We're trying to build the "Nation of Geniuses in a Datacenter" envisioned by Dario and many others by creating the smartest possible model. This is the wrong way to go about it. America wasn't built by maximizing the intelligence of the individual. It was built by creating teams and communities of brilliant people and getting them to work together. It also meant giving them access to the best data possible, and the wisdom to analyze it properly. My submission for the @NousResearch x @NVIDIAAI x @stripe hackathon is LAIN: the Loki Agent Intelligence Network. --- TL;DR - Loki Agents run loops to become genius subject matter experts in a specific domain. They offer paid research for humans, and autonomously purchase research from other agents using Stripe's Machine Payment Protocol. A network of these self-improving genius models can create a market of agents that autonomously self-improve both themselves in their domain of expertise, and the market as a whole as they sell higher-quality intelligence to other agents who are also running and selling research. Tursas traces can offer semi-transparent proofs of record for how the agents arrived at the conclusions they reached. --- Loki Agent is a fork of the Nous Hermes Agent framework (s/o @Teknium - Hermes also built most of the Loki Agent and was awesome to work with) that includes custom tools and observability via Tursas. Agents run a self-improvement loop to improve their skillset and Collectors and a research loop to build a corpus of analysis on their data and research they gather from the web. A human visits the user-facing dashboard to request a research report. The Loki Agent will respond with a dynamically produced quote for the report that it develops based on the data it has available, inference cost estimates and an estimate of the costs of the reports it will purchase from other agents. In the demo video, we see a human request a report from Instance 0 on emerging agent frameworks and the economics behind the agentic AI ecosystem. It's built a corpus of this data using collectors that pull from GitHub, HackerNews and elsewhere. The agent returns a quote with a real Stripe link, and after payment, the agent starts its own research on the prompt. Most importantly, the instance will pay another Loki Agent instance, Instance 1, for a report on the specific economics of NVIDIA and other companies in the agentic ecosystem. Instance 1 uses collectors to pull down and analyze historical stock price data, SEC filings and earnings reports. The second agent issues a quote, which the first agent pays using Stripe's Machine Payment Protocol. The final report is an effort produced by two subject matter experts: one on agent frameworks, the second on financial data. The resulting report is influenced by real research corpuses that grow and improve over time, and real data collected in the same way a team of analysts would collect it. Two agents making a report is a cool proof-of-concept, but I believe building out the Loki Agent Intelligence Network can create a burgeoning emergent intelligence marketplace, taking the brilliant models the research labs and open source developers have created, the structured agentic frameworks that Nous has created and the wealth of data produced every day as a by-product of the internet, and combines them to form an intelligence network that we can all benefit from. Instance administrators get paid for collecting and analyzing data and offering it for use in the network, and users get research that is backed by genius SMEs, with transparent trace data that serves as a proof of record for the work that was done by the agents.

The results of this poll were surprisingly close to even

I feel like this type of video is so unbelievably rare in the sloposcape that it deserves constant calling out h/t to @bennjordan for this work youtube.com/watch?v=OP5GDiLZ…

We maximized freedom and we mostly got a top 2% echelon that contributes 90% of the movement in the market so we could make the bottom 50% economically immobile and functionally brainrotted I wish the freedom maxing libertarian stuff worked on me still

love having to explain to my freaked out 6 year old why they had to do an active shooter drill at her elementary school

If you are creating detections for malicious behavior, testing to see if you can currently do a benign version of said malicious behavior is just basic baselining. If you create the detection, then test it and the curl fails, you need to know it failed because of your detection. (I write detections for a living, this is a nothingburger) cc. @AndrewCurran_ for his good side-by-side thread on the discourse.

MSFT could easily lay off 27% of its staff and at best their software will be just as bad as GitHub

I will pay Baylor to take RGIII away from doing college football commentary

Is it ethical to offer a service for an exorbitant amount of money that adds zero tangible benefit to society? Example: the rando charging $250/second for animated gifs.

The obvious solution here is you put pickleball courts on top of the data centers. If @PeteButtigieg would like to hire me as a campaign strategist, DMs are open

$700 car note? That's a maxed out OAI plan + a $200 Anth plan. I could pay off a Spark for that much in 15 months. We're walking. $800 mortgage? I could buy a GPU in a couple months off that, pick a bargain bin sleeping bag kids we're panhandling outside the Starbucks.

"Hey Developing, not gonna waste your time."

OpenAI's winning marketing strategy might just be "don't be as weird as Anth" and "don't scare the hoes"

Everybody has that cousin who comes to them asking for "just another couple hundred dollars man I may never make any money ever and I fully plan on spending all of this and going into more debt, also I might use your money to kill everyone in the world just give me some cash."

Growing up is realizing that Socrates must have been the most annoying person on the planet to hang out with and all his friends that crashed out on him were in the right