kakugawa

Joined 19 years ago

Karma
200
Submissions
50
Member since
Apr 1
@kelvin
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Recent submissions

Comment · 3 days ago
It also lets you message between Claude Code and Codex sessions. If you're using Claude Code, their built-in messaging system only can see/message other Claude Code sessions (for obv reasons).

This is an unlock, because these companies will (prob) never build this feature.

Comment · 12 days ago
You're paying for effective token usage. You've simplified "automation" to mean "perfect automation". That's not going to happen for a long time, and likely never.

However, automation may likely become good enough that an SME can build the initial system to bootstrap the business. Not scale the business, but enough to prove that it's viable.

Comment · 1 month ago
I love the concept, but the `.chatgpt.site` suffix reflexively makes me think of those early-2000s era sites.
Comment · 1 month ago
Isn't this what this sounds like? You self-host Turso at the start, and you can gracefully scale to managed Turso (cloud), then to managed Postgres (Supabase). And Turso has experimental support for a Postgres frontend (alongside the SQLite frontend).
Comment · 1 month ago
Jev's value becomes more apparent when the task is a moving target. eg an auto-mode classifier.
Comment · 1 month ago
Here are a couple examples from r/ClaudeAI:

Made entirely with Opus 5.5 + $3.21 of OpenRouter API usageClaude Code Workflow

https://www.reddit.com/r/ClaudeAI/comments/1wogab3/

Jaw literally dropped. I ran the prompt from the "Made entirely with Opus 5.5" post on my own project. Here's what Claude Code made on its own for about $4.Claude Code Workflow

https://www.reddit.com/r/ClaudeAI/comments/1wovwao/

Comment · 1 month ago
They can only do it in the (narrow) domains that are verifiable.
Comment · 1 month ago
I assume you'd develop via the SDK, then deploy it via the API.
Comment · 1 month ago
It's not a coincidence that Waymo started becoming viable after GPT-3.
Comment · 2 months ago
Comment · 2 months ago
https://www.youtube.com/watch?v=c2yCePPnrSA

Their analogy is that a VLM responds to text, like their interface model responds to clicks. There is no UI (just images), and based on your clicks the model infers your intent and adapts the "UI" in response. So, instead of inferring intent from an information-dense input (text), they do it w/ just mouse-based gestures? I would love to see how this holds up in practice.

A fun little anecdote @ 54s in the video: "It becomes whatever you ask of it. And no two interactions are ever the same."

Comment · 2 months ago
Comment · 2 months ago
They make money on enterprise plans: https://www.experientiallabs.ai/pricing#enterprise

Look at the Intelligence features in the Enterprise plan:

* Per-prompt model optimization

* Caching

* A model you own, trained on your traffic

Comment · 2 months ago
Comment · 2 months ago

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