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🤖 In-silico materials discovery cracks cheap battery chemistry

We understand almost none of the periodic table, and machine learning applied to materials search finds combinations no human would guess. Chamath's disclosed venture points ML at cheap LFP chemistry to give it NMC/NCA energy density by doping it with 'all kinds of random stuff you would have never guessed in a million years' - he says they are finding real breakthroughs and just raised money on it. If computational materials search works, the cheap end of the battery complex re-rates and the binding constraint becomes compute and experiment cycle time.

0 CONVICTION
peaked 48.9 WATCH
DORMANT
band
▲ LONG LIT
expression · bullish tech
MISS
outcome · R -38.7% · α -60.7%
2024-07-27
window closed
⚠ CONFLICTING IDEA ON THE SAME TICKER — the board is arguing with itself; net it before trading (ticker view →)
NVDA · Nvidia risk: special-purpose silicon + Huawei SHORT DORMANT 10.4 ← stronger than this idea (7.5)

also touching these tickers, same direction: AI compute capex supercycle has 12-24 months of runway 87 (NVDA) · Nvidia + Hugging Face makes NVDA the open-source AI champion 58 (NVDA)

⚖ Why this verdict

fully deterministic — evaluate.py replays this from daily closes; nothing below is editable or hand-set

  1. Window: 2023-07-27 → 2024-07-27 — first mention + 12-month horizon, then the window locks.
  2. The call: ▲ LONG LIT (primary play). LIT fell 38.7% over the window → direction-adjusted R = -38.7% (the call lost money).
  3. Benchmark: holding SPY over the same window returned +22.0%α = -38.7 − (+22.0) = -60.7% — what this call made or lost against just owning the index. This is the number the verdict uses.
  4. Rule fired:
    · HIT — R ≥ +10% AND α ≥ +5
    · PARTIAL — R ≥ +5% OR α ≥ 0
    ▶ MISS — everything else
  5. Credit: supporters of a MISS earn 0 each, opposers the inverse — this feeds the scoreboard weights. supported: Chamath, Friedberg | proxy-sensitive: NVDA→HIT (+146.4%)

Conviction timeline

bands: green ≥ 65 · watch ≥ 45 · ember ≥ 15

Plays vs SPY · % since first mention (2023-07-27)

Plays

expressionsymbolkindrelevancerationale
▲ LONG LITetf PRIMARY lithium and battery-tech cohort, the concrete application Chamath funded
▲ LONG ALBstock adjacent lithium and cathode-materials supplier levered to cheap-chemistry cells scaling
▲ LONG NVDAstock adjacent the compute layer doing the in-silico materials search

Mention log

Chamath
Chamath tech w=0.90 · n=83 · E139 (2023-07-27) · positioning · strength 3 ▶ 1:08:01 SUPPORT
“And what we're finding is, holy shit, like we don't know anything. And there are these like really big breakthroughs, one which we'll probably announce in like the next few weeks because we just raised a bunch of money around this idea.”
Friedberg
Friedberg tech w=1.08 · n=65 · E139 (2023-07-27) · sentiment · strength 2 ▶ 1:09:22 SUPPORT
“This Korean team did is they had a separate paper that they published talking about the demonstration of using AI to try and be predictive around quantum mechanics, which is something that people said we can't really do quantum modeling until we get quantum computers.”

Who built this conviction

each voice's total force on the score — supports and opposes from every mention, weighted exactly as the replay applied them · share = % of all mention-driven movement

Chamath
Chamath w=0.90
1 scoring event · 67% of moves
+32.5 → net +32.5
Friedberg
Friedberg w=1.08
1 scoring event · 33% of moves
+16.3 → net +16.3

⏳ decay drained -41.4 over the idea's life — that's time passing, attributed to no one

Score events

episodekindΔafternote
E139 2023-07-27 init +32.5 32.5 E139 born by Chamath (positioning x3) [w=0.90]
E139 2023-07-27 reinforce +16.3 48.9 E139 Friedberg support x2 (new voice) [w=1.08]
E140 2023-08-04 decay -2.0 46.9 E140 silent
E141 2023-08-11 decay -1.9 45.0 E141 silent
E142 2023-08-18 decay -1.8 43.2 E142 silent
E143 2023-08-25 decay -1.7 41.5 E143 silent
E144 2023-09-01 decay -1.7 39.9 E144 silent
E146 2023-09-22 decay -1.6 38.3 E146 silent
E147 2023-09-29 decay -1.5 36.7 E147 silent
E148 2023-10-07 decay -1.5 35.3 E148 silent
E149 2023-10-13 decay -1.4 33.8 E149 silent
E150 2023-10-20 decay -1.4 32.5 E150 silent
E151 2023-10-27 decay -1.3 31.2 E151 silent
E152 2023-11-03 decay -1.2 29.9 E152 silent
E156 2023-12-08 decay -1.2 28.8 E156 silent
E157 2023-12-16 decay -1.1 27.6 E157 silent
E158 2023-12-23 decay -1.1 26.5 E158 silent
E159 2023-12-29 decay -1.1 25.4 E159 silent
E160 2024-01-06 decay -1.0 24.4 E160 silent
E161 2024-01-13 decay -1.0 23.4 E161 silent
E162 2024-01-19 decay -0.9 22.5 E162 silent
E163 2024-01-26 decay -0.9 21.6 E163 silent
E164 2024-02-02 decay -0.9 20.7 E164 silent
E165 2024-02-09 decay -0.8 19.9 E165 silent
E166 2024-02-16 decay -0.8 19.1 E166 silent
E167 2024-02-23 decay -0.8 18.3 E167 silent
E168 2024-03-01 decay -0.7 17.6 E168 silent
E169 2024-03-08 decay -0.7 16.9 E169 silent
E170 2024-03-15 decay -0.7 16.2 E170 silent
E171 2024-03-22 decay -0.6 15.6 E171 silent
E172 2024-03-29 decay -0.6 15.0 E172 silent
E173 2024-04-05 decay -0.6 14.4 E173 silent
E174 2024-04-12 decay -0.6 13.8 E174 silent
E175 2024-04-19 decay -0.6 13.2 E175 silent
E176 2024-04-26 decay -0.5 12.7 E176 silent
E177 2024-05-03 decay -0.5 12.2 E177 silent
E178 2024-05-10 decay -0.5 11.7 E178 silent
E179 2024-05-17 decay -0.5 11.2 E179 silent
E180 2024-05-24 decay -0.4 10.8 E180 silent
E181 2024-05-31 decay -0.4 10.4 E181 silent
E182 2024-06-07 decay -0.4 9.9 E182 silent
E183 2024-06-14 decay -0.4 9.5 E183 silent
E184 2024-06-20 decay -0.4 9.2 E184 silent
E185 2024-06-29 decay -0.4 8.8 E185 silent
E186 2024-07-04 decay -0.4 8.4 E186 silent
E187 2024-07-12 decay -0.3 8.1 E187 silent
E188 2024-07-19 decay -0.3 7.8 E188 silent
E189 2024-07-26 decay -0.3 7.5 E189 silent