dnadler

Well, for one thing, I’d point to all the other anecdotes of developers being made 10x more efficient due to LLM use.

But really I’m just comparing against my personal experience. Once I learned how to use the tools well, and what to expect (and what not to), I’ve found LLMs to be very powerful.

> Don't use it to write code. It's a terrible programmer.

I see this sentiment often, and I’m honestly not sure where this comes from, as it’s really not been my experience. I feel like this must come from people feeling threatened and just moving the goals posts, or not knowing how to use the tools effectively.

Was it repressed? It doesn’t look to be significantly less prevalent than other 9s from the histogram.

He sold his business. That tends to happen quite a bit.

Yeah, historically it’s been software that’s limited AMD here. Not surprised to hear that may still be the issue. NVidia’s biggest edge was really CUDA.

It’s not that they don’t have it. It’s that they don’t want it.

Software aside, does AMD have a potential strategic advantage in the long term since they are also producing top tier CPUs? Is there some future benefit to tightly integrating their products? IIRC NVidia partnered with intel for this purpose, right?

I’ve been wondering about this. It used to be that different chip makers had different efficiencies, and so measuring two different companies chips in gigawatts wouldn’t be a good apples to apples comparison.

Is that still true or has the gap narrowed? Or have GPUs always been similar across the board and it’s CPUs that have more disparity?

I think maybe this refers to unlearning wrong information?

I have a similar mindset though less focused on the type of questions being asked and more about how many times I have to answer the same question.

Ideally, the number is one time. As in one conversation where the person walks away understanding the answer. If I have to have that conversation more than once it’s a problem.

Obviously there’s nuance - it can take time to get your head around a new concept or hard problem. But in any case, I like that as one dimension when thinking about a person’s skill/level/potential.

Actually, I think humans require much less energy than LLMs. Even raising a human to adulthood would be cheaper from a calorie perspective than running an AGI algorithm (probably). Its the whole reason why the premise of the Matrix was ridiculous :)

Some quick back of the envelope says that it would take around 35 MWh to get to 40 years old (2000 kcal per day)

I think the big piece that is being overlooked here is the distance. The distance itself poses significant challenges. The obvious things like resupply and communication are much harder. But also the journey to mars is much harder on the human body.

Rescue and abort options are also much harder. The moon is close enough to easily resupply or rescue people on the surface, mars is much harder.

I haven’t kept up with python too much over the past year or two and learned a couple new things from this code. Namely, match/case and generic class typing. Makes me wonder what else is new, off to the python docs!

Oof, yeah, this site is really not great on iOS.

The first time I published a site, I was surprised by how much traffic came from mobile devices, even though my page was intended for desktop users. I really shouldn’t have been surprised, but fortunately I had some basic analytics and saw fairly quickly how bad my bounce rate was on mobile and was able to work on it a bit.