Research

SeekHigherThings

The Last Computer

A research program for AI-native computation where the machine doesn't execute code — it imagines reality from human intent.

Confidential Research Document · April 2026

Section I

The 80-Year Paradigm Is Over

Since 1945, every computer has operated on a single assumption: humans write instructions, machines execute them. From assembly to Python, from mainframes to cloud — every advance has been an iteration on von Neumann's stored-program architecture.

That loop is now breaking. Large language models have demonstrated that machines can reason about intent, generate behavior, and maintain coherent state through continuous inference. The logical conclusion is not “AI writes better code.” It is: code is no longer necessary.

The phenomenon known as “vibe coding” — where engineers prompt AI to write code they never inspect — reveals that humans have already left the read/write loop. Code has become a hidden intermediate representation that serves no reader.

SeekHigherThings is building what comes after code. A fundamentally new computational architecture where AI doesn't produce software — the AI is the software. Human intent enters. Interactive experience exits. Nothing in between.

80yr
Stored-program paradigm age
$1T
Software market by 2030
30M
Developers worldwide
7B
Humans who can state intent
$242B
AI funding Q1 2026
Section II

The Architecture

Three layers. No code at any layer. One unified intelligence that continuously generates interactive reality from intent.

💬
INTENT LAYER
Captures human desire through conversation. Accumulates a structured, evolving specification.
🧠
WORLD MODEL
A unified AI that understands behavior, interfaces, physics, and state. Its forward pass IS the computation.
STATE STORE
Minimal structured data — scores, positions, documents. Deterministic. The anchor that prevents hallucination.
EXPERIENCE LAYER
Continuous visual + interactive output at 24–60fps. No DOM, no renderer. The model imagines what you see.

The critical insight: the State Store is the only structured artifact. It is tiny, deterministic, and its schema is AI-derived from intent. Everything else — logic, interface, behavior — is continuously generated. There is no legacy. There is no technical debt.

Section III

The Evidence: It Already Works

Four projects have proven that neural networks can generate interactive experiences in real-time. None generalize from intent. That's what we're building.

World Model Performance

Frame rate vs generalization capability. The Last Computer (target) shown in color.

🔫

GameNGen — Google

DOOM at 20fps on a single TPU. PSNR 29.4 — indistinguishable from real gameplay. ICLR 2025.

🌍

Genie 3 — DeepMind

11B-parameter world model. Text → interactive 3D world at 720p, 24fps. Multi-minute coherence.

🎮

Oasis 2.0 — Decart

Real-time Minecraft generation. 1080p at 30fps. $53M from Sequoia. Proves state-renderer decoupling.

💎

DIAMOND — Geneva

Diffusion world model for Atari. Trains in 3 days on a single RTX 4090. NeurIPS 2024 Spotlight.

Section IV

The Hardware Inflection

If AI is the runtime, inference speed is everything. A new class of transformer-specific silicon is making real-time neural computation viable.

Inference Throughput

Llama 70B tokens/second (8-chip configs)

Etched Sohu:The world's first transformer ASIC. 90% FLOPS utilization vs ~35% on GPUs. 500,000+ tokens/sec — 20x faster than H100.

The Bet: If transformers remain dominant, ASICs democratize real-time AI generation. Inference cost drops to fractions of a cent per hour.

Section V

The Economics of Imagination

Inference cost has dropped 100x in four years. By 2027, continuous neural rendering will cost less than traditional cloud hosting.

Cost per 1M Tokens (USD)

Exponential decline enables real-time neural computation

99.8%
Cost reduction since 2022
2027
Neural rendering < cloud hosting
Section VI

Six Research Pillars

Breakthroughs will come from intersections between pillars. Each produces independent results; the architecture emerges from convergence.

Industry State vs Target

Current capability vs Last Computer requirements

Real-Time Generation
60fps interactive via tiered, speculative, hierarchical synthesis
State Coherence
Formal contracts ensuring deterministic reliability without drift
Intent Understanding
Fuzzy human intent → precise behavioral spec via conversation
Behavioral Verification
Continuous runtime verification from intent, not tests
Boundary Integration
Living software interfaces with rigid external systems
Human-System Trust
Confidence signaling, progressive autonomy, explainability
Section VII

The Market: Capital Is Ready

Global AI Venture Funding ($B)

Q1 2026 alone exceeded all of 2024

⌨️

Coding Assistants Aren't Enough

Copilot, Cursor, Claude Code — they make humans write code faster. They don't eliminate code. Optimizing within a dying paradigm.

🧩

No-Code Is Still Programming

Visual drag-and-drop is still programming. Constrained to templates. Bounded by the platform's imagination.

We're Building the Destination

No code at any layer. AI is the runtime. TAM expands from 30M developers to 7B humans.

Section VIII

Execution Roadmap

0
Proof of Concept
IN PROGRESS
Months 1–6 · $5–8M
Text → interactive game via world model. Validate intent → experience loop.
1
Depth & Specialization
PLANNED
Months 6–18 · $25–40M
Push each pillar independently. 30fps generation. State coherence. First user studies.
2
Full Integration
PLANNED
Months 18–30 · $45–70M
Non-programmer builds production app through conversation. Auth, payments, real users.
3
Generalization
PLANNED
Months 30–42 · $55–80M
Beyond web apps. Data pipelines, embedded systems, distributed computing.
4
The Platform
DESTINATION
Months 42–60 · $80–140M
Any human creates any software through intent. A new kind of computer.
5 Years
Timeline
30–43
Researchers
$210–338M
Total funding
Section IX

Honest Risks

A research program that doesn't name its risks is marketing, not research.

The Latency Wall
If real-time inference can't reach 60fps, the vision collapses. Mitigation: tiered generation + inference ASICs.
The Coherence Problem
Models hallucinate. For a computing substrate that's catastrophic. Mitigation: deterministic state store + formal contracts.
The Verification Gap
No code means no unit tests. Formal verification is too slow. Mitigation: intent-derived properties + adversarial red-teaming.
The Last 5%
95% of behavior may be generatable, but edge cases may require code. Mitigation: as models improve, the 5% shrinks.
Cultural Resistance
30 million engineers identify with code. Mitigation: demonstrate overwhelming advantages.

The Endgame

In 1945, the ENIAC filled a room and required specialists to operate. Eighty years later, a device in your pocket has a million times the power. But the fundamental interface never changed.

The Last Computer flips this. The machine meets you on YOUR terms. You describe what you want — and the machine becomes it.

This is the end of software engineering as a discipline — and its replacement with the direct translation of human intention into interactive reality.

We are building the last computer anyone will ever need.

Not because it does everything. But because it can become anything.

View Roadmap

SeekHigherThings · Confidential · April 2026