Why has progress on Deep Research products stalled?

Reddit r/singularity News

Summary

An analysis questioning why progress on Deep Research AI products has stalled since their impressive launch in February 2025, noting that known weaknesses like hallucinations and unreliable source verification persist despite incremental improvements.

Deep Research launched Feb 2025 and felt like a real step change. Every lab shipped their own version within months. Since then, the changes seem mostly incremental: a newer base model, MCP connectors, source restrictions, nicer report UI. Useful, but not another step change. What strikes me is that the known weaknesses from the launch post — hallucinated facts, trusting sketchy sources, poor uncertainty calibration — still show up in third-party benchmarks over a year later. The reports are impressive but you still have to verify everything, which eats most of the time savings. Is this a hard capability wall (telling good sources from confident SEO junk might just be really hard)? Did the labs shift focus to general agents and browsers, leaving research modes as a maintained feature rather than a frontier? Or is progress happening but invisible (fewer hallucinations and better source picking don’t demo well)? So why has progress on this front stalled?
Original Article

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