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What matters most to investors right now?

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Is Western Digital’s sell-off a buying opportunity or a warning sign?

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PREMARKET MOVERS: What would you watch first?
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Vote for @AZ__ for the Blockchain 100 Awards! Vote now

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What will quantum computing change first?
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🚨 NVIDIA just pushed quantum computing another step forward.

On Europe’s largest supercomputer, Jupiter, researchers simulated a 104-qubit fault-tolerant system using 90% fewer physical qubits than previous attempts, according to NVIDIA.

Why it matters: quantum computing could eventually transform drug discovery, financial modeling, and materials science.

But the real breakthrough may be the combination of GPUs and quantum processors, not either technology alone.

Is this a glimpse of the next computing revolution, or are practical quantum applications still years away?

#NVIDIA #QuantumComputing #AI

AI’s biggest threat might NOT be a bubble. It might be running out of power.

BlackRock CEO Larry Fink sees shortages, not speculation, as the bigger risk to the AI boom.

Think about it, no matter how powerful AI becomes, it still needs chips, memory, electricity, and skilled workers to scale.

The next big AI bottleneck may not be intelligence. It may be infrastructure.

What will limit AI growth the most?
#AI #BlackRock⁩ #TechStocks .
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What should require human approval?

The biggest risk with an AI agent may not be what it thinks. It may be what it’s allowed to do.

A model can be impressive at planning, but once it can spend money, call paid APIs, or act across services, a bad decision stops being just a bad answer. It can become a real transaction.

What caught my attention in Kite’s design is the separation between the user, the agent, and the session. The user remains the root authority; the agent receives delegated permissions; and a session can be limited to a specific task or period. That creates a clearer boundary between asking an AI to help and giving it the power to act.

Kite’s approach also puts programmable constraints at the infrastructure level. Spending limits and permitted actions are meant to be enforced through cryptographic authorization and smart-contract logic, not merely written into a prompt and hoped for the best.

To me, that’s a more useful way to think about AI safety in financial workflows. We probably won’t eliminate every model error. But we can design systems where one error doesn’t automatically become unlimited authority.

The question I’m left with is this: if an agent has a clear identity, limited permissions, and an auditable trail, what should still require human approval? I’d draw the line differently for a small API payment than for moving funds between accounts.

That permission boundary may be just as important as the intelligence behind the agent.

#KiteBBW $KITE @KITE AI 中文