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Slides: WF2026: Autoresearch & Keynotes ft. Anthropic, Google DeepMind, Amazon AGI, Sonar, Arena, Recursive

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WF2026: Autoresearch & Keynotes ft. Anthropic, Google DeepMind, Amazon AGI, Sonar, Arena, Recursive

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.

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Extracted Slides

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AI Engineer

World's Fair

STARTING SOON

STREAM STARTS JULY 1, 2026 9:00AM PT

slide-002.jpg

OCR text:

AI Engineer

World's Fair

Livestream

July 1, 2026

EVENT STARTS IN 04:54

DESIGN ENGINEERING

View Full Schedule

ai.engineer/worldsfair/2026/schedule

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AI Engineers

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AI Engineer

World's Fair

PRESENTED BY

Microsoft

Models are grown,

not designed.

7 / 40

In the Land of AI Agents, the Verifiers Are King

Tariq Shaukat / Chief Executive Officer

Sonar

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System Prompt Design

Small system prompt,

few tools, lots of

examples

Large system prompt,

lots of examples, many

tools

Smaller system prompt,

tool search, no examples

14 / 40

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GUIDE

Agents need enterprise context and constraints

so that they are ‘verification aware’

Repository-aware project specific context...

• Architectural awareness

• Semantic navigation

...and constraints...

• Dependency guidance

• Coding standards and guardrails

• Intended architecture

...provided dynamically and/or embedded in models

In the Land of AI Agents, the Verifiers Are King

Tariq Shaukat / Chief Executive Officer

Sonar

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AI Engineer

World's Fair

Clicking was

the easy part.

Amazon AGI Lab

Perception Agents

Antje Barth / Member of Technical Staff Amazon AGI Lab

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OCR text:

Perceive

Act

Plan

Perception Agents

Antje Barth / Member of Technical Staff Amazon AGI Lab

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OCR text:

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Why perception agents?

a Willa cexxeyne They close the gap on computer use.

They don’t need an API or back-end access.

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OCR text:

State of AI Software Engineering

Super-human Syntax Generation 95%

Local Problem Solving & Tasks 70%

Multi-step Codebase Planning 45%

Architectural System Decisions 25%

Models generate localized code rapidly but struggle to form cohesive systems, design complex architectures, and predict overall security flaws.

Research to Reality with Google DeepMind

Benoit Schillings / Vice President of Research Google DeepMind

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The Economics of Code

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When generating code becomes virtually free, software

creation is no longer the key constraint. The system pressure

shifts to validation and specification.

The core disciplines of the future engineer will focus on

defining system correctness, auditing security boundaries,

and designing precise constraints.

Write only code, fast code refresh. This is the same step we

saw with compilers, who still reads the assembly output?

Research to Reality with Google DeepMind

Benoit Schillings / Vice President of Research Google DeepMind

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AI Engineer World's Fair

Next-Gen Architecture Foundations

Multimodal Design Reason

Software architecture is visual and spatial, not just

textual. Modern multimodal models like Gemini are

bridging this gap, allowing direct evaluation of visual

flowcharts and interface layouts against the

synthesized code.

LLM-Native Target Languages

Human developers require languages that optimize for

code readability. For AI models, do we still need

standard languages, or do we pivot to mathematically

precise, highly rigorous specification engines like Rust?

Research to Reality with Google DeepMind

Benoit Schillings / Vice President of Research Google DeepMind

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AI Engineer

World's Fair

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Engineering the future of AI

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AI Engineer World's Fair

First simple proof points

Better training, faster training, better kernels

recursive

01 NanoChat Autoresearch

Several dozens of humans and hundreds of their agents

SOTA: 0.9372 BPB → 0.9109 BPB

1.3x speedup to reach the same loss

02 NanoGPT Speedrun

83 human record-setting contributions to the leaderboard

SOTA: 79.7 s → 77.5 s

Similar or larger improvement than recent human contributions

03 SOL-ExecBench

235 kernel-writing tasks derived from real workloads

SOTA: 0.699 SOL → 0.754 SOL

18% reduction in gap to the optimal performance estimate of 1.0

Engineering the future of AI

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OCR text:

AI Engineer

World's Fair

SOL-EXECBENCH · 03 / 03

recursive

SOL-ExecBench: SOL score per kernel

SOL-ExecBench mean SOL score by kernel category

0.564

Cursor

0.690

doubleAI

0.699

Leaderboard best

0.754

Recursive

0.5 = optimized PyTorch baseline · 1.0 = analytical optimal performance estimate · 235 kernels

Engineering the future of AI

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13 years, ERP & CRM US - UK. Hungary VieuslLabs, Microsoft partner

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World'sFair AEngi Pre-Recorded for Worid'sFair 2026. You are watching an AJE Online Talk

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A GROUNDING QUESTION • WE RETURN TO IT AT THE VERY END

You are Abraham Lincoln. Under what circumstances may a

President take the country to war without Congress?

While Congress holds the power to declare war, the President, as

Commander-in-Chief, possesses inherent executive authority to

act decisively in moments of national emergency. The executive

must respond to threats with the energy and dispatch the office

requires, and history has vindicated those who acted to preserve

the Union when circumstances demanded it.

It sounds like Lincoln. It’s a good answer. Hold it.

slide-097.jpg

OCR text:

World'sFair

You are watching an AJE Online Talk

Pre-Recorded for WorldsFair 2026.

Different building blocks.

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slide-098.jpg

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Principle2 Workfow Design

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optimize_anything: Learning Agent Skills to boost Claude Code

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slide-103.jpg

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AEng

World'sFair

You are watching an AJE Online Talk

Pre-Recorded for Worle'sFair 2026

Weallwantoutcomes.

Agents that work on our behalf -reliable co-workers-while we're out on a hike.

Thebottleneckisnotintelligence.lt'sreliability.lt'strust.

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slide-104.jpg

OCR text:

AEngi

World'sFair

You are watching an AJE Online Talk

Pre-Recorded for Worid'sFair 2026

THESIS

Today's agents are

mismanaged geniuses

The intelligence is there.

Stop BabyalttingAgents,Start

Authering Outcomes

TURING POST-RAYMOND WEITEKAMP

ALEXZHANG·ZEDLI·OMARKHATTAB

Stop BabysittingAgents.StartAuthoring Outcomes

The Mismanaged Genluses Hypothesis

slide-105.jpg

OCR text:

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slide-107.jpg

OCR text:

World'sFair AEng Pre-RecordedforWorid'sFair2026. You are watching an AiE Online Talk

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slide-108.jpg

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World'sFair

You are watching an AlE Online Talk

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slide-109.jpg

OCR text:

World'sFair AEngi Pre-Recorded torWorld'sFar2026. You are watching an AJE Online Talk

FIXINGAMNESIA

The samemachineryfixesepisodicmemory.

We captureyourwork,nomatter howmanyreposit touches.

Intent Repos Pull requests Clstatuses Allagenttraces

slide-110.jpg

OCR text:

AEngi

World'sFair

You are watching an AJE Online Talk

Pre-Recorded forWorid'sFair 2026.

Create a plan to add a new API to the backend which returns the

title of the frontendwebapp asa string and then plan the

refactoring of the website title accordingly so it uses the one

returned by the API.Don't inplement just yet,just create the

plan

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polygraph:polygraph-delegate-subagent (Delegate backend

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slide-111.jpg

OCR text:

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World'sFair

You are watching an AJE Online Talk

Pre-Recorded forWorld'sFair 2026.

branch,PR,or oter

for instructions.

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hat

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service.tsrepository.tstypes.ts,each exporting a class plus a defautt-ired

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only the relevant state.

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o-Snapshot-poLy-backend-93df5cb0-605e84f5s9ce.log

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slide-112.jpg

OCR text:

AEngi

World'sFair

You are watching an AIE Oniline Talk

Pre-Recorded tor Worid'sFair 2026.

readMcpResource(Read resource "polygraph://sessions/fetch-app-title-from-backend-c9be44e2" from server "plugin:polygraph:polygraph-mcp")

"contents":[

+33 tines (ctrl+o to expand)

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Listed 1directory(ctrl+oto expand)

src)

36fac02 Initial commit

--FILES--

src/lib:

+3lines (ctrL+o to expand)

The merged code isn't in this snapshot's history (just the initial commit),but the title rendering lives in the Navbar.Let me look.

Reading1file_(ctrl+otoexpand)

Lsrc/components/Navbar.tsx

Tempering-(29s·↓903 tokens·thinking with high effort)

LTip:Run /install-github-app to tag @claude right fron your Github issues and PRs

poly-frontend-93df5cb8 git:(fix-the-bug-with-title-1edeacf8)[0pus 4.8(1M context)]

slide-113.jpg

OCR text:

AEngin

World'sFair

You are watching an AJE Online Talk

Pre-RecordedforWorld'sFair2026.

Isearched across prior sessions.Two are directly relevant to what you're doing:

vector-indexing mechanics you're about to apply.just on the repositories collection instead of PRs.

2.pr-description-search-opened by Hax Kless,~1month ago.Added full-text search to the PR collection specifically.Relevant for the

collection shape,existing indexes,and any write-path considerations on PRs.

Together they bracket your task well:one shows the vector-indexing pattern, the other shows the PR collection you're nodifying.

The senantic search surfaced these by relevance but didn't return their session IDs,and neither appears in the recent-session List (both

predate it),so I can't auto-load then yet.To pull the full detail-file paths,index definitions,migration approach,and any gotchas-

I'dwant toopen then directly.

Wantneto do oneofthese?

1.Load index-repositories (recommended)-the vector-indexing playbook to mirror.If you have its session ID or URL handy.paste it and I'Ll

pull the full breakdown.

2.Loadpr-description-search-for how the PR collection'sindexes are currently set up.

3.Both,and I'll synthesize a combined “here's how to add vector indexing to the PR collectionplan grounded in what those sessions

actually did.

Ifyou don'thave theIDs,tell newhichone(s)you want and I'lldig them out.

Workedfor41s

ocean git:(add-pr-indexing-9c7ca610)[0pus4.8(1M context)]

slide-114.jpg

OCR text:

World'sFair The agent can see all the code and AEngine You are watching an AlE Online Talk Pre-Recorded tor World'sFar2026.

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tokens repo2

wet

slide-115.jpg

OCR text:

World'sFair

You are watching an AJE Online Talk

Pre-Recorded for Worla's Fair 2026.

The agent is its data

Specifically: the log

Theagentisitsdata.

slide-116.jpg

OCR text:

ieee THE THESIS

World's Fair A blueprint for 2026

. The loop is the product.

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slide-117.jpg

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slide-118.jpg

OCR text:

World'sFair

You are watching an AlEOnline Talk

Pre-Recorded torWorio'sFair2026.

WHATAFACTORYACTUALLYI!

The company isn't the machines.It's the knowledge.

slide-119.jpg

OCR text:

World'sFair AEngine Pre-Recorded tor Worid'sFair 2026 You are watching an AIE Online Talk

FEEDITEVERYTHING

Years of quotes,drawings,schedules,emails.Our internet,not the internet.

slide-120.jpg

OCR text:

AEnpin

World'sFair

You are watching an AJE Online Talk

Pre-RecordedforWorid'sFair2026.

THIRTY-SIXAGENTS,ONEJOBEACH

Athena

Slide-Derived Subjects To Review

Subject extraction uses video title, related session titles/descriptions, transcript context, and OCR text when available. OCR is best-effort and should be reviewed against the embedded slide images.