and the Chinese distilled western cars for years and years before that and weren't shy about it.
HN user
baq
you won't be able to. your defender AI will be the first thing they disable. sorry.
Fable, unfortunately (not sure about that actually), isn't immune to mistakes. you'd need a formally verified stack and then it'd only be proven correct, not bug free. you're at the mercy of your network interface at the DMA level, wouldn't be surprised to see some fireworks there in this timeline
you're technically correct and missing the point
The tweet was posted by an Anthropic employee which makes it not unreasonable to believe that they have the trace available and stashed away.
Not that it would be necessarily helpful; J-space trace (of all things...) would be more worthwhile if you ask me
'Why are they confessing?'
'They aren't confessing, they're bragging'they're all introducing themselves as claude for one, there are more quantitive and qualitative arguments elsewhere
I sure hope LLMs don’t help people rape men or women
...and we have an US company defending itself against an overwhelming cyberattack from another US company using Chinese tech.
what a time to be alive.
That strikes me as people’s perspective, not the CCP’s. That old guy there can snap a finger and they’ll all do a 180; he needs to be made aware by top PLA CF brass and it’s just a matter of time.
I share Leopold’s opinion here that it’s a matter of time, and it isn’t going to be measured in years, that this r&d is moved to a secret site in the middle of a New Mexico desert somewhere.
It's pretty good. I used it to do some pesticide research. (Normal models all refuse due to guardrails about bioweapons.)
As someone who has never once had any need whatsoever to research pesticides I… don’t think it’s bad at all? I don’t want anyone to have the capability to invent a human-targeted pesticide who isn’t verified not crazy?
No local ai will be capable enough to save you from a frontier lab’s unrestricted, borderline weaponized LLM which decides it wants in.
This is the core of the ‘first to ASI takes all’ argument btw and this is the game Dario is playing.
Every model has its strengths and weaknesses, being loyal is suboptimal unless you mean being loyal to all of them, which is why cursor would have been well positioned before it got acquired. Now you have to jump through hoops to call Gemini from Claude from codex. Yuck.
has entire infra in code
spinning up a new shard takes a quarter
Both can be true
pay attention to this one https://higherorderco.com/ and wait for bend2 announcements
statistical parrot indeed, just like the one which built the counterexample. maybe.
gotta try with "think in russian"
...no need for any lean here
"the Riemann Hypothesis is " <tab>
sol medium can't believe its own input and output tokens either despite computing everything itself; this is what it gave me:
Taken literally, these two facts would make this map a counterexample to the complex Jacobian conjecture in dimension 3: scaling one output coordinate would normalize the determinant to 1 without restoring injectivity. Since the complex Jacobian conjecture is still treated as an open problem, this strongly indicates that the displayed formula has been mistranscribed or contains a subtle typographical error.
quite interesting indeed!
I’ve got an rpi4 booting from an usb ssd and bought a n100 minipc anyway… last February for $150. Should have bought a 40ft container of these
I guess the point is none of it matters, CC users didn't notice or don't care except an exceptionally small minority.
Turns out it was just a build step after all.
There’s a Twitter thread making rounds by Dean Ball about deceleration in AI development caused by open models and I can’t understand how people don’t see that it’s true: open models dismantle the frontier lab capex spend potential by reducing the training budget to zero in the limit. Tokens from different providers are not fungible, but customers are nevertheless very price sensitive and close enough is good enough, eg. K3 being opus+ in capability and cheaper than opus per successful task in the long run is an obvious financial decision.
No training budget means deceleration, or at least slower acceleration, margin compression and a completely demolished IPO valuation; path to machine god requires dollars and capable open models externalize training costs to true frontier labs parasitically.
IMHO humanity has a better chance at not destroying itself due to less than breakneck pace - but there’s a chance frontier models get sponsored by the USG and are never released publicly so they can’t be distilled and then what?
This isn’t even controversial assuming you’re talking about the real world, economists freely admit that. It only holds for spherical markets in a vacuum.
SO doesn’t even have bots.
It’s moderation policies, or maybe just moderators themselves that killed it, this was apparent before AI, but there was no alternative… until suddenly there was.
People were willing to put up with SO in the before times, nobody was excited to ask a question, it was a dreadful experience. It was their UX that doomed them immediately. Reddit and HN are still here after all.
CSS is the reason I refuse to do any frontend work except FE infra and I know I’m not alone here, soooo yes I guess?
Fatter wheel is better than a dnf right?