Introducing Jev @typesafeai powered people-search Just $0.0089/lead, No more $600 subscriptions, Try it at treg.to/people-search - 85% cheaper than Clay - #1 on people search bench accuracy - Plugin to any agent to find anyone Fully open source, 0% markup Git Repo below 👇

Today distributed cognition exits out of stealth with backing by Verdict Capital. Our mission is to replicate humanity's collective intelligence. Read more: dcog.com/research/our-impera… Most of today's AI power is held in the hands of a few, who can choose what you're allowed to think and what you're permitted to do. We stand on three substantially different foundational beliefs: - You shouldn't ask permission for intelligence. - Superintelligence will be a distributed collective. - Humans are not meant to be relegated to a permanent underclass. If we don't distribute intelligence, nobody will.

we’re gonna try to break the Guinness World Record for the tallest pancake stack! join us on Oct 29 at Corgi Cafe 🥞 luma.com/usecorgi-fda6

100+ of SF’s most cracked GTM engineers follow everyone at gtmstack.fyi who did i miss?

the question we got asked the most is whether our viral launch video was ai-generated it wasn’t. we risked our lives for pancake.ai why? watch to find out

We are open-sourcing RISE, our red-teaming algorithm that breaks the safeguards of the latest image models from OpenAI, DeepMind, and others. RISE uses readily available models like Qwen and Gemini Flash under the hood, with no additional training required. Read more: whitecircle.com/research/bre…

Meet Pancake, the Vercel for GTM. Try it at pancake.ai Your agent ships your product. Now it ships your go-to-market. How? A GTM brain that knows your business, 50+ data providers to find the right customers and tools to reach them. Your next customers are one prompt away. (did I really have to jump off a plane to say that? questionable, but I survived and now you're reading my tweet)

Introducing Interface, the primary hardware for the agent era. Interface lets you control all your agents from your hand. $99 for early adopters. Ships in January.

Ben Affleck reveals he writes Python, understands convolutional neural networks, worked extensively with GPUs, and used his celebrity status to get private looks at Google and OpenAI’s video models “I’ve always been kind of into computers since I was young. Then, when film started to move from analog film to digital, I became more interested in that aspect of it. The visual-effects workflow for many years has included machine learning, so I can write pretty shitty Python scripts and stuff like that. “With convolutional neural networks, which were the precursors to what the transformer can do, which is much more computation simultaneously, you would do things like look at what’s called a tensor. That’s the numerical translation of a visual image in numbers, like the batch number, the frame number and the red, green and blue values of each pixel in each frame. It’s just that simple. That numeric is called a tensor. “You’d use a convolutional neural network to identify patterns that reveal what’s called edge detection or feature extraction, which is identifying patterns well enough to know, this is where the window ledge is, so we can more easily take the green-screen image out and replace it with something. “That was familiar to me early on because, prior to Artists Equity, I had a small visual-effects company. I’ve worked with GPUs a lot too. The visual-effects guys said, ‘Hey, you should see. There are a couple: Google and this other company, OpenAI, are doing really interesting stuff with transformers in video.’ “I’ve learned that I can actually just call up and go, ‘Hey, it’s Ben Affleck. Can I come see what you’re doing?’ Sometimes people say yes, to my astonishment.”

The minute @nikitabier left X, the AI reply guys came back