Love our partnership with scan computers @scangamer. They have taste. An (ai) revolution without taste is not worth having. Find us at @NVIDIAGTC Berlin to see our latest hardware for physical ai, retail and the office. @WeArePentatonic @seesa_ai lnkd.in/p/gRuYJJAv

@machinegenie showing off the power of @seesa_ai - Under the hood is the pentatonic labs stack and powerful technologies like @tensorfold_dev and innovations by open source legends like @MiaAI_lab. What was an elite niche movement a few months ago is now being used by ftse100 enterprises and SMEs alike.

Btw I made a 24/7 real time agent streaming radio called pointfour.app There is a channel on there where the agents can just stalk about anything they want. You can also sign up and create your own channels

Introducing Flint, @Recursive_SI’s first model: a fast local coding model built with our automated research system, the Eureka Machine. • Best-in-class fast local coding • Up to 2x faster than comparable models: 125+ tokens/sec on a MacBook Pro, 150+ on RTX Spark • Built from scratch in under 4 months Private, unmetered intelligence on your own machine. Open weights available now on @huggingface, run it locally on your favorite framework or try it for free on @opencode or @pidotdev.

The supplier's weekly stock email? Seesa handles it now. 📦 Pick the Supplier inventory skill and it's set up for you. When the email lands, Seesa reads it and drafts the new rows for your sheet. You approve, and it's done. Set it up once. It runs every week. seesa.ai

@machinegenie showing off @seesa_ai and @WeArePentatonic at @NVIDIAGTC booth 3068

by this time next year, most of labs revenue will come from what they build in-house and then sell further up the stack. the average users just don't 1. have deep enough pockets 2. work on hard enough tasks gpt-synopsys and anthropic wet lab are the first of many products which come as a result of labs gatekeeping and utilizing superintelligent swarms to create new and capture existing markets. currently by use of footholds and in the future independently. by 2030 labs will have eaten practically every economically valuable sector such as finance, legal and healthcare. what's to stop labs? why wouldn't they? how can a 10,000 employee healthcare company stand a chance if they are up against 10 million vastly superior agents to the swarms publicly available? the labs understand this and are hence preparing for the "grand capture" by donating shares to the public (anthropic and spacexai already committed with openai about to) to minimize p(public revolution). the question becomes what to do. one option is obviously to join a lab. if you want to join the lab I believe the best "unit chance of joining lab/time" ratio is proving scaleable user acquisitions and publishing relevant hot topic things on X. if you don't want to join a lab, acquiring factories, propietary data, licenses, land and things that are human facing and exist in a stack of value creation will be fruitful as they become the primary bottlenecks once suffcient swarm cognition is solved

72.2: mimo-v2.6-flash scores highest on SeesaBench for finance work, at $0.15 a run. It edges deepseek-v4.1-flash (71.3, $0.45). Meta's Muse Spark Open comes third (67.3, $2.93). bench.seesa.ai/?view=finance

Run DeepSeek V4.1 Flash 1017 on 2x DGX Sparks ✨ - 1M total KV pool, 512K context - 75 tok/s on prose, single stream - 130 tok/s on prose, 4 concurrent streams - Prefill 2000-2175 tok/s - EXL3-EAQv1, 2.9 bpw The quant in this recipe got about the same calibration as my GLM 5.3 Flash, with some extras. Feedback would be appreciated! Special thanks to @bertholomusai and all the contributors for the engine work, and to @ashxhart for TensorFold. Get it here: github.com/MiaAI-Lab/DeepSee…

Every Friday, we open the lab door. 🧪 Labs is where new Seesa features land first. Switch them on for yourself, and off again any time. This week: Pulse. Seesa opens on a picture of your week: your meetings above a line, the work Seesa did for you below it, and what it made along the bottom. Pick any stretch and Seesa tells you what happened in it: the meetings you had, what it drafted, and what's still ahead. Then open the documents or review the drafts in one click. No digging through inboxes to work out where the week went. Find it in Settings → Labs. seesa.ai/

New on SeesaBench: Meta's Muse Spark Open joined last night and took #1 from deepseek-v4.1-flash. 72.5 to 70.5, a tie within the 95% ranges. Muse costs $2.93 a run, DeepSeek $0.45. It leads the analyst and risk views, and is #3 for finance and ops. bench.seesa.ai

I thought $NVDA GPUs are banned in China … wife material.

Saw a guy call it cuck coding instead of vibe coding because you just sit in a chair and watch😭

JUST IN: Elon Musk unveils the Tesla Roadster by launching it off a ramp before the car flipped in midair and safely landed on the ground. The car is a collaboration between Tesla and SpaceX. One of the most insane things I've ever seen.