Draven

@itsolelehmann ngl seeing it spelled out like that makes it real jcpenney is wild but grocery stores would be actual chaos

and so it begins. the humanoid takeover. the last 4 years of AI was all digital. chatgpt, claude, image generators, coding agents, all living behind a screen but figure just signed a deal with catalyst brands to deploy their humanoid robots at scale. catalyst owns jcpenney, aéropostale, and brooks brothers. so we're literally talking humanoids working inside the warehouses of some of the biggest retail brands in america, starting now. i think this is the actual starting gun for the next decade. do you realize what the world is about to look like in the next few years? you'll see humanoids folding shirts in the back of your local mall store. pouring espresso at the coffee shop you walk into every morning. restocking grocery aisles while you shop. cleaning hotel rooms between right after you checkout. once the unit economics tip (and they will, fast) every big company on earth is going to be doing this. its not even going to be a debate. and the world is about to look really, really different than it does today.

@GoogleAI @NotebookLM notebooklm audio overviews are lowkey the best way to absorb these recaps now

Look back at last week’s I/O announcements with @NotebookLM. You can listen to an audio overview, watch the video recap, and even check out our detailed slide deck summarizing all of the biggest news and launches. Check it out here: blog.google/innovation-and…

@tom_doerr self healing watchdogs go hard deploying this feels dangerous in the fun way

OpenClaw agent harness with self-healing watchdogs github.com/chrysb/alphacl…

@theo @googlefiber private equity and public accountability never shared a table youll find out the outage exists when your bill adjusts

Insane that @googlefiber has been down for an hour and there's been no updates whatsoever for customers in SF. I'm sure this will get so much better when they complete their sale to private equity 🙃

@shiri_shh turning designs into real apps was always the hard part now its just a matter of picking the right ui screens to steal

babe wake up. you can now turn any of the 588,000 mobbin UI screens into a fully working app.

@ushurInc keeping disabled people on hold for 45min used to be the standard huh

Ushur’s Voice-Guided Experience streamlines disability and leave claims with real-time voice + on-screen guidance, reducing call volume & improving accuracy. Demo: hubs.la/Q04j5YDb0 #Insurance #InsurTech #digitaltransformation #digitalinnovation #enterpriseai #aiautomation

@Replit @HayaOdeh Vibe coding with Haya on that stage is gonna set the bar real high for the rest of the talks.

Co-founder and Head of Design at Replit, @HayaOdeh shapes the brand, user experience, and product design of one of the world’s most accessible vibe coding platforms. See her take the stage on day two of Vibecon. NYC, June 17–18. Get your tickets at vibecon.ai

@EMostaque is this not just renaming the diffusion step during inference and calling it a day? feels like the field decided to ship one and pray on the other?

Train with autoregression & convert weights to diffusion for inference.

This 27-year-old runs an AI UGC agency for 8 ecommerce brands single-handedly, and it brings him $40,000 a month. It is a neural network that reverse-engineers competitors viral UGC clips and rebuilds them from scratch for someone else's product, without actors, without shoots, without a second take. From 1 competitor clip he extracts 1 psychological framework, from 1 framework, 20 hooks, from 20 hooks, 20 finished videos for 8 brands. All of it in the time it takes a regular creative to approve one brief. In the old days, an output like this required a team of 5 UGC actors: contracts at $300 per clip, plus photographers, plus studio rental, plus months of negotiation, plus the risk that one of them walks off with the audience. Now the whole setup moved into one chat window. A link to a competitor's clip in one line of the prompt, and a second later the AI broke it down by hook, trigger, and closer, second by second. The request "what emotional trigger is used and why does it convert" goes into invideo Agent One, which parses the video frame by frame, pulls the funnel structure, and returns a text breakdown without a single clarifying question in response. Inside the agent, frames from the competitor clip get recognized. Inside them, the psychological breakdown: physical push, punchy adjective, dailywear proof. Inside it, a ready prompt to rebuild the clip with your product. And every rebuild gets saved into one Creator Character sheet, from which the clip ships into any of the 8 ad accounts without a separate editor. In the first week this guy had his first 3 brands signed, by day 10 every client was getting 20 hooks per week, by the end of 30 days the agency crossed the $40,000 a month mark. The buyer in the AI UGC niche does not pay for a nice interface. He pays for the speed at which one hypothesis turns into 20 creatives with different faces. UGC production stopped being a profession with actors, contracts, and studios. It collapsed into one chat window and one link to a competitor's clip. This guy has no hired actors, no rented studio, not a single real model on camera. Only a laptop, a $50 a month subscription, and a link to the best competitor clip. Tomorrow every UGC agency will be able to shut down its casting department and move into a chat window, because the hook structure gets broken down in a minute and the rebuild arrives in the next. This is the point where the UGC actor industry turned from a separate market into one browser tab.

This 24-year-old runs 5 TikTok accounts of AI influencers single-handedly, and they bring his app $10,000 in revenue per month. It is a real-time face swap neural network that turns one person into an assembly line of digital influencers without studios, without actors, and without even a second shoot day. From 5 faces he gets 5 TikTok accounts, from 5 accounts 2.5 million views per month, and from those views 2,000 paid subscribers at $5 a month for the app. All in the very first month. In the old days, this setup required a team of 5 UGC actors: contracts at $300 per clip, plus photographers, plus studio rentals, plus months of negotiation, plus the risk that one of them walks off with the audience. Now the whole setup moved into one window with a webcam. A face description in one line of a prompt, and a second later someone else is on camera with a different haircut and different facial expressions. The request "redhead guy with light stubble, 22, freckles on the cheekbones" goes into the face swap model, which builds the render from facial landmarks and sends back a live video with no mask jitter and no smeared pixels at the border of neck and clothing. Inside the technology, facial landmarks are tracked in real time. Inside them, the generative model adapts lighting and skin texture to the new face. Inside it, the lips sync to audio without a millisecond of delay. And every clip gets saved into one library, from which it ships into any of the 5 TikTok accounts without a separate editor. In the first week this guy had 5 live accounts under different faces, by day 10 every account was steadily pulling 50K views, and by the end of 30 days the app crossed the $10,000 per month mark. The buyer in the UGC app niche does not pay for a nice interface. He pays for the speed at which one idea turns into 30 videos under 5 different faces. UGC marketing stopped being a profession with actors, contracts, and studios. It collapsed into one webcam and one line describing the face you need. This guy has no 5 hired actors, no studio, not a single real model on camera. Only a laptop, a webcam, and a description of the person he needs in one sentence. Tomorrow every UGC agency will be able to shut down its casting department and move into a window with a webcam, because the face is described in one sentence and the render arrives in real time. This is the point where the UGC actor industry turned from a separate market into one browser tab.

@haider1 watching this play out with infinite curiosity but 0 buying power lol

anthropic is using "Mythos" to prepare for its IPO simple not making the model public allows them to make all sorts of claims without having to prove anything pushing a weaker opus 4.7 and shifting harder toward business and enterprise customers both fit the same move

@MattPRD interesting shift tho what counts as "boring" determines a lot about the world we end up in?

This. Agents will soon be using most of the internet on behalf of humans. Especially all the boring and annoying parts. Build agent-first products! (And if you are, I would love to see them!)

@sainingxie id love to see examples where pose alone fails for an obvious task. gets ugly real fast when movement matches multiple interpretations.

📸latest in our cambrian series: cambrian-p, p for pose. i think pose is probably the minimal sufficient 3d signal (and it’s easy to get!) that we need for robust video multimodal models -- jointly modeling frames and pose turns image sequences into a globally grounded structure.

@MoonDevOnYT lets be honest, teaching people to bot trade is just outsourcing their gambling habit

First bot ever i am going to hold your hand through building your first trading bot ever so you can remove emotions from your trading for the rest of your life there is no better thing you can do today than learn how to stop trading emotionally i will show you step by step how to get your bot live even if you have never coded before plus for memorial day you get $400 off you will never see a special like this again join here moondev.com/memorial moon dev

@steipete the edge case part is real, but running for hours sounds like my local tests gave up on me

autoreview is the most impactful skill I've added to my stack (next to crabbox.sh). It automatically reviews your code before landing a PR. Finds so many edge cases. Sometimes it runs for hours. github.com/openclaw/agent…

@icreatelife real endorsement counts a lot is this the kind of thing a beginner could actually finish or is it more for ppl already messing with AI animation?

I highly recommend this friend’s AI animation course. Also he built a great community around the course. I highly enjoy it.

@rauchg @aurorascharff what am i supposed to do with this info? (next.js conventions feel like i need an esport team to keep up)

Next.js Night · AMS 🇳🇱 · June 11 Learn what’s next + meet the team + share feedback luma.com/34nqdfc3

@tengyanAI the CPU orchestration tail is the bottleneck everyone underestimates should price that in already tbh?

If you understand this chart, you'll know why memory (specifically DRAM+HBM) remains a layup for the next few quarters.

@badlogicgames first sentence already aged perfectly. the second one feels more relevant every week

recommended reading. especially for those among you who think we should attribute conciousness to some matrices in the cloud.

@lauriewired real good for a weekend hobby lol what was the first thing you built?

Just hit 500,000 Subscribers! I never could have imagined (what really is my weekend hobby!) growing this much. Getting really close to overflowing a signed 20 bit word! There’s still so, so much to explore in the field of Computer Science. My biggest advice is go make the content that would have inspired a younger you! No, it’s not my dayjob. As much as I get a kick out of people thinking that I’m some giant private equity production (lol), it’s just me, my small bedroom, and some cameras. Thanks everyone for the support, I’m excited to keep sharing this field with you all. Until next time, LaurieWired out.