Friedberg

Friedberg

bestie · 400 ideas engaged · 231 episodes · E1 → E296
ChamathJasonSacksAaron LevieBen ShapiroBill GurleyBrad GerstnerCyan BanisterElon MuskGavin BakerJoe LonsdaleKeith RaboisRyan PetersenThomas LaffontTravis Kalanick
0.46
credit over 356 calls how this is scored
132/60/164
right / half / wrong
0.47
credit on green-grade calls · n=137 what this is
vs SPY -2% 52/24/61
-10%
avg vs SPY on scored calls
40
live positions
+7590
lifetime conviction force · 123 ideas born
2.25
avg strength · 235 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 vs SPYread
×3 table-pounding 97 0.39 29/18/50 -16% worse than coin flip
×2 stated with reasoning 239 0.48 96/38/105 -8% coin flip
×1 offhand aside 20 0.45 7/4/9 -9% coin flip

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 vs SPY
annual_prediction 2 0.0 prov. 0/0/2 -25%
explicit_prediction 228 0.46 84/42/102 -9%
positioning 6 0.5 3/0/3 +5%
sentiment 120 0.45 45/18/57 -11%

What he's actually good at

his row of the scoreboard — these are his scored record by category, unlocked at n ≥ 5 resolved calls. Track record only — it does not weight his mentions or move any conviction.

🪙 crypto n=12
0.58 provisional 7/0/5
🤖 tech n=66
0.55 provisional 32/8/26
🌍 macro n=40
0.46 provisional 16/5/19
📈 equities n=123
0.43 provisional 44/18/61
🏦 rates n=15
0.43 provisional 4/5/6
🏛️ politics-market n=74
0.42 provisional 22/18/34
⚡ energy n=18
0.39 provisional 5/4/9
🛢️ commodities n=8
0.38 provisional 2/2/4

Live book — 40 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
🤖 Enterprise AI sovereignty: workloads leave frontier APIs for private stacks support ×2 ▲ LONG NBIS 93.5 NOT MOVED YET 308d
📈 SpaceX post-IPO: multiple ways to win from $1.4T support ×2 ▲ LONG SPCX 91.2 NOT MOVED YET 955d
🤖 AI compute capex supercycle has 12-24 months of runway POD DISAGREES support ×3 ▲ LONG NVDA 86.5 NOT MOVED YET 288d
🏦 US fiscal spiral keeps long-end yields grinding higher POD DISAGREES support ×2 ▼ SHORT TLT 84.8 MOVING 463d
📈 AI cyber: the one-time hardening upgrade cycle support ×3 ▲ LONG PANW 77.9 RUNNING 175d
📈 It's 1997-98, not 1999 — the melt-up has years left POD DISAGREES support ×2 ▲ LONG QQQ 75.6 NOT MOVED YET 1032d
🌍 The 2026 US boom — 5-6% GDP prints support ×1 ▲ LONG RSP 64.8 NOT MOVED YET 64d
🤖 Anthropic IPO (~Oct 2026) is attractively priced at $1.5-2T POD DISAGREES support ×3 ▲ LONG GOOGL 61.3 NOT MOVED YET 119d
🏦 Bond vigilantes hit Western Europe: French OATs to 5.5-6%, UK gilts to 6% support ×3 ▼ SHORT BWX 59.2 — 337d
🤖 Google wins consumer AI via distribution POD DISAGREES oppose ×2 ▼ SHORT GOOGL 57.9 NOT MOVED YET 259d
🤖 Meta becomes America's open-source AI champion POD DISAGREES support ×1 ▲ LONG META 55.4 RUNNING 280d
🤖 Personal AI agents put the App Store's 30% take and opaque subscription/retail economics on notice POD DISAGREES support ×1 ▼ SHORT AAPL 49.3 NOT MOVED YET 323d
⚡ Natural gas powers the AI datacenter buildout support ×2 ▲ LONG GEV 47.9 RUNNING 330d
🤖 Own AWS, Azure and GCP and nothing else — the clouds capture the AI application dollars support ×2 ▲ LONG MSFT 47.9 — 592d
🤖 Apple: the AI dark horse via local models POD DISAGREES support ×1 ▲ LONG AAPL 47.0 — 203d
📈 2026 is the year of mega-IPOs POD DISAGREES oppose ×2 ▼ SHORT IPO 42.9 — 64d
📈 Nike's $200B collapse is structural, not cyclical POD DISAGREES support ×3 ▼ SHORT NKE 40.0 — 308d
🤖 Frontier AI labs keep durable premium pricing (not commoditized) POD DISAGREES support ×2 ▲ LONG MSFT 37.7 — 119d
🤖 Neoclouds are a transitory GPU arbitrage, not a durable business POD DISAGREES support ×2 ▼ SHORT NBIS 34.3 — 121d
🤖 The $3-4T software industrial complex contracts in 2026 POD DISAGREES support ×2 ▼ SHORT IGV 34.3 — 64d
📈 Rate spike impairs bank equity: the October 30 call reports land as a shock HIS ALONE support ×3 ▼ SHORT KRE 34.2 — 329d
🏛️ The AI doomer campaign fails — no FDAI, open source survives POD DISAGREES oppose ×2 ▼ SHORT NVDA 30.5 NOT MOVED YET 308d
🏦 State-government financing stress surfaces in 2026 support ×3 ▼ SHORT MUB 28.4 — 64d
📈 Web2 buyouts: the flaccid-asset M&A wave support ×2 ▲ LONG PYPL 26.9 — 72d
📈 SaaSpocalypse is overdone for compliance-moat enterprise software POD DISAGREES support ×2 ▲ LONG IGV 24.0 NOT MOVED YET 274d
⚡ Short nuclear: SMRs miss the economic window support ×2 ▼ SHORT URA 22.9 — 64d
🤖 Personal AI agents: Google's data moat wins the form factor POD DISAGREES support ×1 ▲ LONG GOOGL 22.9 — 84d
🤖 ChatGPT takes Google search share and the market starts pricing the decay POD DISAGREES support ×2 ▼ SHORT GOOGL 21.2 — 183d
🪙 OpenAI's withheld cryptography results put public-key crypto wallets at risk HIS ALONE support ×2 ▼ SHORT cg:bitcoin 17.0 — 337d
📈 Retatrutide: Lilly's premium peptide upgrade path support ×2 ▲ LONG LLY 16.8 — 175d
🛢️ Global nitrogen-fertilizer supply shock HIS ALONE support ×3 ▲ LONG CF 16.2 — 147d
🌍 China's automated manufacturing base outruns US reindustrialization POD DISAGREES support ×2 ▲ LONG ROBO 13.4 — 135d
🏛️ LA fire rebuild stalls for years, not months support ×3 ▼ SHORT BLDR 13.0 — 437d
🌍 The debasement trade: USD is 2026's worst asset POD DISAGREES support ×3 ▼ SHORT UUP 10.9 — 64d
📈 Retail speculation complex (Robinhood/prediction markets/gambling) wins 2026 POD DISAGREES oppose ×1 ▼ SHORT HOOD 9.4 — 64d
🤖 Willow's error-correction scaling puts encryption on a two-to-five-year clock POD DISAGREES support ×3 ▲ LONG GOOGL 8.5 — 36d
📈 Brands go to zero — pricing power erodes POD DISAGREES support ×2 ▼ SHORT LVMUY 7.9 — 140d
🤖 Nvidia risk: special-purpose silicon + Huawei POD DISAGREES support ×3 ▼ SHORT NVDA 1.9 — 380d
🏛️ DOGE delivers real federal spending cuts under unified Republican control POD DISAGREES oppose ×2 ▲ LONG BAH 0.0 — 1d
🏛️ The anti-data-center backlash peaks and reverses post-midterms POD DISAGREES oppose ×2 ▼ SHORT DLR 0.0 NOT MOVED YET 301d

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.

SPCX
+91.2 long
MSFT
+85.5 long
TLT
-84.8 short
PANW
+77.9 long
QQQ
+75.6 long
RSP
+64.8 long
NBIS
+59.2 long
BWX
-59.2 short
META
+55.4 long
NVDA
+54.0 long

Where he's out on a limb

the differentiated part of his book — nobody else has taken a regular stance, or the rest of the table is on the other side. High information either way: these are the calls that make his record, and the ones with no cross-voice check on them.

HIS ALONE 📈 Rate spike impairs bank equity: the October 30 call reports land as a shock 34 never reached the ≥2-voice green gate on his own
HIS ALONE 🪙 OpenAI's withheld cryptography results put public-key crypto wallets at risk 17 never reached the ≥2-voice green gate on his own
HIS ALONE 🛢️ Global nitrogen-fertilizer supply shock 16 never reached the ≥2-voice green gate on his own
VS THE TABLE 🤖 Google wins consumer AI via distribution 58 he opposes; all 2 other regular voices disagree
VS THE TABLE 📈 2026 is the year of mega-IPOs 43 he opposes; all 3 other regular voices disagree
VS THE TABLE 📈 Retail speculation complex (Robinhood/prediction markets/gambling) wins 2026 9 he opposes; all 2 other regular voices disagree
VS THE TABLE 📈 Brands go to zero — pricing power erodes 8 he supports; all 2 other regular voices disagree

Best and worst calls

How he argues

STANCE MIX
support 740
oppose 223
reversal 12
brush_off 7
TIER MIX
explicit_prediction 647
sentiment 305
positioning 15
annual_prediction 15
REVERSALS — he argued the opposite of his own earlier position
E147 Generative AI is the next Silicon Valley bubble cycle
E170 YouTube is the largest proprietary training corpus on earth - Google's insurmountable AI moat
E203 Socialist policy turn across the industrialized democracies
E218 Trump's tariff threats are negotiating leverage and get settled down
E232 The exit drought is a valuation overhang, not antitrust or markets
E289 Frontier AI labs keep durable premium pricing (not commoditized)

Latest from him

oppose ×2 sentiment 🏛️ DOGE delivers real federal spending cuts under unified Republican control E296 · 2026-11-07 ▶ 12:38
And then the one big beautiful bill passed in July of 2025, which had some entitlement cost reductions, but all of the fundamental spending of the government had not been reduced. And we're still running a $7 trillion a year government budget with a $2 trillion a year deficit. So I don't think Congress was ever on board.
support ×2 explicit_prediction 🏦 US fiscal spiral keeps long-end yields grinding higher E296 · 2026-11-07 ▶ 41:06
And as we talked about a couple weeks ago, I think the bond market will tell you where they think that's headed. Because if we continue this $2 trillion your deficit spending, things are going to remain expensive, they're going to get worse.
oppose ×2 explicit_prediction 🏛️ The AI doomer campaign fails — no FDAI, open source survives E296 · 2026-11-07 ▶ 41:06
I still think, I could be wrong, but I still think we end up in a place where the government says we want to regulate compute.
oppose ×2 explicit_prediction 🏛️ The anti-data-center backlash peaks and reverses post-midterms E296 · 2026-11-07 ▶ 41:06
I think the data centers end up being treated like utilities in the future. And I do think that the government are going to try and move down this path.
support ×3 explicit_prediction 🤖 Anthropic IPO (~Oct 2026) is attractively priced at $1.5-2T E295 · 2026-10-30 ▶ 11:19
So if you just say, hey, look, Anthropics customers that could spend $100,000 or more, and have it be less than 1% of their total spend, the addressable customer base is about a million customers. So they're only, call it 1% of total customer penetration potential.
support ×3 explicit_prediction 🤖 AI compute capex supercycle has 12-24 months of runway E295 · 2026-10-30 ▶ 12:53
But generally speaking, if AI is delivering value to the customers, I think this shows that there really is true productivity arising from AI, that across the whole value chain, there is such margin to be had, so much value being created, all the way through to the customers
support ×2 explicit_prediction 📈 It's 1997-98, not 1999 — the melt-up has years left E295 · 2026-10-30 ▶ 12:53
So I just thought like to me, it was so striking how early we are, but also how incredibly profitable everyone is, which indicates there's quite a bit of productivity being produced across the whole value stack.
support ×2 sentiment 📈 SpaceX post-IPO: multiple ways to win from $1.4T E295 · 2026-10-30 ▶ 12:53
And then that gets sold to SpaceX, and then SpaceX turns around, and they're making, you know, an 83% margin on that chip spend because they're kind of looking at a five-year depreciation. So they spent $10 billion on Colossus One, five-year life, $2 billion a year depreciation. And so that's kind of the cost per year, but then they're making $1.25 billion a month on Colossus.
support ×2 positioning 🤖 Enterprise AI sovereignty: workloads leave frontier APIs for private stacks E295 · 2026-10-30 ▶ 15:51
I've talked a lot about moving to open source, and we have our own cluster installed with our own kind of open source now.
support ×2 explicit_prediction 🤖 Frontier AI labs keep durable premium pricing (not commoditized) E295 · 2026-10-30 ▶ 15:51
But I think what Claude is showing is that they have such a high margin. They actually have good elasticity on pricing. So they could push price down, and you could start to see them start to segment the market a little bit, where they could start to be more competitive, perhaps, with cheaper tokens for cheaper, easier tasks, and then premium tasks charge a higher price for intelligence, and start to stratify the value of the intelligence that they're providing by changing the price points.
oppose ×2 explicit_prediction 🏛️ The AI doomer campaign fails — no FDAI, open source survives E295 · 2026-10-30 ▶ 36:48
I think that you're going to end up seeing compute get regulated in the future, where compute capacity is going to be assigned by government, and they're going to pass laws to try and do that post-production, that is, like, meaning they're not going to control the chips. They're going to control the actual compute layer, and they're going to determine who's going to get access to what amount of compute.
oppose ×2 explicit_prediction 🏛️ The anti-data-center backlash peaks and reverses post-midterms E295 · 2026-10-30 ▶ 36:48
The governments aren't going to want to let that happen. So they're going to try and stop the data centers
support ×2 explicit_prediction 🤖 Own AWS, Azure and GCP and nothing else — the clouds capture the AI application dollars E295 · 2026-10-30 ▶ 1:03:30
When I say it's complicated, I think there's a story you can build in the Cloud business that shows the next couple of years of really progressive growth in that business.
support ×2 sentiment 🤖 ChatGPT takes Google search share and the market starts pricing the decay E295 · 2026-10-30 ▶ 1:03:30
As some people have pointed out, this may largely be driven by a change in the pricing algorithm for ads and how Google is now, in some cases, over earning for those clicks. And over time, advertisers will see that, they'll experience that, they'll reduce spend, they'll attrit some dollars, and it won't look as good of a business.
oppose ×2 sentiment 🤖 Google wins consumer AI via distribution E295 · 2026-10-30 ▶ 1:05:29
So it's a really hard question of what do we want to be at Google right now? I don't think that they have a great answer, and I don't think it came across well in the earnings report.