1,149 karma · joined May 30, 2022
Looking at recent YC batches, YC seems to believe so.
He says bubbles are false beliefs about reality that everybody figures out is false. The claim that "[AI] will displace tens or hundreds of millions of knowledge workers in the next 3-10 years" is that false belief inflating the bubble. Big tech and investors are dumping money into AI thinking at least a sizeable portion of the white collar workforce is going to be replaced with $2000-$4000/month subscriptions to AI agents (I am so sick of the term "agent") acting almost autonomously. We're hitting the wall with what's feasible with LLM scaling laws even if you're dumping countries GDP worth of money into making bigger and better models. Is spending $500 billion to $1 trillion dollars to get something that performs marginally better than the best LLM today worth it?
Why does this keep happening? Why are so may developers blind to this obvious outcome?
A YC company just launched doing exactly that.
"a theorized phenomenon by which the future life expectancy of some non-perishable things, like a technology or an idea, is proportional to their current age."
Goodhart's law applies here just like everywhere else. Much more so given how much money these companies are dumping into making these models.
Has anybody been working on better ways to prevent the model from telling people how to make a dirty bomb from readily available materials besides putting "dont do that" in the prompt?