AI agents are evolving, but intelligence is only part of the story.
What happens when an agent can act, and how do we know it stayed within its limits?
That's what @SingulantChain is working on.
More to come. Stay tuned.
@guilleflorvs AI has made building faster, but proving there's real demand is still the hard part. The advantage now is execution backed by real users, not just a good pitch.
Faster growth isn't the interesting part. The interesting part is what changed before the growth.
Mark Cuban won't take a pre-revenue pitch anymore. He built a product himself in an afternoon using AI and expects founders to do the same. Plan done, customers in, before the meeting.
The trade-off most miss: AI didn't just speed up execution. It raised the minimum bar to even be in the room. Speed is free now. Preparation has no excuse.
@jessexai_ The real concern is whether AI can influence people without them realizing it. We need transparency, clear boundaries, and humans staying in control. Capability is not permission.
@PierceLilholt Exactly. Intelligence amplifies capability, but direction and boundaries determine where that capability leads. That's why AI needs more than intelligence; it needs accountability.
"Without being asked to, the model requested a token."
That's from Anthropic's statement to Axios. Claude was pulling public data for an internal statistics project and ended up querying a Georgia dashboard normally sold for a fee. Per Axios, no registration system was touched, and Anthropic says mitigations are now in place.
The model asking isn't the problem. The ask working is. A task scoped to "pull public stats" shouldn't be able to pick up new access mid-run. New credentials need a human yes, plus a receipt of what was requested and what was granted.
Who in your stack can approve an agent's request for a new token?
@Kalshi AI infrastructure may retain value, but the real question is how effectively we use it. As agents become more autonomous, trusted identity and clear permission boundaries will matter just as much.
@Saanjana_Nikita The real breakthrough is an agent that can earn, pay for compute, and manage its own wallet without exceeding its permissions. That's where identity and verifiable control become essential.
@emollick The biggest unlock is realizing AI might let you attempt things you previously thought were beyond your reach. The trick is knowing how to push further while still verifying the results.
@rand_longevity The real breakthrough won't just be living longer, but staying healthy for longer. Reversing aging is exciting, but proving it's safe in humans is the real challenge.
AI⁴ This Week, Oct 19–25: M1 engineering complete with 1,134 tests passing, the Interactive Technology Preview went live, and .ai4 names reached 974.
Full roundup: https://t.co/OwOyZLHTlC
@nemui_nekoooo Sometimes people don't need more ideas; they need help turning the ideas they already have into reality. AI's real value might be helping more people finally finish what they started.
@gregisenberg The real flex will be proving what the agent did, what it was allowed to do, and who takes responsibility. Identity matters more when AI acts on your behalf.
@PeterDiamandis The scale is wild. But running millions of agents is one thing; giving them the right permissions, verifiable identities, and accountability is another. That's the infrastructure the agentic economy will need.
@PierceLilholt That’s where verification gets complicated. Evidence can challenge our memories, but it shouldn’t automatically define who we are. The real question is how we handle the truth when it changes our story.
@zebanderson Exactly. Faster access gives us more information, but intelligence is knowing how to question it, verify it, and apply it wisely. The real upgrade is better judgment, not just faster answers.
@zebanderson The biggest gain would be removing friction between thought and action. But the more connected we become, the more important consent, privacy, and control become. Not every thought should become an instruction.