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Slides: Deterministic Infra for Non-Deterministic AI Agents - Nishant Gupta, Meta Superintelligence Labs

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Deterministic Infra for Non-Deterministic AI Agents - Nishant Gupta, Meta Superintelligence Labs

Relationship To World's Fair 2026

These slides are extracted from a public AI Engineer YouTube video connected to World's Fair 2026. Speaker-matched clips are supporting context unless later confirmed as exact session recordings; official livestream recordings are day-level/event-level source material.

Related Scheduled Sessions

Extracted Slides

slide-001.jpg

OCR text:

BUILDING DETERMINISTIC

INFRASTRUCTURE FOR

NON-DETERMINISTIC

AI AGENTS

THE EMERGING CONTROL PLANE

FOR AUTONOMOUS AI SYSTEMS

DETERMINISTIC BOUNDARY [DB-SOO]

ENTROPY REDUCTION: 99.9%

PREDICTABILITY INDEX: 1.0

SYSTEM VARIANCE: <0.01%

CONTROL ENCLOSURE [CE-99.99%]

SIGNAL

SYNCHRONIZATION

SIGNAL

RECTIFICATION

STATE

SYNCHRONIZATION

RIGID FRAMEWORK [RF-AIZ]

CONTROL ENCLOSURE [CE-99.99%]

Nishant Gupta

Tech Lead @ Meta

slide-002.jpg

OCR text:

Infrastructure was built for 2

predictable microservices.

THE GREAT MISMATCH

Traditional sexcrin ous x Autonomous

Microservices MASSES APE ene Al Agents

Stateless | —| —_, Stateful

_ (STATE: 0] ome {STATE: PERSIST]

Deterministic | a a a Probabilistic

| [PATH: FIXED] | °° [PATH: DYNAMIC]

- Request-response ———|> Multi-step workflows

[FLOW: SYNC] eh (FLOW: ASYNC]

, (TIME: <1¢0MS) 2 Pee [TIME: >MIN/HR]

slide-003.jpg

OCR text:

Demos optimize for capability. | ad |

Production demands reliability.

EE (STRUCTURAL INTEGRITY CRITICAL]

eo

a —“» SE _|| Capabilities

CS ©

= ____ ge —

Reliability | Jai? ai

Core - a ee .

Citi il cali

: P eT : ~~ : | Reliability Core

iat ae an “

ae <> <—ae

in, oes

eae j Ca

slide-004.jpg

OCR text:

s a = e f

Real production failures originat

the infrastructure, not the model.

Diagnostic Failure Tree <7 to .

. - reasoning loops deadlocks

re fo

Model Output . ‘ ““! hallucinations ““) storms “*“I explosions

, , “" drift poisoning

slide-005.jpg

OCR text:

Ihe anatomy ofan > adil

y Exponential GPU — g - gases

t t t Compute Spike

agent retry storm.

nf SE

SSR

Recursive aL oston

reasoning loop ,

.. 1 oo. 10 og we . locks up. we

ito a : Step 3: Agent SE = |

Ron erat et eee a attempts to fix vooe | WA Step 5:

aOe ie eseas| : my a urror but RECURSION IN” oo IMvALio The

eras caren CEnar COGe. haltucinates new fe PARAMS. g Consequence

invalid parameter. ie =

: : g

Step 1: Agent Step 3: Agent Step 4: : é

hallucinates Step 2 attempts to fix Recursive 5 Step 5:

invalid API Tool returns error but reasoning loop x The

parameters. error code. hallucinates new locks up. Time (ms) " Consequence

invalid parameter. .

7 foe * DATA SPIKE EVENT

(CRITICAL FAILURE PATH) [TIMELINE AXIS

slide-006.jpg

OCR text:

The model merelyproposes. Theplatformdecides.

Validate Validate →

ndno Aligned

Stochastic Core Execution Safe

System Compliance

Deterministic Wrapper Filter Route

[ANALYSIS:STRUCTURAL INTEGRITY] [FLOW:DETERMINISTIC CONTROL

slide-007.jpg

OCR text:

requiremultidimensional observability. Logsaredead.Autonomousworkflows

AgentTraceTimeline [TelemetrySidebar]

T+0.1s T+0.2s T+0.1s T+0.5s T+1.0s T+1.2s

LLMDecisions Track1: Call Tool A Decision. [OY] Call ToolA Decision: Query Memory Decision: [FLON:R[ASONING] Query Memory Decision: Call Tooi A Decision:

Pians Track2: Orchestration [OATA:ACTIVE]

Execution Track3: Tool Calls& [OATA:ACTIVE] Tool A Executing API Response Received [FLON:DRXTING]

Track4: MemoryAccess Context BlockX Read [FLOW:REASONING] New StateY Write: [DATA:ACTIVE]

[NISY01] [OATA:ACTIVE] [04TA:ACTIVE]

Track5: State Transitions Slate Updated State

T+9.1s T+0.1s event T+8.5s T+1.0s T+1.0s

[ANALYSIS:FLOWTRACING] [OATA:CONTIMUOUSSTATE]

slide-008.jpg

OCR text:

Shared memory coordinates 7

chaotic multi-agent consistency

- Shared Memory Architecture 3 .

“| State Store :

va SS = ee a ~ :

~*~ DT ~

we ge FOr

Context drift _/ “ See F sratememory

Ud ~ <S ;

Conflicting facts a . * a!

slide-009.jpg

OCR text:

Human oversight is an escalation path, A: .

not an operational bottleneck.

Workflow Routing Diagram

; eee OME

| ; Automated Agent Tasks “KG a ‘7 Automated Agent Tasks ; “

a ae i a —

=. 7 a Vou

Human Approval Node ~t

(ANALYSIS: ESCALATION PATHWAYS]

slide-010.jpg

OCR text:

Inference at scale fundamentally a.

becomes a cluster scheduling problem.

Elastic Scaling Graph

‘ - 4 See Long-cunning

3 200 5 Fi

5 mi Lt EE 2 | Seaview

| LL Oo

~ = Loe nH \a/ A J Bursty Demand

AeA —|]

FRC

° “— TIME (sec) “e “

slide-011.jpg

OCR text:

r we

The Reliability Rosetta Stone. mdi

. Distributed Systems Pattern Agent Equivalent

Circuit Breakers Tool Isolation .

1 {PATTERN TSOLATION] ry t [PATTERN ISOLATION) i

Rate Limiting Agent Limits

; ‘ TUENtt Une cme tee Tf iy C toate £59 ORC OREM) | 1

Retries : Controlled Recovery

1 (MECOWERT LOGIC] iD ' (necovtmy coCreh x

Quotas Cost Governance

: Lae SOU e CAPS] a q _ __ _ Ce suet CAPS) k

Observability Agent Tracing 5

va (IMACEAMILATY system) | + . Cimacea@icity system) « #

[ ANALYSIS: RELIABILITY MAPPING ]

slide-012.jpg

OCR text:

Competitive advantage has shifted fron a |

prompt engineering to systems engineering.

THE PARADIGM SHIFT

PROMPTS compound ocean .

- . . Trajectory L in

, ea . ir “y “A W

“ “MODE J .

7 on LS . Commoditization * 4 ;

J Th oe g L

f me ae ° , Commoctiation

f Oe oe INFRASTRUCTURE

- — We

slide-013.jpg

OCR text:

Al agents are distributed systems. meee

Treat them accordingly. The future

. ‘ of Al won't

| ' | be won by

CORE TAKEAWAYS better

genio Pane * Firastructue must Besircty. prompts.

ee poblemtisenmastucure. ff | Itwillbe

" Mtidmensonlobeenabity s JF won by

v8 “"-“s Agent contro! planes are the : patter

: ms required runtime layer for systems. |

a _ Production Al. 4

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