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67% Positive
Analyzed from 755 words in the discussion.
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#dots#cloud#cursor#stuff#model#anthropic#jev#useful#agents#slack
Discussion (19 Comments)Read Original on HackerNews
The stuff that came off as potentially exciting was the ultrafast stuff available only to Pro 500 users.
The reset button stuff was an embarrassment. Everything that was released today, in respect to the hype that the team projected on twitter, was a failure. The internal OpenAI slack is a hell of an echo chamber.
The crowd lost their minds before Sam even told them what Dots were.
He even called them out on it when announcing 6.1 Sol "You don't even know what it is yet"
Maybe they were cheering on The Muppets inspired AI avatars, resembling Kermit, Scooter etc.
https://www.theverge.com/ai-artificial-intelligence/1002033/...
(I remember that being the explanation of why people would cheer at very lame things at Apple events.)
Feels huge. Sounds like Luna on their Ultrafast infra.
I did some internal benchmarking and found that GPT 6 Luna in batch mode at 20 records per batch was about 1.6x faster at 1.2x the cost of Jev with no tradeoff in accuracy. Tuning it up/down would make it faster per-record while also reducing the cost (assuming accuracy holds). Though this was only useful for offline processing.
- Cloud Agents are awesome, super useful, I can't go back to working locally only
- Dots have a cheesy name, but they remind me of a more polished version of Cursor Projects, which I just started using this week. You talk to a single agent who serves as orchestrator and organizer, and spins up cloud agents as needed to do research and implementation tasks. So you can just dump stuff into the thread without worrying about interrupting ongoing work. Works great.
- Sign in with ChatGPT: how is this not major news? They're launching with partnerships with a bunch of harnesses so you can use your subscription outside of Codex.
- Slack integration: now that they have cloud agents, this is a no-brainer, cursor's slack integration is endlessly useful to me. I'm constantly tagging notifications from various services that get dumped into slack and having a cloud agent dig into more details or fix an issue
I could go on, 6.1 sol, ultrafast, etc. Wild that you think all this is useless. I guess we just work very differently.
Based on how fast they rushed out a competitor (and the anti-Jev astroturfing), it seems that Jev is much more of a threat to OpenAI than they want to admit. Other than coding it seems the other high volume use case for LLMs is business automation, and for a lot of that all you need/want is indeed just a decision/classifier model.
Extensions into codex also seem cool.
The provider also eating the application stack at the same time, doesn't make too much sense. I don't want my team going all in on one provider versus the other. (things like the docs/slides/sites).
Hahahahhahahaha