nemo44x

6 ms·

31.
by nemo44x 7mo ago
I live this site - down votes even though it’s 100% true. There are TONS of old recordings that don’t even have masters anymore and the digital versions are ripped from a vinyl copy. There’s entire communities around this.
32.
by nemo44x 7mo ago
There’s a lot of articles about it. It costs them $500+ for heavy users. They do this to capture market share and also to train their agent loops with human reinforcement learning. https://ezzekielnjuguna.medium.com/why-anth
33.
by nemo44x 7mo ago
They lose money at $200/month in most cases. Again, the old rules still apply. You are the product.
34.
by nemo44x 7mo ago
Sentimental sure but there’s also a lot of music that was never properly remastered for digital so the vinyl distribution does in fact sound better.
35.
by nemo44x 7mo ago
Has anyone started a project to replace Linux yet?
36.
by nemo44x 7mo ago
We need filters. I’m not agreeing with Thiel but pointing out to parent why he is listened to but a guy sitting in his own piss is not.
37.
by nemo44x 7mo ago
Correct. We call that “credibility”. People can earn credibility in this world through their accomplishments. If your life accomplishment is sitting in your own piss you lack credibility.
38.
by nemo44x 7mo ago
Yeah I don’t think yet. But keep generating and tooling will arrive that can better connect it. We have the nodes (markdown files) but not the edges of the graph.
39.
by nemo44x 7mo ago
This is actually a good thing, or could be, for you and here’s why. Today no one gets a call back when they apply for a role they’re 100% qualified for. It’s because the recruiting system broke when LLMs became widely available. You can dum
40.
by nemo44x 7mo ago
It’s becoming a bigger and bigger problem actually. AI can create a perfect CV and cover letter and people apply for everything. It’s hard to get a callback because you’re just 1 datapoint. So recruiters have to call you first or use recomm
41.
by nemo44x 7mo ago
Provisional ballots work fine. Statistical inference works too.
42.
by nemo44x 7mo ago
At the very least teams will communicate with each other much better. So much of the tedium of office work is able to be automated so people can spend more time solving problems instead. But the communication will massively improve. More ar
43.
by nemo44x 7mo ago
Paper ballots work just fine. Why are we using tools for scale (computers) when voting is an incredibly small and finite domain. Just total waste of tax dollars and over engineered solution to a simple problem.
44.
by nemo44x 7mo ago
How do people not understand this? LLMs are goal machines. You need to give them the specific goal if you want good results and continue to reenforce it. So of course this means speccing and design work. People are so enamored with how fast
45.
by nemo44x 7mo ago
How many jobs were had or not due to the candidates ability to implement his algorithms?
46.
by nemo44x 7mo ago
They are, but the dogs got it pretty good now. Good shows for good boys.
47.
by nemo44x 7mo ago
So their business model is to deliver me buggy code and then charge me to fix it?
48.
by nemo44x 7mo ago
Imagine owning a money printing machine and then breaking it because you want it to print more money more quickly.
49.
by nemo44x 7mo ago
Supervisor agent frameworks are going to be a big industry soon. You simply can’t have agents executing commands without a trusted supervisory layer examining and certifying actions. All the issues we get from AI today (hallucinations, goal
50.
by nemo44x 7mo ago
You need to be sociopathic aggressive right now. We are in a few month window here where execs are very confused even if they parrot their group chat talking points to sound smart and ahead of it. They are all behind and they know it. This
51.
by nemo44x 7mo ago
It’s very uncomfortable. But yes, need to figure out how you differentiate and create extreme value with AI.
52.
by nemo44x 7mo ago
We went from “how can AI be useful to me” to “how can I be useful to AI”. Or headed that way.
53.
by nemo44x 7mo ago
The entire system and the agent loop allows for more complex goal resolution. The LLM models language (obviously) and language is goal oriented so it models goal oriented language. It’s an emergent feature of the system.
54.
by nemo44x 7mo ago
Work in smaller parts then. You should have a mental model of what the code is doing. If the LLM is generating too much you’re being too broad. Break the problem down. Solve smaller problems. All the old techniques and concepts still apply.
55.
by nemo44x 7mo ago
LLMs are literally goal machines. It’s all they do. So it’s important that you input specific goals for them to work towards. It’s also why logically you want to break the problem into many small problems with concrete goals.
56.
by nemo44x 7mo ago
Database migrations are hard and inductive and often fail in some aspect. Why would you want to spend time doing them when you can spend time building the important thing after the migration is done. Secondly - AI helps with happy path task
57.
by nemo44x 7mo ago
Yeah building acceptance criteria first is the way. An LLM is a goal machine. It uses probability over and over to advance towards the goal(s). That’s all it is and wants to do. So giving it well defined and granular goals and guardrails w
58.
by nemo44x 7mo ago
I’m implying that going anywhere in the Middle East (or a good deal of the world) has far more risk than going to the USA.
59.
by nemo44x 7mo ago
It’s why I said not those exact things. But already today when developing with agents you get best results from selecting it as much as possible so it can then logically break it into smaller contexts and iterate. It’s not just dropping in
60.
by nemo44x 7mo ago
I have some Euro friends that went to Dubai instead because the USA is “too dangerous” right now. I wish them safe passage back, but yeesh talk about irrational perspective.

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