te_chris

I think there's a secondary competitor to certain types of process-SaaS like Vanta for smaller orgs: a smart Fractional (CISO, in the compliance case) paired with good AI. The purchaser gets proper human judgement, and you can handle the record-keeping bit with an ai-enabled DB like notion.

As a kiwi he was the best of us. Creative, talented, willing to roll up his sleeves, maker of exceptional wine. Haere ra

Spoilsport

I agree. Better to let it rip in a sandbox then spend your time correcting the finished product.

Waste of time being in the middle.

With pi they’re an extension, but that’s pi

The tweet Carmack's replying to is such a gross, cloying example of LLM slop. Bellard, of course is a legend.

GCP cloud run is pretty close to this. We’re using it now and I’ve a lot of experience with gke.

They’ve announced persistent “instances” recently which solves a big problem for us - sometimes you want continual long running workloads.

Great, so nihilism

Was going to say, open qwen in lm studio, say hi, watch the thinking traces

Nice. I've got Claude code teaching me maths at the moment. Some skills, file system learning log, oss text books and a full curriculum based on Math Academy (which I was doing before but got bored of) and UK high school and university. Teaching me concept-first though. So we start with something complex and go up and down until I get it all. It's not necessarily thorough for everything, but the depth of my intuition is much better and each time I use it I find myself unlocking another sector of the map. I love LLMs for this.

To nit pick: Micromobility is the opposite of this.

Extremely weird take.

Let me get this straight, they just didn’t supervise exams? For over 100 years. Lol.

I’ve never seen a billboard for it here - lived here 11 years.

1) the models do generalise so concepts translate 2) languages with more opinionated semantics and a better, more coherent community seem to be better. Python is a broad shitshow with multiple ways to achieve the same thing. Elixir is tight and focused. Claude is much better at elixir.

No, the personal injury lawyer billboards.

A thankfully American reference

GCP is miles better. Their IAM is at least understandable, for a start.

“EC2 or Lightsail”. And this right here is why I use GCP. Google got VMs right.

Why am I back on the terminal and 40k lines deep in my own ai-workflow tui? Two reasons: 1) AI writes my dotfiles. It fucking rules. 2) charm bracelet tui ecosystem in go is ace and ai writes it well.

What? In what world should the tool be given due credit.

Claude code and codex do this all the time too. Fucking annoying.

Cool that they don't let others do it. I tried to make a work fb account to access the hellscape that is business manager and they blocked it. Pricks.

the country isn't blocking his site. his self-importance is. OFCOM doesn't give a shit about this blog.

I’ve built this into a cli TUI. Passes the whole diff to Claude code with a schema and gets a structured narrative back out. Works really well for understanding.

Reconstituting messy things is exactly where LLMs can help.

I try codex, but i hate 5.4's personality as a partner. It's a demon debugger though. but working closely with it, it's so smug and annoying.

I only pay adobe because, as an amateur, I can dump in raw files and they then make them go away from my hd. It's wild that no one else offers this, but that seems to be where we are.

How does BM cloud work in this regard? Can we dump a card straight in, have it sync, edit, export etc and never think about the files again?

Yes. Obviously it does.

Honestly: jog on.

You can see the transition happening. Right now.

Without wanting to sound rude: I think the mistake people make with AI prototypes is keeping the code at all.

The AI’s are more than capable of producing a mountain of docs from which to rebuild, sanely. They’re really not that capable - without a lot of human pain - of making a shit codebase good.