pbkhrv

> How parallelism changed the agent’s research strategy > With a single GPU, the agent is stuck doing greedy hill-climbing: try one thing, check the result, pick a direction, try the next thing. With 16 GPUs, the strategy shifts. ...skip... 12 experiments in a single 5-minute wave. This makes it much harder to get stuck in local optima and much easier to find interaction effects between parameters.

The agent can theoretically come up with a protocol to run those same 12 experiments one-by-one and only then decide which branch to explore next - which I think would lead to the same outcome?

But in this case, it just happened to have stumbled on this particular outcome only because it didn't get a chance to execute a greedy strategy after the first 1 or 2 results.

Worse experiment design + parallelism = better experiment design + serialized execution ?

Very cool. I'm imagining using this with Claude Code, allowing it to wire this up to MCP or to CLI commands somehow and using that whole system as an interactive dashboard for administering a kubernetes cluster or something like that - and the hypothetical first feature request is to be able to "freeze" one of these UI snippets and save it as some sort of a "view" that I can access later. Use case: it happens to build a particularly convenient way to do a bunch of calls to kubectl, parse results and present them in some interactive way - and I'd like to reuse that same widget later without explaining/iterating on it again.

Grassroots-level adoption was key for things like Dropbox, IMHO - it solved a real need for individual people and it worked well and was easy to use. Same for Docker - developers adopted it in droves, and then enterprises followed.

Inrupt is trying to bootstrap a two-sided marketplace of sorts: product builders won't care until enough potential customers demand support for the "data pods", and regular people won't care until "data pods" solve real everyday problems for them.

Hopefully Inrupt's team has enough business-savvy people on it to find ways to gain traction to slog through some of the tough early stages of the product adoption cycle.

> "In many ways, 2017 marked the year that cryptocurrency stopped being about technologically innovative peer-to-peer cash and instead essentially became a new, unregulated penny stock market."

I don't think it stopped being about tech innovation - there is a ton of stuff happening around proof-of-stake, layer 2 networks, state channels etc. It's just that the stories around the speculative aspects of the cryptocurrency assets have been dominating in 2017.

My toddler is allowed about a half hour of cartoons on Youtube on the big TV per day. He's played with the iPad a few times in his life. Lots of books and Legos and physical toys in our house. Waiting for longitudinal studies to come out, not taking chances with the little brain.

Every other month I go on a media diet: no social media, no news, no unnecessary browsing of any kind - only books and a small number of podcasts are allowed (plus whatever Internet usage is necessary for work). I've been doing this for more than a year now, and it has helped me feel a lot less "fragmented". I highly recommend it.

Wait, so if I run a Go-playing program from 10 years ago on the AlphaGo cluster then it'll produce better results than it did 10 years ago?

> If we have a computer program that is able to design better hardware, it can be improved by simply moving it to better hardware.

Could you please elaborate? What is it about "better hardware" that makes software that runs on it "better"? Can you define "better"?

> Our environment, which determines how our intelligence manifests itself, puts a hard limit on what we can do with our brains — on how intelligent we can grow up to be, on how effectively we can leverage the intelligence that we develop, on what problems we can solve.

Consider internet to be the "new" environment, full of highly complex social networks, millions of applications to interact with etc. Our brains are way too limited to be able to deal with it. There's an opportunity for a much more powerful intelligence to arise that CAN effectively process that volume of data and appear to be a lot more intelligent in that particular context.

It's a firewall for attention. One day somebody will build an app like that for AR glasses.

None of the 15" Precision series laptops linked from that page seem to be available with Linux on their dedicated sales pages... Weird.

Edit: they don't list Linux as being available until you go to "Customize and Buy".