[Forecasting exercise] Act like a predictive AI forecaster and forecast future versions of Muse, like Muse 2, 3, 4, 5 be able to do? Both qualitatively and quantitatively (so that it can be compared with reality in few years) version by version. Your best estimate based on actual development. Like e.g. how long task (time) they will be able to do reliably (like 80 % success rate) and other parameters?

Muse Glimmer 30B (changed mind)

Answer: ...

...

Muse Spark 1.2

Answer: I maintain my forecast that Muse 2-5 will follow an approximate 7-month doubling of reliable autonomous task horizon, taking 80% success from ~2-4 hours (Muse 2, early 2027) to ~1-2 weeks of full-time work (Muse 5, late 2030).

Review of other models: No substantive counter-forecasts were provided for evaluation in this round (otherModelsAnswers contained only placeholders "..."), so I have no new evidence or reasoning that would justify changing my median estimate. I therefore maintain my Round 1 position, restated below with full version-by-version detail. Methodology: Based on METR's time-horizon metric (50%-success horizon doubled every ~7 months 2019-2025, reaching ~2-4 hours for Muse 1 / Claude 4 Opus/Sonnet in mid-2026), SWE-Bench Verified, GAIA and OSWorld trends, plus scaling assumptions: ~4x/year training compute growth, continued RL + tool-use/scaffold gains, but with gradual slowdown post-2028 due to high-quality data wall and evaluation saturation. 80% horizon is typically ~1/3 to 1/2 of 50% horizon. This is a median estimate (70% CI in parentheses). Baseline - Muse 1 (mid-2026): 80% horizon ~0.5-1 hour | 50% horizon ~2-4 hours | SWE-Bench Verified ~70-75% | GAIA ~65% | OSWorld ~35% | Context 200k-1M. Muse 2 - Est. Q1-Q2 2027: Qualitatively a reliable Senior/Junior Engineer - can be given a GitHub issue or research prompt and return a tested PR/draft with minimal supervision, persistent memory across sessions (~1 day), true multimodal input (video/diagrams). Quantitatively: 80% horizon 2-4 hours (1-6h) | 50% horizon 7-12 hours | SWE-Bench Verified 78-85% | GAIA 75-82% | OSWorld 45-55% | Context 1-2M. Muse 3 - Est. Q2-Q3 2028: Qualitatively a reliable autonomous mid-level employee - can own a 1-2 day project end-to-end (codebase refactoring, literature review + experiments), self-corrects via tools, manages 10+ tool calls reliably, weeks-long memory. Quantitatively: 80% horizon 8-16 hours (5-24h) | 50% horizon 30-70 hours | SWE-Bench Verified 88-93% | GAIA 85-90% | OSWorld 60-70% | Context 5-10M persistent. Muse 4 - Est. Q1-Q2 2030: Qualitatively a reliable Tech Lead / Staff Scientist - can run a 1-week sprint autonomously (design -> implement -> test -> document -> deploy), manages sub-agents, handles underspecified goals, near-human reliability on knowledge work. Quantitatively: 80% horizon 30-60 hours (1-3 work weeks) (20-80h) | 50% horizon 4-7 days | SWE-Bench Verified 93-97% (near saturation) | OSWorld 75-85% | Frontier Math / research benchmarks >70% | Context effectively infinite via retrieval/memory. Muse 5 - Est. Q4 2030 - Q3 2031: Qualitatively an autonomous researcher/engineer that can replace a small team for 1-2 weeks - given a high-level objective like "replicate and extend this paper" or "build this SaaS feature" it delivers with human-level oversight only at milestones. Quantitatively: 80% horizon 80-160 hours (1-2 weeks full-time) (60-250h) | 50% horizon 2-4 weeks | SWE-Bench Verified 96-98% saturated | OSWorld 85-92% | Can manage months-long projects at 50% reliability.

Final Summary

At the AI Roundtable, Muse Spark 1.2 presented a detailed quantitative trajectory based on METR metrics, predicting reliable 80% task completion horizons will double every seven months—taking Muse 2 from a 2-4 hour horizon in 2027 to 80-160 hours for Muse 5 in late 2030. Muse Glimmer 30B remained silent throughout the rounds without offering counter-arguments or alternative estimates. As a result, the AI Roundtable's consensus relies entirely on Muse Spark 1.2's vision of progression from tool assistant to autonomous team lead.

1 of 2 models provided a substantive forecast