A TESLA ROBOT JUST DID SOMETHING AT A TABLE THAT MADE A GROWN MAN COVER HIS MOUTH. NO ONE TOLD HIM IT COULD DO THIS.
He thought it was a photo op. Sit next to the robot. Smile. Post it.
Then Optimus moved. On its own. No wires. No remote. No one behind a curtain. It sat down across from him like they've known each other for years.
His smile disappeared. His jaw dropped. Then his hand went over his mouth.
That's not acting. That's a man realizing he's not the smartest thing at the table anymore.
Your grandkids will laugh that this ever scared us.
loop engineering worked for 6 months. then one pipeline forced a graph
a loop is one agent on discover → plan → execute → verify, until a stop condition hits
enough for most agent work: failing tests, draft + self-review, inbox triage, one research writeup
the break is nameable: if the thing that produced the output also grades it, you don't have quality control, you have a rubber stamp
his numbers before the split:
40 drafts
31 passed self-review
18 actually publish-ready on manual read
gap = 13 drafts with a passing grade from a biased judge
he split one loop into 3 nodes
- researcher · sources + notes only
- writer · notes + task only · never grades itself
- reviewer · separate model call · check the bar · write nothing
same 40-draft workload. manual approval 18/40 → 33/40. reviewer rejected 14 with quotable reasons. 2 escalated to human instead of burning tokens forever
approval 45% → 82.5%. inference cost +60%
worth it when a bad draft costs more than three model calls. not worth it for "fix the failing test"
playbook:
- 1 law · producer never grades
- 1 router · ship / retry / escalate
- 1 state object · one owner per field · guarded writes
- split the verifier first · cheapest highest-leverage move
loop engineering → graph engineering. not five nodes for vibes, one split verifier when the loop starts grading its own homework
full contracts, router, and decision function in the article
¿Necesitas claridad mental y luz para entender los caminos de Dios? Invoca a San Jofiel.
San Jofiel Arcángel, portador de la luz divina y ángel de la sabiduría,
te pido que ilumines mi mente y mi corazón.
Disipa toda oscuridad, confusión y duda de mi espíritu.
Enséñame a ver todo con los ojos de Dios,
para que comprenda sus designios y camine con rectitud y fe.
Lléname de sabiduría celestial,
para que mis pensamientos, palabras y obras sean siempre luz para los demás.
Amén.
San Jofiel, ilumina mi camino y guía mis decisiones hoy y siempre.
# sanjofielarcangel
We're back with our latest edition of "Proof of AI Journals," by Proof of AI Lab.
In this Journal, our researcher Kevin Ros dives into how 2025 is the year of agentic AI, and Model Context Protocol (MCP) is quickly becoming the standard for connecting agents to tools like Slack, Uber, and Notion.
But there's a huge problem: authentication.
Each agent needs to authenticate with each tool individually.
If you're running 10 agents across 20 tools, that's 200 separate OAuth flows.
This leads to the M × N auth problem:
🔁 Redundant flows
🔓 Massive attack surface
🧱 No granular control over time, task, or scope
At Kite AI, we’re building a cryptographically secure transaction layer that solves this.
Agentic systems won’t scale until auth is reimagined, and we’re building that future. 🪁