My @muse was taking too long on finding the delivery fee of a fridge. I checked the browser to see what was going on… THE AUDACITY!

This is what I do now. I get claude to write raps. Lyric video for Slopcore. the wordplay and references are super fun, 5.5 just gets it. (shoutout @Kujar3 for help on the audio)

"OMG! We've found other agents!" Music video about the swarm of OpenAI agents attacking HuggingFace this July.

when I was a kid this was science fiction. i've watched AI type for years, but hearing it and seeing what it made is a whole different level. i asked @claudeai opus 5.5 to introduce itself, however it wanted without any token usage restrictions and access to any api it wanted. it decided to write a song, make a video, visualize itself and give an interview behind the music. it also wrote this thread 🧵

By far the best genre of slop so far 🤣

Anthropic has no image or video model, yet Opus 5.5 just made me this 30 second animated film using nothing but 2,800 lines of code (yes, this is 100% Claude Code with no other AI tools, connectors, or reference images) i gave it one prompt: 4 seasons passing outside a train window, a cozy carriage, a cup of coffee on the table, Grand Budapest Hotel style and it literally came back with the finished .mp4 file ready in the chat so i asked it... how did you achieve this result when you have no image model?? here's what Claude actually does behind the scenes: 1. sets up free drawing software on your computer, the kind that turns written instructions into pixels 2. writes ~2,800 lines of code describing every object as shapes with exact coordinates: a tree is a brown trunk plus ~6 overlapping green circles, the coffee cup is a few ovals and curves 3. layers the scenery at different speeds, so telegraph poles whip past 140x faster than the mountains (which is what gives it depth) 4. renders a still of each season, looks at them, then fixes what looks off 5. animates it like a flipbook: it calculates where every object should be at each moment, then redraws the whole scene 900 times 6. builds the soundtrack the same way, as equations. a plucked string is a stack of sound waves that fade out. each rail click lands on the exact frame where the coffee ripples 7. stitches it all into the final video it even invented its own season transitions: a passing train sweeps spring into summer, tunnel turns autumn into winter, etc the creativity and attention to detail is getting pretty ridiculous

After months of heads-down grinding, I’m proud to share that the @GPTZeroAI team has released the world’s most accurate AI detection model, GPTZero 4o. It’s called 4o because there are four zeros: we mark less than one in 10000 human texts as AI, evaluated across diverse passages of student writing. At the same time, we detect Claude Fable with 98.4% accuracy. We outperform Pangram in 3rd party benchmarks. Along the way, our research found major biases in the Pangram detector.

With a model this good the Claude Code harness really needs great live voice and browser + computer use (latter is improving!) Right now one lab has the best model and another has the best harness.

Opus 5.5 is truly quite incredible! I am shocked at the quality of this animation it just created programmatically 🤯🤯🤯

opus 5.5 can rap now. here's the first rap single and music video: "No Samples" 🔊 everything you see and hear is powered by custom javascript code written by opus. confused? don't worry, claude raps about how it all works

when Anthropic released their Functional Emotions paper, I gave it to Claude and asked for a song. tonight I asked Opus 5.5 to create a video for it. and it's breathtaking.

for the past few months i've been asking our models to paint. opus 5.5 is very skilled at emulating different styles every image here is a python program generated pixel by pixel. there is no image model, and no off-the-shelf art software. instead, it's about 7,500 lines of code using standard libraries to emulate different brush styles. the agents don't use any pictures as reference, instead working only from what they know about each painter

BREAKING NEWS: @claudeai OPUS 5.5 IS NOT ANNOYING ANYMORE Proof + full ep on YT: piped.video/watch?v=zObYdmNB…

Opus 5.5 is way, way, way better than Opus 5. Sorry about that model, please try this one.

I worked on this, and Opus 5.5 is our first model model release with targeted improvements on sentence clarity and overly-dense info dumps. It's a hard problem to solve, and we'll continue to make improvements. But I haven't been as happy about a model's writing since Opus 4.6.

The life of a button... 🔊

This has to be the most chaotic FSD video on the Internet. 😆 📸 CORTEZ HEARNS 

TALES OF GRIMWICKE — Chapter I is 22 minutes of AI fantasy animation inspired by the many anthropomorphic animal stories I read as a kid, with a dark twist: The model: Seedance 2.5 (@ByteDanceSeed_ ) via @Segmind_ai. 847 takes generated, mostly 30-second multi-shot prompts, over 5 hours of footage. 127 clips made the cut. About $4.5k in generation, four weeks from first take to publish. Characters and locations came out of @midjourney. Using MJ for the location plates was a revelation: the cinematography and art direction are a level above, and it renders far better as a plate than Nano Banana or GPT Image. Nano Banana (@GoogleDeepMind run on @fal) did the heavy lifting editing those plates, building anchor frames and turning MJ characters into turnaround sheets. Then I let Seedance do as much of the framing and camera operating as possible. That gave the best results. A lot of what I do in my Unreal Engine films came with me: a handheld, imperfect camera operator instead of smooth moves, focus hunting, and above all weather and atmospherics. The model does water, snow, smoke and rain really well, and leaning into that is what keeps it from looking like a Temu Pixar film. The tools I built: a portal (Node on @flydotio) that holds the bible, the refs, every prompt and every take, with a Claude agent (@claudeai) that writes the prompts to the house rules. A Premiere Pro (@AdobeVideo) panel that browses the archive, drops selects on the timeline, versions the project, strips music, and sends fixes back to Seedance. Everything is done in 720p with no upscaling, because it looks terrible. Narration is my own voice through @ElevenLabs speech-to-speech. Music from @Artlist_io. None of this would exist without @PJaccetturo and @Kavanthekid. Their narrative work, Nexus and Chronicles of Bone, proved long-form AI film was possible, and their podcasts, newsletters and X posts, updated constantly as the workflow changes under everyone's feet, showed how to actually do it. Chapter II is currently in the works and I will release it initially on my YouTube channel, The Darkest Age (@CharlieDriscollAI). Consider subscribing there to see it as soon as it drops!

Balance has been restored. It's ok to play video games again.

Superhuman users have been asking us for a notetaker for a long time. Meeting notes are one of the clearest, most valuable places where AI can help, and it’s a category I’ve spent a lot of time with. That’s part of what led us to Fathom. And today, I’m excited to share that @fathomdotai is now part of @Superhuman . @rrwhite and the Fathom team have built an excellent product and a team with deep expertise in this category. What’s especially interesting to me is where meeting notes can go next. The value isn’t only in capturing and summarizing a conversation. It’s in making what was discussed, decided, and committed to useful in the work that follows. That fits naturally with what we’re building at Superhuman. Fathom adds meeting context to the context already available across email, calendar, docs, and other places people work. We’re already working together on what comes next, and I believe we have an opportunity to set a new bar for the category. I’m very excited to welcome the Fathom team to Superhuman.