478 karma · joined April 13, 2009
A patch containing a new feature which tangentially fixes a security issue is merged to mainline. It will not get merged into stable or LTS (by definition).
security: zomg this is existentially bad we are leaking our fn'ing emails!11!
compliance: can we mitigate this problem?
legal: what can we do here?
CTO: don't care, we're not losing all this productivity because our emails are being leaked, have a good day
This shift will be much harder for B2B than B2C.
For this framing to work, you need a base of reliable supporters already all-in on your cause regardless of how you actually perform, and the data center proponents have done virtually everything imaginable the last four years to drive people away. Why AI investors are shocked (shocked) is really beyond explicable reason; American on both teams have never responded well to this kind of brain-dead gambit.
I'm not being condescending or rude or otherwise out of line here saying your position is genuinely stupid.
This is why derision is a valid philosophical debate strategy if a person refuses to engage in rational discussion. To label GP as an R-word is a social signal and warning to others not to behave similarly. Derision also promotes healthy skepticism of new arguments you hear, lest risk falling into the same trap and have oneself become a laughingstock.
In practice, lawyers generally don't ever disbarred except if they lie to clients or steal from them.
I think the SaaS-pocalypse is going to surface more from new AI-first SaaS companies entering the market and undercutting incumbents in a way that's difficult to compete with.
Another aspect I haven't seen anyone talk about is how big tech poached a generation of millennials from grad schools ~15 years ago. I think a lot of those people feel like this is a comeuppance for unnecessary or bad faith gate keeping in academia.
Most people will read this headline and assume Cloudflare is intentionally trying to squash open-weight models. Given how superfluous the model is to the content, it's easy to believe that narrative.
If that wasn't your intent, you really ought to change the title ASAP. Time is ticking before tech journalists and social media decide to run with that narrative and make your public relations department sad.
Who the hell is going to trust their data to a people can't even be honest on benchmarks. What do you think will happen if (or when) there's a data corruption bug. What evidence do you have to think these same people will behave any better?
They failed themselves, we're just watching it happen.
This is an accurate description of one's bad behavior.
If you believe these word choices are inaccurate, we can discuss, but mischaracterizing the reply as "aggressive" is just bad faith (and against the rules).
In principle, a scientist could do this too, but models can do it without the manual labor.
But that's very different than when an engineer stays up all night investigating a very serious issue, writing it up completely, and offering multiple solutions in a wall of text that can't be brushed off in Slack. The engineer makes multiple attempts across multiple weeks and communication platforms to get their attention, and it's ignored. Not "we're busy but will get back to you when we can." Just completely ignored.
A high performer (and really anyone) should not have to resign themselves to office politics to workaround this kind of dysfunction. It's imperative to fire such managers so that you don't lose the trust of the people doing the work.
The solution is pretty simple: just fire the manager.
Considering how China is not subject to US jurisdiction, there's no downside risk in simply defrauding the USPS with fake documents to get around this.
Just imagine what would happen if JP Morgan did this and the model decided it needs to dump their position in AI data centers. Or maybe it's a health insurance company that fires all of the claim deniers for being unaligned with Dario's ethics.
The future of OpenAI and Anthropic is contingent on a lot of factors which can (and maybe will) just vanish overnight. If China "invades" Taiwan, or if the data center buildouts completely stall, AI is going to be in a very precarious spot.