Over the past year and a half, Trump Jr. has amassed a fortune from stakes in companies ranging from crypto startups to a drone business to a firearms retailer. Some firms tied to the president’s son have received contracts or other support from the federal government, part of what critics describe as a run of Trump family self-dealing. In December, Forbes estimated that Trump Jr.’s net worth had rocketed from roughly $50 million to $300 million since the election.
@propublicapropublica.org/article/trump…
🎗️ AI Agents Are Implemented, Not Adopted
⌛️ Long-running AI agents need orchestration: checkpoints, replay, retries, state management, and human-in-the-loop
🔎 Hamza Tahir on Kitaru — the open source runtime for long-running Python agent
thedataexchange.media/hamza-…
Announced AI Capacity May Not Become Real Capacity
👀 What does "capacity" actually mean? When it comes to data centers it can mean anything from an option to buy land to an active server rack. Investors should look closely at what is actually being built
🔎 gradientflow.substack.com/p/…
Why Announced AI Data Centers May Never Get Built
🎯 Much of the AI buildout runs on debt, long-term leases, and commitments tied to a pipeline that is more announced than built.
👉 gradientflow.substack.com/p/…
“Including the period before the ceasefire, he’s done it at least 38 times.”
More than once a week: at least every weekend to reassure the financial markets
cnn.com/2026/06/09/politics/…
🆕 Tech people know the data center backlash exists, but most assume the campuses will get built on schedule. That assumption is looking shakier by the day.
🙌 gradientflow.substack.com/p/…
Specialized Models Are Rewriting the Enterprise AI Playbook
🎯 The enterprise AI stack is getting more specialized. General LLMs are useful, but they were not built for every table, transaction, and telemetry stream. New foundation models are targeting the data layer where business actually happens
→ gradientflow.substack.com/p/…
How to Build and Test Reliable Multi-Agent Systems
🎧 Multi-agent systems are harder to evaluate than you think. Information leakage, shared memory, long-horizon reasoning, error attribution ✨ Zhou Yu of ArklexAI unpacks the real challenges.
thedataexchange.media/zhou-y…
From Chat to Prediction: Where Enterprise AI Is Heading
🎯 The next wave of enterprise AI is not just better chat. It is models that understand the structured, transactional, and telemetry data behind real business operations. That is where specialized foundation models are starting to break through.
→ gradientflow.substack.com/p/…
How to Know Your AI Agent Is Ready to Deploy
🎧 Manual testing of AI agents doesn't scale. Zhou Yu of ArklexAI explains why simulation-based evaluation is the rigorous alternative. Ship with evidence, not hope.
thedataexchange.media/zhou-y…
How Specialized Models Are Rewriting the Enterprise AI Playbook
🎯 The enterprise AI stack is getting more specialized. General LLMs are useful, but they were not built for every table, transaction, and telemetry stream. New foundation models are targeting the data layer where business actually happens
→ gradientflow.substack.com/p/…