A number of people are talking about implications of AI to schools. I spoke about some of my thoughts to a school board earlier, some highlights: 1. You will never be able to detect the use of AI in homework. Full stop. All "detectors" of AI imo don't really work, can be defeated in various ways, and are in principle doomed to fail. You have to assume that any work done outside classroom has used AI. 2. Therefore, the majority of grading has to shift to in-class work (instead of at-home assignments), in settings where teachers can physically monitor students. The students remain motivated to learn how to solve problems without AI because they know they will be evaluated without it in class later. 3. We want students to be able to use AI, it is here to stay and it is extremely powerful, but we also don't want students to be naked in the world without it. Using the calculator as an example of a historically disruptive technology, school teaches you how to do all the basic math & arithmetic so that you can in principle do it by hand, even if calculators are pervasive and greatly speed up work in practical settings. In addition, you understand what it's doing for you, so should it give you a wrong answer (e.g. you mistyped "prompt"), you should be able to notice it, gut check it, verify it in some other way, etc. The verification ability is especially important in the case of AI, which is presently a lot more fallible in a great variety of ways compared to calculators. 4. A lot of the evaluation settings remain at teacher's discretion and involve a creative design space of no tools, cheatsheets, open book, provided AI responses, direct internet/AI access, etc. TLDR the goal is that the students are proficient in the use of AI, but can also exist without it, and imo the only way to get there is to flip classes around and move the majority of testing to in class settings.

Learn to code.

We're now rolling out interactive images to the @GeminiApp for more visual and dynamic learning. It’s designed to help you visually explore complex academic concepts, turning studying from passive viewing into active exploration. Learn more → https://goo.gle/49H4K8e

We entered YC with $16K MRR. 100% bootstrapped. Today, we’re at $75K MRR, a 4.7× increase in just 6 weeks ( and $1.1M in annualized run rate) and on track to double before the end of the year. It’s been wild watching Parrot evolve from a scrappy experiment into a product people genuinely love using daily. Every day, new users tell us the same thing: “It doesn’t feel like I’m studying. I’m just scrolling.” That’s exactly the point. We’re building the first language app designed for the way people actually spend time on their phones, swiping through short, entertaining videos. Except this time, it’s productive scrolling. We’re just getting started. The retention is improving, the love is real, and the growth is compounding. Super excited to keep talking to users and making Parrot 100x better.

Gemini Nano Banana Pro can solve exam questions *in* the exam page image. With doodles, diagrams, all that. ChatGPT thinks these solutions are all correct except Se_2P_2 should be "diselenium diphosphide" and a spelling mistake (should be "thiocyanic acid" not "thoicyanic") :O

Three thoughts on AI and education: 1. AI makes plagiarism trivial. It also makes original thought more visible than ever. We chose which one to fear. 2. In a world where any student can consult a thousand experts before lunch, the real exam is not what they know, but which voices they choose to trust and which they choose to resist. 3. When thinking can be outsourced on demand, education is no longer about solving problems. It is about deciding which problems are worth solving.