GPT-5.6 Sol Preview
OpenAI's GPT-5.6 preview introduces Sol as a next-generation frontier model, with Terra and Luna positioned as lower-cost members of the same family.
Selected frontier signal
A living map of compounding machine intelligence
Track the systems that could make AI progress self-accelerating.
ASI Research connects frontier models, autonomous agents, automated AI R&D, scientific discovery, evaluation, and control—showing what works, what remains unproven, and what to watch next.
For the curious: understand the roadmap. For researchers: find the next credible problem.
- Signals mapped
- 33
- Open code
- 7
- Research areas
- 6
- Assurance signals
- 8
Research map / 06 areas
Follow the loops, not the hype cycle.
Every entry is placed by the mechanism it helps explain. The map makes adjacent work visible—from raw capability to the systems that test and steer it.
012 signals
Foundations & pathways
How might capable general systems cross into superintelligence?
Open area 025 signalsFrontier models
Which capability gains change the shape of long-horizon work?
Open area 037 signalsAgents & self-improvement
Can agents reliably improve the systems that produced them?
Open area 046 signalsAutomated AI R&D
When does research automation become a compounding loop?
Open area 055 signalsAI for science
Where are AI systems already closing real discovery loops?
Open area 068 signalsEvals, control & governance
How do we make accelerating capability legible and steerable?
Open areaStart here
Three ways into the field.
01 / Orient
New to the ASI landscape
Start with definitions, plausible pathways, bottlenecks, and the research agenda connecting them.
Follow the canonical roadmap → 02 / BuildEngineering improvement loops
Trace systems that edit code, search architectures, preserve stepping stones, and validate their own gains.
Study working systems → 03 / SteerEvaluating and controlling deployment
See how measurement, assurance, security, and governance can keep pace with accelerating capability.
Map the assurance layer →Current signal
What changed at the frontier.
Selected frontier signal
Recent source dates
Recent at the frontier.
ASI Technical Radar: Compounding Intelligence
A curated map of the papers, model drops, benchmarks, and research systems that matter most for building ASI: post-AGI pathways, recursive self-imp...
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Notes Toward Sensible ASI Governance
Governance for ASI should make fast development more legible, reliable, and deployable: measurement, evaluations, incident learning, and standards ...
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GeneBench-Pro
A genomics and biology benchmark from OpenAI for evaluating AI performance on complex scientific research tasks and datasets.
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Gemini Omni Flash
Gemini Omni Flash is a public-preview multimodal model for high-speed video generation and conversational video editing through the Gemini API.
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Claude Science
Anthropic's Claude Science is an AI workbench for scientists that integrates research tools, produces auditable artifacts, and connects to compute.
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Claude Fable 5, Mythos 5, and Sonnet 5
Anthropic's June 2026 model wave includes Claude Fable 5, Mythos 5 for approved defensive cyber workflows, and Claude Sonnet 5 for broad agentic use.
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Briefings
Build the model behind the map.
Essays and living guides connect individual signals into a usable view of the field.
Read all briefings →
Essay · 06 Jul 2026
Why This Site Exists
The case for optimism, and a catalog to build it on.
Living guide · Technical ASI Technical RadarA structured route through the mechanisms that could make intelligence compound.
Living guide · Governance Notes Toward Sensible ASI GovernancePrinciples for making progress measurable, reliable, and governable.
Research standard
Primary sources first.
Code linked where public.
Claims separated from inference.
Read the method →