toucan
4.3K posts
Ferrari has just officially unveiled its first ever all-electric car, called the Ferrari Luce. • Starting price: $640,000 • Interior co-designed with Apple's former head of design, Jony Ive • Range: 280 miles (expected EPA) • Peak charging speed: 350kW • 122 kWh battery • 1,050 horsepower • 0-60mph: 2.4s • 800v • Four-door four-seater • Four electric motors • OLED screens • Weight: 4,982 lbs • Front motors spin to 30,000 rpm, rears hit 25,500 rpm • Car uses an accelerometer to capture real vibrations from the electric motors & rear chassis. An algorithm filters out unpleasant frequencies and amplifies only the more “musical” sounds. This can be heard inside and outside the car. • Paddle shifter on steering wheel changes how aggressively torque is delivered, with five different levels • The trunk has 21.1 cubic feet of space, the largest luggage capacity the company has ever offered • 197.6 inches long, about as long as a Tesla Model S U.S. deliveries start in Q2 2027. More photos in the thread below:
how is a guy who is inexperienced supposed to practice hitting on/flirting with girls? seems like no matter what, given his inexperience, he will inevitably overstep/say something weird, creepy, rude, etc. And it seems wrong to use real human beings as practice objects to learn
academics are unprepared for the coming world where much scientific progress is majorly a function of inference compute. whether OpenAI points the Eye of Stargate at your particular field will decide its acceleration. talent will leach away into the labs. it's already begun
academics are unprepared for the coming world where much scientific progress is majorly a function of inference compute. whether OpenAI points the Eye of Stargate at your particular field will decide its acceleration. talent will leach away into the labs. it's already begun
LLM psychosis scales with your distance from the code. As a result it tends especially to afflict non-coding managers, PMs, and execs. It’s also a self reinforcing loop. As the code becomes an object of disgust (unreadable pile of vibecoded shit) you are forced to distance yourself further from it and your only interactions with the code are mediated by model.
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.
Meta is pulling engineers from unrelated orgs (eg ads) to become data labelers for MSL.
