TranquilMarmot

I did have RCS issues with GrapheneOS (on T-Mobile in the US) for a while, but at some point that was fixed and it works flawlessly now.

As for camera apps, the stock GrapheneOS camera app is a bit clunky, I just download the stock Android "Camera" off of the Play Store...

Thank you so much for Kagi, using it has been the most meaningful change I have made in my digital life in the past 5 years.

Oh snap, you're right that Claude can't generate images. All of these chat interfaces blur together in my head these days haha

Zed's original reason for being was collaborative programming

https://zed.dev/docs/collaboration/overview

Not sure if the agent stuff is shared in the "channels", though.

I've heard that refrain ("we can switch models so we won't be obsolete!") a hundred times, but it doesn't hold any water for me. OpenAI and Anthropic command such a large percentage of LLM usage that it doesn't really matter which one implements your product - either way, you're screwed.

Your end users literally do not care what model you use behind the scenes or if you're using "the right tool for the job".

Claude still doesn't have image generation

What? It has for years. Go ask it right now.

I agree. Some sort of weird placebo effect that people get.

The results here match up to my real-world experience using these models every day at work and switching between them regularly.

Any actual data backing this up? Or is this just your personal experience?

I have a hunch that both OpenAI and Anthropic are building towards this very quickly. It's one of the startup ideas that will be killed overnight when it's "officially" launched. Claude Tag was just released which lets Claude participate in chats in Slack - only a matter of time until they move those chats out of Slack and into their own platform.

I use it to sync projects that I mainly host on Codeberg up to GitHub. It was a "set it and forget it" kind of thing.

This seems like a weird comment since Codeberg is only for open source projects, you literally cannot use it for private code. On-prem Forgejo would be the equivalent to on-prem GitLab, both of which are unrelated to this outage.

Seems like this is a new swipe model, though, so it should be more comparable. I also had to switch back to GBoard on GrapheneOS since I was spending more time fixing typos than actually typing with FUTO but I'm willing to give it another shot.

Not at a price that your average consumer can afford for a long, long time

Huge way to get pink eye as well :P

I agree that the price is the barrier. If it was around $1k I would MAYBE think about buying one. I'm curious to see what the newer Valve headset retails at, even though that's more for play than for work.

The extension capability is much less powerful than VSCode (no embedded web view) so it's a lot harder to pull off crazy stuff. All of the language support is done via language servers.

This should be common sense and immediately obvious to anybody who has spent more than a few hours with a coding agent.

Philip K Dick did at least, in A Scanner Darkly https://en.wikipedia.org/wiki/A_Scanner_Darkly

When performing his work as an undercover agent, Arctor goes by the name "Fred" and wears a "scramble suit" that conceals his identity from other officers. Then he is able to sit in a police facility and observe his housemates through "holo-scanners", audio-visual surveillance devices that are placed throughout the house.

When will we need to start wearing "scramble suits"

Seriously, I moved all of my personal projects to a self-hosted Forgejo and all my open-source projects to Codeberg and haven't looked back.

The problem is that this mode of operation for them works - they get the features made in a fraction of the time it used to take, the feature does what it says on the tin, they feel good about pushing the product in a specific direction. If something goes wrong, the AI can fix it, too.

I'm not sure that there's really a "bomb" hiding in here anywhere. The issue is that it IS "reasonable" now to expect big features to be done within a week.

The bet that management is making is that the AI will continue to improve and that it will be able to fix those issues on the cheap - so far this has proven to be true for us. We use AI to generate code at scale, that code has issues at scale, so we use AI to fix those issues.

AI;DR

Right - knowing what to actually build always has been and always will be the limiting factor to actual success. I could spend months and hundreds of dollars generating the absolute BEST todo list that's out there but nobody wants that.

This is great until the "gun to your head" is your skip-level manager demanding that a feature be implemented by the end of the week, and they know you can just "generate it with AI" so that timeline is actually realistic now whereas two years ago it would have required careful planning, testing, and execution.

You're just now learning this? There are whole books about it (check out "The Age of Surveillance Capitalism" by Shoshana Zuboff)

Soon, all meetings will be recorded, transcribed and stored in a well-indexed place for the agents to search when faced with ambiguity (free startup idea here!)

We were doing that over at Vowel a few years back, unfortunately it didn't pan out because you're competing directly against Zoom, Google Meet, Microsoft Teams, etc. They are all (slowly) catching up to where we were as a scrappy startup 4 years ago.

It was truly game-changing to have all of your meetings in an easily searchable database. Even as a human.

On macOS, this is easy. For everything else, I use mechanical keyboards that all run QMK/VIA so I remap it at the hardware level.

Meant to be a fun thing to do/experience/learn and not produced on an industrial scale. One small fire pit to harden some clay isn't going to make a material impact on total human CO2 emissions.

I hate how plausible this is

I think about this a lot - on HN and elsewhere online, there's an outsized portion of people who are likely to see use in AI. If you're online, you're on a computer and you're likely to also do office work that an AI can help with / do for you.

I don't think a majority of people will find it actually useful in the long run. I do game development as a hobby outside of work and every artist I know is outright hostile towards any sort of AI, to the point that they are dropping out of any community that so much as allows any mention of AI workflows.

I know that OpenAI is at least exploring "AI as entertainment" (Sora) but it has yet to be seen if that will be widely accepted or profitable. I've also been reading about teens talking to chatbots more and more rather than talking to real people, which seems like it will only end in mental health disasters.

I know it may be a radical view, but less cars is always a good thing. Not too happy about the job losses, though.