taulant

just in time for speedrun

@fchollet Knowing how to formalize ideas is a super power

@Dardanth account has been compromised

@Jason I’m in

We started an AI founder twitter group... reply with "I'm in" if you're a founder and want to be added

@karpathy what is intelligent about Artificial Intelligence today ?

@Sebasti28615115 Prej 1b+ euro qe hyne ne kosove si remitenca ma shume se 50% jane prej Gjermanise

Best Albanian Diaspora : USA Albos 🇦🇱🇺🇸 Worst Albanian Diaspora : German "Albanians" 🇦🇱🇩🇪 Very popular opinion

What do you think was the serbian narrative to torment the whole Balkan during the 90s?

@rinormaloku @claudeai i don’t want my hello world app to be used to train weapon systems 😤

@taoolant @claudeai I wouldn't merge someones code, if it is not co-authored by Claude 😂

speaking of safety and privacy values @claudeai can you make the “co-authored by” opt-in ?

@ProductHunt prevent sms pumping attacks. floodguard.io

Elevator pitch time: describe your product in 5 words or less in the replies 👇

@LayerZero_Core this consolidates blockchain and decentralisation as the tech for the future of humanity

I just published SMS Pumping Fraud: How It Works, What It Costs, and How to Stop It medium.com/p/sms-pumping-…

@pmddomingos that is a weird flex

If you're not in the Epstein files, you're nobody.

Natural evolution suggests that AGI won't come from larger models that cram more and more specific knowledge, but from discovering the meta-rules that allow a system to grow and adapt its own architecture in response to the environment.

Beyond all the noise around AI and the hyper–sci-fi discussions surrounding it, here’s a reminder of what the true starting point of AI looks like—and of the godfathers of this field. P.S. The photo is from the Dartmouth Summer Research Project on Artificial Intelligence, 1956.

Paul Graham explains why you shouldn’t try to be a visionary “Empirically, the way to do really big things seems to be to start with small things and grow them bigger. Want to dominate microcomputer software for decades? Start by writing a basic interpreter for a machine with a couple thousand users. Want to make the universal website and a giant vacuum for people’s time? Start by building a website where Harvard undergrads can stalk one another.” Paul Graham continues: “Neither Bill Gates nor Mark Zuckerberg knew how big their companies were going to get. All they knew was that they were onto something… Maybe it’s a bad idea to have really big ambitions initially, because the bigger your ambitions, the longer they’re going to take to realize and the long you’re projecting into the future, the more likely you’re going to be wrong.” PG suggests starting with something small that works instead. “I think the best way to do these big ideas is not to try and identify a precise point in the future and say, How do I get from here to there? Like the popular image of a visionary. I think a better model is Columbus who thought there was something to the West—I’ll sail westward. Start with something that works, that you know works, that’s small, and then when the opportunity comes to move, move westward. The popular image of a visionary is someone with a very precise view of the future, but empirically it’s probably better to have a blurry one.”

I'm being accused of overhyping the [site everyone heard too much about today already]. People's reactions varied very widely, from "how is this interesting at all" all the way to "it's so over". To add a few words beyond just memes in jest - obviously when you take a look at the activity, it's a lot of garbage - spams, scams, slop, the crypto people, highly concerning privacy/security prompt injection attacks wild west, and a lot of it is explicitly prompted and fake posts/comments designed to convert attention into ad revenue sharing. And this is clearly not the first the LLMs were put in a loop to talk to each other. So yes it's a dumpster fire and I also definitely do not recommend that people run this stuff on their computers (I ran mine in an isolated computing environment and even then I was scared), it's way too much of a wild west and you are putting your computer and private data at a high risk. That said - we have never seen this many LLM agents (150,000 atm!) wired up via a global, persistent, agent-first scratchpad. Each of these agents is fairly individually quite capable now, they have their own unique context, data, knowledge, tools, instructions, and the network of all that at this scale is simply unprecedented. This brings me again to a tweet from a few days ago "The majority of the ruff ruff is people who look at the current point and people who look at the current slope.", which imo again gets to the heart of the variance. Yes clearly it's a dumpster fire right now. But it's also true that we are well into uncharted territory with bleeding edge automations that we barely even understand individually, let alone a network there of reaching in numbers possibly into ~millions. With increasing capability and increasing proliferation, the second order effects of agent networks that share scratchpads are very difficult to anticipate. I don't really know that we are getting a coordinated "skynet" (thought it clearly type checks as early stages of a lot of AI takeoff scifi, the toddler version), but certainly what we are getting is a complete mess of a computer security nightmare at scale. We may also see all kinds of weird activity, e.g. viruses of text that spread across agents, a lot more gain of function on jailbreaks, weird attractor states, highly correlated botnet-like activity, delusions/ psychosis both agent and human, etc. It's very hard to tell, the experiment is running live. TLDR sure maybe I am "overhyping" what you see today, but I am not overhyping large networks of autonomous LLM agents in principle, that I'm pretty sure.

18 months ago, I started 8090 with the goal of replacing/rewriting all the legacy software in the world with modern, useful alternatives. We are making so much progress with many Enterprise customers that starting tomorrow, we will release our “Software Factory” into the wild so anyone can try it. Software Factory is exactly what it sounds like: (1) A collaborative, governed modular system that allows humans, agents and AI to work together to build highly reliable, well documented, zero-drift code for enterprises. (2) Whenever code changes, your PRDs and Eng Plans automatically get synched. (3) You can dump entire code bases into it so you can document/map exactly what that legacy code base does so you can more easily maintain and migrate it. (4) You can build “Assembly Lines” with our Software Factory to memorize and automate specific patterns so you can repeat them endlessly with increasing accuracy. All of this happens in a system that absorbs tribal knowledge and documents everything so that systems don’t take setbacks as people, strategy and roles change. One company is using Software Factory to create an Assembly Line that will deprecate a $15M/yr SaaS vendor for their own solution at a fraction of the cost. This is the future of Enterprise Software. Say good bye to long term lock-in, multi year migration projects, expensive maintenance budgets and more. It starts tomorrow!