RDDT

Reddit, Inc.

stock all instruments
+0.0
net board stance what this means
95.1
+1.4% · close 2026-11-06
-38% / -41% / -48%
1m / 3m / 12m
-70%
vs SPY since 2025-08-01
2%
of 52w range · -63.3% off high
—
hit rate as primary

Where All-In Alpha stands — 0 live ideas

No active idea holds this ticker. Anything below is history.

Where the winds are blowing

NET BOARD STANCE, LAST 60 EPISODES — rising = the besties are building this position, falling = abandoning it. From the conviction ledger; an idea counts from birth until its window closes. Dots mark episodes where this ticker's ideas were actually mentioned; a dashed stretch is silence. Last mention E198 · silent for 97 episodes.
PRICE VS SPY OVER THE SAME WINDOW, % — did the talk lead the tape or follow it?

Who's pushing which way

each voice's net push ON THIS TICKER — their most recent stance per idea × that idea's direction ON THIS TICKER × strength, so supporting a bearish idea pushes down, unless this ticker is listed as the other side of it. Not conviction (that lives on the idea); this is direction of travel per person. what w= means

Jason
Jason 53% tech
1 idea (0 live) · last heard E168
+3
pushes up
Mark Cuban
Mark Cuban guest ×0.5
1 idea (0 live) · last heard E198
+2
pushes up
Sacks
Sacks 39% tech
1 idea (0 live) · last heard E168
-2
pushes down
Sam Altman
Sam Altman guest ×0.5
1 idea (0 live) · last heard E178
-2
pushes down
Reid Hoffman
Reid Hoffman guest ×0.5
1 idea (0 live) · last heard E194
-2
pushes down
Chamath
Chamath 45% tech
1 idea (0 live) · last heard E174
-3
pushes down
Friedberg
Friedberg 55% tech
1 idea (0 live) · last heard E168
-3
pushes down

Track record on RDDT

No closed window has used this ticker as its primary play, so there is no scored record here yet. Adjacent plays are listed but never scored.

ideacallplayresultreturnvs SPYscored
🤖 Training-data owners (NYT, Reddit, X, YouTube) win 2024 ▲ LONG adjacent HALF +12.0% -15.0 2025-01-06

The tape — what was actually said

every capture on any idea holding RDDT, newest first · quotes verbatim, timestamps deep-link into the episode

Mark Cuban Mark Cuban support ×2 ▲ on 🤖 Training-data owners (NYT, Reddit, X, YouTube) win 2024 E198 · 2024-10-03 ▶ 1:47:00
So I think that in order to train a model, you need access to information. And the Internet ain't what it used to be in terms of being a source of information. And so IP is becoming more valuable. You're not, I think everybody by this time expected all the foundational models to have all this healthcare information. But if I'm Mayo Clinic, I'm not giving Microsoft or Google or OpenAI my IP, because that's what brands me. And so there's going to be a lot of money available there.
Reid Hoffman Reid Hoffman oppose ×2 ▲ on 🤖 Training-data owners (NYT, Reddit, X, YouTube) win 2024 E194 · 2024-08-30 ▶ 26:58
don't try to hold out for money on the training side of things, because we're going to create synthetic data, we're going to do all kinds of other things that are going to mean that no one's particular data is really going to matter. What you should be is on freshness, on brand, on other things
Sam Altman Sam Altman oppose ×2 ▲ on 🤖 Training-data owners (NYT, Reddit, X, YouTube) win 2024 E178 · 2024-05-10 ▶ 34:11
I think the conversation has been historically very caught up on training data, but it will increasingly become more about what happens at inference time.
Chamath Chamath oppose ×3 ▲ on 🤖 Training-data owners (NYT, Reddit, X, YouTube) win 2024 E174 · 2024-04-12 ▶ 50:37
It turns out that OpenAI transcribed over a million hours of YouTube videos to train GPT-4... if Google is not going to sue OpenAI, then this is a moot point
Chamath Chamath support ×2 ▲ on 🤖 Training-data owners (NYT, Reddit, X, YouTube) win 2024 E170 · 2024-03-15 ▶ 24:20
I don't know if anybody's actually explored this, but if it is true and Google decides they have an issue with it, that's not good for these folks.
Sacks Sacks oppose ×2 ▲ on 🤖 Training-data owners (NYT, Reddit, X, YouTube) win 2024 E168 · 2024-03-01 ▶ 52:37
There's just a huge number of vendors of content. And so, models will need to buy some, but as long as they can get some, they don't need to have all. And therefore, it's basically highly competitive among suppliers, and there's a very limited number of buyers. So that tends to be the buyers.
Jason Jason support ×3 ▲ on 🤖 Training-data owners (NYT, Reddit, X, YouTube) win 2024 E168 · 2024-03-01 ▶ 50:40
Reddit, Quora, Stack Overflow, they're going to just get taken out. I think this is going to be the new model. ... I think they're going to get taken out. I think these businesses will become too valuable because they do have ongoing content that just keeps getting generated.
Friedberg Friedberg oppose ×3 ▲ on 🤖 Training-data owners (NYT, Reddit, X, YouTube) win 2024 E168 · 2024-03-01 ▶ 46:13
And I'm not sure how you get paid a continuous licensing stream for that content. Once you've trained the model, the content gets old, it gets stale at some point in a lot of cases, like news. And then eventually, if you don't have a high quality, continuous stream of content, it's not worth as much anymore. ... And so every year, all the old data becomes worth even less.
Chamath Chamath support ×3 ▲ on 🤖 Training-data owners (NYT, Reddit, X, YouTube) win 2024 E168 · 2024-03-01 ▶ 42:01
And I just said that we should call this TAC 2.0, except now what Google is doing is, instead of paying for search, they're actually paying for your data and saying, give it to me so that I can train my models and make it better. ... So if you're an entrepreneur building a website or building an app that has really unique training data or really unique data, you'll be able to license and sell that. And that'll be an incremental revenue stream to everything you do in the near future.
Chamath Chamath support ×3 ▲ on 🤖 Training-data owners (NYT, Reddit, X, YouTube) win 2024 E167 · 2024-02-23 ▶ 1:06:34
like what Google did with Reddit, we're now going to spend $60 billion a year licensing training data, right? We're going to scale this up by a thousand fold ... we are going to be the truth tellers in this new world of AI
Sacks Sacks support ×2 ▲ on 🤖 Training-data owners (NYT, Reddit, X, YouTube) win 2024 E164 · 2024-02-02 ▶ 1:12:25
It's hard to know exactly how valuable that is because we're still in the early innings, but I mean, they can definitely do something with that data. Grok's whole competitive advantage is having exclusive access to Twitter's data
Jason Jason support ×2 ▲ on 🤖 Training-data owners (NYT, Reddit, X, YouTube) win 2024 E164 · 2024-02-02 ▶ 1:11:37
there is this concept that Reddit has the greatest pool of data for large language models ... They have talked about they want to get paid for licensing and that if you want to use their data for your language money, you got to get permission.
Jason Jason support ×2 ▲ on 🤖 Training-data owners (NYT, Reddit, X, YouTube) win 2024 E160 · 2024-01-06 ▶ 24:32
My biggest winner in 2024: training data owners like the New York Times, Reddit, X, YouTube... language models are hitting parity... the real value is going to be in the training data... I think it's going to be a nine-figure settlement and an ongoing licensing fee.