TH

Thomas Laffont

regular guest ×1.0 · 19 ideas engaged · 2 episodes · E212 → E232
ChamathJasonSacksFriedbergAaron LevieBen ShapiroBill GurleyBrad GerstnerCyan BanisterElon MuskGavin BakerJoe LonsdaleKeith RaboisRyan PetersenTravis Kalanick
0.53
credit over 18 calls how this is scored
9/1/8
right / half / wrong
-18%
avg α on scored calls α
1
live positions
+0
lifetime conviction force · 0 ideas born
2.3
avg strength · 7 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 6 0.5 3/0/3 -16% coin flip
×2 stated with reasoning 11 0.59 6/1/4 -16% better than coin flip
×1 offhand aside 1 0.0 0/0/1 -51% 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
explicit_prediction 11 0.73 8/0/3 -2%
positioning 1 0.0 prov. 0/0/1 -23%
sentiment 6 0.25 1/1/4 -45%

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
🤖 tech n=6
0.58 w=1.17 3/1/2
📈 equities n=6
0.5 w=1.00 3/0/3
🏛️ politics-market n=3
0.33 provisional 1/0/2
🏦 rates n=1
0.0 provisional 0/0/1

Live book — 1 position

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
🤖 Own AWS, Azure and GCP and nothing else — the clouds capture the AI application dollars support ×3 ▲ LONG MSFT 20.6 650d

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.

MSFT
+20.6 long

Best and worst calls

How he argues

STANCE MIX
support 13
oppose 7
TIER MIX
explicit_prediction 13
sentiment 6
positioning 1

Latest from him

support ×1 sentiment 🏦 Rates fall to ~2.5% within two years E232 · 2025-06-21 ▶ 6:19
What if actually AI can increase productivity and regrow GDP faster than expectations, right? And perhaps that's one of the reasons why interest rates might not be quite as high as you might expect, given some of the trends that you guys have talked about.
support ×2 explicit_prediction 🤖 Models commoditize — proprietary data is the only AI moat E232 · 2025-06-21 ▶ 13:06
Onavo was a small data service provider, but what it did is it had a panel of phones, and we as investors could see which apps people were using, and the data was incredibly valuable because it was the only service that gave you true engagement data. ... Eventually, it sold to Facebook, and Facebook used it internally and didn't allow anybody else to use it.
support ×2 sentiment 🤖 AI value migrates from apps to the vertically integrated hardware/OS layer E232 · 2025-06-21 ▶ 21:51
if we look at the winners, in models of the past 12 months, anthropic the same, right? They've been very deliberate and have explained how TPUs, right? They've been a big user of them, how it's helped define their training models. ... If we look at the models that have really performed, it's ones that have that quote secret, as you mentioned.
support ×3 explicit_prediction 📈 AI adoption disperses the S&P — short the index, own the category killers E232 · 2025-06-21 ▶ 23:22
I'm wondering if this is the year where we've seen the greatest divergence amongst the Mac 7, right? ... now the market is saying, wait, hold on, we might start to see diverging performance.
support ×2 explicit_prediction 🤖 We run out of compute again in 2025 E232 · 2025-06-21 ▶ 29:58
Look, I think to me, number one, I still think NVIDIA, right? I don't see the GPU kind of getting displaced. I see additional architectures kind of coming on board, right? And growing the market. But at the end of the day, all roads still lead to the GPU for all of these models.
oppose ×2 sentiment 🏛️ US compute export controls keep China off the AI frontier from 2025 E232 · 2025-06-21 ▶ 37:08
I think Sacks' work on the diffusion rule, just generally, I don't think has gone enough attention in the rescinding of the diffusion rule, which essentially handicapped our ability to even arm our allies with our semiconductor technology.
oppose ×2 sentiment 📈 Apple has completed the transition from growth company to cash cow and loses the AI cycle E232 · 2025-06-21 ▶ 46:20
So I think the good news for them is, look, they still have a monopoly on users, they have three trillion of market cap to kind of play with. So I think it's way too early to count them out.
support ×2 explicit_prediction 📈 Rate cuts plus the AI wave start a new venture cycle - a golden era, not a bubble E232 · 2025-06-21 ▶ 1:02:59
I do think that we're starting to see a healthier market where we know a lot of dollars have gone in, but now we're starting to see some dollars coming out. So I think that's both in M&A, by the way, and it's also in IPOs.
support ×3 explicit_prediction 🤖 The software industrial complex cracks in 2025 E232 · 2025-06-21 ▶ 1:11:51
I think, and this is order of magnitude correct, that Anthropic in Q1 added 70% of the net new AR in the SaaS industry, right? Defined by public SaaS companies, right? So let's just think that the company in AI that is most powering, the disruption of SaaS, added three quarters of the net new of the entire industry
oppose ×3 explicit_prediction 📈 The exit drought is a valuation overhang, not antitrust or markets E232 · 2025-06-21 ▶ 1:18:51
Then wait till we see the flurry of S1s that have already been filed. Figma is a generational potential company that's going to be coming. I think we're going to see fantastic assets coming out. I think the market is saying we're open for business.
oppose ×2 explicit_prediction 📈 Agents replace the entry-level analyst — static team size at scale E232 · 2025-06-21 ▶ 1:27:38
I think knowledge workers are incredibly flexible. They can take their tools from, you know, one particular skill set to another. So I think this is going to unleash incredible opportunities for the economy. I think it is going to make us more productive and wealthier. So I'm definitely on the more optimistic side of the scenario.
support ×3 explicit_prediction 🤖 Own AWS, Azure and GCP and nothing else — the clouds capture the AI application dollars E232 · 2025-06-21 ▶ 1:36:44
I think all four of us would agree that if we could synthetically own AWS, Azure and GCP, if I could somehow automagically create an index of all three of those businesses, right, over the next five years, you wouldn't need to own anything else.
support ×2 explicit_prediction 🏛️ TikTok gets banned or force-divested and US platforms take the attention E212 · 2025-01-25 ▶ 35:52
But I think you put it all together, you know, is 100 billion a reasonable scenario? ... And then could it be a trillion dollar asset, the way Trump has mentioned? I mean, in a world where Facebook's one and a half, right? And the penetration of TikTok in the US is 50% of what Metta is. I don't think it's unrealistic.
oppose ×2 sentiment 🏛️ Washington starts taking equity and royalties in exchange for permits and grants E212 · 2025-01-25 ▶ 51:44
my way to put back to Chamath on that would be, I just think it's a dangerous game for the government to start picking winners. You know, I wouldn't, for example, if it owns 50% of a TikTok, does it disadvantage a meta, as an example, right?
oppose ×2 explicit_prediction 🤖 Stargate's $500B is marketing, not a real capex commitment E212 · 2025-01-25 ▶ 1:15:39
I think to me, the real question, guys, is, do we ultimately believe that you can get an ROI on that 500 billion? Because if you can, there will be people that will want to fund it, right? You can do a data center by data center, you can do it actually at the GPU level, right? So the financing is there. To me, the 500 billion doesn't scare me from an absolute number.