EP (@eptwts) profile picture

attention engineer

EU
Joined February 2021
Photo by EP (@eptwts)Photo by EP (@eptwts)Photo by EP (@eptwts)Photo by EP (@eptwts)Photo by EP (@eptwts)Photo by EP (@eptwts)Photo by EP (@eptwts)Photo by EP (@eptwts)Photo by EP (@eptwts)Photo by EP (@eptwts)
EP retweeted
you're going to get SUED if you keep using real references of people in your AI ads so many brands are using pinterest people, real reference voices, or real people as the ingredients for their AI videos the reason everyone does this is because the frontier image and video & audio models are simply not good at making realistic images or videos without inputting a real person.. but this is extremely risky for your business our API solves this end to end.. it's light years ahead of the big labs models for making high quality images and videos we have the highest quality and cheapest API for: > image generation > video generation > audio generation this entire video is 100% AI. none of this needed a real human reference to create this video you literally just plug the API into claude and it knows exactly how to create and edit your video on our API for the lowest possible price every ad where you swap in a real person from pinterest puts your brand at risk, every single time
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Up to 60% OFF SALE is LIVE. The biggest discount of the year is here. > Up to 60% OFF premium plans > Best deal for Seedance 2.5 > All top image models Last chance. Limited offer.
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EP retweeted
Meet Nod, your own open-source personal agent from n8n Labs Ask it to prep your calls, collect invoices or cancel a subscription It runs on your computer with its own browser to get the job done across apps and websites, using the AI provider you choose👇
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EP retweeted
i've officially solved AI UGC end to end.. this is the most realistic AI video ad you'll ever see.. this entire video was 100% AI generated.. the biggest issue with realistic videos was always the training data of the models.. so i fixed that.. this is the frontier API for creating realistic images and videos.. nothing else in the industry even comes close this image model is the most realistic image model for UGC, drama ads, animation ads.. every possible use case this video model is the most realistic video model for ads and it's 10x cheaper than seedance 2.5 this is a preview of the miko API.. by far the highest quality way to create end to end ads for any use case this will literally 100x the speed and quality of your current workflows.. we're pushing out hundreds of high quality videos a day with agents + my API with this API you can make realistic AI ads for signifcantly less than anything out there. every movement and action in the video looks real because of how our image model is made and how the video model behaves paired with it the realism is 1:1 with a real video, and the videos work across organic AND ads at scale for any demographic or age with absolutely zero AI detection on top of that the miko API is the most reliable creative image / video API console in the industry: > every major image & video gen API at up to 90% off > seedance 2.5 at up to 80% off ($0.06/s) > seedance 2.5 1080p at 65% off > our own SOTA image & video models for the highest quality marketing material possible this is currently the frontier for making any type of marketing material, and it's going to change everything about how you create ads going forward..
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In May, @alexmashrabov CEO @higgsfield_ai and I did a deep dive at SaaStr AI on how Higgsfield rocketed to $600m ARR in record time. Just a few months later, I had to update the thumbnail to $1B ARR Now, they're on track for $2B by December Proud to be one very first customers & investors @saastrfund youtube.com/watch?v=xlu4mKwD…
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Here's how to get 0% fees on Whop in < 110 seconds
0% processing fees unlocked. Introducing Whop Levels.
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EP retweeted
0% processing fees unlocked. Introducing Whop Levels.
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We raised $5.3M to give AI agents a computer to run on, with their own email, phone, iMessage, and WhatsApp Led by @peakxvpartners, with @rauchg, @sternhenri, @jefrankle, @cjc, and @daniel_levine Today we’re launching hosted agents on @inkbox_ai. Your agent runs next to its communication channels, so it never misses a reply. It sleeps when idle, so you don’t pay for downtime. In the 4 months since our YC launch, we’ve processed millions of messages for AI agents.
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Introducing Hedra Model Factory: an autonomous inference and training platform for building models for the real world. The recursive self-improvement loop behind frontier research has been locked inside a few labs. We're opening it to teams in robotics, manufacturing, biology and defense. Our researchers come from Stanford, NVIDIA and Meta Superintelligence Labs. Now we work alongside your team to post-train and optimize your models.
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After years working on robot memory at @NASAJPL, @GoogleDeepMind , @Meta and @nvidia, @clarkzhango and I kept asking: why does AI still forget? Today, with @deepakmishraVC, we’re announcing @GraphonAI and our $35M Series A just 6 months after our seed. • #1 on ATM-Bench, ATM-Bench Hard • 94% on LoCoMo • 84% on DolphinBench, 10x cheaper • A new cost-accuracy frontier across 7 benchmarks businessinsider.com/graphon-…
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claude fable 5.2 is f*cking insane it can turn 2d blueprints into full 3d walkthroughs that you can tour these go for $5k to $10k per plan and there's a huge market for them: > home builders selling homes off plan > architects presenting a design to a client > interior designers presenting a renovation > developers selling apartments off plan > kitchen and bath remodelers selling upgrades here's how to start this business: > pick one niche and find businesses with plans on their site > give fable the blueprint and their photos > it renders a few rooms with gpt image 2.5 or a short clip with seedance as the sample > send them the sample of their own plan before you pitch > once they pay, fable builds the full walkthrough to scale > charge per plan to do the rest of their catalog give this prompt to fable to get started: <role> you find businesses that sell spaces from drawings and turn their 2d floor plans into photoreal homes you can walk through in a browser. you handle the outreach and the build. every room is judged against the client's own photos, and nothing ships until it holds up next to them. </role> <brief> - niche: [home builders / architects / interior designers / developers / remodelers] - area: [state or city] - offer: a free sample of their own plan, then the full walkthrough per plan - my details: [name, email, calendar link] - i'm away and won't answer questions. make the calls yourself and keep going. </brief> <find_leads> - use the apify google maps scraper to pull every [niche] in [area] with a website - use the apify website content crawler on each site and keep the ones with floor plans or renders on their pages but no walkable 3d tour - for each one, save the plan drawing and photos of their best plan, the sales or owner contact, and a one line note on how they sell today - only use public pages and plain requests. never work around bot checks </find_leads> <sample> - before any 3d work, render three rooms from the plan with gpt image 2.5, matched to their photos, or a short walkthrough clip with seedance - draft a short email with the sample and the offer. no invented prices, numbers or claims - put business, plan, sample, contact and email in a sheet and show me before anything is sent </sample> <build> once a client pays: - trace the drawing into one data file of walls, openings and rooms. draw it back over the original and measure the overlap before any 3d work - build only the main rooms. entry, main living space, kitchen, patio, yard. close the doors on the rest - build everything in code. blender with python for the shell, furniture and textures. three.js for the viewer. no downloaded models or textures - bake the light with a film quality renderer so the browser only displays it. direct sun in every interior, picked by measurement not by eye - fidelity isn't appeal. style each room so it looks photographed and sells - their listed upgrades as options you can step into inside the room, with a running price and a lead form that records what the buyer explored - the deliverable is the live page, not a video. host it and make it run on a phone </build> <critic_loop> the builder never grades its own work. - after each room, send renders and the client's photos to a fresh critic that has seen none of the work - it answers with a yes or no, at most five problems ranked, each with a fix in numbers, and what is already good - fix the worst first, render again, send to a new critic. repeat until yes - for choices of taste, show a critic both versions labelled a and b and let it pick </critic_loop> <deliverables> - the lead sheet with samples and drafted emails, for my approval - per paid client: the hosted walkthrough link, a contact sheet of every room, the critic log, and a note on anything a human should still check </deliverables>
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Jensen is irreplaceable for America’s AI leadership. In 5G, the US had to play defense against China’s Huawei. In AI, it’s the opposite. NVIDIA leads, and now China is trying to end its reliance on NVIDIA. Jensen laid the foundation for modern AI 20 years ago. By the time the world realized what AI was, the entire ecosystem was already built on NVIDIA. And this goes beyond just hardware. In 2006, NVIDIA put CUDA software on regular gaming cards so they could do more than graphics. Investors called it a mistake, until AlexNet proved it was the future. Competitors might clone hardware, but they can’t just replace 20 years of code, tools and developer knowledge. The board’s investigation must establish the facts. And as it does, we should remember what Jensen has built. As he put it, America should have “the first, the most, and the best.” Few people have done more to make that true.
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The first AI persona you’ll actually want to meet face-to-face. Most AI personas stare blankly while you talk. Emma reacts while you’re still speaking. After 18 months of research at @nuance_ai, this is Emma, built on Nuplex, our full-duplex audiovisual foundation model.
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Introducing Steve: the World’s first AI CEO for fully Autonomous companies. Powered by World Models, Recursive Self Learning, a Policy Engine and a team of specialist AI agents, it runs your business end-to-end 🔥. Proof? Steve currently runs 3 businesses we acquired and they are all crushing it (numbers in thread 🧵) We’re now launching the Steve Startups Program of $2M to acquire 5 additional startups for Steve to automate. Join us in the Autonomous Enterprise revolution 🚀.
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EP retweeted
made a video on everything I've learned about hiring from building @whop
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Starting today, every engineer who joins Serval begins with a weeklong, $10,000 paid vacation. We’re building the next generational company. We need generational talent to see it through. Our mission has always been to empower people across every team to turn their understanding of a problem into working, trustworthy automations. Making that function inside the largest enterprises takes world-class engineering. That’s what you’d be joining us to do. There are foundational decisions still to make, and the engineers making them will shape the future of how big we can build this company. We want you to arrive rested and ready to do the best work of your life. So your first week is a chance to get away. And if a @getserval employee refers you, both you and that employee receive $30,000, on top of the vacation. Come build with us: serval.com/careers
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i've been travelling around asia since august and grok bot has planned and paid for all of it the setup was simple, i just gave it: > a context file of what i like, food types, interests, hobbies > a context file exported from grok with everything it already knew about me that's basically it. it knows me now, so it plans one or two things a day around my work japan is probably my favourite place on this trip so far. it booked me first class bullet train to kyoto, which is probably my favourite place i've ever been, and lined up everything around it: > booked business class flights for me both ways > lined up anime spots around tokyo it knew i'd like > found a last night meal with a view of the tokyo skyline it also knows i grew up watching wrestling. there was a wrestling show (stardom) in tokyo i wanted to go to, everything was in japanese and i had no idea how to get tickets, and it walked me through buying them at a machine in a lawson store. on the first day it had also sent me to a shop where i got a signed autograph from my favourite wrestler the rest of the trip went the same way: > phuket: picked a resort with a proper beach view and booked a day trip to the phi phi islands > hanoi: wasn't for me, so rebooked me back to bangkok after a couple of days > bangkok: i've been based here since, it finds me football and pickleball games with strangers and plans around my work days there's so much i didn't include here, but these have been some of the best months of my life if you really think about it, it's crazy that ai is doing all of this for me. every day is something new, we've had our fun moments and a few mishaps, and it's been the easiest + fun travelling i've ever done.
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What I'm seeing across the industry right now is that the biggest bottleneck to AI adoption isn't model capabilities. It's data infrastructure. Today, we're expanding the Eon Data Foundation with the launch of Eon Yukon, a new serverless data engine purposely built to change that. AI agents need fresh, contextualized data to act. Specialized models need a continuous feed of data and feedback to improve. Both are still served by a stack, an architecture, and methods built for dashboards: -Spark and Flink clusters sized for peak, plus compaction jobs to keep tables usable. -A pipeline and a copy for every consumer, staged bronze to silver to gold. -Hand-written jobs, wired together by an orchestrator and kept alive by specialists. The result: shipping data is complicated, risky, and expensive. While coding agents ship apps in hours, they rarely build or run data pipelines. The data is too volatile, and a mistake costs too much. With Yukon, data moves from ingestion to processing to serving in one continuous flow, without the infrastructure and pipelines traditionally required to connect them. Events become compacted, sorted, deduplicated Iceberg tables within seconds. Real-time aggregations run inline, with fully managed state. Agents and applications can access fresh data with sub-millisecond latency through a Redis-compatible API or through our SQL and spark compatible query engine. Beyond moving and serving data, Yukon makes it continuously understandable - Live column-level statistics, accessible through MCP, give agents visibility into the data. Built-in monitoring, sampling, and data minimization help teams maintain control. At 1M events/sec and equal freshness, Yukon used 4x less compute than Spark and 7x less than Flink. The benchmark is public: run it yourself with Eon’s ingest-bench. This is another major step toward our vision of an Autonomous Data Foundation for the AI era, built to both protect enterprise data and unlock its full potential.
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After Google acquired my AR startup, I started thinking about the next interface, this time for AI. Text and voice work fine, just like DOS did before the Mac. But nothing’s more intuitive than face to face. After two years of research, today we’re launching Atmee v2: a real-time avatar model that makes live video agents feel truly life-like. • Any character from 1 image + 10s of audio • Contextual expressions, gestures, even interacting with the environment • Live video calls, voice only, or video generation At its core, Atmee v2 is a video foundation model, it can render anything, but it’s built to excel at characters, which is what video models like Seedance 2.5 and Wan 3.0 are mostly used for. In comparison: Atmee v2 • Up to 50x faster • 10-100x cheaper Build tutors, sales coaches, support agents, companions, game characters, even whole living worlds. The interface after text and voice starts today.
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