My favorite prompt of all times is this editorial illustration wonder As always would love to see your experiments with it Works best with GPT Image 2.5 I used Firefly Boards for mine prompt 👇

1/4 Today, we’re releasing Mercury 3. Mercury 3 is by far our most powerful model and the most intelligent diffusion LLM ever released. It outperforms GPT-6 Luna and Haiku 5.5 on quality while running at 1000+ tok/sec.

JUST IN: NASA's James Webb Space Telescope detects a mysterious infrared light signal emanating from a seemingly empty void in space, leaving scientists puzzled.

Grok Bot is so good that I'm going to have to keep it as my third must-have AI subscription. Here's how I'm currently using each one: - ChatGPT: Research, analysis, reasoning, complex math projects, and personal assistance. - Claude: Coding, development, code reviews, and technical work. - Grok Bot: Agent orchestration, persistent automations, and task continuity. And this is actually what I'd recommend to everyone. Even if you're on a tight budget, I'd suggest getting the cheaper plans from each of these companies.

Lina, you don't know the honest truth. In the military, you got your POGs... Person Other than a Grunt. Guys who don't shoot anything. You need them, because you need all sorts of specialties, but you can't trust their big-picture judgement, because the overall mission of the military is shootin' people, and they don't do that. In civilization, we have POMs. Person Other than a Maker. Dudes what don't build things. You might need them. But you shouldn't take them too seriously, or listen to them too much, because on some fundamental level, they are never going to get it. They are never going to understand. The fundamental task of civilization is making things, and POMs don't do that. "This is just a mash-up of existing technology" is the most POM-like typing you could ever hope to see. It's a tell that someone has never done a significant engineering project in a technical role. Experienced engineers not only understand differently, we eat, sleep and breathe the basic reality that 99% of engineering challenges are "get mechanism to work with other mechanism". Without breaking, shaking itself apart or blowing up. Every basic scientific principle behind the internal combustion automobile was understood by the ancient Greeks and Romans. And yet they were not only unable to harness those principles to make a primitive steam-powered automobile, they were unable to conceive of the very idea, because their ability to implement and integrate wasn't advanced enough. If you look at everything that Elon Musk has ever done, every company he has ever built, every technology he has ever brought to market, none of it was a purely new invention. It was ALL taking stuff that already kinda worked, and making it do new things. And not just do them, but do them so well that they actually became practical. SpaceX didn't invent the rocket. They made it reusable. Tesla didn't invent the electric motor or the battery. They made them practical for ground transportation. Neurallink didn't invent electrical nerve interfaces. They made them control a computer UI. This shit is incredibly hard. If you try to use the known principle of a cold-gas thruster to make a car fly, you're going to crash and blow up a lot. You're going to have to make mistakes, and fix them, one by one, until you run out of mistakes and the thing flies. Real engineers, real makers, know that this is what the word engineering means. POMs don't get it. Lina doesn't understand what she saw. She thinks she saw a publicity stunt to impress yokels. No. That was a publicity stunt to impress engineers. It wasn't a demonstration of a flying car at all. It was a demonstration of the engineering capabilities of team. It was a flex. "Look," they said, "we can reify the Gernsback continuum. Give us your silliest, low-effort science fiction meme tech, and give us enough time, and we'll make it real." The purpose of making a flying car isn't to let you do a jetpack leap over traffic. It's to learn all the little implementation details and balancing tradeoffs and gotchas that you have to master to make a car fly. It's not the big scientific discoveries that build civilization. By themselves, they are nothing but curiosities. What builds civilization is all the little discoveries that you make when you try to get the big ones to stop crashing and blowing up. When someone does that on a unprecedented level, you either help them, or you stay out of the way and keep your ignorant POM opinions to yourself.

Configurations – Performance: road ready, seats 2 Active aerodynamics & multi-mode suction system for next-level performance on & off the track – Thrust: race ready, seats 2 Multi-mode suction system paired w/ rear-mounted cold-gas thrusters that enable 0–60 in <1 second – Rocket: air ready, seats 1 Multi-mode suction system plus perimeter-mounted cold-gas thrusters supporting forward & upward acceleration plus lateral rotational movement. So...yes, it can fly Range >300 miles Top speed up to >230mph (Rocket) 0-60 Performance (<1.6) Thrust (<0.9) Rocket (<0.59) Reserve now – Tesla.com/Roadster

Complete Tesla Roadster FLYING demo. INSANE!!!

A lot of talented, intelligent guys figure out how to play games really well from an early age This transitions pretty naturally into business later on. Depending on the type of intelligence they have, they start to see patterns earlier than other people, make better decisions + accumulate the compounding benefits of doing so over time They experience a lot of success because they’re innately good at taking objective reality, figuring out what’s working and what isn’t, and pivoting accordingly The interesting thing is that this becomes progressively more fine-tuned throughout their life. The more they do it, the better they get at it, and the more the game itself reinforces the underlying behavior The fundamental feedback loop is pretty straightforward. You look at reality objectively, identify what’s wrong or what could be improved, adjust your behavior, and get a better result. Repeat this enough times and you become exceptionally good at it The problem is that the game itself starts to become your model for life And how you perceive reality quite literally becomes your reality The game isn’t just economics either, although it certainly attracts extremes in this category. It’s everything you’ve learned to do well, everything that has rewarded you for being this way At a certain point, you start to realize that there are other dimensions of life that don’t operate according to the same rules. Relationships, love, internal peace, actually feeling things, being present, having a sense of self that isn’t entirely contingent on what you’re doing or how well you’re doing it And the really interesting part is that some of the traits that got you here can actively get in the way of developing those other dimensions Because you simply CANNOT approach everything as a problem to solve In fact, some of the most important things in life seem to require almost the opposite of what made you successful This is a particularly difficult transition for anyone who has spent their entire life being rewarded for the ability to adapt and make things happen The real challenge is learning when the thing that makes you exceptionally good at one game is no longer the thing that will get you where you want to go in another And being intelligent enough to recognize that isn’t necessarily the same as being able to do it At some point, you have to develop an entirely different relationship with reality It requires a big leap of faith into the unknown, which feels like death at first There is no other option tho, unless you want to continuing living a life of illusion

Day 9/ We've rolled out optimizations to how we store state on disk for the chatgpt & codex desktop app that should reduce the amount stored on disk by 60%. Small ship but we've heard enough feedback about power users running out of disk space.