pepijndevos

ramalama seems to be trying, it's a docker based approach.

How far away is this from the top speedruns? The readme mentions OpenAI beating Dota 2 pros with the same models, so who knows??

It seems like an AI would not "play by the rules" and can easily detect weird edge cases and shortcuts. But as far as I can tell from the small GIFs, it's not doing any particular glitches.

I'm really looking forward to get one of these things when they come with decent warranty and without dead pixels. I'm as eager as anyone to get away from the walled garden duopoly, but since it's not suitable as a daily driver yet, maybe I'll be able to restrain myself and not buy it.

Pleasantly surprised by Linus response. IIRC his attitude to C++ was that it should be refused if only to keep C++ programmers out.

How do these models address overfitting? I'm sure this is taken good care of, but from just reading the article it almost sounds like some details were added to make it fit recent changes better.

Yea, I think this is an interesting approach. But FreePDK45 slides mention that it's not designed for manufacture, and there does not appear to be an easy upgrade path. So you could design a chip with FreePDK, release the design, and then redo the whole thing in a vendor PDK.

I talked to someone who worked on AsicOne, and he said that even if you make your own PDK and draw your own transistors and everything, you'll still have to sign an NDK to do the sign-off and what not. I'm not intimately familiar with the whole process myself, but from what I understand it is basically impossible to have an open source analog design that you can actually manufacture. (sure, you can make a theoretical toy thing, but if you can't manufacture it, who cares?)

Open source semiconductors is such a broad area, and sadly only a tiny spec of it is open source: The HDL code that describes the digital circuit.

Everything else is very experimental at best. These days the FOSS FPGA tools are finally getting some traction, with Yosys and Nextpnr. But AsicOne tried to make an ASIC with open source, and faced endless troubles.

For ASIC there is basically QFlow, which is quite old, but used successfully to tape out a chip in the past, and there is OpenRoads, which is very new, experimental and ambitious. There are still major gaps in these tools, so in the end you inevitably have to sign an NDA and use proprietary tools and libraries.

And that's just talking about DIGITAL semiconductors where you compile HDL to pretty much generate the transistors from foundry cell libraries. So you have to sign an NDA to get the cell library, but you can at least release your code.

For analog chips, you can't do anything. An analog design highly depends on the parameters of the transistors you use, so before you even BEGIN designing, you have to sign an NDA to get the transistor models and you can NEVER open source an analog design.

The small dot of light at the end of the tunnel are projects like Minimal Fab, who make more accessible fabrication lines with open transistor models.

The crazy thing is that back in the days there were lambda rules, which were open rules anyone could use to design and model with. But with sub-micron devices, these scalable rules no longer scale, so fabs started producing secret models for their specific process.

I'm hopeful that after FPGA, and digital ASIC, analog will be next to be revolutionized.

This pushed me over the edge to switch to DuckDuckGo. So far so good.

Can I actually see tweets from the people I follow, or only really look at specific profiles?

This looks really cool, but on Arch it does not compile because libgnomeui is not a thing that seems to exist anymore. Hasn't anyone made some modern port of this?

I really want Signal to succeed. Or rather, I want anything that has decent cryto and is not FAANG to succeed.

The problem is not which messaging app I want to use, it's which messaging app my friends are using.

That said, if I had to choose, I think Matrix has a slight edge in my books because it's a protocol rather than a silo. Even though Signal is private and open source, they are hostile towards people running their own Signal builds on company servers, and unwilling to federate with other servers.

Essentially, you run the official Signal app on the official Signal servers, or GTFO.

I would think it is extremely easy to spot fake reviews statistically. The other day I was browsing a Dutch website similar to Amazon, and they show a distribution of the ratings. For a given category, there were a few products at the top that had hundreds of 5 star reviews, a wide gap, and then a few 1 star reviews. Meanwhile, the other products had a fraction of the reviews with a more natural distribution.

How many people do you actually recognize?

Personally, only Limor Fried. It's weird, but also interesting, that tech is so faceless.