Catching skin cancer early is a home robotics problem.
Melanoma is highly treatable when detected early, yet today’s screening process depends heavily on patients noticing tiny changes across their entire skin surface. This requires patients to solve a near-impossible visual-memory and registration problem.
I built OpenDerm, an open-source 4-DOF robot that captures high-resolution images of the skin and uses them to reconstruct and track the skin surface in 3D over time.
The best way to make skin screening truly routine is to bring it into the home. OpenDerm shows that inexpensive robotic skin imaging is possible, but the path to scale is not a dedicated screening robot in every household—it is to make skin screening one of the many useful things a general-purpose home robot can do.
Read more about why I built OpenDerm and how it works here:
Blog: https://t.co/KYlNIkF3TV
Project: https://t.co/c9d4KuwXUP
@chrisbrycki Hey @chrisbrycki, FYI, there was was a fake account with your name on X, with the handle @chrisbryckii which has just been suspended. I reported it after the user started a chat conversation with me. Thought you should know. Thanks
@MarioNawfal Unless they have a way to keep the pool temperature down, and due to the black bottom absorbing heat, that pool will always feel like someone has pissed in it.
@Xaraphim They should use carbon-fibre composites to make deep sea submersibles. I reckon OceanGate would be a great name for a company doing this... 🤔🤔🤔
@chrisbrycki@clairlemon Thank you for doing this and keep up your good work informing the Australian public what a disaster this new Labour Budget will be for average investors. 👍👍👍
⚡️AI is destroying the ability to build identity around a fixed occupation.
That is the real civilizational shock.
The old labor system gave people a script. Pick a profession. Train for it. Become it. Build your life around it. Your job category became your identity container: accountant, lawyer, engineer, teacher, designer, analyst, manager, journalist, coder. The profession told you what to study, where to live, how much money to expect, what status you had, who you could marry, when you could buy a house, when you could have kids, and what future version of yourself was plausible.
AI attacks that container.
The fear is not only unemployment. The fear is ontological instability. People are realizing the thing they trained to become may not remain a stable thing. The role may mutate faster than the person can recredential. The workflow may be automated after the student debt is taken. The entry-level ladder may vanish before the graduate reaches it. The middle layer may flatten before the worker climbs into it.
That breaks time.
A society needs people to believe their sacrifices connect to a future. School only works if the credential leads somewhere. Saving only works if ownership is reachable. Career discipline only works if the ladder stays standing long enough to climb. Family formation only works if income can be predicted. AI introduces a permanent question mark into all of that.
The new economy rewards adaptive sovereignty. People who can reassemble themselves around new tools, new markets, new constraints, and new leverage will gain power. People trained to be stable components inside stable institutions will get punished.
This is why the backlash will grow. The public does not only fear losing jobs. It fears losing the ability to plan a life.
The old question was: “What career should a person choose?”
The new question is: “What kind of person can survive when careers stop staying still?”
That is the real rupture.
@chrisbrycki Great piece. I hadn't thought about Gen Z's perspective, but you are bang on. Insightful reading that perfectly elucidates that the government has missed the point with this budget. I hope enough voters can figure this out before the next election.