habosa

It's quite good and the labs are definitely scared, that's why they are lowering API prices and continuing to subsidize subscription plans aggressively to keep anyone from using this stuff.

That said, has anyone else found DS models to be unpolished? They seem to "lose their mind" a lot more often than Claude/GPT. I have tried all of the top open source models that came out over the past ~4 months or so and the GLM models (5.2, 5.3, and 5.3-Flash) have been much more usable for me. They feel like Opus but X months ago, DS feels like something else.

Fwiw I work at a company where engineers use AI heavily to produce the majority of work outputs but we also have a Slack that's just as lively as ever and plenty of evidence of humanity. Your experience sounds bad and you may be able to find a better one! It's not all bad everywhere.

Scares me. When the ruling class get robots servants they will have no need for even simple human interaction anymore and that will truly unleash them to do harm.

DeepSeek models have such good benchmark performance, amazing pricing, and the team over there seems to be widely considered impressive.

I just haven't found them to be very good? I've had a ton more success with the GLM models (since 5.2 anyway). Maybe I'm just holding it wrong, DS models seem to get stuck in loops or tell me nonsense. GLM feels like budget Claude.

Making Android apps was my introduction to publishing software. I remember in ~2011-2012 you could upload an APK and it would be published immediately and the Android Market had a "New" page which was just a chronological feed of recently published or updated apps. Just uploading your app update was an easy way to get ~500 free downloads which I found very exciting.

At the time I couldn't imagine paying $99 for an Apple Developer account and waiting a week to publish my app...

We're very happy with OpenRouter in production, although we use it in a pretty limited fashion. We have only ~10 providers allowlisted (based on their location and ZDR policies) and we use only a few models, often frontier models. Has been very reliable for us in production so far. It's generally been great for us to be able to have a single place to manage spend, policies, view logs, etc. Also really nice in code to have a single-line change for switching models. OpenRouter's console is so much better than what you get from the actual frontier labs, and it's nice not to have to translate numbers and concepts across providers.

Does anyone have any recommendations for something like Cursor but more open? Cursor's harness is so much faster than anything else I've used that I just can't give it up, using Claude Code feels like being on 0.25x speed. Also I do like the IDE-style UI, being able to highlight code in a file editor and then quickly add that to my chat (Cmd-L) is really nice and much more difficult in CLI based harnesses.

Right now I think GPT 5.6 Luna is by far the most cost effective model, so this change is effectively kicking me off of Cursor.

GLM 5.3 is "only" 753B parameters. Much much smaller.

There really has never been another product priced like AI is being priced right now. Each of these things has been done before, but all of them together is new.

1. Insanely discounted starter plans. Claude $200/mo plan is like $5k-$8k of API rate usage.

2. Very limited cost visibility, they make it hard to figure out where you spent money (unless you're on the enterprise plan which is for people with unlimited money).

3. Nobody, not even the model provider, knows what your request will cost before it returns. You're writing a blank check every time you hit enter.

4. When you run out you run out very suddenly and disruptively. It's very hard to tell a developer on the 28th of the month "sorry, code by hand until the 1st of next month" so you tend to grant exceptions.

5. The price is changing all the time. New models come in, old models come out, prices change, caching behavior changes, harnesses change, etc. The cost of doing a single task is not predictable even if the task does not change.

6. Basically no volume discounting. Anthropic offered us 2% off for committing to $1M+ per year at API rates.

I manage AI spend for my team at work and I try really hard to keep costs under control but it's absolutely herding cats. Much harder than any other spending I've ever had to manage at work.

Anthropic's run as the AI Good Guys lasted ... 6 months? Hope they had fun. Turns out there aren't any AI good guys. Every single one of these companies engages in all the same BS. At least with open weights models we (the users) get to keep something when the whole thing collapses.

These tools are explicitly marketed as a way for non-technical people to code. If we expect those same people to understand sandboxing we're dreaming.

Apple has totally failed to deliver interesting AI experiences so far ... and I still think they're going to be the dominant provider of AI in 5 years. We're just one or two advances in chips / models / both away from being able to run very good local models for free on mid-tier Apple devices. The privacy, cost, and latency story there will be too much for OpenAI/Anthropic/Google to beat.

Just writing this down so I can be praised/mocked in 5 years.

Codeapprove creator here! I made it to fill the exact gap you're lamenting, and I still think that gap exists. For a while it seemed like Graphite was going to be the answer but over time they ended up focusing more on the AI angle and less on human review tooling and now it feels just as cluttered and slow as anything else.

I home some other Xoogler comes along and delivers a Critique build for 2026, I still think there's a need!

Makes sense for them as a business, but still a bummer to have AI music mixed in with human music at all. To me there is literally no point to AI music. Music is communication. The artist is communicating with the listener through a pretty unique and magical asynchronous medium. AI (as we know it today) can't meet that bar and so it does not meet my definition of music.

In the long run I truly believe local AI will win and Apple will be the world's most important AI company because of these chips. Imagine something like today's Opus running for free and in complete privacy on your local machine with a beautiful Apple UX on top. For most tasks for most people, that's a much better proposition than a frontier model in the cloud you have to pay for and send all your data to and that only works when you're online.