nunez
DHS deemed Deepseek a national security risk and mandated its removal from federal systems. Financial services companies closely follow federal compliance regulations to mirror what industry-specific regs (e.g. PCI, SEC guidelines, etc.) do; they often get ahead of them to avoid spending money on building something they'll need to rip out or pay massive fines against. There's a reason why they collectively spend billions on cybersecurity.
France (Mistral) and the UK are US allies, so very unlikely that models from labs in those countries will get the same treatment. Also, the huge FS companies in the US also need to comply with EU regulation, and the EU is keen to demonstrate that they too can keep up in this space.
so weird that it somehow got through the spam filter
Something I learned from I-forget-where: if you hear an interesting bird call, close your eyes, look up and point your nose to the source of the sound. Open your eyes, and, surprise, it's probably a Northern Cardinal, Mockingbird or some kind of thrush! lol
_wait_
a) So many startups are reselling AI, and
b) Many startups are VC-funded, and with VC investing significant amounts of capital into the space, forced collusion is definitely a possibility
No explicit filter either!
The hip-hop playlist is 1000%; instant throwback to my 2000s living in Greater NYC
The workaround that another contributor found (URL-encoding slashes) has been patched. Having a Reddit account will be the only way these frontends will continue working it seems.
Like, that had to be malicious right? ssh-keygen won't generate a key like this, and neither will openssl or whatever Microsoft is doing behind their CA server.
Host isn't available. There might or might not be extras. Wash the dirty sheet yourself. Wait until cleaning can come by next day.
Hotels win every time.
AI absolutely has a detectable style once you read enough of it.
I agree with the author. Content marketers, journalists and other professional writers are very good at making content sound engaging without losing the "voice" of their clients. Tech writers are generally good at presenting complex topics in very accessible ways. They develop style guides that make this easier to do at scale, and editors who are usually better at reading and tweaking over writing from scratch help put everything together.
AI is certainly able to ingest all of that and create similar work, but doing so requires A LOT of hand-holding. Without that, LLMs bias towards writing like a cross between an exec assistant who just started using Grammarly and a junior beat journalist trying to prove something no matter the framing.
Most people don't do that, mostly because writing is a means to an end for many; thus, I've seen the three-banger punchline style in academic works and Claude's EXTREMELY tired "we have Axios at home" headlines in mediums you'd never usually see them in.
What usually does me in is that LLMs take FOREVER to get their "point" across. Whiz-bang gotcha prose only works if you don't spend five paragraphs telling me something that could have gotten distilled into a two-sentence blurb.
What's worse is that summarizing with AI is really popular but doing so usually leaves out important details, and you never know exactly what unless you skim through the piece. When that piece is AI-generated, as they are increasingly becoming...yeah.
Using a known API key might be a workaround, but it feels more "beginning of the end" rather than a proper workaround.