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Every SemiCon usually has a RiscV forum. Obviously there are also RiscV events. Wesemibay usually has several RiscV processors and GPU's from new vendors and you can then go and check what features they support. But basically as with everything else you have to show up and talk to people, or just look at the summaries afterwards.

Many solutions nowadays.

https://www.payoneer.com/ is one of them. Of course this one is a bit racist depending on which contry you were born in.

Iron Dome is designed for protecting from home made rockets made with dung from the Gaza Strip. And according to research the main reason for the low casualty rate is actually the early warning. How exactly is it supposed to help with real missiles and drones?

How do these scams keep happening? Why doesn't anyone care how their taxpayer money is spent?

They already are.

What about Group x.

You just AI generated 1 millions lines of code claiming it's for safety. Who exactly is to make any kind of security guarantees about this?

Working on project-hami.io, but recently decided that all the new markdown based presentation tools have far too much HTML dependency, so I decided to build my own, with custom extensions and plugins. It's supposed to support some basic structures that allow easy creation of presentations, but the editable odp conversion is proving to be a nightmare. It should be possible, but I need help.

https://github.com/slidr-cli/slidr

All sorts of optimizations. Of course vision is huge. Lots of production use in all sorts of manufacturing. Lam research had a few talks a semiconductor manufacturing optimization. There is also CUDA assisted RAN.

Maybe AI is a bit of a misnomer, since everything ML at some point just started getting called AI.

Era is a bit of a generic name. Just found another podman one with https://github.com/thomaspeklak/agent-sandbox

just found era it's deprecated, so it wasn't that.

Corruption to push it through, not giving a fuck to keep it that way.

Gentle reminder that while most money is spent on LLM inference, the vast majority of useful AI use is in fact not LLMs. Also, more and more work is poured into making small models. One thing I like about the whole export controls saga is that people are finding creative ways to squeeze performance out of these devices as witnessed in this post. But, if you then look at solutions like vLLM, vLLM will just fill whatever VRAM is available, no matter the context size, or the model size. So then you have two things to worry about:

First, where do you know exactly what the optimal VRAM assignment per model, per context size is, which seems to be currently based purely on experience and second how do you make sure that only that amount is available to your infra/containers, which is being handled by DRA and stuff like https://project-hami.io

While only tangentially related to the blog post here. The title is picked in such a way that I couldn't help, but put the shameless plug here. When he wrote popping the bubble, I thought we're talking about devices and reducing NVIDIA dependency, but this seems very focused on Cuda.

Disclaimer: I work with Dynamia.ai, the founders of which created HAMi.

Last year you could buy a AI Max 395+ with 128G for 2.5k, now it's almost $4k.

Or maybe you're right, I originally remembered 2k as well. I wanted to wait for the AI Max 395+ upgrade of my laptop, and now it makes no sense to upgrade.

Permanent heat doesn't?

Half a year ago you could get a AI max 395+ with 128GB ram in mobile form factor for ~$2200. The same thing costs $3700. Same SoC, same memory.

Is it hyperbolic though? One of the best things about the compute and memory shortage is that people are going to insane lengths to optimize things to run on lower memory / lower compute devices. If we keep this up for a while and then ramp up memory and local compute production, that AI inflection point may actually come.

Of course, these are a lot of ifs.

I'm extremely concerned about the state of Open Source. The gamification of the whole thing & devstats means that people that are good at gaming metrics are rising up the ranks and people that are genuine high quality contributors and pushed to the sidelines unless they have a very popular profile. Mass generated AI slop and AI content gives people massive devstats boosts.

If it throttles CPU it means by definition means that a fan helps. Also constant heat increases failure rate.

Funny you should bring up Germany, since it's an a place where a monopoly class of Notary's gets to suck you dry every time you add a new investor to your business in a reading session where the only value he brings to the table is to read the whole thing for you.

It's interesting that decades into this we are still calling the massmurder and pillaging of dozens of countries, turning entire geographic regions into war ridden wastelands with slave markets, a "war on terror". Meanwhile the leaders of those so-called terror groups are praised and invited to ALL the western capitals.

Unfortunately Europeans are terrible customers for making money. They ask a lot of questions and they're very stingy with their wallets. Americans on the other hand ...

The whole internet AND local computing. This may be cool for people on SF salaries but for the vast majority of the world memory has become a luxury good

I'm not sure how much of it is just an unintentional side-effect of greed from promises of international capital based in NY, and Dubai, and how much was intentional malicious behavior to destroy home compute to force people to pay for openai subscriptions, but the role of a functioning government typically is to keep corporations from doing exactly this.

Regardless of which one it is, I absolutely despise the cartel that is running the US government right now, that created this situation for their crony big tech buddies.

It's very broken, and I'm not sure if it's possible to write everything original given that you're expected to repeat 2/3rds of past research to fill pages when you write your thesis. For a master thesis that was at least 100 pages. For a PhD nowadays each one of those is published as a book. At least it was like that in my engineering department.

LSPs keep getting reimplemented, package managers keep getting reimplemented. It's a bit like the react version of text editors.

I used it more than I use emacs, but I agree with the assessment of doom emacs vs neovim.

And I feel like the reason why OpenAI was so aggressive with messing up the RAM market, was specifically to make it hard for us to run models on our own hardware.

Small models are the future.

Chinese have a nickname for Trump. 川建国. Trump the nation builder(meaning China). But Biden actually continued most of Trumps policies.

I responded to the wrong post. I meant to respond to the parent("korean"/"as an east asian")

Wait, how can you as a Korean say these things as if you're different, given that Korean companies are essentially the same?

Every time I try use Vivaldi I encounter how incredibly slow the UI is. Are all Vivaldi users running it on specced out desktops? Or is it just ao lineux UI latency issue?

What you describe here has always been true in all sciences, but also in medicine. But both modern engineering and education runs completely counter to this. You are encouraged to stay in your niche and never look out. People with vast interested are filtered out by hiring managers.

So the crossdomain pollination that used to exist in scientists is not only not encouraged. It's also actively punished by society.