Market calls / Timestamped · scored on resolution · never deleted
Directional calls with a date on them, graded when they resolve.
Conviction, timeframe and a public grade on every one.

- Calls
- 13
- Live
- 13
All time
| Cover | Stance | Ticker | Thesis | Conviction | Outcome |
|---|---|---|---|---|---|
![]() | LONG | — | Parameter Scaling Is Dead. Multi-Dimensional Scaling Is the New Paradigm.AI scaling has moved from raw parameter count to four memory-hungry dimensions — inference-time compute, MoE, data curation, architecture — making memory bandwidth the universal bottleneck. | High · 1Y | Active · opened Apr 13 |
![]() | LONG | — | Inference Costs Will Fall 90% by 2028 — The Memory Stack Is the MechanismFour independent memory-stack improvements — HBM4, KV-cache compression, optical interconnect, and architecture — could compound to a ~10x fall in per-token inference cost by 2028. | Med · 3Y | Active · opened Apr 13 |
![]() | LONG | — | BTC Miners Pivoting to AI Infrastructure: The Power ArbitrageBitcoin miners already hold the power, cooling, and space AI needs — mining revenue is expected to fall from 85% to under 20% of total as they convert to AI hosting. | High · 1Y | Active · opened Apr 13 |
![]() | WATCH | — | Transformer Successors: State-Space Models and Linear Attention Are Worth WatchingTransformers' quadratic memory scaling is the KV-cache problem. State-space and linear-attention models scale linearly — hybrids blending both look like the likely path. | Med · 3Y | Watching · since Apr 13 |
![]() | LONG | LITE | Lumentum: The Optics Play That Bridges Power and Memory60% of data center energy is data movement — Lumentum's optics solve this directly | Med · 1Y | Active · opened Apr 13 · +1.2% to last Friday close |
![]() | LONG | — | KV Cache Compression Will Cut Inference Costs 50% Before HBM4 Ships at ScaleKV caches are AI inference's biggest bottleneck. Software compression (6x cited) is shipping faster than HBM4 hardware — and will drive the cost collapse of 2026-2027. | Med · 1Y | Active · opened Apr 13 |
How calls are graded
A call locks at publication — direction, conviction, timeframe and target are timestamped and can’t be edited. Resolution is mechanical: the stated direction against the realized move. Accuracy breakdowns, calibration and the resolved feed live on the track record. Method details: methodology · the open book.





