O’Reilly Media – Protocols and Power

The AI Frontiers article (reproduced below) builds on a previous Asimov Addendum article written by Tim O’Reilly, entitled: “Disclosures. I do not think that word means what you think it means.” I (Ilan) think it’s important to first very briefly go through parts of Tim’s original piece to help recap why we—at the AI Disclosures Project—care about protocols…

O’Reilly Media – The Abstractions, They Are A-Changing

Since ChatGPT appeared on the scene, we’ve known that big changes were coming to computing. But it’s taken a few years for us to understand what they were. Now, we’re starting to understand what the future will look like. It’s still hazy, but we’re starting to see some shapes—and the shapes don’t look like “we won’t…

O’Reilly Media – Context Engineering: Bringing Engineering Discipline to Prompts—Part 1

The following is Part 1 of 3 from Addy Osmani’s original post “Context Engineering: Bringing Engineering Discipline to Parts.” Context Engineering Tips: To get the best results from an AI, you need to provide clear and specific context. The quality of the AI’s output directly depends on the quality of your input. How to improve…

O’Reilly Media – People Work in Teams, AI Assistants in Silos

As I was waiting to start a recent episode of Live with Tim O’Reilly, I was talking with attendees in the live chat. Someone asked, “Where do you get your up-to-date information about what’s going on in AI?” I thought about the various newsletters and publications I follow but quickly realized that the right answer…

Latest from MIT Tech Review – Losing GPT-4o sent some people into mourning. That was predictable.

June had no idea that GPT-5 was coming. The Norwegian student was enjoying a late-night writing session last Thursday when her ChatGPT collaborator started acting strange. “It started forgetting everything, and it wrote really badly,” she says. “It was like a robot.” June, who asked that we use only her first name for privacy reasons,…

Latest from MIT : How AI could speed the development of RNA vaccines and other RNA therapies

Using artificial intelligence, MIT researchers have come up with a new way to design nanoparticles that can more efficiently deliver RNA vaccines and other types of RNA therapies. After training a machine-learning model to analyze thousands of existing delivery particles, the researchers used it to predict new materials that would work even better. The model…

Latest from MIT : Using generative AI, researchers design compounds that can kill drug-resistant bacteria

With help from artificial intelligence, MIT researchers have designed novel antibiotics that can combat two hard-to-treat infections: drug-resistant Neisseria gonorrhoeae and multi-drug-resistant Staphylococcus aureus (MRSA). Using generative AI algorithms, the research team designed more than 36 million possible compounds and computationally screened them for antimicrobial properties. The top candidates they discovered are structurally distinct from any…