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David Friedberg: Frontier Models are Training on Your Novel Insights as “De-Identified Data” @jason: “Should they trust any of these LLMs with their proprietary knowledge for fear of having it cribbed into a core LLM?” david friedberg: “I have had experiences where we've asked some fairly novel scientific questions,...

54,050 görüntüleme • 3 gün önce •via X (Twitter)

29 Yorum

inigo quilez profil fotoğrafı
inigo quilez3 gün önce

It's interesting to see Friedberg (who I admire) go from defending the right of AI companies to "learn" from artists without their consent (no, putting something online is not granting permision to take it), just a few months ago, to now not agreeing with his work being used to improve AI models. When it's somebody else's work, it belong to the collective.. But when it's your work, now it's "your alpha" and you need to protect it.

Clark H profil fotoğrafı
Clark H3 gün önce

@Jason @friedberg The OpenAI case seems more extreme - eg normally I’d expect a VERY unique corpus to get ‘averaged out’ in training, and the fact that that didn’t happen implies something else was done to prevent this. My guess is other LLMs are more ethically run and don’t do this?

Jackson profil fotoğrafı
Jackson3 gün önce

This is all that LLMs are. Whoever has the training data wins. This is why Anthropic exists. This is why Anthropic thinks they will be the last company. If everything is distilled into the model, it’s going to be better than you because it has more memory and speed than a person can have. It becomes easy to copy anything.

elian profil fotoğrafı
elian3 gün önce

@Jason @friedberg no NDA with a chatbot, groundbreaking discovery from a guy who runs a public company

Adhyat profil fotoğrafı
Adhyat3 gün önce

@Jason @friedberg Too much echo chamber now a days. Where are the intellectual disagreements?

semicolonwizard profil fotoğrafı
semicolonwizard3 gün önce

@Jason @friedberg De-identified is doing a lot of work in that sentence. Removing your name from a prompt does not remove the idea from it, and the idea is the thing you were worried about. The only setting that protects it is one where the prompt never enters training at all.

Jatin Garg profil fotoğrafı
Jatin Garg3 gün önce

Worth separating the tiers here. On the API and business plans, OpenAI and Anthropic both say they don't train on your inputs by default. Opting in is a deliberate switch you have to flip. The five-year de-identified retention Friedberg is describing sits on the consumer plans, and only when the model training setting is left on. So the answer depends on which plan the proprietary work got typed into.

FixerGuy$IFIO profil fotoğrafı
FixerGuy$IFIO3 gün önce

@Jason @friedberg Will it matter. All information and data is about to be available to everyone always. Your gonna be able to just prompt anything and it will figure. It out

Fajar M Reza profil fotoğrafı
Fajar M Reza3 gün önce

@Jason @friedberg De-identification claims still need measurable guarantees against memorization and unintended model leakage.

Nick Mack @NickMack@mstdn.social profil fotoğrafı
Nick Mack @[email protected]3 gün önce

@Jason @friedberg

Back To Square One profil fotoğrafı
Back To Square One3 gün önce

@Jason @friedberg I used to work for a company that practiced it .. hired the best engineers … big paychecks .. forced to file for patents (idea harvesting) or get low rating (risk of elimination) .. fire them when they had the patent(s).. blackball them from finding employment in same field ..

Dahliajean profil fotoğrafı
Dahliajean3 gün önce

😢@Jason Do you have an AI agent that randomly blocks followers if it has perceived some sort of slight against you? If so, THIS is how AI will likely destroy the world, because I cannot imagine what would have prompted this.🤔 (Unless it’s the AI ‘Do It or Don’t’ Nike ad I created on my feed, which is being hidden on X. I posted it 10 hours ago and 3 people have seen it, so if that’s the issue, it’s sort of a non-issue.🤣)

Sami profil fotoğrafı
Sami3 gün önce

@Jason @friedberg taking the name off a document doesn't take the secrets out of it.

Tatsuo Medama profil fotoğrafı
Tatsuo Medama3 gün önce

@Jason @friedberg It seems that these days it’s up to productive immigrants to defend the true American values.

American Princess 💋🇺🇸 profil fotoğrafı
American Princess 💋🇺🇸3 gün önce

@Jason @friedberg you didn't care about Google porting all of our domains over to Square Space forcing us into workspace... spare me

Patrick Blacker profil fotoğrafı
Patrick Blacker3 gün önce

@Jason @friedberg Great episode. Was enjoyable to hear what I think helped build up All-In's audience: insightful business discussions. Interestingly, perhaps subconsciously, the discussions around 'go woke go broke' I think apply to some of the pods regressions (sentiment-not-metrics) 🧵

aiaug profil fotoğrafı
aiaug3 gün önce

@Jason @friedberg Sorry but why are we all suddenly all act surprised when privacy is cooked? It has always been the name of the game from day 1.

LFGCAPO profil fotoğrafı
LFGCAPO3 gün önce

@Jason @friedberg De-identification is not the same as non-retention. Enterprise trust needs explicit defaults: no training, short retention, tenant isolation, and auditable deletion. The real product moat is proving proprietary context never crosses the boundary.

thelayzeeshow profil fotoğrafı
thelayzeeshow3 gün önce

@Jason @friedberg No discussion on Trump’s $5000 cheques and socialism eh? 🤣 that is why you guys lose to free grocery guys 🤦‍♂️

Emiliano profil fotoğrafı
Emiliano3 gün önce

@Jason @friedberg Currently doing AI training sets for the profession I’ve worked in for the past 10 years for a major foundation model. I figure my career is cooked either way. Might as well get paid an absurd amount of money right now.

Njuguna Kimani profil fotoğrafı
Njuguna Kimani3 gün önce

@Jason @friedberg De-identified doesn’t mean de-useful. If the insight was novel enough to matter to you, it’s novel enough to matter to the next model. Treat anything you wouldn’t publish as something you wouldn’t paste — especially if it’s the edge you’re paid for.

Average Joe profil fotoğrafı
Average Joe3 gün önce

@Jason @friedberg The answer is to have the AI conversation in an LLM that generates the IP from the conversation and registers the origins of the original idea. X would be a great place to do that. Basically publish ideas on x in real time and get credit for it. Then one year to file the IP.

Morgan Warstler profil fotoğrafı
Morgan Warstler3 gün önce

@Jason @friedberg MODEL BUILDERS CANT HOST unkess they are encrypt in and encrypt out.

Claude Banfield profil fotoğrafı
Claude Banfield3 gün önce

@Jason @friedberg Clip Friedberg ✊

Hira Jha profil fotoğrafı
Hira Jha3 gün önce

@Jason @friedberg That test can't tell training-on-your-chat from the model just improving. A canary phrase nobody else would type is the one that can.

Gabriele Spata profil fotoğrafı
Gabriele Spata3 gün önce

@Jason @friedberg open source doesn't stop this, it just moves the training data collection in house

Navin🟧 profil fotoğrafı
Navin🟧3 gün önce

@Jason @friedberg You guys are not exactly rational and objective as you claim to be and are frankly getting TIRESOME. Time to take a break from the All-in Podcast.

Dan Farfan profil fotoğrafı
Dan Farfan3 gün önce

To get ahead of what I have labeled the "Super Gambit" ( see: ) POTUS should tell the press that he's made a decision. The first "regulation" from any new govt AI agency will be to award "winner take all" status to the company that solves AI super intelligence safety and alignment because obviously we won't want any frontier AI model without that causing harm. Boom. Winner take all... NOW how much do you want fed govt regulating AI? cc: @DavidSacks @chamath

Alexandru Fartade profil fotoğrafı
Alexandru Fartade3 gün önce

@Jason @friedberg LLM tokens traffic should be encrypted by the harness. Like a VPN that sits between your traffic and your ISP. This is what @nvidia should sell when hosting open source LLMs, people care about their privacy and IPs.

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I don't see, I don't know where there's any kind of a spiritual turn to that where you could look at all that and all of a sudden you say, 'Oh, now I'm a better person.'" (Most of us have known that Axelrod in "Skinwalkers at the Pentagon" is Jay Stratton but that's the first time one of his colleagues/friends has said it. And I agree: What's the purpose of orbs scaring, and leaving marks on, his kids? And the wolf that his wife, kids and their friends say they saw? Why? To make them better people? It makes zero sense to me.) Semivan: "It happened with Chris (Bledsoe) and, you know, great for him. Sure, as hell didn't happen to me. And I don't think it happened to Jay Stratton, either. I think it gave Jay a different outlook as with me, but sh*t, I mean, nothing I couldn't have got from reading books. What do you think?" Tom DeLonge: "I think like, yeah, you know, the idea of what we might call something evil, but to that, it's like, you know, are we evil when we go fishing and we hurt fish? You know, are we considered evil to the fish? So it's things looking out for its own interest." (100%. Someone asked me about good vs. evil last night and I wrote back, "Not about good vs. evil. About survival and food chain. Somber.") DeLonge: "The thing that I look at, you know, a lot of the ideas of good and evil come from like, religion, all different types of religions where it really defines the metaphysical nature of who we are and what we're living in. But I look at religion... I cannot think of one religion that hasn't left a wake of destruction. I mean, literally, every single one has done so much harm. And the one pattern in all these religions is that most of them, outside of the pagan ones, have really tried to just to get us to believe that the creator of the universe is some kind of human, or something. It's not like a source, an energy, it's like, it's a Jesus or an Allah, or it's a Buddha, or I don't know. Buddhism doesn't really say that, but you know what my point is. It's trying to humanize something. "And so, to me, it's like when Chris Bledsoe, or some of these others that have these kinds of spiritual experiences, these are the exact same experiences that are written about throughout the entire Bible, in the Quran, and like, all these other texts. And all of them are really setting the stage for us to worship the UFO and their occupants, to some degree." (You see this a lot with the folks who think we're dealing with ETs here to uplift humanity. The Space Brothers theory. I don't know the truth but, to me, it doesn't seem like that's the answer.) DeLonge: "And that, to me, is the one strong pattern, is to confuse us and not let us know of our own spiritual nature to source consciousness." (I've said many times that I believe a lot of this is about human potential and our untapped capabilities in the psi (psychic, pk, consciousness, etc.) area) DeLonge: "And as long as we don't know that, then we will think that, 'Okay, the aliens like, f**ked with our DNA and made us like this,' or 'The Tall Whites showed up and they were the Greek gods, too, and they gave us philosophy and all this whatever.' It's like we're always like, giving some kind of humanized form credit for everything. "And the one thing that's common in all these religions is that it's not giving credit to source energy that allows us to heal, that allows us to be telepathic, that allows us to have telekinesis, that allows us to have, like, compassion in energy to healing. Like, whether you do Reiki and meditate, or whether you sit and pray, it doesn't matter. Why does it work in every religion? Because it's source energy, it's not about the religion." (The one thing I could never get behind is healing because there was no data to back it up. That was until I was shown the work of Bill Bengston. Tons of data. How does it work? I don't know. Nobody does.) DeLonge: "But if you look at who's responsible for all the religions? Well, it's whatever UFO the Star of Bethlehem was, or whatever UFO the Fatima thing was, or whatever the Tall White was that met with Joseph Smith and started the Mormon religion was. Whatever the Jinn are that are in the Koran, or whatever the Demons are there in the Old Testament, they seem to be the things that come in, that take you in your sleep, and make you think things and deceive you. It's all the same." (Deception, deception, deception. A lot of this is very similar to what David Icke (and others) has written about.) DeLonge: "So you have all these things f**king with you, as the good ones and the bad ones. But all the religions, the pattern is, is never ever, ever let humans know the physics of their existence. Which is meditate, you can heal somebody and have all your information you need, or pray. It's the same thing, it doesn't matter. "That's more like my line of thinking is, is why it's so important for us to understand the true nature of spirituality, and why I step back when I hear the Chris Bledsoe stories. And it's wonderful that he's gotten to a place that it's helping him, because I really do like him as a person, and I really respect and honor his experiences because I firsthand have heard them from him. And he's just a wonderful human. I mean, it was an incredible story. But I told him personally, I said, I would be very careful giving these entities that are f**king with you, like, all this great credit and putting them on a pedestal, because these are the same groups that have been doing a lot of weird s*it throughout time, good and bad.' (Again, I think Bledsoe has had real experiences but IMO, his interpretation of what he's dealing with is off.) DeLonge: "And that, to me, seems, you know, that seems suspect. You know, it seems like if there is any really, true, beautiful, great force, and entities representing that force, like your angels in the Bible. I mean, even in the Bible, people would, you know, when they saw an angel, they would collapse on the ground in extreme fear, and like, they couldn't even look at them. It was like the scariest thing that's ever happened. And that doesn't sound like a real loving interaction to me (laughs). That sounds like some scary shit, you know? "So I think whatever would represent true love and unparalleled love, that doesn't seem to be showing up and f**king with our society and our timelines, and our behaviors, and trying to manage us. It's letting us do it on our own, you know, like, figure it out on your own, you know? But everything else that's showing up, seems to have its own interest at heart." (I think TD is saying that a loving/caring intelligence wouldn't try to manipulate us into doing things that just benefit THEM. And that's what appears to be going on. "They" only care about themselves. If there were ones here who truly cared about us, they would leave us alone and let us figure it on our own.) Semivan: "I tend to agree with you on this. I did a podcast a while back and somebody related to this. They were talking about why there hasn't been Disclosure? And I said, 'Well, you know, there's two sides of this story.' I said, 'You have the non human-intelligences, you know, or the phenomenon, and then you have the governments.' And I said 'Well, where the hell are the non-human intelligences in all this? Why aren't they coming out? They pretty sneakily running around, and they meet people in weird, obscured circumstances, make their experiences sound crazy. Yet, they sort of wanna be known, but they don't wanna be known.' As I mentioned to somebody once, 'They'll screw around with you but you can't take them home to meet your parents. They're not landing on the White House lawn for a reason.' I'm not quite sure what that is."

Joe Murgia

85,713 görüntüleme • 2 yıl önce

Hunt: So, who’s right on data centers? President Trump or Governor Shapiro? Fetterman: Oh, the president is actually right overall. I mean, you know, uh, we we used to be moving forward on data centers and now, I mean, he's actually scared by the polls. So I mean, what really what's really motivated by more than just the polls overall, you know, I set out I set up my message on it on data centers just a couple days on X where I'm saying it's, you know, the president happens to be right in this. You know, I think it's it's very necessary that we win the war on AI. Uh, we, I think it's necessary because AI is going to transform our world. And, you know, it can be either us be the leaders or it can be the Chinese. And we could we could live under those rules and they're going to build unlimited data centers. And they're not really, uh, really stopped by with the kind of like democracy and the kinds of rules that, that we have overall, I think it's important. And I would remind people, like a lot of the opposition is, is been driven by the ccp and a lot of a lot of influence. So I think now withwith data centers, uh, also there's the facts now that it, it consumes a very, very, maybe one tenth of 1%, you know, compared to almonds and compared to other other things, part of our economy and also our land usage as well, too. Pennsylvania, you know, we are energy rich, we are water rich. And we have we're land rich now. So I think it's an important part of our economy, not just for Pennsylvania's but also the country right now.

Acyn

204,304 görüntüleme • 13 gün önce

The most interesting part for me is where Andrej Karpathy describes why LLMs aren't able to learn like humans. As you would expect, he comes up with a wonderfully evocative phrase to describe RL: “sucking supervision bits through a straw.” A single end reward gets broadcast across every token in a successful trajectory, upweighting even wrong or irrelevant turns that lead to the right answer. > “Humans don't use reinforcement learning, as I've said before. I think they do something different. Reinforcement learning is a lot worse than the average person thinks. Reinforcement learning is terrible. It just so happens that everything that we had before is much worse.” So what do humans do instead? > “The book I’m reading is a set of prompts for me to do synthetic data generation. It's by manipulating that information that you actually gain that knowledge. We have no equivalent of that with LLMs; they don't really do that.” > “I'd love to see during pretraining some kind of a stage where the model thinks through the material and tries to reconcile it with what it already knows. There's no equivalent of any of this. This is all research.” Why can’t we just add this training to LLMs today? > “There are very subtle, hard to understand reasons why it's not trivial. If I just give synthetic generation of the model thinking about a book, you look at it and you're like, 'This looks great. Why can't I train on it?' You could try, but the model will actually get much worse if you continue trying.” > “Say we have a chapter of a book and I ask an LLM to think about it. It will give you something that looks very reasonable. But if I ask it 10 times, you'll notice that all of them are the same.” > “You're not getting the richness and the diversity and the entropy from these models as you would get from humans. How do you get synthetic data generation to work despite the collapse and while maintaining the entropy? It is a research problem.” How do humans get around model collapse? > “These analogies are surprisingly good. Humans collapse during the course of their lives. Children haven't overfit yet. They will say stuff that will shock you. Because they're not yet collapsed. But we [adults] are collapsed. We end up revisiting the same thoughts, we end up saying more and more of the same stuff, the learning rates go down, the collapse continues to get worse, and then everything deteriorates.” In fact, there’s an interesting paper arguing that dreaming evolved to assist generalization, and resist overfitting to daily learning - look up The Overfitted Brain by Erik Hoel. I asked Karpathy: Isn’t it interesting that humans learn best at a part of their lives (childhood) whose actual details they completely forget, adults still learn really well but have terrible memory about the particulars of the things they read or watch, and LLMs can memorize arbitrary details about text that no human could but are currently pretty bad at generalization? > “[Fallible human memory] is a feature, not a bug, because it forces you to only learn the generalizable components. LLMs are distracted by all the memory that they have of the pre-trained documents. That's why when I talk about the cognitive core, I actually want to remove the memory. I'd love to have them have less memory so that they have to look things up and they only maintain the algorithms for thought, and the idea of an experiment, and all this cognitive glue for acting.”

Dwarkesh Patel

1,052,518 görüntüleme • 11 ay önce

Scottie Scheffler says they didn’t find his ball on 17 and he actually asked people to stop searching for it: “The rules official said it landed just barely left of the grandstand thing. I don't know what you call that, like a sponsor area or something. And Teddy had a beat right on where it was coming down. So when we get up there, it's past the fence that marks the TIO, so he said anything that's in there is it part of the TIO. So then we said -- we tried to figure it out. I said, if I find it, does that help me; can I drop it -- since that would be about 50 yards closer to the hole. He said, yes, you can then use that spot, but you might have to go to the other side of the TIO, which I didn't know exactly where that would be, and that's not a great angle coming across there. “So decided to stop the search and go back and drop it doing point-of-entry TIO relief. Actually I did that once this year during the Byron as well. Not something I'm proud of but I was familiar with.” He went on to say: “I stopped them. They had guys pointing from up there, like it landed right here, and I just kind of hauled up there, and I was like, guys, get out of there, stop, do not find the ball. Fortunately it was my security guy that I've had for a few years here. His name is Brucey. And then Woody was up there as well. So both those guys are pretty -- I know them quite well, so when I said, please don't look for the ball, they got out of there.” The Open

Flushing It

1,780,530 görüntüleme • 1 ay önce