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retrochameleon

288 カルマ登録 3 年前

コメント

retrochameleon
·5 日前·議論
Keeps them running until a breakpoint they hope is coming where all the AI investments and infrastructure they have places them at the top of the world. I (and it seems most tech companies) believe high quality data corpus and access to compute will become strong forms of hard power in the near future. The question is if they can survive long enough for that to come fruition, and if it's before all their investments deteriorate and deprecate.
retrochameleon
·6 日前·議論
This feels like an attempted primer and justification for major bailouts to the big AI companies. And this is all a problem that the companies have created for themselves by going so hard into AI investments based on wild speculation about the near future of AI. And the bailouts will probably happen because A: these companies have politicians in their pocket, and B: most of the government / politicians will frame this as a national security problem we can't afford to ignore. This all serves to entrench and centralize power and access to data for the major AI companies that managed to stay in the game up to this point.
retrochameleon
·6 日前·議論
When science is already experiencing a funding stranglehold, how do you expect researchers to have access to do experiments in space?
retrochameleon
·6 日前·議論
Asteroid detection is certainly affected by satellites. The ever increasing number of satellites makes observations that normally detect asteroids very difficult. It is very easy to miss asteroids we would have seen otherwise if not for satellites giving off glare, reflections, and light. We don't just look for asteroids coming directly towards earth, we keep track of all sorts of large objects and their orbits in our solar system. The tracking authority is usually the IAUC Minor Planet Center.
retrochameleon
·13 日前·議論
I agree with your point.

I also agree that parents taking zero accountability for their kids is BS. I think we are due for some improved tooling to provide for parents to monitor and control internet access. I'm tired of parents acting like there is nothing they can do except support broad invasion of privacy and anonimity with no regard for the cultural and political repercussions.
retrochameleon
·19 日前·議論
Look up Benn Jordan's video on datacenter infrasound. Just because you can't perceive the noise doesn't mean it's not there and it doesn't have an effect on the human body, especially over very long periods of time.
retrochameleon
·20 日前·議論
More and more repitition. You get better at recognizing familiar scenarios and employing an effective measure without thinking about it too much.

Early skill curve can be rough. Recommend playing 8v8 noob lobbies pvp or against bots to learn.
retrochameleon
·20 日前·議論
Weird. Are you paying someone in order to access the game?
retrochameleon
·26 日前·議論
The project looks different from what I was expecting. Why is there a pre-built knowledge graph? Why wouldn't the tool build a graph from MY environment and stack of skills, MCP, etc.?
retrochameleon
·29 日前·議論
I think his personal impact is overstated. Maybe I have a bad taste in my mouth from overzealous fanboys, but all I see is a manchild who likes scifi and tech, and threw a bunch of money he didn't work very hard to get in the first place at the right problem at the right time. The reason Tesla and SpaceX succeed is because of every person at the company besides Musk.

Have you forgotten Musk nearly sabotaging their own company with tweets tanking their stocks?
retrochameleon
·先月·議論
Frankly I've tried quite a few clients and haven't found one I can settle for. I used Mailspring for a while because it was close to being a gmail experience, but that went some kind of bad way I don't remember and I don't think is developed anymore.

I want a client that is simple but flexible by default, extensible, themeable would be nice, and for the love of god has key shortcuts for everything THAT CAN BE CHANGED. LOOKING AT YOU, THUNDERBIRD.

Thunderbird is almost usable for me, but the UI is just absolutely abysmal. The kicker is not being able to change key shortcuts, making Thunderbird unusable for me.
retrochameleon
·2 か月前·議論
I had a low stakes cyst removal from my butt crack once. Sparing the other details, the anesthesiologist explained the different drugs, one to numb, one to prevent my memory from forming. I asked if they could leave out the memory drug and I could remain cognizant. She didn't mind and I had a nice chat with her about anesthetics while on my stomach having doctors cut out part of my butt.
retrochameleon
·2 か月前·議論
How is this an argument when you can use extensions on the desktop version?
retrochameleon
·2 か月前·議論
This recent focus on ibogaine is annoying when we have previous promising success with what I understand to be low risk side effects in a controlled environment using substances like ketamine and MDMA.

I've never seen something in other well known psychedelics to compare to the health issues I've seen associated with ibogaine, so who is benefitting from us putting all this attention on it now?
retrochameleon
·2 か月前·議論
I've been trying to work out a way to use my Steam Deck as a controller for my PC. In a perfect world I would be able to do it directly over USB or Bluetooth, but this might be the next best option. I was trying to make an abandoned project work that was supposed to do just that and haven't gotten anywhere yet

I was previously using Steam Connect to do it, but the connection would randomly drop out after a while or suddenly crash the game, so I had to stop doing that.
retrochameleon
·2 か月前·議論
Thanks for introducing me to those concepts.

If I take the Bitter Lesson into account, I would frame this as needing more focus on enabling a general intelligence to use tools more effectively and when appropriate to essentially stop making mistakes.

A basic example being a calculator. The AI needs to recognize its default thinking pattern doesn't work well for math calculations, so it delegates it to the available calculator tool / skill / MCP instead. An LLM should not be relying on LLM prediction to give a mathematical resultant figure, ever. It should come from a deterministic tool. If anything, the LLM may interpret the problem and convert it into starting math figures to use for calculation.

If we can enable AI systems to learn and apply that for themselves, and even develop their own deterministic tooling and sense of what tool to use for what job, that starts to sound promising to me.

Skills feel like a conceptual stepping stone to the next useful abstraction.
retrochameleon
·2 か月前·議論
Using Linux is a learning experience. You will inevitably face and solve numerous problems over time, but every time you do, you come out of it understanding what's going on under the hood a little more.

Still, it can be dreadful to face even small issues when you only feel like using your computer and not fixing it. Having an LLM agent help with fixing issues is a lifesaver. Ask it what you don't understand, take note of the commands it uses or suggests while troubleshooting and fixing your issue, and you'll supercharge your learning and not get as hung up on the issues.

If someone doesn't care much to learn though, I'd say Linux is still tough to recommend.
retrochameleon
·2 か月前·議論
Full time linux user for 8 years now. The knowledge base of discussion around Linux issues is vast and usually has the answers you need. Albeit with the variety of distros and their differences you must be mote scrutable in identifying what is applicable to your situation. Stick with mainstream like Ubuntu and you will have tons of community support and knowledge to search through.
retrochameleon
·2 か月前·議論
I was skeptical that LLMs could be the right path to AGI, but then I kept being impressed by how much further we could take it by expanding upon the way we use it, the harnesses we use with LLMs, and better context engineering.

When I see how LLMs are capable of essentially prompt and context engineering for themselves, it makes me think they won't need human guidance forever.

When it comes to simple fact-based tasks that have a concrete methodology, it is no surprise to me that LLMs aren't the right tool, and I believe it's a failure of the harness to not recognize those types of tasks and handle them with a more concretely functioning tool instead of relying on statistical probabilities in the LLM "brain" to spit out the correct number to a math problem.

In the same sense that LLMs can use "skills" when necessary, it should have tools or possibly even specialized "brains" for it to pass of certain types of tasks to.

I'm starting to feel that our first form of AGI is not going to be a single brain but an elaborate system of harnesses, multiple LLM models, skills, domain and task specialized subsystems it passes tasks off to, etc. Whether we get there with current LLM technology before some other evolution in AI is the question, to me.
retrochameleon
·2 か月前·議論
I'm American. It's the pervasive culture. The brush doesn't need to be narrower.