Most people are going under identity crisis right now because of recent LLM advancements. This post is a good example that shows that it's not only happening at the individual level, but also on the company/organization level.
Is it still worth building products or companies that can be one-shotted by AI? Probably not.
One interesting consequence is that this force everyone to be more ambitious and do something bigger that's impossible before.
I hope more people are working on something that can always bring net positive to humanity even if there are hundreds of people working on the same thing, like clean energy.
Oh yeah for sure. At that point, using SES is probably a better option compared to running a VPS just for SMTP. I posted that to let them know that SMTP support is a requirement for some developers.
> Next.js App Router is server-first: your component tree lives on the server by default, and you opt into client interactivity with 'use client'.
> TanStack Start is isomorphic-first: your tree lives wherever makes sense. At the base level, RSC output can be fetched, cached, and rendered where it makes sense instead of owning the whole tree. When you want to go further, Composite Components let the client assemble the final tree instead of just accepting a server-owned one.
The sudden server-first change on Next.js App Router definitely trips some people, especially since React started as client-only library.
In the /r/macapps subreddit, they have huge influx of new apps posts, and the "whisper dictation" is one of the most saturated category. [0]
>“Compare” - This is the most important part. Apps in the most saturated categories (whisper dictation, clipboard managers, wallpaper apps, etc.) must clearly explain their differentiation from existing solutions.
During my limited testing, it works better than I expected at handling multiple languages in a single session. Perhaps I just had a low expectation since I've mostly worked with English-only STT models.
Nothing unique, it's just taking a snapshot when it's processing the input. Even processing a single image will increase the TTFT by ~0.5s on my machine, so for now, it seems to be impossible for feeding a live video and expecting a real-time response.
In regards to the video capability, I haven't tested it myself, but here's a benchmark/comparison from Google [0]
Huh that's weird. I just tried it and it works on my machine. Could you perhaps create a GitHub issue and share the reproduction steps and any relevant logs?
This is my stance as well, but keep in mind that a lot of people have the opposite preference.
They didn't grow up with the world wide web. They only started using technology when Android and iPhone was popular. They only know Whatsapp, Youtube, TikTok. They're not used to using the browser.
There's a meme that "Gen Z Kids Don't Understand How File Systems Work" [0]
Thank you. This reminds me of a paragraph from the LatentSpace newsletter [0]
> The excellent on device capabilities makes one wonder if these are the basis for the models that will be deployed in New Siri under the deal with Apple….
Thanks for sharing! I'm still torn about it. Sure it'll feel more natural if you have the AI head animation, but I don't want people to get attached to it. I don't want to make the loneliness epidemic even worse.
Thanks! Although, I can't claim any credit for it. I just spent a day gluing what other people have built. Huge props to the Gemma team for building an amazing model and also an inference engine that's focused for edge devices [0]