THIS GUY LIVES UNDER SFO'S TAKEOFF PATH SO HE BUILT A CEILING PROJECTOR THAT TRACKS EVERY PLANE FLYING OVER HIS HOUSE IN REAL TIME
he uses a cheap $30 radio receiver to pick up the signals that planes broadcast while flying.
then projects them onto his ceiling in real time
when a jet flies over his house you hear it outside and at the exact same moment a plane glides across his ceiling labeled with the airline, aircraft type, and destination
pure black background so the projector's rectangle disappears and only the aircraft are visible
but he didn't stop at planes
it also draws the real sky behind them. sun, moon, bright stars, constellations, and live satellites including the ISS. all at their true positions for his exact location and time in real time
so he's lying in bed watching the actual night sky projected onto his ceiling with real planes crossing through it as they take off from SFO
there is a huge market for every man alive that runs outside to see the helicopter
vibe coded the whole thing himself with a cheap radio, a projector, and some clever software
So every time I say the word 'workflow' in Claude Code...
(let's say, when I'm creating a new GitHub workflow)
...it tries to enter 'workflow' mode, spinning up dozens of subagents to complete my task.
Stupid fucking thing
🚀 Introducing SkillOpt — an optimizer for agent skills.
Instead of finetuning model weights, we treat a natural-language skill as a trainable external parameter.
Think of it as deep learning for the frontier-model + agent era: learning rate, LR schedule, mini-batch, batch size, epoch, momentum — all in text-space optimization.
SkillOpt enables stable, controllable skill updates through bounded edits, allowing the optimizer to summarize “gradient directions” from agent experience and continuously improve procedural capability.
We evaluate SkillOpt across 6 benchmarks and 7 models, under both direct model calls and real agent execution loops with Codex + Claude Code. SkillOpt achieves best or tied-best results in 52/52 settings.
Train the skill, not the model. 🛠️🤖
🌐 https://t.co/zinqcX2wfQ
📄 https://t.co/pCI4VWdpih
Folks: when you write skills, ask your agent to be token efficient, relax grammer. I see too many skills that write books in the skill description, and all that crap is loaded into every context.
I wrote a skill that finds the worst offenders. https://t.co/kfaaJpxMXE
We are entering a new era of on-device automation. ✨
Watch Gemma 4 E4B navigate and drive an iOS simulator directly using Argent. Local models can handle complex interactions and software navigation autonomously.