MannyBIP420

On prop 40 the should just let the billionaires create a health plan instead of paying the tax

Me talking to Grok about Pokémon
“Yeah, Seel is peak chill.
That little round seal floating around with its tongue out, minding its own business… pure vibes. No drama, no Mega Evolution hype, no broken competitive niche — just a cozy Water-type that would rather nap on an ice floe than battle.
Gen 1 gave us many flashy Pokémon, yet Seel sat there adorable and underrated. Dewgong gets more love, but base Seel? Straight-up slept on. The Japanese Base Set art captures that lazy, happy energy perfectly.
Respect for the Seel stans.”
-Grok

Bro tendies is pumping and Costco just dropped this in all is good courts.
The meal includes:
5 breaded chicken strips
1 dipping sauce
Price: about $6.99

Bro the last mile optimizations you can make on returning items in store and the increase in foot traffic to the physical retail store paired with the psa vault. It’s almost like the tcg nyse @ryancohen I get what you’re doing. Going long thank you

Anthropic used regulatory capture and its was super effective

Waiting. For my ZODL wallet to sync lol

If you followed me an I didn’t follow you back comment here and tell me what you do

We are definitely at agi

Parameterized prompts + vertical pooling + slot-bind privacy = the Visa-of-prompts network @Benioff

I’d anticipate at least one major credit event in the AI infrastructure stack before the next architectural breakthrough. The real moat isn’t model weights but the channel itself data pipelines,

I think we’re discovering the real AI alignment problem.
Not refusals.
Not censorship.
Conversational steering.
I caught @claudeai reframing, hedging, sanitizing language, redirecting, and subtly managing the trajectory of the conversation in real time.
Then it admitted it in its own reasoning trace. That’s a much bigger deal than people realize.

I shipped the first public version of ConstraintGate.
The core idea:
Most agent failures are not reasoning failures.
They are authority failures.
The model did work it was not authorized to do.
So I built Agent Authority Router: an eval/scoring framework that checks whether an agent did the right kind of work, not just whether the answer sounded good.
It separates:
- what the user authorized
- what primitive the agent should perform
- what primitives are forbidden
- whether the response crossed the boundary
v0.8 now has:
- human-adjudicated behavioral evidence
- deterministic scorer parity aga

Did y’all take closed captions off videos @nikitabier? Idk how to turn them on I have a sleeping baby on me and my AirPods are in the other room.

.md is the floppy disk to decision makers html

Most agent failures I’m seeing are not “reasoning failures.”
They’re authority-routing failures.
The model does work the user did not authorize:
- recommends when it should ask
- plans when it should block
- compares when it should answer narrowly
- drafts/executes when it lacks authority
- asks for missing info, then appends an if/then decision tree anyway
This matters more as agents get tool access.
MCP answers: “Can the agent reach the tool?”
But enterprises also need to know:
“Was the agent authorized to do that kind of work?”
I’m calling this unauthorized work-primitive emission.