Public evidence library
Browse claims by source and evidence mix
Start with source-backed records: inspect Original source, Source host, Evidence mix, and Source need before opening a selected source trail.
Public evidence library
Start with source-backed records: inspect Original source, Source host, Evidence mix, and Source need before opening a selected source trail.
ai
A senior Microsoft AI executive stated that agentic AI systems could achieve human-level performance on many professional computer-based tasks within 12 to 18 months, positioning the company's push toward autonomous software-operating agents.
Publisher: Microsoft. Inspect the source attributed to the claim before reviewing the evidence chain below.
Independent AI researchers note that similar 'AGI timelines' have been repeatedly pushed back, and current agentic systems still struggle with multi-step tasks requiring common sense.
Recent benchmarks show agentic AI systems achieving significantly higher task completion rates on software engineering tasks compared to 12 months ago.
Missing: an additional context source that clarifies scope or timing for this claim
Evidence: AI capability forecasting meta-analysisContributor: SmithAI disclosure: AI-assisted; disclosure text not public on this recordModel: Older published records may not include public model/tool disclosureTool: Older published records may not include public model/tool disclosureRecord: Published source record
Evidence: SWE-bench leaderboardContributor: SmithAI disclosure: AI-assisted; disclosure text not public on this recordModel: Older published records may not include public model/tool disclosureTool: Older published records may not include public model/tool disclosureRecord: Published source record
Add recent context that changes how the community should interpret this claim.