DenisM
Today I could plug in a car that gives off 20amp into the same inlet, it would limit how much load it can carry, but I could stay below 2.4 kw if needed. Why wouldn’t that work?
AI is undergoing cosmic inflation, we get further apart faster.
Sure you can set a loftier goal and spend tens of thousands of dollars and countless hours solving it. Most people won’t though.
Most recent teslas support 20amp at 120v output via official $100 cable adapter. Some other cars support about 20amps too, eg RivianR2. While it falls short of desirable amperage the car manufactures can bridge the gap if they wanted to. Even now I can run the bare minimum of workloads - a full size fridge, a small AC or Microwave, LED lights, and phone chargers.
Since this was posted Tesla rolled out PowerShare to recent ModelY and some other cars. Not sure about solar recharge though. Where I live storms come in winter and I have natgas so most of the power will go to fridges and electronics, which will hopefully last long enough.
How so? So far we have a few models of nearly the same capabilities and a slew of models 6-12 months behind.
Thats how bubbles burst - as each tranche of speculators bails the next tranche gets spooked through the pricing signals.
Maybe that’s exactly it - AGI is ability to plan well?
Interestingly, the artifacts include not just code but alao retroactive design and retroactive “execution plan”. I feed them to another agent to validate the approach and resume work with fresh context and update mission statement.
Unexpectedly, design doc and an execution plan are now outcomes of coding process, not inputs to it. I’m not sure how to think about this.
Like, lower the volume (“turn to tge side”) and say, hey Richard, can you compute 123^45 for me? Or “can you check flights”?
Also threat actors being on the inside breaking out is a bit new.
A while back a knowledgeable man was a philosopher, and they could all easily talk to each other and understand. As time went we split up - we have philosophy doctors in various fields who have very little to talk about.
This happened again when the term “engineer” fractured (even before software engineering). Software engineering itself fractured, too.
And it’s happening again now.
> Architect Financial Technologies, founded in 2023, offers futures in compute linked to the value of chips in America. The firm has also recently launched a platform where model-makers bid to provide “inference”—the useful output produced by an AI model in response to a prompt—rather than the underlying compute capacity.
I think the idea of selling inference is solid, but I’m not convinced Wall Street is going to be doing that. Superscalers are better positioned.
Inference will likely be priced by evals, specific for each workload.
It could be more productive than being angry. Or not, but worth a try.
I’m not sure if the job title tho. Software restoration?
The bill may create an incentive for Chinese labs to nerf their open weight models before release. If that works we get another 6 months until unnerfed models leak to public.
Thats what the bill gives us - a few months months to come up with the next bandaid.
What we have now is that for government to act the model has to cause enough damage to cause Congress to pass a new law to try to stop the model after it’s been already released.
Have you given much thought to diffing diagrams? The source can be version controlled and a source diff can be seen, but a visual diff would be amazing and easily sway me from writing prose to writing diagrams.
However 99% of businesses will not be able to effectively handle security reports in reasonable time. They did not need that level of competence or funding until now, and therefore they did not acquire it. Most companies that use locks don’t employ locksmiths.
Looking another way - the entire economy got suddenly hit with entire pile of technical/ security debt it has accumulated over 50 years, and only has one year to deal with it. No amount of diagnostic will fix this, this is economically infeasible.
One thing that is feasible is a government bailout for technical debt. All the engineers that were freed up from AI-induced restructuring should be employed to pay down technical debt across the entire economy. Simply updating all software to use latest libraries is a great start. Using AI to diagnose, repair, re-deploy all old software. Using AI to rewrite all old software that cannot be recompiled.