Been looking at this from the VC side. Tokenizing equity changes how it moves, but capital still lands where rights are enforceable and exits actually exist.
funny but unironically true
when globalization is done right, it moves capital from developed to developing countries
there’s nothing natural about concentrating capital in the US… if tokenization forces the dispersion of capital, the global south is where it’s going
@jerryjliu0 Six years of long jump and you're spotting the exact issue. The sand pit point is fair too. Feels like they're limited by test setup more than the robot's actual capability.
@AngelInvestGuy Every pitch deck has the revenue projection. Almost none mention the 400 calls a week that get you there. Founders are usually months behind on the hire that makes it happen.
@SteveWiesnerSMB Been thinking about this a lot. Loss aversion cuts both ways. People hold bad positions waiting for normal and miss what dislocation creates.
Been watching rates move on this. Druck's read on the repurchase bluff is spot on. Bessent can't follow through without reigniting inflation so it's just noise.
“Government responds to market signals too.
“Unless they get a signal from the bond market, they’re just going to keep spending.”
- Stan Druckenmiller to his friend @SecScottBessent on stage seven years ago
And here we are today, with Druck chastising Scott through the WSJ 👇
@adcock_brett Been following Figure's progress. The pace from Helix 1 to 2 was striking. If tomorrow addresses generalisation, that changes the commercial picture.
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Been looking at reshoring plays recently. Charts like this show the gap between political rhetoric and commercial reality. That kind of capacity build takes decades, not quarters.
Upping US production of trade-exposed goods would require a radically expanded footprint in some sectors. To meet domestic demand for exposed electronics, the US would need to increase the sector's total productive capacity by 75 percent.
Explore the findings: https://t.co/bdDG2Gb1gw
@demian_ai Been following Nebius's UK AI push but energy costs there are a real headwind. Throughput per MW is the right lens. Where you draw that power from changes the whole equation.
MrBeast: “There's a big difference between someone consuming a five-second clip of you versus sitting down and watching a 20-minute video and getting to know you”
A view isn't the asset. Time spent is.
@cixliv Volume tells you everything. 10-20 units is a research project. Tens of thousands means supply chain, trained workforce, unit economics that work. US investors are funding demos.
AgentOps is the discipline that keeps AI agents visible and under control once they begin working inside real business processes.
An agent may perform well during a pilot and still behave differently in production.
Data changes.
Workflows are updated.
Microblog by @antgrasso
A permission that looked harmless during testing may create risk when the agent starts acting across live systems.
Consider an AI agent that updates supplier records.
Before deployment, the company defines which fields it can change. Its behavior is tested with realistic cases, including incomplete information and unexpected requests.
Once the agent is active, the work continues.
Teams need to see what it did and where review is required.
When behavior moves outside accepted limits, they must be able to adjust the agent or stop it.
This is the purpose of AgentOps: turning autonomous activity into something the organization can observe and manage with confidence.
An AI agent should never be easier to deploy than to stop.