7,548 karma · joined June 21, 2024
Sure. The problem is that there is no practical difference between "cybercrime capability" and "cybercrime defense capability."
All of my PRs go through an adversarial security review by GLM-5.3, because it's the only smart-enough model with a good understanding of cybersecurity issues that won't regularly refuse the job. Removing that ability from frontier models helps nobody except cyber criminals.
Well, problem solved. He certainly used his new position to get rid of his debt.
I think I'd target companies and provide customized solutions. "Hey, everybody in your company connects their agents to this, and boom, they all produce consistent output that matches your company's CI."
This kind of stuff just puts even more distance between established engines and smaller projects like Servo.
The problem is that bad-faith actors weaponize this language to fight against science, facts, and reality. At some point, the evidence is strong enough that it's fine to just plainly say "x caused y" even if there is a 0.0000000000001% probability that by random chance, y would have happened regardless.
1. How do you know?
2. How do you know they're not themselves the targets of sabotage?
DeepSeek is really cheap when you compare API pricing, but it's more expensive than a subsidized Anthropic or OpenAI subscription.
I don't know, but I'm not sure it matters. Anthropic and OpenAI still have such large market shares only because their services are heavily subsidized. This can't go on forever.
At some point, they will have to stop burning investor money and start hiking prices. At that point, all of their competitors will look even better than they do now. So I don't see how these two companies in particular can generate enough profit to justify their costs.
I do use skills for other things, I don't believe that skills are bad. I'm just not sure what they add in this case.
Also, LLMs in these apps use a lot of tokens, so people often use lower-end models, which increases the probability of this happening.
Still, it's fun to try to figure out how the puzzle pieces might fit together even though they came out of different boxes.
It's in their announcement; it's just not written in a way that people immediately understand.