Eldar Boziev

I can't sleep after this shit... Claude Code just found 12,154 photos of my face on the old Android I used for 8 years. I never took a single one of them. The front camera was firing almost every time I picked the phone up. In bed, on the train, in the car, or when I just grabbed it to check the time. They were real camera frames sitting in a hidden folder, each one with a timestamp and a location. None of them were in the Gallery or in Recently Deleted. I plugged the phone into my laptop, turned on ADB and told Claude Code to look for front-camera files that weren't in my photos. It pulled a folder inside Android/data that belonged to a flashlight app I installed in 2019 and completely forgot about. 12,154 files. I started scrolling. Almost all of it was from the last 15 months. Then I saw a file created 2 seconds ago, while I was still looking at the folder. The phone kept taking photos of me as I was reading this. On Android 8 any app with camera permission can shoot in the background, and you get no green dot or any other warning when it does. That flashlight app had camera and location access from day one. I uninstalled it, took camera access away from everything that doesn't need it and cleared the folder. How many of these photos already went somewhere else, I don't know. If you want to check yours, plug it in, turn on USB debugging and ask Claude Code to find front-camera files outside your Gallery and show which apps used the camera and when.

OmarchyTV is officially live on GitHub! 🚀🖥️ Huge thank you to @dhh and @kdaigle for helping get my GitHub account back online so quickly. 26 MIT themes, AI TUI, MCP, Android TV, webOS & PC plugin: github.com/piermark/omarchyt… Computers and TVs should be fun and look cool.

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.

Our Omarchy linux kernel now supports touch id on Apple Silicon. Thanks @buildwithdjdev and @SiliconForested for the amazing work in this space. Our official release is coming soon. @omarchy @dhh

@MinimalCompany @Youkhna if you guys wanna send me a phone to test, I bet I’ll get Omarchy running on it within a week. Opens up a whole world of possibilities.

Grok Bot can now search, read, and monitor X.

Introducing HyperFrames Studio a video editor built for agents, from scratch Describe it, your agent builds, then you both work on the same timeline Draw or comment on a frame, and it makes the edit 100s of inspirations & templates Download ↓

Introducing Griffin, the first model to pass the video Turing test. 48% of people who talked to it live thought it was a real human. Previous systems have had a pass rate <3%. It is #1 on NVIDIA's benchmark for full-duplex AI video. It’s the first Human Interaction Model (HIM).

"Start thread with no project" New feature just dropped on the T3 Code nightly :)