Can AI beat the S&P 500?

Hi friends,

I hope you’re having a great weekend. We’re embarking on our world trip in 17 days (and created the family Instagram account).

If you’re new here, every Sunday I curate the top AI blogs, tweets, podcasts and tutorials (so that you don’t have to).

Let’s jump in.

• How Kepler built verifiable AI for financial services — LLMs are “probability machines” and struggle with tasks that require 100% precision.

• Details from the OpenAI Hugging Face incident — This is wild. I’ve read summaries of this hack but the actual examples of how it went down are straight out of a sci-fi movie.

• Building and structuring an AI-native company — AI is much more than 20% productivity upgrades once you build self-learning agents.

• OpenAI launches Computer History — With your permission, ChatGPT tracks every click (and feeds it into future context).

• GrokBot launches personal agents — This looks like an OpenClaw for everyday users. And the early acclaim is very positive.

• 100 use cases for GrokBot — Cursor’s CEO shows the power of an agent that connects with all of your tools.

• How Claude marks AI-generated content — The EU is requiring watermarks for all AI-generated text. Yup, you read that right.

• The future is for everyone — Zuck’s 6,500 words on decentralized and open source AI. He’s going to compete on price, which should benefit all consumers.

• Anthropic in talks to acquire Decart — Boosts inference efficiency and builds world models.

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• What is a personal agent — A primer on why these highly coveted Personal Agents are nothing more than a few tool calls and some memory.

• The 5 problems in building personal AI — Everyone wants their personal agent. But hardware, memory and cost are all real challenges for mass adoption.

• AI adoption is a myth — You can train power users. But how do you design AI systems for the remaining 70%+ of an organization who just want these tools to work in the background.

• The company brain has a permissions problem — Permissions are really complex in an agent-first world. Do we need a new model beyond “yes, you have access” or “no”?