Gavin Baker

Gavin Baker

regular guest ×1.0 · 48 ideas engaged · 8 episodes · E206 → E285
ChamathJasonSacksFriedbergAaron LevieBen ShapiroBill GurleyBrad GerstnerCyan BanisterElon MuskJoe LonsdaleKeith RaboisRyan PetersenThomas LaffontTravis Kalanick
0.71
credit over 34 calls how this is scored
21/6/7
right / half / wrong
-4%
avg α on scored calls α
14
live positions
+0
lifetime conviction force · 0 ideas born
2.17
avg strength · 20 dissents

Does his own confidence mean anything?

the same scored calls, split by how hard he was pushing at the mention that set his final stance. If credit rises with strength, his table-pounding carries information and you should weight it. If it's flat or inverted, his confidence is noise — treat a ×3 like a ×1. Cells under 5 calls are provisional and get no weight in the replay.

he wascallscreditright/half/wrongavg αread
×3 table-pounding 5 0.6 3/0/2 -63% better than coin flip
×2 stated with reasoning 27 0.7 16/6/5 -3% better than coin flip
×1 offhand aside 2 1.0 2/0/0 +124% provisional (n<5)

Which kind of claim to trust

by the tier of the mention that set his final stance — a dated prediction is a different animal from a passing lean, and they don't have to score alike

tiercallscreditright/half/wrongavg α
annual_prediction 2 0.5 prov. 1/0/1 +0%
explicit_prediction 20 0.7 11/6/3 -15%
sentiment 12 0.75 9/0/3 +13%

What he's actually good at

his row of the scoreboard — these are the exact cells rescore.py uses to weight his mentions. w = clamp(2 × credit, 0.3, 1.5), applied only at n ≥ 5.

⚡ energy n=2
1.0 provisional 2/0/0
🏛️ politics-market n=5
0.8 w=1.50 3/2/0
🤖 tech n=13
0.73 w=1.46 8/3/2
📈 equities n=9
0.67 w=1.33 6/0/3
🌍 macro n=2
0.5 provisional 1/0/1
🏦 rates n=2
0.5 provisional 1/0/1
🪙 crypto n=1
0.5 provisional 0/1/0

Live book — 14 positions

his latest stance on every ACTIVE idea. Expression = what he is effectively long or short: supporting a bearish idea is a SHORT, opposing one is a LONG.

ideahis stanceexpressionconvictionflageval in
🤖 AI compute capex supercycle has 12-24 months of runway support ×3 ▲ LONG NVDA 86.6 MOVING 346d
📈 SpaceX post-IPO: multiple ways to win from $1.4T support ×2 ▲ LONG SPCX 84.0 EARLY 1013d
📈 SaaSpocalypse is overdone for compliance-moat enterprise software support ×2 ▲ LONG IGV 71.0 EARLY 332d
🤖 Anthropic IPO (~Oct 2026) is attractively priced at $1.5-2T CONTESTED support ×2 ▲ LONG GOOGL 53.9 EARLY 177d
⚡ Natural gas powers the AI datacenter buildout support ×2 ▲ LONG GEV 51.0 RUNNING 388d
📈 DRAM/HBM: the bottleneck that matters support ×3 ▲ LONG MU 44.9 472d
🤖 Meta becomes America's open-source AI champion CONTESTED oppose ×1 ▼ SHORT META 26.7 338d
🤖 Frontier AI labs keep durable premium pricing (not commoditized) CONTESTED support ×2 ▲ LONG MSFT 26.6 177d
🪙 Decentralized AI compute (Bittensor/TAO) support ×2 ▲ LONG cg:bittensor 25.3 205d
🌍 The debasement trade: USD is 2026's worst asset CONTESTED oppose ×2 ▲ LONG UUP 17.0 122d
🏛️ DOGE delivers real federal spending cuts under unified Republican control CONTESTED support ×2 ▼ SHORT BAH 16.0 59d
🤖 Independent frontier-model labs lose to hyperscaler capital CONTESTED support ×2 ▲ LONG MSFT 14.0 110d
🤖 Nvidia risk: special-purpose silicon + Huawei CONTESTED oppose ×3 ▲ LONG NVDA 10.4 438d
🤖 Neoclouds are a transitory GPU arbitrage, not a durable business CONTESTED oppose ×3 ▲ LONG NBIS 1.0 179d

Where his book points

net push per primary instrument across his live stances — conviction × his agreement × the idea's direction. This is his implied book, not a position he disclosed.

NVDA
+97.0 long
SPCX
+84.0 long
IGV
+71.0 long
GOOGL
+53.9 long
GEV
+51.0 long
MU
+44.9 long
MSFT
+40.5 long
META
-26.7 short
cg:bittensor
+25.3 long
UUP
+17.0 long

Best and worst calls

How he argues

STANCE MIX
support 50
oppose 19
reversal 1
TIER MIX
explicit_prediction 42
sentiment 23
annual_prediction 5
REVERSALS — he argued the opposite of his own earlier position
E236 US compute export controls keep China off the AI frontier from 2025

Latest from him

support ×2 explicit_prediction 🤖 Anthropic IPO (~Oct 2026) is attractively priced at $1.5-2T E285 · 2026-08-14 ▶ 8:01
[On $2T:] these leaks are always coming from the bankers who probably lost lead left... if it comes out at two trillion, it probably means the roadshow went incredibly well. People do want to own this. [I said 3 to 4 trillion] was a market clearing price... Whatever the Wall Street consensus is for 2027, I'll take a 25 to 30% over on that... 4-500 billion is within the zone of realistic and achievable.
support ×2 explicit_prediction 🤖 Frontier AI labs keep durable premium pricing (not commoditized) E285 · 2026-08-14 ▶ 49:12
can orchestrate these open source 150 IQ intellects. ... a very plausible outcome is one which frontier tokens are 65 to 85% of the economic value. Open source tokens are like 80% of the volume. And that's good for everyone.
support ×3 explicit_prediction 🤖 AI compute capex supercycle has 12-24 months of runway E285 · 2026-08-14 ▶ 1:11:08
The overwhelming majority of tokens are profitable for everyone in the chain, everyone. Anthropic is generating cash... When I hear these macro and value investors making an assumption that tokens are subsidized and this is all going to collapse in some circular financing bonfire, they're just wrong.
support ×2 explicit_prediction ⚡ Natural gas powers the AI datacenter buildout E285 · 2026-08-14 ▶ 22:32
We're going to run on natural gas for a while. We have a lot of natural gas in America. It's the greenest carbon fuel... Caterpillar, Cummins, GE Vernova, Siemens Energy — they are all expanding capacity fast... people are taking jet engines off old planes and repurposing them as turbines to power data centers.
oppose ×1 sentiment 🤖 Meta becomes America's open-source AI champion E285 · 2026-08-14 ▶ 55:49
I might take the under. There is another American hero, ... You might see Nvidia at the open source Frontier.
support ×2 sentiment 📈 SpaceX post-IPO: multiple ways to win from $1.4T E285 · 2026-08-14 ▶ 1:33:52
Grok 4.6 is Pareto dominant on a lot of measures... very few of these investors talk about Grok at all... Maybe people should start to consider Grok when they think about SpaceX. [And] there's a lot ahead for SpaceX — the SpaceX story isn't over.
support ×2 sentiment 📈 SaaSpocalypse is overdone for compliance-moat enterprise software E285 · 2026-08-14 ▶ 1:35:15
the return of a private equity bid for software really changes the investing landscape. ... the rise of open source and the increasing competitiveness of open source is a godsend for the American software industry. It is an absolute godsend.
support ×3 explicit_prediction 📈 DRAM/HBM: the bottleneck that matters E278 · 2026-06-26 ▶ 1:03:35
memory capacity and bandwidth are foundational to the performance of every AI model. ... this bottleneck is going to be with us for a while. ... the floor pricing in these new contracts is ahead of prior cycle peaks from a gross margin perspective. ... DRAM is probably going to be 30 to 40 percent of all hyperscaler capex next year.
support ×3 explicit_prediction 🤖 Anthropic IPO (~Oct 2026) is attractively priced at $1.5-2T E278 · 2026-06-26 ▶ 1:28:21
I think Anthropic is worth $3 trillion today. ... that is roughly where it would probably trade as a public company. ... they're going to end this year well over $100 billion. ... It will be very profitable at that scale because it'll be inference dominated and people are reporting they have 85 percent gross margins on inference.
oppose ×2 sentiment 🤖 Frontier AI labs keep durable premium pricing (not commoditized) E278 · 2026-06-26 ▶ 47:01
how good GLM 5.2 is, has challenged some of my beliefs. ... I profoundly believe the future is composable models. ... half the queries are going to go to the open source model, maybe 85%, ... shift economic value from the margins of the frontier labs to the infrastructure. ... To date, frontier tokens are capturing 90% of the economic value. And open source tokens are probably 80% plus of tokens processed.
support ×2 explicit_prediction 📈 SpaceX post-IPO: multiple ways to win from $1.4T E278 · 2026-06-26 ▶ 1:11:52
to stand up a one gigawatt data center, it's $35 billion in semiconductors and ... $25 billion of power and cooling equipment, and that is clearly inflationary ... When Starship is reusable, it's going to cost $5 billion to put a gigawatt of compute into space. ... you're $40 billion to put the gig into space. ... everybody who's a SpaceX investor or employee has had a chance to sell every six months for the last 10 years. ... Almost half the employees at SpaceX bought on the IPO.
support ×2 sentiment 🪙 Decentralized AI compute (Bittensor/TAO) E278 · 2026-06-26 ▶ 1:22:47
you can lift H100s, A100s out of some old data center, put ... a Grok or a Cerebras in front of it, and you can get a very competitive solution. ... we're going to be using GPUs for seven years, ten years, twelve years, and that's great because it lowers the cost of finance them, which makes this AI revolution more financeable.
oppose ×3 explicit_prediction 🤖 Nvidia risk: special-purpose silicon + Huawei E274 · 2026-05-22 ▶ 1:14:22
there's a narrative that Nvidia is losing share to the TPU, ... within the Western AI world, within data centers that are being built, ... Nvidia's AI business is growing faster than Broadcom's, and faster than a lot of other companies that are seen as part of this ASIC sharegate story. ... these other ASICs are not being submitted for benchmarks. ... I think the reason they're not being submitted is they will lose.
support ×2 explicit_prediction 🤖 AI compute capex supercycle has 12-24 months of runway E274 · 2026-05-22 ▶ 4:34
if OpenAI and Anthropic call it $100 billion of ARR now, with 80%-ish gross margins on inference, the returns are there. ... if we add in Gemini, we add in Cursor, we add in XAI, we add in Open Source, it's not hard to see $200, $300, $400 billion of ARR at the end of this year at high margins. ... there's going to be a really strong ROI this year, even excluding
support ×2 sentiment 🤖 Anthropic IPO (~Oct 2026) is attractively priced at $1.5-2T E274 · 2026-05-22 ▶ 1:28:20
What is happening with AI right now, with Anthropic growing faster than any company in history at massive scale? ... they're bigger than 100 different countries for sure. Exactly. And compounding really fast and now profitable.