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That feels like a very complex way of looking at it. Another way would be to say “potentially profit seeking companies have an incentive to oversell products ev
by ofjcihen 7mo ago
That feels like a very complex way of looking at it. Another way would be to say “potentially profit seeking companies have an incentive to oversell products even if they’re good”.
- ACCount37 7mo ago[flagged]
- ofjcihen 7mo agoHomie chill. I use Opus every day and I love it. I’m not saying it’s all hype, just that these companies are here to make money and that every advertisement should be taken with salt yeah? Also maybe consider what this kind of visceral reaction indicates on a personal level :/
- ACCount37 7mo ago[flagged]
- ofjcihen 7mo agoI mean if it helps I support the move to not release mythos right off the bat yeah? That makes sense, treat new models like new vulnerabilities and give companies time to scan with them etc. But you have to admit it does serve a savvy business purpose of creating a moat where one wasn’t by getting these tech companies on board and the threat does make for good marketing yeah?
- ACCount37 7mo ago[flagged]
- sandspar 7mo agoNormalcy bias is human nature. If human nature bothers you then you're going to be annoyed all the time.
- UltraSane 7mo ago"There is NO shadow wizard marketing gang pulling the strings on every single thing those companies do" Yes there is they are called marketing departments and it is their exact purpose.
- techpression 7mo agoWe have been hearing this since GPT-2. They’ve been crying wolf for too long, that’s on them (the model providers). That and the fact they never publish anything interesting around their claims. It’s the ffmpeg thing all over again (very old bug in a decoder for a format used by one game from the early 90’s sold as some major breakthrough).
- WithinReason 7mo agoIs Anthropic lying about model capabilities? If not, where is the overselling?
- GoatInGrey 7mo agoMarch 2025, Anthropic was claiming that 90% of code would be written by LLMs in three to six months, and "essentially all" code within twelve months. This was one week after closing a Series E round for $3.5 billion. When they began working on their Series F round for $13 billion. You shouldn't need more than that to understand what's going on here. The Claude Code leak revealed that Anthropic runs Claude-operated bots on the internet. One should be very cautious in getting swept up in the fund-raising process if they are not seeing first-hand the fruition of all of the flattering claims being presented by strangers on the internet.
- WithinReason 7mo agoYou're talking about marketing predictions and I'm talking about data presented in a whitepaper. They are not the same thing.
- supern0va 7mo ago>March 2025, Anthropic was claiming that 90% of code would be written by LLMs in three to six months, and "essentially all" code within twelve months. There's a pretty big difference between "We predict in X time frame our model will be capable of Y" and "Our model did Y." This is like watching someone measure the size of an object and saying "I don't believe you because you guessed it was X before you pulled out your tape measure."