daniel_iversen

I'm from Asana so I'm probably biased too :) and I agree single-player agents are easier, but multi-player agents that understand end to end workflows etc. are very powerful. That's what we've built and yes it took a lot of thought and time to built it in a way that it would be privacy conscious and not leak the wrong thing to the wrong people etc. I haven't player with Buzz yet but signed up and admire them for thinking differently and trying to build something interesting.

But isn't there the raw intelligence of a smart model and then the practical intelligence fuelled by how many parameters it has? You probably will barely be able to fit a 70 billion parameter model on a phone in 3-4 years let alone a 2+ trillion parameter model... so it depends on what you call intelligence

How would it compare to Wispr Flow? I recently started using it and it feels so much more robust than anything out there (and in fact the one in iOS and MacOS 26 seemed pretty poor in comparison)... and do we know if Wispr Flow uses the Whisper tech behind the scenes or if they have their own model etc?

Surely it’ll be an issue some day for other space activities with all the SpaceX kit up there? I know space is very large :) but surely it’d be hard to scan, calculate and control trajectories of millions of orbiting tiny things when you’re launching rockets and things? A spacex satellite almost crashed into the Chinese space station some years ago and the Chinese had to perform an evasive manoeuvre I believe

A cool detail in the article that you can look up in the news is the French government investing €650m in AI, including technology (not just implementation, training and licensing it seems). Hope some of it is for further funding and equity in Mistral, and that other European countries follow suit. Even better if there was a great non-profit or B-Corp European alternative to the US and Chinese frontier/SOTA labs.

The actual phone https://commodore.net/callback/

Is this Apple encouraging developers to go through their api abstraction layer to use LLMs so that when they launch their own (which I think we’ve heard they’ve been spending lots of money on training and might be somehow involved with Siri or current Apple AI?) that they can easily help devs make a seamless transition? Or is it just a developer nicety or something else?

Here’s a nice YouTube video about GameBoy WorkBoy; a hardware addon and software productivity apps for the game boy,’unreleased and recently recovered https://youtu.be/1Y98jj3Kn84?si=dMII3mTmeDI0XrCn

Sorry if it’s in the article, I can’t access it either

Doesn't inference have very good profit margins* but all the losses come from training?

* For now, when they don't have to compete much against companies like DeepSeek who supplies inference at 1/10th of the cost

I’ve used Claude for a couple of months now and didn’t know about the specific “plan mode” you can put it into!

I'm quite sure (and you could find it somewhere of course) that the Chinese models would've been fine-tuned for certain leanings and world views. Even so, at what point is even the quality risk (assuming your use case won't be affected by those adjustments) and any potential privacy concerns outweighed by the fact that it's literally an order of magnitude (and sometimes multiple, for output tokens etc!) cheaper than the US frontier models?

I've just started listening to the book "Brave new world" (no spoilers please!) and this is literally how the book begins (but with humans) - what could possibly go wrong!

I’d love to know that as well. Long time Brave user that was curious about Vivaldi a long time ago and can’t remember why I went in the other direction. I want privacy and battery life on macOS

Hi, congrats on the launch!

Firstly, it doesn’t seem to work for me and my wife - we hold the phones together but clicking start does nothing (and we’ve accepted Bluetooth etc).

Secondly, I wonder if you’ll have a massive chicken and egg issue with the physical feature. I get it’s the main feature but could you overcome it somehow initially while still maintaining your long term “gimmick”? Like could you allow people to connect with the first X friends (5? 10? 20? Whatever that can get virality and flywheel going) or connect with as many as you want virtually for the first X months etc. You could even have the contacts fade away slowly if they don’t get verified in person etc. You might want to model out different strategies (and be extremely conservative) otherwise you’ll be relying on lottery-level luck. Good luck anyway though :)

More like a sovereign wealth fund type of concept

Yes. And it can be done in less "communist" ways; have countries' governments invest serious capital (even if they have to raise debt - they do anyway) in income producing assets related to AI, like large stakes in AI labs, building data centres etc.

I have mixed feelings about this kind of thing; on one hand, holding big companies to account is important. On the other, sites like this can feel noisy and probably misleading. Of course Anthropic can protect their platform from technical abuse, and of course they should be working to keep it away from bad actors or people in genuinely vulnerable mindsets, and that’s tricky! And honestly, if out of hundreds of millions of users and billions of chats, if a few thousand get flagged for safety concerns (to society, to others, or to the person themselves) I’m probably okay with that. It’ll never be perfect, and there’ll never be full agreement on where the lines should be. But Anthropic seems to be trying to bring AI into the world safely, and I for one appreciate that.

Hi! Others have noted this too but you can't seem to buy credits right now, it says "This page couldn’t load" in a custom error page when you've selected the amount and click continue to checkout. Congrats on launching such a cool project that's getting people excited, thinking and discussing :)

I’ve been wondering the same. And I think pretty much all the impressive small lab models were guilty of it, right? At least there is still larger players like DeepSeek and mistral to provide a bit of diversity in the market

Me too, and I recall the Cyrix "Pentium-like" chips were cheaper and faster than Intel's actual Pentium chips! [1]

[1] https://liam-on-linux.livejournal.com/49259.html

Remember this video? https://www.reddit.com/r/Lostwave/comments/1169ku2/unknown_p...

Curious to hear why people pick GPT and Claude over Google (when sometimes you’d think they have a natural advantage on costs, resources and business model etc)?

You can go forth and back with some chatbots for details like this ("What is it and how is it different to..." etc). But it does a few things. If all you use it for is a generic chatbot for example then it's a huge waste of time for probably a mediocre result. But I'd probably call it an agent orchestration platform that you can interface with via your favourite messaging app. It can run multiple agents that can use skills, but it can also create it's own skills, update itself, write code and use tools (tons of wrappers to things like calendars, messaging etc). Which then really means you can in theory do "most" things but of course there's risks when you have the AI chain tools together and do whatever it wants (if you let it) and lots of people are trying to prompt inject it because a lot of users have connected sensitive accounts (mail, calendar, credentials, crypto stuff etc) to their bots to get maximum usage.

[assuming you work for Meta or a social media company] in theory (and not that debatable IMHO) if the net contribution to society on balance is negative?

Isn’t there tons more, like the note from Andy Jassy at Amazon and the CEO at Airwallex etc? Maybe you can use an ai agent to find all the other big examples? ;-)

Happy birthday!

So cool - built-in internet and UPS :) wonder if it’d be very easy to use it as a remote webcam on a farm as a bit of a fun little project?

Would using native AI apps only prevent this? I think so right?

Coffee can also be a very social thing right? In Denmark for example (Australia slightly less so) there are lots of social “coffee breaks” at work.

Wow that looks very different to what’s on the front page! Where did you find that and where can we see how it really looks then?