The reaction to the Ferrari Luce is a harbinger of things to come: every major product launch will incite an army of armchair “designers” to generate some slop showing how easy it is.
Ferrari, back to the drawing board! Save the Ferrari Luce 😮💨
Great design elements, disastrous proportions — somehow resulting in what feels like a completely misguided Ferrari.
The Ferrari Luce, recently unveiled, may go down as one of the most controversial Ferrari designs ever…
Thankfully, SugerDesign stepped in to fix it.
CEOs are uniquely prone to AI psychosis because they’re sufficiently distant from the last mile of work that still has to happen to generate most value with AI.
So when they play with AI, they see the happy path results, often not considering the next 10 or 20 things that have to happen to get sustainable results from agents.
“Look I made this awesome product prototype”. Yes but you didn’t have to review the code before it went into production and fix a bunch of issues.
“Look I generated a contract”. Yes but you didn’t verify all the terms before it goes out to the counterparty and didn’t have to wire up all the past contracts to work with.
The best thing you can do as a CEO is to use AI a *ton* to figure out the real implications of agents in the enterprise, and come out the other side with an appreciation for both the upside and the real work that goes into them.
@JasonrShuman Seems like a good idea, actually terrible idea.
The latency is too nauseating.
FPV headsets without headtracked motion work because they are not anything like VR.
@pitdesi To be blunt: that’s cope.
The frontier models were always going to eat the fintech industry. Their $trillion+ valuations necessitate it.
The writing is on the wall. Read it when you get the chance.
Introducing MagicPath 2.0.
MagicPath is now a multiplayer canvas for humans and agents like Codex or Claude Code to design and build with AI.
Use your codebase, grab data from anywhere, and see the agents work in real time as a team while building fully functional prototypes.
we built the first sane way to debug your agent locally.
you can see your traces. codex/claude code can too. this lets them write evals and test your agents automatically.
best part: it's completely free and open source. install with 1 line.
(github below)
There’s a certain type of startup mentality that relies on customer feedback to tell them how to improve their products.
They essentially wanted customers to ‘prompt’ them to suck less.
If you have to be told to fix your product, you’re ngmi in the AI age
@illscience Outcomes are the only metric that matter.
If a startup is so instinctually bureaucratic that they’re spending time scrutinizing productivity metrics like token spend… ngmi
Growing up homeschooled, I did an SAT every year. My siblings and I always performed several years ahead of our actual grade level.
My mom was not pleased if the scores didn’t totally stomp the average. Tiger mom.
If you aren’t that determined, I don’t recommend homeschooling
Right, if homeschooling is actually super high quality, then homeschooling families should not object to being evaluated, tested, and checked-in-on to make sure their kids are actually learning.
It’s tempting to think of agents in terms of human jobs.
“Lawyer agent”, “accountant agent”, etc… This is a fallacy - skeumorphism applied to AI.
Companies trying to shoe-horn agents into archaic boundaries of human roles will be left behind in a future foreign to the past
@neha Great write up. Though I think it misses the most prominent business model used by Google, OpenAI, Microsoft, etc.
That is, open source a lot, keep the keystone software closed.
A Lens Is a Physical Fourier Computer
A lens does not only bend light. It computes with the wave.
Send several Gaussian beams into the lens, and the field after the glass is no longer just focused. The lens adds a quadratic phase, lets the wave propagate, and converts angle into position at the focal plane. That detector plane is the Fourier plane.
@amaldorai@KelseyTuoc Mozilla pivoted to the same Foundation/Corporation structure as OpenAI. That was like 20 years ago.
Why do techies care all of the sudden?
There are two kinds of people after dinner:
Those who ask, “Can I help?”
And those who are already doing the dishes.
One sounds helpful.
One is.
This plays out on every team every day. Don't wait for permission. Do the dishes.