL should be the original link to the article (even if paywalled) and archived copies left in the body. It allows avoiding duplicate posts when cross-posting.
3. Respectful communication
All communication has to be respectful of differing opinions, viewpoints, and experiences.
4. Inclusivity
Everyone is welcome here regardless of age, body size, visible or invisible disability, ethnicity, sex characteristics, gender identity and expression, education, socio-economic status, nationality, personal appearance, race, caste, color, religion, or sexual identity and orientation.
5. Ad hominem attacks
Any kind of personal attacks are expressly forbidden. If you can't argue your position without attacking a person's character, you already lost the argument.
6. Off-topic tangents
Stay on topic. Keep it relevant.
7. Instance rules may apply
If something is not covered by community rules, but are against lemmy.zip instance rules, they will be enforced.
Companion communities
[email protected]
[email protected]
Icon attribution | Banner attribution
If someone is interested in moderating this community, message @[email protected].
founded 2 years ago
MODERATORS
Seemed a likely outcome. On the way to being late, there were stories where basically they spent ungodly amounts of money in an attempt and then scrapped it because it wasn't actually any better. And that this happened multiple times.
So if they were truly stuck, what to do? They could admit they were stuck, and watch the economic collapse as investors realize they were mistaken on how far along the technology curve things were, or they could market the hell out of GPT-5 and pretend it's amazing and hope enough suckers and latecomers to LLM buy into that narrative that it carries through. Like Sam Altman acting 'scared' of what GPT-5 is going to be, "what have we done?" in a very melodramatic way like he's Oppenheimer or something, likening it to the Death Star (all in all, a very 'wtf' situation, if it were really as dangerous as you say, you seem awfully eager to get it going).
So we have an incremental iteration with some good, some bad, and perhaps overall better, but in the context of the ungodly investment in the LLM sector, it's way way less than would should reasonably expect.
It's been obvious, since early 2025, that they are chasing the next step change but not getting any closer to it. OpenAI is in a catastrophic financial position and it's hard to imagine a scenario where it gets any better.
Ironically, I think only AGI could get them out of this pickle, but even they are starting to realize it's not around the corner.
AGI might be just around the corner, or it might be indefinitely far off, but either way I don't think "just more LLM" is going to get there, and that seems to be all the AI industry is really equipped to handle at the moment.
Ironically, getting to AGI might take a bubble pop to stop the current LLM architectures from just sucking up all the resources to let other approaches breathe a little.
More practically, I'd have expected to see more engaged robotics, but it seems all the money is being spent on pure online AI approaches.
Seriously. Neural networks can approximate literally any function, and the lumbering giants have all decided 'what's the next word?' is the only function worth pursuing.
It'd take a sliver of their current budget to try starting over like it's 2020. Compare with benchmarks that now look quaint. Enjoy some wisdom where previously they could only guess. Buuut nope: all LLM, all the time, and big big big.