Recent submissions

Comment · 6 hours ago
if you go on short form social media, Opus's ability to do agentic work in things like blender, css animation, etc. have spawned hundreds if not thousands of channels of people pumping out content with it. That and all the video game shenanigans (and now Anthropic is even modifying its system prompt to limit some of these things!)

There's definitely unique things that so far only Opus is capable of doing.

Comment · 1 month ago
No reason for it to. Software companies use products from other software companeis all the time.
Comment · 1 month ago
It has progressed. The tech is just expensive and heavy and... all sorts of tradeoffs. Meta had a prototype (Boba) with a 180 horizontal and 120 vertical FoV

But it of course is large and heavy like the quest pro and expensive most likely. Things that when you market to consumers don't pan out.

So they are optimizing on the other dimension (weight) which of course trades of many other dimensions.

Comment · 1 month ago
All anthropic launches are like this. They just post it and don't particularly put out the PR sprint that OpenAI does with videos, livestreams or whatever.

(Except for of course Mythos and whatnot when they want to push the whole "safety" thing)

Comment · 1 month ago
Remember when OpenAI models loved talking about goblins and whatnot due to the RL?

https://openai.com/index/where-the-goblins-came-from/

Small quirks can quickly add up in posttraining if not caught. Although TBH with how obvious Claude language is, I do feel like this is something Anthropic probably noticed and just assumed people would not care about. Now that people have obviously cared, they're probably actively looking to alleviate it

Comment · 1 month ago
Opus does seem like a more powerful coding workhorse based on the benchmarks listed though. Good coding performance, faster and less verbose, cheaper.

Will be interesting to see how people's opinions of it line up IRL, but so far I've loved Fable so hopefully will love this one too

Comment · 1 month ago
https://typesafe.ai/blog/antibenchmaxxing

But also effectively this is a classification model. It excels at specific certain types of workloads, and obviously will fail at others. Not really sure how one benchmarks this tbf. I can see their argument on why this requires a novel specific eval for whatever your usecase is. A consistent "global" benchmark might be hard to do

Comment · 1 month ago
You're fooling yourself if the quest provides any advertising data value, let alone 600$ The device is simply just being sold for as a loss and is not a data harvesting operation.

Some quick googling shows the ARPU of a meta user is approx 57$ a year, and ~65$ in NA. Even if the quest provided useful advertising data (it doesn't) it would never come close to 600$ over the lifetime of a user.

I don't even understand what you mean by "biometric data" for advertising purposes. What biometric data is the quest collecting? How in the world is biometric data useful for advertising?

There's a reason why Meta is tens of billions of dollars in the hole for reality labs. It's not to subsidize for advertising that's for sure.

Comment · 1 month ago
Eh I mean this is common default no? If you inspect element on many sites it links to the career page. Reddit, discord, etc.

Maybe a little distasteful since I suppose since these WordPress sites are not owned by WordPress, but I wouldn't really say it's unique or necessarily poaching

Comment · 1 month ago
Their $ per mtok is quite high though for an indie project with no roi
Comment · 2 months ago
Cline experiment: https://x.com/cline/status/2085237843379519737

Muse code: https://developer.meta.com/ai/resources/blog/build-with-muse...

> Co-trained with the harness. Muse Code was in the training loop from day one, so tool calls succeed and plans execute cleanly. Crucially, we trained across multiple harnesses, so while the model is at its best in Muse Code, it still generalizes to other coding agents you already use.

Comment · 2 months ago
You should use their harness. They trained it on multiple harnesses but have specifically optimized it for their harness. Cline also did an independent experiment w spark 1.2 where using the native harness makes it use fewer tokens / turns to accomplish tasks
Comment · 2 months ago
I don't understand. Why is meta paying 70% while Google tiktok etc are paying 15-30%

Are these not the same apps

Comment · 2 months ago
Because those trivial offences are a nuisance. BART spent millions implementing fare gates which so far, is at a huge loss, but it's dramatically lowered maintenance cost and crime on the transit.

Similarly stores with loss prevention guards are probably losing money, but I'd much rather that than having to click a button to unlock items, etc.

Comment · 2 months ago
Im curious, how often is SSD / storage speed performance really useful? I feel like for many people it's akin to gigabyte wifi in that its nice to have, but not really particularly necessary

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