Claude Code is not the model, it's the harness. You can use any model you want with Claude Code to varying degrees of success. I use Qwen3.6-27b daily with Claude Code as an example.
It’s still counted as FSD enabled. Would you prefer FSD to remain active and potentially cause further collateral damage after an accident causing who knows what kind of damage to the vehicle? Safer to shut it down when systems are working and brace for impact. Seriously use your brain.
That's like Joe Pesci in My Cousin Vinny where he stays overnight in a cabin and wakes up and freaks out at every little noise, but when he's held in contempt and there's a prison riot going on, he's sleeping like a baby.
I had an idea somewhat related to this where we use the solar winds as a sort of road and the earth's magnetic field as a sort of rotor to convert kinetic energy from the sun into electricity.
Apparently, OpenAI API “credits” expire after a year. I stupidly put another $20 and trying to blow through them, 4.5 is the easiest way considering recent 4o has fallen out of favor for other models and I don’t want to just let them expire again. An expiry after only one year is asinine.
The source is the training data and the code used to turn the training data _into_ the weights. Thus GP is correct, the weights are more akin to a binary from a traditional compiler.
Do you mean that agents are being hyped in the same way data science was in the 2010s, or that they’ll have a similar impact over time? Would love to hear more of your thoughts.
I was thinking the job poster would have to put up the bulk of the pot, let's say a 20% "signing bonus" that is distributed amongst the finalists (job offered). Applicants would each stake a small amount each, which would be shared amongst the applications who are dropped out at each gate prior to job offered gate, say 20% of it is shared amongst the first round as an example. It would have to be structured to mitigate gaming the system on both sides, e.g. professional applicants who drop out after job is offered (never accepting a job).