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Chaz
3.4K posts
Chaz
@chaz
Founder, https://t.co/Bz4K6A2GiB
New York, NY Katılım Temmuz 2006
832 Takip Edilen1K Takipçiler
@arvidkahl What would you say the median response time is? A couple of hours?
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If you do AI inference via OpenAI’s API, you should use the flex tier for half price.
My requests always try to use flex tier first, and on 429 / 500 errors, I use the default service tier. 95% of my requests are flex.
2 tries flex, then fall back to standard. Massive cost cut.
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@wesbos Japan made it illegal x.com/ryo_saeba_3/st…
⛩ Ryo Saeba | Japon XYZ ⛩@Ryo_Saeba_3
Au Japon, les images utilisées sur les emballages alimentaires sont strictement encadrées par la loi : elles ne doivent en aucun cas induire le consommateur en erreur. C'est pour ça que souvent les produits ont la même taille que sur l'emballage #Japon
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@i_am_brennan @ryancarson I've been using OpenAI's ExecPlans for months and they've been great, esp large, multi-release staged projects. Also valuable to commit them with the project so future agents can read about it.
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@ryancarson I do “ExecPlans” (OpenAI’s prompt template) and then the linear ticket is just “read the exec plan do milestone 1”
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This works well for me:
1. Plan mode in Codex on xHigh
2. Copy markdown plan
3. Paste md plan into Linear issue and Symphony takes it all the way to human review (or auto merge of low risk)
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@ashleymayer I was thinking the same. ChatGPT gets the headline, but he's clearly willing to run through walls. ChatGPT only helped him find which walls. Lucky dog!
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Can we make this the go-to example for "agency"?
Alec Stapp@AlecStapp
You can just do things (genetically sequence your dog’s tumors and design a bespoke mRNA cancer vaccine to save her life)
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I’ve been using OpenAI’s ExecPlans for 6 months, and it still works better than any planning mode.
developers.openai.com/cookbook/artic…
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YouTube
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what's the fastest path to "aha!" w/ @openclaw for someone who's not a completely insufferable nerd?
(i'm the completely insufferable nerd. my wife, however, is entirely pleasant. she's heard me ranting about 🦞 for weeks, so i'm trying to onboard her without overwhelming her)
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Tough lesson, but it isn't "don't let LLMs do ops work." It's that old stuff still matters: expertise, policies, and procedures. (ie, engineering)
Alexey Grigorev@Al_Grigor
Claude Code wiped our production database with a Terraform command. It took down the DataTalksClub course platform and 2.5 years of submissions: homework, projects, and leaderboards. Automated snapshots were gone too. In the newsletter, I wrote the full timeline + what I changed so this doesn't happen again. If you use Terraform (or let agents touch infra), this is a good story for you to read. alexeyondata.substack.com/p/how-i-droppe…
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Pay Twitter's ransom. Find out I can't reply more today (I've only replied a few times) and then try to do the fix 🤣
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Reached the stage of parallel agent psychosis where I've lost a whole feature - I know I had it yesterday, but I can't seem to find the branch or worktree or cloud instance or checkout with it in
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Cracked the top 100 in @usemonologue. Next stop: top 1%.
99% of this was just talking to agents
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OpenClaw has problems today that other projects and companies don't have, but will tomorrow when agents go 100x. Startups in this space should take notice.
Peter Steinberger 🦞@steipete
PRs on OpenClaw are growing at an *impossible* rate. Worked all day yesterday and got like 600 commits in. It was 2700; now it's over 3100. I need AI that scans every PR and Issue and de-dupes. It should also detect which PR is the based based on various signals (so really also a deep review is needed) Ideally it should also have a vision document to mark/reject PRs that stray too far. This can't be fully automated, but even assisting would help. The closes I found is an obscure oss project. How's no startup working on this?
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@TheCraigHewitt Claude Code has better DX but Codex has been my daily driver for months because it's a better workhorse.
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i'm a huge Claude Code fanboy - but GPT 5.3 Codex is strong.
Going on 4 hours on a project with almost no errors.
existential crisis ensuing.
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Models are a bit more like people than many assume by default.
A post I see often is "Opus was stuck on this bug all day and then Codex solved it immediately, so I'm switching."
But wait.
In the old days when we wrote code by hand, this was an extremely common occurrence!
You'd be stuck on a bug for hours, finally call a colleague over, and they'd spot it in seconds. Because people have different strengths, and coming in with fresh eyes helps a lot.
The bug that Opus couldn't see is obvious to Codex with a fresh context window. But the reverse is likely true for a different task.
This, by the way, is why pair programming is so powerful.
It's way harder to stump two intelligences simultaneously. Their disparate strengths make them harder to block. They can catch their pair's mistakes, and sharpen each other by sharing hard-won lessons.
Hmm.
Thorsten Ball@thorstenball
@bretajohnson Replace "Opus 4.6" with "Senior Engineer #1" and "Codex 5.3" with "Senior Engineer #2" :)
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