chrismustcode

Apart from SpaceXAI no?

There's still a massive compute crunch, I know the opencode guys had been struggling to get capacity, Claude effectively lowered it's limit till the SpaceX deal, Google is struggling.

https://x.com/thdxr/status/2024539643673211054

https://www.anthropic.com/news/higher-limits-spacex

https://finance.yahoo.com/technology/ai/articles/ai-demand-o...

You don't consider Input $0.435 Output $0.87 cache read $0.003625 per million tokens for near frontier intelligence cheap?

I once got told for an internal promotion I couldn't put anything regarding my current role, responsibilities and achievements in the role. I got told to put any volunteering or previous.

Reason given was it's what is expected at work everything you do in your role, you need to show above and beyond.

If they can block IPs of cloudflare what extra mechanisms would be needed to block VPN IPs?

Is aider even a thing considered anymore?

It was pretty much first for CLI agents and had a benchmark that was the go to at the start of LLM coding. Now the benchmark doesn't get updated and aider never gets a mention in talking about CLI tools till now.

5 days ago OpenAI raised $122b and 26' Q1 recorded the largest amount of startup funding in a Q ever.

I wouldn't say it's drying.

https://x.com/OpenAI/status/2039085161971896807

https://techcrunch.com/2026/04/01/startup-funding-shatters-a...

I'm on sky in the UK which is marked as not safe due to no RPKI.

It's not on the list so imagine there is a fair few missing, would be neat to have a table you could filter by country, provider type (cloud/isp etc) based on real results from users.

edit: there's a show all button to expand the table

This isn’t accurate even for API prices for a request/response.

Go on something like openrouter with gpt 5.1 and use the chat then check the billing and you’ll see an average joe query is like 0.00102 or something.

You’re quoting figures from articles for initial ChatGPT release in 2022

They were failing as an online IDE for several years then growth shot up after the AI pivot.

Couldn’t they just send some hardware down Texas to co-locate there (presuming specialist hardware) and add another deployment target for their software? Would it be that hard?

I thought they use GPU for learning and TPU for inference, I’m open to been corrected.

I’ve never had an experience in any house or office where there’s been enough sockets to leave everything plugged.

I honestly find in go it’s easier and less code to just write whatever feature you’re trying to implement than use a package a lot of the time.

Compared to typescript where it’s a package + code to use said package which always was more loc than anything comparative I have done in golang.

A lot of these have business logic literally in the database built up over years.

It’s a mammoth task for them to migrate

I agree it should be across the spectrum where people have the same rights to privacy.

those who can afford to make the government look the other way and those that can't.

Congratulations to Apple on lobbying for its own money. Very noble.

But what’s your implication here, that Apple shouldn’t have fought it?

You hit the limits on this like immediately (it’s 1000 requests which each tool call is a request and even then I’m convinced pro isn’t 1000).

Also data retention Gemini has which you have to download a vs code extension to turn off for the CLI.

It isn’t an enterprise product it’s a way to get data for tool calling for training as far as I see it (as it currently stands).

I’d be stunned if a 270m model could code with any proficiency.

If you have an iPhone with the semi-annoying autocomplete that’s a 34m transformer.

Can’t imagine a model (even if it’s a good team behind it) to do coding with 8x the parameters of a next 3/4 word autocomplete.

That was previous iterations, 2.5 is 1 million context window

https://ai.google.dev/gemini-api/docs/models (context window is details under model variant section with + signs)

They were meant to crank 2.5 to 2 million at some point though, maybe waiting now till 3?

Not a fork opencode is a from scratch project

Claude code is completely closed source and even DMCA’d people reverse engineering it.

https://techcrunch.com/2025/04/25/anthropic-sent-a-takedown-...

I use opencode and never experienced it going through tokens at the speed I experienced Gemini CLI go through.

Cant speak to qwen or crush as I have not used them

The image model is literally the same model

I’d just use sst/opencode if using other models (I use it for Claude through Claude pro subscription too)

There’s something beautiful about creating a drop in replacement for something that improves performance substantially.

ScyllaDB comes to mind

When I ask it do to do something in cursor it goes full sherlock thinking about every possible outcome.

Just claude 4 sonnet with thinking just has a bit think then does it

The playwright MCP

The orgs investing millions usually aren’t looking to invest small or even profitable most the time.

If there’s a good growth story contact people who write smaller checks who would also be interested in using the product.

Would you be okay for Google to warn anyone when entering a website on chrome that they are taking a risk because they offer payment options other than Google pay?

Its about freedom and openness of platforms.

‘It’s fine because people will ignore it’ doesn’t make something okay.