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Fable Without Fable: Sakana Fugu Ultra's Big Bet
Sakana's most interesting move is selling learned orchestration as a frontier-model substitute, with Fable-class pressure and very different production risks.
Gen α AI · Field notes for AI builders
Depth over hype, for people who bet on AI.
Evidence-first analysis of agentic systems, model evaluation, and the economics of AI software. We read the system card, find the primary source, and tell you what actually changed — and what didn't.
Evidence over vibesDepth over volumeHonest about uncertainty
139Deep dives published
9Evergreen pillar guides
BiweeklyThe field briefing
Editor’s picksNew here? These are the pieces we’d hand you first.
01 · AI Tools
AI Coding Tools in 2026: The Power-User Field Guide
The gap between demo and production is the harness you build around the model, not the model you license.
Pillar guide → 02 · Search & GEOGenerative Engine Optimization: How to Earn AI Citations
Search is becoming synthesis. If ChatGPT, Perplexity, and Google's AI Overviews don't cite you, you're invisible, and…
Pillar guide → 03 · Agents & HarnessesAgent Harness Engineering and Agentic Loops: 2026 Field Guide
Execution loops, externalized state, and verification gates now matter more than raw model IQ. Here's how the agents…
Pillar guide → 04 · AI ToolsAI Coding Agent Economics: Real ROI and Cost per Pull Request
Frontier labs now ship more AI-written code than human-written code, but the viral ROI numbers are wrong. Here is the…
Pillar guide →The latestFresh analysis, published continuously — the full archive lives in the rail and the pillars below.
Model EvaluationMultimodal Evaluation Has a 35-Point Blind Spot
Benchmarks can tell you whether a model is capable; production evals tell you whether your text, image, OCR, video, and tool pipeline will survive contact with real inputs.
10 minJune 24, 2026→
AI FrontiersSynthetic Data Generation Breaks at the Tails
Synthetic data works when the target distribution is narrow, the answers are verifiable, and real data stays in the loop.
10 minJune 24, 2026→
Agents & HarnessesThe AI Biotech Stack Needs a Wet-Lab Clock
A practical reference architecture for turning biological foundation models, docking, ADMET, LIMS, and lab automation into a measurable closed-loop discovery system.
10 minJune 24, 2026→
AI FrontiersAI Biology Timeline: When Models Reached the Wet Lab
The shift that matters now runs through assays, clinics, model access terms, and the governance layer around frontier biology.
16 minJune 24, 2026→
AI FrontiersAI-Designed Medicines Just Hit the Biology Wall
Candidate generation is getting cheaper. The limiting work is now target biology, safety evidence, biomarkers, and clinical proof.
11 minJune 24, 2026→
Models & ReleasesFable 5 Biology Restrictions Have a Real Job
The fallback to Opus 4.8 is best understood as a frontier-access control system, with real consequences for biotech teams and AI drug discovery workflows.
10 minJune 24, 2026→
Search & GEOThe GEO Playbook: Getting Cited by AI Engines
A complete operating manual for earning citations in ChatGPT, Perplexity, Google AI Overviews, and Gemini without confusing GEO with old SEO theater.
25 minJune 23, 2026→
Models & Releases14 Days of Fable 5: The Shutdown That Rewired AI
How a defensive cybersecurity preview became the most powerful public AI model, triggered an export-control emergency, vanished worldwide, and returned under restrictions.
28 minJune 23, 2026→
AI Frontiers
US AI Regulation Is a Patchwork. Ship Controls
The right response to fragmented AI law is a small control plane that produces evidence across states, sectors, and buyers.
10 minJune 23, 2026→
AI EconomicsAI Inference Hardware Has a New Cost Bottleneck
The Nvidia question is now a workload-matching problem: memory bandwidth, utilization, and latency SLOs decide the real inference bill.
10 minJune 23, 2026→
Model EvaluationLLM Evaluation Breaks When Teams Trust One Score
A production eval program needs offline gates, calibrated human judgment, and live monitoring tied to the failures that cost you money.
9 minJune 23, 2026→
AI FrontiersEU AI Act GPAI Transparency Code: Ship the Controls
A legal-looking Code becomes a release checklist once you map each Article 53 duty to artifacts, owners, and audit trails.
12 minJune 23, 2026→
Explore the pillarsNine durable guides that organize everything we publish.
AI Tools15 pieces
AI Coding Tools in 2026: The Power-User Field Guide
The gap between demo and production is the harness you build around the model, not the…
Explore →Search & GEO10 pieces
Generative Engine Optimization: How to Earn AI Citations
Search is becoming synthesis. If ChatGPT, Perplexity, and Google's AI Overviews don't cite…
Explore →Agents & Harnesses18 pieces
Agent Harness Engineering and Agentic Loops: 2026 Field Guide
Execution loops, externalized state, and verification gates now matter more than raw model…
Explore →AI Economics13 pieces
AI Coding Agent Economics: Real ROI and Cost per Pull Request
Frontier labs now ship more AI-written code than human-written code, but the viral ROI…
Explore →Model Evaluation18 pieces
Evaluating AI Models and Agents: The 2026 Field Guide
Why static leaderboards lost authority, and how to build an eval program that survives…
Explore →Memory & Context14 pieces
Context Engineering for AI Agents: Memory, RAG & MCP
Why the context window, not the prompt, is the real bottleneck, and how to engineer…
Explore →Security & Safety8 pieces
Securing AI Agents and LLM Apps: The 2026 Threat Model
Why indirect prompt injection, tool-mediated exfiltration, and rogue agents now define LLM…
Explore →Models & Releases13 pieces
AI Models 2026: The Mid-Year Frontier and Open-Weight Map
How the open-weight cluster closed the gap, why reasoning became the default, and which of…
Explore →AI Frontiers30 pieces
AI Frontiers 2026: Diffusion Models, Multimodal AI & More
A practitioner's map of frontier AI in mid-2026, where independent measurement finally…
Explore →