You can achieve close to the same thing using uBlock element zapper, without installing extra plugins. I use the same trick for SO ('Hot Network Questions' darkpattern) and other sites.
38 karma · joined June 10, 2017
2. For more complicated tasks it requires good prompting. Example: Tell me three ways to fix this error, then pick the best way and implement it. <paste error> <paste relevant code>. Without the "step-by-step" approach it almost never works.
3. It's pretty good at writing microbenchmarks for C++. They always compile, but require some editing. I use the same prompting approach as (2.) for generating microbenchmarks.
4. It's pretty useful for explaining things to me that I then validate later via Google. Example (I had previously tried and failed to Google the answer): The default IEEE rounding mode is called "round to nearest, ties to even". However all large floating point numbers are even. So how is it decided whether 3,000,003 (which is not representable in fp32) becomes 3,000,002 or 3,000,004?.
5. It can explain assembly code. I dump plain objdump -S output into it.
The main limitation seems to be UI. chat.openai.com is horrible for editing large prompts. I wrote some scripts myself to support file-based history, command substitution etc.
In general I'm still confused about whether vectorized load instructions (LDS.128) necessarily lead to bank conflicts or not. My impression was that consecutive 32b floats get mapped to different banks, so to avoid conflicts I'd want the warp to load 32*32b consecutive elements at each step.
It get's you ~10x speedups for batch predictions, more if your model is big. It's not complicated, it ended up being <1K lines of Python code. I heard a couple of stories like yours, where people had multi-node spark clusters running LightGBM, and it always amused me because by if you compiled the trees instead you could get rid of the whole cluster.
Most of these AGI doom-scenarios require no self-awareness at all. AGI is just an insanely powerful tool that we currently wouldn't know how to direct, control or stop if we actually had access to it.
The author concludes (IMO, but you should read it yourself) that while tutoring does have positive effects, the 2 Sigma effect size measured by Bloom was probably an outlier.
It's very fast and ~4 lines of code. It's surprising how often I rediscover old blog posts & papers that are much better than what Google yields me.
From my experience Recoll isn't very good at searching for aliases sadly.
[0] https://www.reuters.com/article/us-pharmaceuticals-r-d/pharm...
> I know many people who try Anki out, and then go down a rabbit hole learning as many features as possible so they can use it “efficiently”. Usually, they're chasing 1% improvements. Often, those people ultimately give up Anki as “too difficult”, which is often a synonym for “I got nervous I wasn't using it perfectly”. This is a pity. As discussed earlier, Anki offers something like a 20-fold improvement over (say) ordinary flashcards. And so they're giving up a 2,000% improvement because they were worried they were missing a few final 5%, 1% and (in many cases) 0.1% improvements. This kind of rabbit hole seems to be especially attractive to programmers.