Is @bitcoin new money or incentive for giving to massively distributed processing power? Either way, it proposes a new economy: bitcoin.org

Impressive from Canton. For years, banks talked about creating private blockchain consortiums. Canton has effectively created a public blockchain consortium by getting most of Wall Street on the Digital Asset balance sheet. Impressive strategy, technology, and execution.

using claude with Telegram to make cron jobs is a different use case now than using OpenClaw to do the same?

The ticker is MEZO!

sequoia put out a blog post called "services is the new software" look at this map of over $1T in services being replaced by AI agents

Assets added to the roadmap today: Mezo (MEZO) coinbase.com/blog/increasing…

The New Product Economics: Manage product like a balance sheet. Not just faster shipping or better specs. Clarity should compound faster than debt. x.com/erdogan/status/2034417…

in a world of agents, the product role is going to split into two jobs: - one that organizes humans (stakeholders, design, eng) - one that organizes agents (prompts, evals, workflows, etc) Both will be in pursuit of offering the right products to customers, but how you get there will dramatically change. What happens to the typical product rituals? Instead of PRDs, OKRs, standups, product reviews, we'll need the equivalent for agents. Couple wild ideas here... instead of standups: the equivalent is that agents will report back to us based on run logs and anomaly flags. no one needs to say what they did yesterday, the system already did thousands of things. the question is where it broke, where it surprised you, and where it got better. Show us the patterns, the trends, the edge cases - particularly the ones the agents didn't fix automatically. the daily ritual becomes reviewing deltas, scanning failures, and deciding which ones matter. less reporting, more triage instead of OKRs: we’ll need adversarial agents that continuously monitor/grade the system and detect patterns, scoring outcomes on an hourly or daily basis. Rather than setting a quarterly goal of "increase X by 5%" and revisiting slowly -- instead, management will be able to monitor success in real-time and detect trends/patterns towards overall goals instead of PRDs: we won't need waterfall. Prototyping will rule the day, and we’ll need a living agentic loop that mediates customer feedback/ratings and what's being prioritized and built. you don’t hand it to eng, you deploy it into the agent loop. if it’s wrong, it fails visibly and you can revert. if it’s right, it produces the right output instead of product reviews: we'll need simulation systems to examine agent behavior in different scenarios. In an agentic world where UI shifts from buttons/menus to agents automatically doing things, you'll want to examine their behavior before you deploy. You rewind decisions, fork alternate paths, and see how different prompts or constraints would have changed outcomes. the review becomes interactive. less storytelling, more counterfactuals. The PM sits in the middle of this split. On the human side, still aligning taste, risk tolerance, and strategy across people. On the agent side, shaping the actual behavior of the system through prompts, evals, and feedback loops. one side is persuasion. The other is instrumentation. the best ones will collapse the gap, translating intent directly into systems that act on it. the fascinating part is that the agentic loop will run 10000x faster than the human one, and of course, you can "hire" them faster. Thus the “organizing humans” half starts to feel slow and lower impact unless it directly improves the agent loop. Eventually the PM will shift towards agents and maybe ignore the human coordination altogether...

We are entering an era where human-maxxing will be rewarded. Given infinite AI appslop marketed by AI adslop, the way to win is: - be human. your marketing is you and a camera. - app pain point is something personal to you - landing page is not fucking purple

This is one of the most useful tools I've come across for working with my agents. I just ask "research xyz. deploy it on gui.new. use frontend design skill". Instant shareable link, expires in 24 hours.

Anthropic dropped a 33 page cheat sheet for using Claude to build and design anything. resources.anthropic.com/hubf…

40% workforce reduction. Stock up sharply. AI is being priced as operating leverage. Now we’ll see which teams can turn that leverage into real throughput.

PMs using AI “now I don’t have to wait on designers for mockups!” Designers using AI “now I don’t have to wait on developers for code!” Developers using AI “now I don’t have to wait on PMs for requirements !”