trader score
+0.04
hit rate
57%
mean α
+0.01%
signals 14d
59
Grade = how their written analysis reads (A best). Trader score = how their last-20 timestamped calls performed vs SPY.
Their picks, scored
Across their last 14 scored bets: 57% hit rate, +0.01% mean alpha, trader score +0.04. Their last-14d mentions, direction-adjusted, have moved +0.2% since posting (mean over 1 mentions with price data).
Recent signals15receipts included
| date (PT) | ticker | author | sent | what they said | since then | receipt |
|---|---|---|---|---|---|---|
| 2026-08-28 | · | @emollick | · | Assesses GLM-5.3 positively while warning that open-weight models require model cards and red teaming. | · | tweet ↗ |
| 2026-08-28 | · | @emollick | · | Says generative video, image and music models are now practical creative tools for broader audiences. | · | tweet ↗ |
| 2026-08-27 | · | @emollick | · | Reports that H3 Max can generate reasonably high-quality AI video faster than its playback time. | · | tweet ↗ |
| 2026-08-27 | · | @emollick | · | Reports AI-generated fraudulent preprints using academics' names and anticipates improving paper factories. | · | tweet ↗ |
| 2026-08-27 | · | @emollick | · | Highlights research finding that task automation ability does not necessarily improve human augmentation. | · | tweet ↗ |
| 2026-08-27 | · | @emollick | · | Reports new research finding that small context differences make agentic-shopping choices unpredictable. | · | tweet ↗ |
| 2026-08-27 | · | @emollick | · | Warns against anthropomorphizing agents based on a time-pressured chain-of-thought study. | · | tweet ↗ |
| 2026-08-26 | · | @emollick | · | Challenges the assumption that AI productivity gains must take decades by citing rapid assembly-line deployment. | · | tweet ↗ |
| 2026-08-26 | · | @emollick | · | Warns organizations to strengthen cybersecurity before highly capable open-weight models become available. | · | tweet ↗ |
| 2026-08-26 | · | @emollick | · | Frames Moltbook as an early indicator of how autonomous agents communicate in real environments. | · | tweet ↗ |
| 2026-08-26 | · | @emollick | · | Predicts multi-agent scale will worsen explainability and require imperfect AI-based oversight. | · | tweet ↗ |
| 2026-08-26 | · | @emollick | · | Says AI capability, reliability and student adoption have advanced materially within six months. | · | tweet ↗ |
| 2026-08-24 | · | @emollick | · | Claims a referenced paper will materially change social science. | · | tweet ↗ |
| 2026-08-24 | · | @emollick | · | Argues state data-center bans barely affect AI progress and are not substitutes for broader policy. | · | tweet ↗ |
| 2026-08-24 | · | @emollick | · | Argues AI-impact expectations have swung too far from immediate transformation toward excessive delay. | · | tweet ↗ |
Grade is our human read-worthiness rating; trader score is a rolling 20-bet hit-rate/alpha composite — different things, often disagreeing. “Since then” is direction-unaware in the table; the summary line above adjusts for which way they leaned.