danjc

It's surprising that a content creator would put this much work into a video and then use an AI narration.

Thank you for calling this out. It annoys me to no end that the default mode is to ascribe intent to a function.

There's no obscurity anymore. Best you can do is keep as much as possible server side. Curious if anyone has experimented with LLM's RE'ing obfuscated code. I suspect they handle it just fine.

We're going to need to start putting the month in brackets after the article title, not just the year!

Kudos to them for consistently putting "rogue" in quotes.

In the limit, this could compete with Ticketmaster

A lot of that list sounds like the "ai, please press the order me pizza button" meme.

It's dns isn't it

Are you a visitor from the past?

Worth noting that this study was partially funded by the university of Waterloo

This hits. Ive had an annoying issue with Codex VS Code extension for weeks if not months when queuing up a follow up. Often it just disappears, I think it's just a UI glitch is actually queued but I can't click steer if the UI doesn't update and I find myself automatically going CMD+A, CMD+C before sending a follow up message.

People who say things like "please could you" to the model probably have less of an issue with this.

(2025)

Thank you, I'd assumed they'd restrict egress at layer 3/4 although I guess then it might just have found an exploit on the http server of an endpoint it was able to access.

The part I don't understand is how a model can break out of a sandbox. It should be fairly easy to make a sandbox that sandboxes.

Seems important that the breakthrough conversation with Fable that led to the counter example should be shared too.

It would be great if we could have AI that wasn't trying to emulate a human. When it expresses emotion, we should see that as a bug that needs to be fixed.

Even if they could practically restrict access to US citizens only, I would expect them not to - it would be hard to regain that once lost and they need a global market for growth.

As much as it's true that a novice will generally use AI to build a sloppy mess, I've also had success unsloppifying through some careful prompting.

It's not just annoying, it's tiring

Plot twist: Apple PR team created this video to make claims that they slow older devices seem less credible.

A browser plugin that scores webpage content based on how likely it is to have been AI-generated would be quite useful.

Browser vendors can't build this.

I've been waiting for someone to say this. An agent will generally produce far more code than technically necessary for the task. It's a kind of over engineering which makes it increasingly harder to wrap your head around the codebase.

The issue is provenance. We need cameras and phones to digitally sign photos so we can easily verify an unadulterated image.

You also want to be able chain signing so that for example a news reporter could take a photo, then the news outlet could attest its authenticity by adding their signature on top.

Same principle could be applied to video and text.

I'd it's processed in 2 seconds, why not just process it immediately in memory?

It's all jit context

It looks like true 0-temperature (i.e. determinism) will happen. Here's some good context: https://thinkingmachines.ai/blog/defeating-nondeterminism-in...

You can just call yourself a reasoning model now

This is written by someone who has no idea how transformers actually work

I think you've nailed it there. OpenAI are at a point where the risk of continuing to hedge on mcp outweighs the risk of mcp calls doing damage.