This should probably change to https://openai.com/index/scaling-ai-for-everyone/ which has more details.

> Today we’re announcing $110B in new investment at a $730B pre-money valuation. This includes $30B from SoftBank, $30B from NVIDIA, and $50B from Amazon.

Thanks, I've added that link to the toptext as part of merging a bunch of these threads.

We try to avoid having corporate press releases as the top-level link, though of course there are exceptions sometimes.

The tweet storm has a bit more substance

e.g. it talks about running NVIDIA's systems (?) on AWS

> NVIDIA has long been one of our most important partners, and their chips are the foundation of AI computing. We are grateful for their continued trust in us, and excited to run their systems in AWS. Their upcoming generations should be great.

Probably something like NVLink Fusion. AWS has been doing deals with suppliers for which the smallest unit of deployable compute is a 44U rack (e.g. Oracle), so this is more of the same.

https://www.nvidia.com/en-us/data-center/nvlink-fusion/

Github copilot has support for this stuff as well. Agent skills, background/subagents, etc.

Implementation differences do matter. I haven't found Copilot to have as many issues as people say it does, but they are there. Their Gemini implementation is unusable, for example, and it's not because of the underlying models. They work fine in other harnesses.

> Devin Review is free and available for PRs on regular GitHub repositories (not GitHub Enterprise). Public PRs don’t require a Devin account.

I guess the tokens are cheap enough or their pockets are deep enough, but this still seems surprising. I guess they can chalk it up to a marketing cost.

Asynchronous tokens are significantly cheaper than ones where you need them immediately at a high rate.

There a lots of free, high quality models on OpenRouter too, BTW...

Have you tried Everything by Voidtools? I’m curious how these tools compare with that. I like how fast and simple it is.

https://www.voidtools.com/

Nope, sorry. My main use case is app launch, finding settings, and some scripts. I don't use file search that much.

Small point for Flow here again, because you just have to use the prefix doc: to search through your files, whereas on Raycast, you need to set up an alias and enter the extension. Both have file preview

I haven't checked in on it recently, but maybe a similar open-source option would be https://github.com/All-Hands-AI/OpenHands

A not open-source option this looks close to is also https://githubnext.com/projects/copilot-workspace (released April 2024, but I'm not sure it's gotten any significant updates since)

oh openDevin became openHANDS. Interestingly, I committed the LICENSE file to that repo haha

did they relicense too w the rename?

no, original MIT still remains yay.

Looks like this was timed to coincide with Google adding search grounding data to Gemini API: https://news.ycombinator.com/item?id=42008834 // https://developers.googleblog.com/en/gemini-api-and-ai-studi...

They are taking a page out of Microsoft’s strategy of clouding out all sunlight.

My first memory of something like this was the rushed Google Wave announcement occurring on the same day as a Bing rebranding launch (if memory serves, the domain registration timestamps for the Google domains were also highly coincidental but I've long since forgotten with what)

I know there is a HN guideline about not commenting on stuff like this, but in this case the text was so large it prevented me from wanting to read the article at all. Just uncomfortably large.

I have a 49" ultrawide and if I maximise the window, it is borderline unreadable.

https://imgur.com/DGWQDpI

What’s the technical difference in how this works vs. previous face swapping tech (like Snapchat filters)?

Yes, I played around with Skyvern and it works really well!

https://www.skyvern.com/

https://github.com/Skyvern-AI/Skyvern