The Asahi Linux group goal should have been organizing themselves by taking out a license on Arm processor (probably too late with the present owners) and building a new Linux Distro to go with it instead of being a parasite on someone else’s existing hardware, if the three ex-engineers from Apple could do something like that why couldn’t they aim higher? Why waste time spending years reverse engineering. Wouldn’t it have been easier to raise money for such an endeavor?
make everyone's voice matter. actually listening to peoples concerns and try to address them. but also, treat everyone as being on the same side. we all want a better life. we should cooperate to achieve that. globally. it takes education. not just STEM, but also moral education. teach people to care about each other and to listen. we need to eliminate prejudice and racism and make it possible to resolve conflicts.
it's a long road to get there. but it's the only way that is going to work.
"When I was working at the library circa 2005 we were thinking about replacing all the Windows computers that patrons used to access the online catalog (and other services)"
why were you thinking of going Sun, as late as 2005? just easier to lock down, like kiosks?
China will most probably win the AI race in the long run because of one major bottleneck the US has - energy. The electric energy and grid buildout in China has been massive since a long time and there is simply no way for the US to quickly catch up.
No matter how much cash you throw you can't just materialize a 100 nuclear reactors to power the data centers.
Let us say someone had few good ideas, and seeded them into a prompt, and after few back and forth, web searches via agent, feedback from the author, a piece of work was produced and the author decided to share it as a blog.
This is not much different than how people are producing original work LLM in areas such as math.
Would you object to reading their work because it was a byproduct of collaboration between AI/Humans? What about songs? movies? math proves? and software produces as such?
Co-founder conflict is responsible for far more fuck-ups than we may care to notice.
One Princeton study about co-founders says 65% of startups failed due to co-founder disagreements. Ultimately, it all boils down to one word, always: control. Is this a feasible proposal to eliminate the co-founder conundrum?
They're lossy. I might make an esoteric reference that no one gets, or an analogy that doesn't quite land, and then have the LLM help me come up with something a bit more understandable to a general audience. There's a difference between dumping the output that you spent 5 minutes with, and taking an hour to craft that perfect analogy.
You seem to think "being smart" will matter in a society which doesn't need the labor output of "smart people". You'll be lumped in with all the rest. Nothing will matter but who controls the capital now.
The lazy ones are the people spending 60s prompting then hitting copy/paste. They dump it on me as is and call it a job well done, which leads to me doing their job for them or calling them out in a very public way to stop the behavior.
I don’t like doing either of these things. It is rude and selfish to put me in that position.
i mean, imagine if your a business and suddenly you had to expense > $200 a month for every employee just to run a compiler, or you could just buy a computer and use it for everything else and that as well…
i think llms will be the same.
n=1 but at $work they are forcing us off enterprise and on to personal claude max that caps at $200 and people are like “you don’t need the top end models anyways just use the cheaper one for coding”, which begs the question how long till those “good enough” models run locally (with relative ease) and our company can cut that huge monthly cost with just the macbook pro they are gonna buy anyways.
I know in electrical engineering / chip design, it's actually quite hard to do "real" research that's useful for industry simply because of how expensive it is to make chips... I think most research for improving LLMs will go in a similar direction.
I've personal almost stopped reading papers in my area, which is in ML but not related to LLMs or CV. I do look for work related to whatever I'm doing, but it's kind of depressing how uncommon it is for (say) neurips papers to actually have anything useful...
(It's also kind of annoying how basically all funding agencies are only funding research into or using AI, but don't provide enough funding for lots of gpu time lol)
Populists of all stripes love tariffs and the illusory promise of autarky. We didn’t see Biden remove any of Trump 1’s tariffs and not a single Democrat in congress has committed to repealing the tariffs.
I'm not using a platform but I set up a telegram bot that is backed by AI (DeepSeek flash tokens are almost too cheap to meter) that handles my strength training workouts. It reminds me of the days workout, takes my feedback on each exercise difficulty and adjusts it for the next round, handles injury rehab prescriptions, and so on.
I'm now considering putting a coding harness inside it so I can actually ask it to improve itself on the fly, since I realized that having to switch to my laptop just to give a short feedback is a bit silly, why not right through the bot?
It's working well so far and helps with my tendency to forget my workout program for days at a time since it pings me daily.
We want safety! -> Cyber doesn't work for you, but works for criminals -> Oopsie, our servers are hacked, data stolen -> We are sad, we want no guardrails -> No guardrails, robot hits a baby doll, sad again! -> We want guardrails!
Bounds do not imply bounds. There are an infinite number of numbers between zero and one. Heck, with our finite minds in finite time we have created uncountable infinities!
i ran some interesting experiments on jev today and wanted to share the results. i compared cost and latency of support ticket triage with different arrival rates for jev vs mainstream LLMs: https://suraj-website-eta.vercel.app/blog/what-a-correct-dec...
Education needs to adapt. Currently CS graduates barely compete with Gemma-4 26b in programming while seniors are feeding tons of expertise at armies of frontier AI agents. The market now needs junior employees good at "using AI like an expert". Once employers see that junior armed with AI can replace senior at half the salary, we're back where we were 10 years ago.
Senior (now):
- AI build me an app that uses a graph DB that will deploy in the edge. Batch DB requests to keep costs low. Oh, use good cache + memoization to reduce hits. Write great tests, some logging and implement hot-reloading for a great dev-to-ops workflow that is also resilient. Man, before I had to do this all by hand, this is a godsend!
Junior (now):
- AI build app please.
Email from boss: Junior! Whatever it is you've deployed, it's making 1M reqs/min to the DB and ate up our quota 2h ago. Shut it down now!
Junior (future):
- AI1 design for cost. AI2 eval for performance. AI3 align for business goals. AI4 criticize AI1 and AI2 using top standards. AI5 set up a competing swarm. AI6 here's a budget, spend on real users and action on telemetry and their feedback.
I have no idea how good it is at coding but it seems to be good at omniscient tasks like solving a puzzle game I made [1]. It's a bit of a silly eval but I wonder if strong recall makes it good for knowledge tasks like legal work.
"The speed alone doesn't translate to productivity and productivity alone doesn't translate to quality."