Relying on ChatGPT significantly affects critical thinking abilities, according to a new study.

Researchers from MIT Media Lab, Wellesley College, and Massachusetts College of Art and Design conducted a four-month study titled “Your Brain on ChatGPT” and found users of large language models (LLMs) like OpenAI’s chatbot “consistently underperformed at neural, linguistic, and behavioral levels.” — Read More

Around half of people are worried they’ll lose their job to AI.¹ And they’re right to be concerned: AI can now complete real-world coding tasks on GitHub, generate photorealistic video, drive a taxi more safely than humans, and do accurate medical diagnosis.² And it’s set to continue to improve rapidly.

But what’s less appreciated is that, while AI drives down the value of skills it can do, it drives up the value of skills it can’t— because they become the bottlenecks to further automation (for a while at least). As I’ll explain, ATMs actually increased employment of bank tellers — until online banking finished the job.

Your best strategy is to learn the skills that AI will make more valuable, trying to ride the wave one step ahead of automation.  — Read More

[T]oday, we are examining the latest research from Google, Cohere, Apple, MIT, Mistral, NVIDIA, and more to determine what the incumbents are most excited about and what breakthroughs will matter in the coming months.

It’s an honest, hard look at what AI is (and isn’t) currently, and, by the end, you will be fully up-to-date with the industry on a deeper level hardly attained by almost anyone. — Read More

His bet: whoever nails memory + context around decent model at a product level wins. Users will suddenly feel like they’re talking to AGI. — Read More

#strategy

If you’ve worried that AI might take your job, deprive you of your livelihood, or maybe even replace your role in society, it probably feels good to see the latest AI tools fail spectacularly. If AI recommends glue as a pizza topping, then you’re safe for another day.

But the fact remains that AI already has definite advantages over even the most skilled humans, and knowing where these advantages arise — and where they don’t — will be key to adapting to the AI-infused workforce.

AI will often not be as effective as a human doing the same job. It won’t always know more or be more accurate. And it definitely won’t always be fairer or more reliable. But it may still be used whenever it has an advantage over humans in one of four dimensions: speed, scale, scope and sophistication. Understanding these dimensions is the key to understanding AI-human replacement. — Read More

Last week I attended the 2025 AI Engineer World’s Fair in San Francisco with a bunch of other founders from Seattle Foundations.

There were over 20 tracks on specific topics, and I went particularly deep on Evals, learning firsthand how companies like Google, Notion, Zapier, and Vercel build and deploy evals for their AI features.

While there were meaningful unique details in each talk, there was also surprising consistency on the general framework which I’m representing with this flywheel. — Read More

A fifth of the UK workforce will be supported with the AI skills they need to thrive in their jobs, breaking down barriers to opportunity and unlocking economic growth.

That’s the message Technology Secretary Peter Kyle delivered this week (Friday 13 June) as he brought together leading tech firms for a first round of focused talks. 

Peter Kyle met the likes of Amazon, Barclays, BT, Google, IBM, Intuit, Microsoft, Sage, and Salesforce, as a new government-industry partnership unveiled by the Prime Minister during London Tech Week formally kicked off its work. — Read More

Apple today announced new Apple Intelligence features that elevate the user experience across iPhone, iPad, Mac, Apple Watch, and Apple Vision Pro. Apple Intelligence unlocks new ways for users to communicate with features like Live Translation; do more with what’s on their screen with updates to visual intelligence; and express themselves with enhancements to Image Playground and Genmoji.¹ Additionally, Shortcuts can now tap into Apple Intelligence directly, and developers will be able to access the on-device large language model at the core of Apple Intelligence, giving them direct access to intelligence that is powerful, fast, built with privacy, and available even when users are offline. These Apple Intelligence features are available for testing starting today, and will be available to users with supported devices set to a supported language this fall. — Read More

#strategy

The recent successes of generative AI models have convinced some that AGI is imminent. While these models appear to capture the essence of human intelligence, they defy even our most basic intuitions about it. They have emerged not because they are thoughtful solutions to the problem of intelligence, but because they scaled effectively on hardware we already had. Seduced by the fruits of scale, some have come to believe that it provides a clear pathway to AGI. The most emblematic case of this is the multimodal approach, in which massive modular networks are optimized for an array of modalities that, taken together, appear general. However, I argue that this strategy is sure to fail in the near term; it will not lead to human-level AGI that can, e.g., perform sensorimotor reasoning, motion planning, and social coordination. Instead of trying to glue modalities together into a patchwork AGI, we should pursue approaches to intelligence that treat embodiment and interaction with the environment as primary, and see modality-centered processing as emergent phenomena. — Read More

#strategy