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
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
> 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.
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.
Loss prevention in retail is absolutely tailored to the store, in the US. Essentially, the corporate dept has a bucket of funding and chooses where / how to deploy it. So when you see {insert LP device}, there's metrics to back it up. And specifically, worse metrics than the same chain stores that don't have that device.
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
It's definitely important for editing video and doing VFX work, and lots of the editors/VFX folks I know are using Studios. Raw footage from cine cameras now can be 50-100 MB per second now that we have 12 or 18K cameras, and even the low-quality proxies people work with are still pretty heavy, so in-memory caches aren't really an option and stuff is constantly being read from (and cached to) disk.
Apple’s “LLM in a flash” paper [1] sheds some light on why this can be a big deal, especially if they are working on codesign of model and hardware in this dimension.
It's nice when using large sample libraries so you can stream them off the drive without as much caching in memory. Local LLM workflows probably also benefit from being able to run models too big for RAM off the drive.
I bet this is a lot of what is driving it on the DC side, and just in general bringing disk closer to RAM as far more conventional database type workloads.
When I was booting from a spinning disk, at that time it took over a minute to boot. I upgraded the system to SSD later, and that same system took less than 20s. That was 10 years ago.
Another example as a developer, one particular large project took an hour to build on a spinning disk, on a SSD it takes 2mins
The big deal of a decade ago about SSDs wasn't throughput, but random read/writes. HDDs can be astonishingly fast, but by their very mechanical nature, they suck at jumping from sectors to sectors to gather small files, which is typical of booting an OS.
Unrelated to disk, I've definitely been thinking about this more on the network side recently. I upgraded to 1.4/900 home fibre a while back and then got a modern Unifi UCG/U6 wifi setup, and while I do get 1.4GB down from my hardwired workstation in an explicit speed test I have yet to get anything close to that on real-world workflows. Torrents, container-pulls, backups, all of it seem to cap out around 20-50 MB/s.
So while have having this massive almost-symmetric fibre pipe is cool on paper, I haven't felt a huge need to install 2.5G gear all over the house.
It's very important. Every time you launch an app or open a file it's critical for performance. Also when memory runs out and the OS swaps to disk it makes a huge difference.
OpenRouter is already the entrenched go-to router tbh. There's competitors (Vercel) but they're already well known. Stripe can also make them more competitive because they can waive / profit off the transaction cost. Considering stripe takes like a 3% fee, and the openrouter markup is 5%, that's a pretty big boost.
Now is that enough revenue to earn back 7B.... I'm not too sure. I guess they're betting realy big that these sorts of model routers will gain explosive token usage in the future
I don't get the 'transaction fee reduction' arguments. Yeah they can reduce the fee, which in turn reduces profit margin... any other product/service in a similar position can do the same... it's not some sort of free win
IMO I disagree. I find the built in harness (database, browser use, etc.) quite good.
The only downside (and a big one) is that by not being natively offered by OpenAI, Anthropic, etc. you're paying @ API billing and not plan billing, which makes it less appealing. (Of course Manus has a wrapper around this w some token system, but it ends up being expensive)
Interesting, what does your tasks & workflow look like with them?
I generally found the quality decent (say, similar to other competitors), but the speed of task completion was very slow. I think because they would depend too much on Sonnet as a core backend, and relied on big/expensive models more than other harnesses.
The janitor doesnt need a prediction market, but that's 100% who Kalshi and PM are currently blasting ads at, because the janitors with $100 to kill are the bag holders that pay the insiders.
At least in general, not for this specific Evil Janitor, who is the rarer unsophisticated-schemer/patsy/insider in my contrived hypothetical.
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
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