Broke down a Kurosawa “Dreams” fan edit into 11 techniques and rebuilt them all in one 30-second edit.
Ink-brush wipes, text masks, frames within frames, line art to oil paint, double exposures, all on the beat.
Prompt: a 3-min p5.js animation. A fluffy original creature, Abian, rides a bike through 20 eras of art — rock art, Starry Night, 8-bit, vertical video, code — new style at every gold frame. 120 BPM, each crossing on the downbeat, one deadpan gag per painting. Cinematic intro, credits, SFX.
amazing work
花费16天,我用 Opus 5.5 将小王子的故事制作成了3D剧情游戏
结合Tripo+Blender,Opus 5.5 将小王子故事中的每一个星球变成了可探索的3D场景
希望大家能支持一手,后续会开源整个游戏,以及详细制作流程
Welcome to The Little Prince: Across the Stars✨:littleprince.dev/
Opus 5.5 visualise it, I bet fable 5.5 having a better version.
Dusting off this tweet from April because this gap in shared understanding of LLM capability is *widening*. It's now less "two groups of people speaking past each other" and more a sharp funnel.
- Napkin math somewhere around 6B people (~75% of the population) have barely come in contact with LLMs at all.
- Around 1-2B (~20%) are casual and infrequent users of free-tier ChatGPT-like products. This group sees derpy chatbots and treats them a bit like a better Google search, a writing aid, or etc. Maybe an agent tries to book you a flight. I have non-tech friends who (reasonably, imo) say they have not much use for it at all. Even many professionals outside of math&code are in this tier. For example, execs and many other functions spend a lot of their time talking to other people, so while they understand what is happening intellectually, it is still second-hand and a bit abstract.
- Now we get to professional use of frontier-grade LLMs in math&code. Somewhere around 20M people (0.2%) see first-hand that large, complex projects that used to take them weeks/months can now be completed by agents with a prompt. Building apps, copying apps, translating apps, decompiling apps from binaries... This has all happened very quickly and recently - less than 1 year ago, I was writing code manually by hand, typing memorized computer code commands into a code editor character by character, occasionally pressing Tab to autocomplete a little chunk of code.
- And finally we get to the ~5,000 people (~0.00006%) with access to frontier-grade systems internally. The external world has seen the preview. It looks like swarms of thousands of agents collaborating over weeks on software mega projects: minting zero days, running cyber attacks and defenses at machine speeds, discovering new science, advancing the frontier of mathematics. Things that would have taken top professionals in the industry years of work. Meanwhile, human review and comprehension are starting to fall behind. For example, people are still involved in the "archeology" of the OpenAI-HF incident from many months ago. Mathematicians may be poring over the 722 manuscripts on frontier mathematics for a while.
The funnel is driven by a combination of factors:
1. The impact scales with ambition, problem size, and horizon. A question with a paragraph answer barely stresses the system. You need a reservoir of big, difficult problems that you really care about. This aspect drives the consumer / professional dimension of the funnel.
2. The jaggedness of the system (which I have written about a lot separately). Capability peaks in domains that are digital, verifiable and economically valuable. This is because LLM capability emerges from reinforcement learning on verifiable rewards on a curated environment mixture driven by revenue potential. This aspect primarily drives the area (e.g. math&code) dimension of the funnel.
3. Access. Free-tier, paid-tier, internal.
So this is the weirdness of the moment. The general public has mostly not interacted with these systems. When they have, it looks like a derpy chatbot. The majority of professionals still see only a modest uplift. And a small sliver of professionals are experiencing the vertigo of the curve going vertical. And it is all happening at the same time.
fable 5.5
Seeing so many posts about people saying that fable 5 now routing to a new model, possibly fable 5.5, with much enhanced capabilities.
A release should be near. Since Anthropics IPO is also pretty close they want their new model to be release a few weeks ahead so the market can really count that into the valuation.
Long story short: Fable 5.5 should arrive soon. And it looks to be a much bigger leap than we even expect.
Made a 3.5-min sci-fi short with QCut × Claude Opus 5.5 🚪
Three codenames: Night Voyage, Ferry, Far Shore.
Read them in order and you get the whole story.
Headphones on. Don’t skip the ending.
🎬 门的计划 / The Door Plan #AIfilm #ShortFilm
Six strangers. Five shelters.
Someone has to stay outside.
My AI short video inspired by Alice in Borderland — a story about survival, trust, and who gets to decide.
Watch with sound.
Would you trust the draw?
Visuals: MiniMax H3 @Hailuo_AI & Seedance 2.5
Music: ElevenLabs Music 2.5 @ElevenLabs
Editing: Astra GPT 6 @thsottiaux , QCut & CapCut
Thank you for staying until the end.
Humanity Sixth Sense benchmark
We’re introducing Humanity’s Sixth Sense, a new benchmark testing the intuitive visual reasoning people rely on every day.
Across 522 open-ended tasks spanning images and video, HSS tests everything from spatial and causal reasoning to social understanding.
The gap is significant. Humans score 93.1%, while the strongest model, GPT-6-astra, reaches 53.6%. The median model scores just 30.9%.
Tibo’s 28-day challenge live now
We built a little tracker for Tibo’s 28-day challenge 🗓️
An improvement or a full reset, every day. Let’s see what ships!
codex-resets.com/tibo-28
















