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There has been lots of talk recently about how the new cohort of mega funds might play out in venture. Josh had the most cogent analytical take I've heard, the "venture arrogance score".

Optimizing AI agents requires writing down the valuable institutional knowledge in your company. Big co’s will struggle with this: middle managers worry about becoming replaceable and leaders worry about leaks. If they don’t do it, they’ll be crushed by competitors who do.

The biggest mistake when thinking about AI Agents is to narrowly see them as replacing work that already gets done. The vast majority of AI Agents will be used to automate tasks that humans never got around to doing before because it was too expensive or time consuming.

Will we hire engineers in the future? Prompting is thinking. The sharper your thoughts, the better the prompts, the better the outputs. Engineering and design are headed into a world where most of the output is produced by prompting, if not all. The way we interview engineers

🚨 BREAKING: Microsoft just dropped an 18-episode series called "Generative AI for Beginners". Ideal for beginners, developers, and AI enthusiasts looking to build a solid foundation. Here’s a breakdown (Save this👇):🧵

I spent 6 years at Enron right out of college, including through the bankruptcy, but I didn’t really grasp what happened until I studied GE. It’s basically the same story. GE was an industrial company that transformed into a conglomerate under a hard-charging, visionary CEO.

AI will make the daily tasks of an engineer totally different. But you’ll still need to know how software works, how to best prompt the AI to get what you want, what to accept or discard, and how to get the AI back on track, which means the engineering jobs don’t go away.

Tony Fadell (iPod creator) on the culture clash between Apple and Google “At Apple, you couldn’t hide. If you were hiding, someone would say, ‘What the [expletive]? Why aren’t you doing the thing we need?’ Everyone was critical.” When Tony sold his company Nest to Google for

New pod: The rise of "dopamine culture" and the decline of pop culture in America First, I discuss the Ted Gioa's argument that pop culture is being turned into a virtual casino of the mind that is better at producing reward-seeking behavior than quality art. Then, I talk to

It's honestly mindblowing. transformer-circuits.pub/2025/attributi…

This paper confirms my belief that figuring out how to effectively employ LLMs at scale in education is one of the most important research problems of the day (and no, the answer is not “replace teachers with AI”). Huge potential returns, and the worst case is already happening

One piece of advice right now for anyone in college entering the workforce would be to get insanely good at using AI tools to get work done. You will look like a time traveler from the future to most companies, and likely can actually help the whole company modernize too.

In a meeting with Deloitte officials at ACC spring meetings, the company shared with ADs/coaches interesting figures on the NIL clearinghouse. - 70% of past deals from booster collectives would have been denied. - 90% of deals from public companies would have been approved.

When AI makes things far faster, it means you can deliver services to entire new market segments, or solve problems that were impractical before. This will be the vast majority of AI Agent use cases in the enterprise. And they will be used to drive more growth just savings.

75% of restaurant traffic is now takeout orders. Incredible. Total delivery app domination foodandwine.com/restaurant-tak…

The hardest segment of SaaS: Sales-led SMB sales You have to be wildly, wildly efficient and effective And you have to further fight the inherent churn in SMBs CAC has to be really, really low

The UX for long running AI Agents is going to be one of the most interesting design questions in the coming years. The more the agent is doing complex tasks for you in the background, the more the UI of software is about the meta elements of managing their work.

Last two weeks we've made Lovable better in many ways with fewer errors, faster responses, better UX and fewer bugs. Here is everything we've done:

Doing deep research with AI is an entire new form of productivity. It doesn’t just speed things up that you would’ve done before. You start to give AI Agents research tasks that you never would’ve engaged in before given how long the research would’ve taken. There’s an entire

Karl Marx said he had discovered the scientific laws of economics. Value came from labor. Profit was theft. Only central planning could build a just society. But four Austrian economists—Menger, Böhm-Bawerk, Mises, and Hayek—tore his theory apart. 🧵