Andrew Yang

The new Gamma Imagine is insanely good at graphic generation 🤯 I gave it a date and a theme for an event and asked for an invite. It came up with three genuinely clever options - and I could edit each with text prompts + easy buttons 👇

Truly wild story 🤯. A new era of "citizen science" is beginning. An engineer with no medical training used ChatGPT and Google’s Alphafold (AI protein sequencer) to build a working cancer vaccine from scratch. He turned raw genetic data into a custom mRNA vaccine that shrank his dying dog's tumor by 50%. Paul Conyngham spent $3000 to get the DNA sequences of his dog's healthy blood and the cancerous tumor. He was staring at gigabytes of raw genetic code without having any clue how to read biological data. This is exactly where ChatGPT became the crucial missing link in his process. He used ChatGPT as a high-level biological consultant to figure out how to compare the two DNA samples and spot the exact mutations causing the cancer. ChatGPT gave him the step-by-step instructions to run the data pipelines and pointed him toward an AI tool called AlphaFold to map the physical shape of the damaged proteins. The chatbot basically translated complex oncology concepts so he could write a half-page chemical recipe for an mRNA vaccine. This mRNA is just a genetic instruction manual that tells the immune system how to recognize and attack those specific mutated cancer cells. University researchers were blown away by his formula and manufactured the physical vaccine for him. A veterinary expert then injected the dog, and within weeks the massive tumor had halved in size.

3. ChatGPT owns the most "proprietary" users Across the largest LLM players, ChatGPT has by far the largest audience that exclusively using the platform. Gemini has a base of its own - but users of almost every product are essentially "shared" with ChatGPT

Powerful new Harvard Business Review study. "AI does not reduce work. It intensifies it. " A 8-month field study at a US tech company with about 200 employees found that AI use did not shrink work, it intensified it, and made employees busier. Task expansion happened because AI filled in gaps in knowledge, so people started doing work that used to belong to other roles or would have been outsourced or deferred. That shift created extra coordination and review work for specialists, including fixing AI-assisted drafts and coaching colleagues whose work was only partly correct or complete. Boundaries blurred because starting became as easy as writing a prompt, so work slipped into lunch, meetings, and the minutes right before stepping away. Multitasking rose because people ran multiple AI threads at once and kept checking outputs, which increased attention switching and mental load. Over time, this faster rhythm raised expectations for speed through what became visible and normal, even without explicit pressure from managers.

command line interface winning over gui isn’t not what I would have predicted for 2026…

Even the best developer tools mostly still don't let you sign up for an account via API. This is a big miss in the claude code age because it means that claude can't sign up on its own. Putting all your account management functions in your API should be tablestakes now.