Curious about the deal value/price — any clues whether it was just to make existing investors even (so say up to $30M) or are we talking some multiple? But if it's a multiple, even 2x sounds a bit crazy.
Readit Newsiyn commented on Building more with GPT-5.1-Codex-Max openai.com/index/gpt-5-1-... · Posted by u/hansonw
Rest assured that we are better at training models than naming them ;D
- New benchmark SOTAs with 77.9% on SWE-Bench-Verified, 79.9% on SWE-Lancer, and 58.1% on TerminalBench 2.0
- Natively trained to work across many hours across multiple context windows via compaction
- 30% more token-efficient at the same reasoning level across many tasks
Let us know what you think!
Looks like a great change! I'll take it for a spin in a moment.
I really like the "subagent" feature in Claude Code — it's super useful to manage context in complex codebases. Here are some examples of agents that can be useful: https://github.com/humanlayer/humanlayer/tree/main/.claude/a...
Would it make sense to have a similar feature in Codex CLI? I often do "spec-driven development", which is basically a loop of:
research -> implementation plan -> actual implementation (based on research + plan) -> validation
Codex CLI is great and I use it often but I'd like to have more of these convenient features for managing context from CC. I'm super happy that compaction is now available, hopefully we'll get more features for managing context.
I was in my late teens at the time. My memory is that I felt like the tech was definitely going happen in some form, but I rolled my eyes heavily at the idea that AT&T was going to be the company to do make it happen.
If you’re unfamiliar, the phone connectivity situation in the 80s and 90s was messy and piecemeal. AT&T had been broken up in 1982 (see https://www.historyfactory.com/insights/this-month-in-busine...), and most people had a local phone provider and AT&T was the default long-distance provider. MCI and Sprint were becoming real competition for AT&T at the time of these commercials.
Anyway, in 1993 AT&T was still the crusty old monopoly on most people’s minds, and the idea that they were going to be the company to bring any of these ideas to the market was laughable. So the commercials were basically an image play. The only thing most people bought from AT&T was long distance service, and the main threat was customers leaving for MCI and Sprint. The ads memorable for sure, but I don’t think they blew anyone’s mind or made anyone stay with AT&T.
Thanks for that context. Was your expectation/prediction about that tech that it was going to happen in say 2000s or sooner/later?
There's no way I'm trusting the current driving cohort with a third dimension. If we get flying cars and they aren't completely autonomous, I am moving to the sticks.
Self-flying cars? I wonder if it's actually easier to have autonomous vehicles operating in 3D than in "2D".
To your point, AT&T's "You Will" commercials started airing in 1993 and present both an optimistic and fairly accurate view of what the future would look like.
I didn't know about these ads, thanks for sharing! Can't imagine how people reacted to that when they aired — the things they described sound so "normal" today, I wonder if it was seen as far fetched, crazy or actually expected.
iyn commented on OpenAI Needs $400B In The Next 12 Months wheresyoured.at/openai400... · Posted by u/chilipepperhott
Suffice it to say this is not the first time Ed Zitron has been egregiously wrong on both analysis and basic facts. It's not even the first time this week.
I wrote a post about his insistence that the "cost of inference" is going up. https://crespo.business/posts/cost-of-inference/
Solid post, thanks for sharing. Zitron occupies his own echo chamber. I've seen some people share links to his articles with a smirk as a "proof" of how "bullshit LLMs are" — and I know for a fact that they have no understanding of LLMs or how to evaluate limitations, saying nothing about unit economics. Sadly, I don't think it's possible to reason with them.
To be clear, I do expect that the bubble will burst at some point (my bet is 2028/2029) — but that's due to dynamics between markets and new tech. The tech itself is solid, even in the current form — but when there's a lot of money to make you tend to observe repeatable social patterns that often lead to overvaluing of the stuff in question.
Does anyone know how skills relate to subagents? Seems that subagents have more capabilities (e.g. can access the internet) but seems that there's a lot of overlap.
I've asked Claude and this it answered this:
Skills = Instructions + resources for the current Claude instance (shared context)
Subagents = Separate AI instances with isolated contexts that can work in parallel (different context windows)
Skills make Claude better at specific tasks. Subagents are like having multiple specialized Claudes working simultaneously on different aspects of a problem.
5000 n8n workflows that made me millions. 1 n8n workflow that made me 5k per hour...
It's an okay product I appreciate that it's selfhosted with good documentation but they absolutely destroyed their brand with excessive affiliate marketing and now nothing of substance is left if you search for it anywhere.
Can you share some examples of the workflows that you had success with?
I don't know where the Overton Window is today, but it's a long way from Jimmy Carter's peanut farm.