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From early neural networks to ASI

Nodes are capabilities. Points are events. AGI and ASI are open questions, not release dates.

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2026 · Selected milestone

Autonomous task execution

In 2025–2026, models combined reasoning with search, code, files and application control. They can now receive a multi-step task, not just a question.

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Related directions · 2Digital agents →Software development →

Milestone events · 12

GPT-6 Astra: computer useGemini 3.8 Flash: agentic workFable 5.1: sustained projectsLonger work in a productClaude Sonnet 5
Show more · 7Claude Fable 5Designing agent workflowsAgent2AgentAn agent platformAutonomous task horizonModel Context ProtocolReasoning as a separate mode
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6%
ORIGINS · 19431986Perception+1Transfer+2Context+2Instructions+1Multimodality+2Reasoning+2Autonomy+2ObstacleLearning from experienceAgents already preserve files, notes and history between tasks. Reliably turning experience into new skills without losing earlier ones remains an open problem.ObstacleReliable autonomyAn agent must detect mistakes, respect access boundaries and let people intervene. Passing a particular test does not make it reliable in every setting.ObstacleActing in the physical worldA model can describe an action, but the real world requires continuous perception, physical reasoning and correction before errors become irreversible.ObstacleCompute and power bottleneckAI capability is constrained by more than algorithms. Chips, memory, data centres, electrical grids and cooling determine which models can be trained and how many runs the economy can sustain.AGICONVERGENCEASIHYPOTHESISMemory and contextWorld modelsDigital agentsSoftware developmentAI in scientific research
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Memory and context World models Digital agents Software development AI in scientific research