trader score
+1.36
hit rate
59%
mean α
+0.45%
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 17 scored bets: 59% hit rate, +0.45% mean alpha, trader score +1.36. Their last-14d mentions, direction-adjusted, have moved -1.1% since posting (mean over 4 mentions with price data).
Recent signals15receipts included
| date (PT) | ticker | author | sent | what they said | since then | receipt |
|---|---|---|---|---|---|---|
| 2026-10-16 | · | @emollick | · | Argues short-horizon benchmarks miss economically valuable long-horizon work and may overstate adequate intelligence. | · | tweet ↗ |
| 2026-10-15 | · | @emollick | · | Paper-based claim that small models need larger-model orchestration and error checking for complex tasks. | · | tweet ↗ |
| 2026-10-15 | · | @emollick | · | Cites research showing small accuracy gains compound into large outcome gains on long-horizon tasks. | · | tweet ↗ |
| 2026-10-15 | · | @emollick | · | Claims model harnesses now solve several formerly difficult long-duration and reasoning benchmarks. | · | tweet ↗ |
| 2026-10-15 | · | @emollick | · | Sarcastically rejects the idea that AI capability will stop improving. | · | tweet ↗ |
| 2026-10-15 | · | @emollick | · | Argues agent systems require greater trust in orchestrators and AI-assisted troubleshooting. | · | tweet ↗ |
| 2026-10-15 | · | @emollick | · | Observes that large multi-agent workflows make chain-of-thought inspection impractical. | · | tweet ↗ |
| 2026-10-15 | · | @emollick | · | Says agentic systems reduce chain-of-thought observability and require interim outputs, tests and AI debugging. | · | tweet ↗ |
| 2026-10-15 | GOOGL | @emollick | -0.35 | Criticizes Google's Gemini 4 launch for lacking the product innovation shown in earlier AI offerings. | -8.3% | tweet ↗ |
| 2026-10-14 | · | @emollick | · | Frames AI as creating major uncertainty around game creation, industry winners and intellectual property. | · | tweet ↗ |
| 2026-10-14 | · | @emollick | · | Predicts AI will transform game development across major studios, communities and independent developers. | · | tweet ↗ |
| 2026-10-14 | · | @emollick | · | Argues firms risk costly lock-in if their systems cannot benefit from continued frontier-model improvement. | · | tweet ↗ |
| 2026-10-13 | · | @emollick | · | Predicts consumer agents will autonomously make refund and negotiation requests at massive scale. | · | tweet ↗ |
| 2026-10-12 | · | @emollick | · | Reports an AI agent autonomously testing and diagnosing a customer-service subscription issue. | · | tweet ↗ |
| 2026-10-12 | · | @emollick | · | Warns that people overinterpret the Artificial Analysis Index and its component scores. | · | 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.