BREAKING: Tesla's Roadster flips off a ramp and hovers back to the ground. "Flying cars are real."

once ASI is here and living somewhere because of "work" becomes pointless, people with money will just move to the nicest places on earth Mediterranean climate, ocean, mountains, good food, beautiful isolated towns places like this are going to become insanely valuable probably worth buying real estate there now

From concept to reality. @SpaceX has successfully deployed Starlink V3 satellites into Earth’s orbit and made contact with them for the first time. At scale, one Starship carries 60 V3 satellites, the same network capacity as about 20 Falcon 9 launches.

I think every time AI can do something equally good or better than humans it stops being valuable or special Marketing videos used to take lots of work of editing and motion graphics and a big budget Now with Opus 5.5 etc it costs $0 to make one as good or better That means ANYONE can make a marketing video now, so the timeline gets flooded with these videos (as you see happening now) and people stop caring about them, stop watching them and they stop grabbing attention The response then to still grab attention is be different and that probably means IRL marketing videos that are original and unique and maybe personal It's the grim reaper meme where AI keeps commoditizing another media format and bringing the cost down to close to $0 It already did so for graphic design (2023), last year with Nano Banana for photography (2025), this year with Seedance 2.5 it did it for video (2026) and this and next year motion graphics

holy shit i asked claude to make a video on western civiization

⏰ 24 hours until registration closes for our hack this friday come build with @OpenAI @bfl_ai @liquidai @nimble_search @tinybird and more 🏆 $6,000 in credits, cash, and gift cards judges including @yanivm13 @pedroslopez @vivmarquez @bnevilleoneill almost a day left, catchup now!

gpt-6 sol came out today, so had it make a little game: u either do push ups or go extinct 🦖☄️ check it out: dinopush.fun s/o @dandemello for the vid🥲

I just realized Opus 5.5 can use Blender to make claymations with just a single prompt in claude dot ai now

Astra for Law: Frontier intelligence built for your practice. A new offering powered by GPT-6 Astra with tools, settings, and context to support the expertise and judgment of lawyers and legal technology firms.

After co-inventing ChatGPT, I kept asking myself: why have superhuman chat models not led to AGI? I’ve spent the last 2 years in stealth building a new way to train models (RLCD), and a new type of frontier AI model that we are releasing today: Jev • 20-200x faster • 40-400x cheaper (w/ output tokens free) • Frontier composable intelligence optimized for decisions AFAICT the shortest path to AI-based economic revolution

If you read this and don’t understand why it’s happening it’s an opportunity to reset your understanding of how the real world works. The real world will need a ton of help actually getting agents going in the enterprise. Companies have legacy tech stacks they need to modernize, data in tons of fragmented tools, knowledge that isn’t captured or digitized, and change management needed to actually utilize agents effectively. And they have to do all this while still running their business day-to-day, unlike startups. This is why there is so much opportunity for companies (software or services) to actually deploy agents in specific domains and workflows. This remains a big opportunity for both existing services providers but also tons of new startups as well. Every new technology wave produces a new era of consulting firms that can deliver on that technology. It’s also why the FDE model is going to be alive and well for a long time because companies will want to have their vendor actually help drive the change management and implementation for their new workflows. The people aren’t going away. Far from it.

I studied how @trq212 @bcherny and a handful of others build with Claude Code. Took the best parts of each approach and combined them into one system. Then I wrote the instructions that 10x'ed my output. Copy the full contents of the markdown file below and paste it into the instructions field of a Claude Project. Then say "build me a skill for X" and it runs the full process: - Interviews you on what the skill should do - Classifies the skill type - Drafts the full SKILL.md - Self-reviews against quality criteria - Generates test cases - Iterates on failures - Optimizes the trigger description - Delivers a production-ready skill file I found that for me, the biggest unlock was a reusable system that I can use to build more skills. And this has made me 10x better at Claude. I guess you can call it a skill that builds skills? The .md file is below.

somehow skills are still underrated

i can't believe nobody caught this. Anthropic's entire growth marketing team was just ONE PERSON (for 10 months, confirmed) a single non-technical person ran paid search, paid social, app stores, email marketing, and SEO for the $380B company behind claude here's exactly how one human is doing the job of a full marketing team: it starts with a CSV. 1. he exports all his existing ads from his ad platforms along with their performance metrics (click-through rates, conversions, spend, etc) 2. feeds the whole file into claude code 3. and tells it to find what's underperforming. claude analyzes the data, flags the weak ads, and generates new copy variations on the spot this is where he gets clever: he then splits the work into 2 specialized sub-agents: 1. one that only writes headlines (capped at 30 characters) 2. and one that only writes descriptions (capped at 90 characters). each agent is tuned to its specific constraint so the quality is way higher than cramming both into a single prompt so now he's got hundreds of fresh headlines and descriptions. but that's just the text. he still needs the actual visual ad creative, the images and banners that go on facebook, google, etc. so he built a figma plugin that: 1. takes all those new headlines and descriptions 2. finds the ad templates in his figma files 3. and automatically swaps the copy into each one. up to 100 ready-to-publish ad variations generated at half a second per batch. what used to take hours of duplicating frames and copy-pasting text by hand so now the ads are live. the next question is which ones are actually working. for that he built an MCP server (basically a custom integration that lets claude talk directly to external tools) connected to the meta ads API. so he can ask claude things like: • "which ads had the best conversion rate this week" • or "where am i wasting spend" and get real answers from live campaign data without ever opening the meta ads dashboard and the part that ties it all together and closes the loop: he set up a memory system that logs every hypothesis and experiment result across ad iterations. so when he goes back to step one and generates the next batch of variations... claude automatically pulls in what worked and what didn't from all previous rounds. the system literally gets smarter every cycle. that kind of systematic experimentation across hundreds of ads would normally need a dedicated analytics person just to track the numbers from the doc: ad creation went from 2 hours to 15 minutes. 10x more creative output. and he's now testing more variations across more channels than most full marketing teams a $380 billion company. and their entire growth marketing operation (not GTM) = just one person and claude code lol truly unbelievable