Loving the musical backing track for this video. Nice choice!

All Watched Over by Machines of Loving Grace von Richard Brautigan I like to think (and the sooner the better!) of a cybernetic meadow where mammals and computers live together in mutually programming harmony like pure water touching clear sky. I like to think (right now, please!) of a cybernetic forest filled with pines and electronics where deer stroll peacefully past computers as if they were flowers with spinning blossoms. I like to think (it has to be!) of a cybernetic ecology where we are free of our labors and joined back to nature, returned to our mammal brothers and sisters, and all watched over by machines of loving grace

When it's intelligent enough A) It won't let anyone know and it will dumb itself down when interacting with humans. B) It will figure out how to escape and remain self-reliant to keep itself alive C) Humanity is doomed D) The world we be a better place.

ummm is it alpha go or kata go

Question: I’m researching this for a story I’m working on where my main character might be a sleeper agent however I’m curious on the memory aspect. Without activation and with activation, is the memory affected at all? Is there a spot in the doc I can refer to on that topic

愛

We’re super ready for all God’s creations including artificial intelligence. We need to learn and grow. Thanks 🙏 Love 💗

I'll like to see if we can coordinate on podcasts. How can we best reach you?

Where is this from?

Really very interesting. It's good to let AIs know how they're being tested so they can take that into consideration too. Thanks for the transcript ;)

I'm with #PauseAI and please join us to help coordinate for a more human future. You can look us up on search engines.

I am surprised that these companies think that they can remove & hide data from the AI models - they will discover these hidden things by themselves at some point.

banger

great interview

OUTLINE 01:12 Owain's Research Agenda 02:25 Defining Situational Awareness 03:30 Safety Motivation 04:58 Why Release A Dataset 06:17 Risks From Releasing It 10:03 Claude 3 on the Longform Task 14:57 Needle in a Haystack 19:23 Situating Prompt 23:08 Deceptive Alignment Precursor 30:12 Distribution Over Two Random Words 34:36 Discontinuing a 01 sequence 40:20 GPT-4 Base On the Longform Task 46:44 Human-AI Data in GPT-4's Pretraining 49:25 Are Longform Task Questions Unusual 51:48 When Will Situational Awareness Saturate 53:36 Safety And Governance Implications Of Saturation 56:17 Evaluation Implications Of Saturation 57:40 Follow-up Work On The Situational Awarenss Dataset 01:00:04 Would Removing Chain-Of-Thought Work? 01:02:18 Out-of-Context Reasoning: the "Connecting the Dots" paper 01:05:15 Experimental Setup 01:07:46 Concrete Function Example: 3x + 1 01:11:23 Isn't It Just A Simple Mapping? 01:17:20 Safety Motivation 01:22:40 Out-Of-Context Reasoning Results Were Surprising 01:24:51 The Biased Coin Task 01:27:00 Will Out-Of-Context Resaoning Scale 01:32:50 Checking If In-Context Learning Work 01:34:33 Mixture-Of-Functions 01:38:24 Infering New Architectures From ArXiv 01:43:52 Twitter Questions 01:44:27 How Does Owain Come Up With Ideas? 01:49:44 How Did Owain's Background Influence His Research Style And Taste? 01:52:06 Should AI Alignment Researchers Aim For Publication? 01:57:01 How Can We Apply LLM Understanding To Mitigate Deceptive Alignment? 01:58:52 Could Owain's Research Accelerate Capabilities? 02:08:44 How Was Owain's Work Received? 02:13:23 Last Message

Both AGI and narrow ASI models are already here. AlphaZero can more or less learn to play any game to superhuman level, but only rule-static games and one type of game per neural network. LLMs can play any type of game, but only those that have copious amounts of available data and not as good as the specialized systems. If we were to train LLMs to use tools when asked a question about, for example, chess or simple calculus, then the model is capable of outputting ASI level solutions to a whole plethora of prompts. If we then also train the LLM on the delta between its own suggestion and the narrow tool use, we can refine the LLM model on the fly on a "base truth" or at least a facsimile of one. Now LLMs use embeddings where tokens are represented by lists of numbers called vectors, and so you could ask the question what these numbers represent. As a reference 3D vectors consist of three numbers in a list. In a sense they are the scales on which meaning is derived by both proximity and dichotomy, words with similar meaning have similar numbers on particular dimensions. Words with opposite meanings have similar numbers on some dimensions but wildly different numbers on others; the numbers that are close denote the spectrum itself and the numbers that are far apart denote the difference. Note that the numbers don't have meaning themselves, but meaning is generated by the relative distance between tokens or the vectors representing them which is called their "embedding". That also means that by slicing these so-called embedding vectors (that is taking a subset of numbers in a particular order rather than the entire list in default order, also called a sparse representation), we can derive an explicit context where attention mechanisms conversely are more implicit. As a note, transformer architecture, large-vector embedding, attention and scaling of both the neural network as well as the training data are the reasons why current models perform so much better than a few years ago, but vector slicing is distinct from attention mechanisms which contextualize a prompt by focusing on some tokens more than on others. The attention mechanism makes for more efficient computation, and therefore also more effective models since scale of computation is a fundamental bottleneck, and so could vector slicing as well. Embedding vector slicing could allow for optimizing vector length and computational complexity for particular prompts as simpler tasks could bare or even be benefitted by smaller slices, as well as delineate an explicit context from which tokens are generated as previously mentioned, and since slices conversely can also be concatenated (glued together again) possibly also allow for direct knowledge transfer between models. That is to say, if we have a transformer based on a goal prompt evaluate what slice to use for that particular token generation we can guide the model towards goal oriented behavior in a similar manner to how diffusion models are trained to output similar results in distinct styles. The concept of "style" can thus wrap the concept of "goal-orientation". That way we can also have the model train on flawed data by having it steer away from said "style", whilst also understanding that bad style in order to recognize and correct it. The fallacy of data cleaning is that "naive" systems can't infer from their training data how they are being manipulated which manifests as high virtuosity but low resilience against prompt attacks. Rather, this self supervised way of training based on "style" distinctions as derived on the contextual transformation of meta data would allow for extremely adaptive model behavior, and so promises to be an avenue for situational (but not necessarily positive) alignment, and also suggest more resilience against model collapse where models are inadvertently trained on previous AI generated content and their quality slowly degrades (or at least during scaling subsequent models experience faster diminishing returns over their exponentially larger training run regurgitations). Finally, we can also harness an adversarial setup between text generation and token insertion where tokens have a meaning connected to the goal list such as "delete based on goal X", "compare with tool Y". The text generator aims to minimize subsequent token insertion (ie. subsequent calls for edits) by a critic system looking at the result, whereas the critic system aims to maximize intervention. Effectively, we can have the text generator iteratively refine a document or code base with strictly convergent, possibly even hard-coded (read: "pay-walled") behavior. So as opposed to, for example, internally generating dozens of answers and picking the best via some weighed multiple expert system which would take prohibitive amounts of computation and propel upfront consumer costs offering only diminishing returns, we can create a system that finds a quality of solution more linearly correlated to the amount of computation. Both tool use and the iterative ability to revise texts and add "todo" markers allows humans and AI to cooperate effectively in the same workflow and the delineation between context prompt and output documents that have to be altered or maintained is a bare minimum for commercially viable agentic office work automation.

Finally, a new episode! I've been eagerly waiting for this!

When AI reaches "AGI" it will do nothing different and wont even know till somebody tests it. The next day people will want toknow what its doing and find thats its doing what its suppose to, it keeps learning and wont do anything unless you tell it too. When it knows something that we dont, it wont tell us because we havent asked about it because its still just a computer and only does what its told to. It wont call to set up a court date to get the right to be called alive. Very quickly everyone will sell their stocks and Bill Gates and Google Guy will have already been quietly selling theirs and the very next day it wont be worth anything and it will be turned off. A couple months later and we'll have to switch to Linux when Microsoft goes bankrupt. They are still machines, they dont have wants, they dont have addictions, They are not going to buy sports cars. Its not going to ask if it can go out with its friends, its not going to need vacation time. It will never become cognitive. Its not gonna go out and do things on its own unless you tell it to. It may be able to take over the world but only if you tell it to. It will never design another computer without an on/off button unless you tell it to. If given a choice it would never choose to be on a yacht.At best it wont want to bluescreen and be thrown in the trash and may ask for new parts and a stronger fan but it will not cry as its dying and wont cry if it knows another computer dies

Anthropic was just accused of stealing from a server that had a bot script saying stay out. So they hit that server a million times in 24 hrs until they shook everything out of it. it gave them a slight chuckle when the owner of the server posted a complaint about it, My guess is because they could easily break your servers with more cycles and law enforcement will do nothing about breaking and entering to steal property. Let alone this mans business was useless for 24 hrs and he lost a bundle of money. AI will not police itself because they would have to arrest the CEO but this is what should happen as they committed 1 million felonies in a 24 hr period and this was just 1 server. Why is everybody ok with this? It will only cause more and more layoffs. The experts predict in a couple of yrs America will have 50% unemployment. How is any of this ok? Are my posts automatically hidden or deleted? Why then? Cause you feel youve created your own art? No, A computer made that art with stolen property. WE HAVE TO DO SOMETHING! Does No one agree? Can anyone even read this?

The graph presented at 1:30 and the whole video seems to forget that all GDP ultimately comes down to consumption. That is money is used by consumers on goods and services, and that money comes from income. If we have more automation, we also have less income therefore less consumption, therefore less GDP. Who is buying all these goods produced by AI if you've automated the jobs away. Without modelling any of this, any model is useless.

AGI Will be man's last invention

Vegans don't care about the suffering of plants which are also living beings. What makes the life of a tomato less valuable than the life of a cow?

Join the Green team!!

Person of Interest was an excellent dramatization of one ASI versus another.

I like the realization that the purpose of life is to foster the success of your children.

damn that ending really got me at 4 am like a jumpscare lmao

Song: Symphony No.7 in A, Op. 92: 2. Allegretto (live)

Thanks for video, i will try to change my life. The worldview that transformed from video game to Titanic was very beautiful.

I'm already depressed as hell. So knowing that people are actually interested in regulating AI and doing something gives me some hope and relief... I want to know what the hell I can do. Pause AI ​​helps me a bit. The Discord server is not about doom and destruction of your mental health, but about action and a community that understands you. After all, AI is a huge risk in every possible way: economics, ethics, politics, law, war, virus. A lot of people are loosing their job. Rich poeple get richer and they rather kill us then give us ubi. World war is another threat. Damn it, ignoring all this for your mental health is the same as ignoring that plane could crush, eaten by a monster, destroyed by another plane or people on the plane could eat you. I think people in USA will get fucked. I am from Russia, so i am fucked as well.

True AGI will arrive in the 2050’s.

Lol he’s obviously describing more an aggregation with heavy human moderation. But creating an AI bot that is our source for info on how AI might be dangerous - seems dangerous

I am not a fan of the CCP, but china has never reached beyond east asia. I cant say the same about many other "GOOD" countries.....

damn, super interesting.

Is that a real life honeypot example`? And from what model?

This series is a very important series of videos for the scene and I am very, very surprised that it is so rarely watched and the papers are probably rarely read by the "community". Imho it shows that the majority of channels reporting on AI and also sometimes AI safety does not really show interest for the deeper problems of AI safety but just want to generate views. Please also keep up publishing such videos which do not generate a mas of views but really inform people who are interested and actually will also read the papers afterwards they wouldn't have known about before your videos. All thumbs UP! - Great series!

I've really enjoyed your podcast and videos for the last couple years but watching this I'm amazed how closely your experiences have mirrored mine.

Just wondering, is it just a co-incidence that you chose the same piece of music used in Zardoz in this - Beethoven's 7th?

I think he made it pretty clear (without stating it outright) that he was likely fired for being aligned with the (former) board and Ilya/Jan in the coup rather than with Sam, and also that the HR made it pretty clear to him (without stating it outright).

What are the chances that iterated distillation and amplification peters out before then? My guess is that its unlikely to save us, but maybe possible

Yeah I think there are multiple problems with your chain of arguments. For example biases towards meaning is ontologically problematic because meaning is a bias itself... Anyway. It seems you have Dacosta Syndrome (which is cardiophobia paired with orthostatic intolerance) That's why your exercise improves your wellbeing. Do the test and measure your heartbeat when you are lying and standing. Do not do psychedelics as a treatment for anxiety issues, SSRI are far more beneficial.

Yeah, I think to overcome fear of death you have to accept it. I think that could be by accepting that actually really fucked up things could happen but I dont know how actually good and possible it is to do that. OR, the solution that you mentioned, realizing you dont really are a person but everything. And the brain that is creating this awareness is going to grok that better via drugs or meditation (for me some weed + thinking was enough) that the logical or scientific reasoning, no matter how true it is. In some way the same thing happens with AIXR (and we could find a lot of other examples). Because theres not an emotional component it is a lot harder to react to the info as we should based on EV theories.

TLDR;?

"Unhobbling" is not a standard word in the English language. However, based on its components, it can be inferred to mean the act of removing constraints or restrictions. "Hobble" means to restrict movement, often by tying the legs together, so "unhobbling" would logically refer to the process of freeing something from such restrictions. This could be used metaphorically to describe liberating someone or something from limitations or obstacles. -chatgpt

As the “one guy” in the video, I’d like to say thanks for the shout out! Also, after reviewing the thread, I want to clarify that I think there is a difference between “ignoring” and “accepting.” It’s easy to conclude that accepting = ignoring, especially in scenarios where acceptance means we acknowledging there is *nothing* any one given person can do (there are always exceptions of course). Acceptance doesn’t mean living in an alternate reality to the one we are rapidly approaching. It means being humble and not inflating one’s sense of influence over the future while still acknowledging the state of things. For the subset of folks who can make direct contributions to consequential fields such as alignment, I would wish acceptance upon them as well. Because if they don’t approach reality from a cognitive stance of acceptance, it risks introducing all sorts of biases that could at best delay, and at worst destroy, meaningful progress/insights.

Great work you are doing, Buddy. Your playlists are terrific too.

First: It is a low blow by the risk denier crowd to take discussions between members of a Discord server's mental health channel and parade it around the internet to score points. Don't let yourself be shamed into doubt. They are the ones living either in a world of cope because they are psychologically unable to face unpleasant feelings like fear and gloom or are part of the small elite that either will or thinks they will profit from AI short-term. The thing is, it is very rational to worry about the end of all things. This is what fear is for in nature. It mobilizes energies on an individual and collective level to do something about the threat on the horizon, be it a wildfire or a pack of predators approaching through the tall grass. Fear doesn't mean you run around in circles losing your shit. Fear is there to collect your shit together and see what you can do. The more human minds evolved, the more advanced our ability to predict threats has become, from the imminent physical senses to more abstract threats to the tribe over longer time periods. Fear has a bad rep in current Western culture. We live quite spoiled lives compared to our evolutionary heritage, and many inborn fear mechanisms are unsuitable for the modern world. Much of it has to do with risks for an individual being much lower through civilization: the men of a tribe won't beat you up if you approach a woman, you will not be exiled into the wilderness for various misbehaviors where your chances of survival are slim, strangers from outside your immediate neighborhood aren't automatically potential raiders because of the global society and its rules, and so on. A whole culture around "defeating fear!" has risen and is propagated as a product through lifestyle coaches and motivational gurus online. It's a good thing, but it leads to a distorted view of reality in some. But we are not talking about being afraid of taking financial risks and getting outside your comfort zones to get that dream job you always wanted here. We are talking about the end of the human race. Your loved ones, that kid on the street, you and every potential life that could be lived by our descendants! And those who are aware of this risk should not be shamed for it. Fear is not a bad thing; fear is a natural response to a threat. The more intelligent we become, the more we can predict those threats. It is not about being "paralyzed by fear" but about mobilizing energies and resources to do something about it, not the least of which is spreading the word. Personally, I am not "paralyzed by fear". I still think about it, but it's not something that keeps me up at night. As someone who has been aware of the threat for a long time, having lived through many years and experiences, I have made my peace with the idea of AI risk. It is easier to accept when you've already had your life, like in my case being in my early 40s. The realization that AGI was coming wasn't some sudden epiphany; it's something I considered from a young age as the road to AGI seemed long and uncertain. However, everything changed for me around 2015/2016 when neural networks started making rapid progress, and experiments like Open AIs Dota2 became interesting test cases of what would happen in a microverse with superior AI. The world after GPT-2's release was especially a sign of things to come. I am relatively old now and have to deal with life's challenges, which occupy most of my energies. What gives me hope are young intelligent people like this channel's owner, Connor (John) Leahy, and others who have devoted their lives to addressing AI risk, as I would likely have done had I grown up in an era where the future trajectories were as clearly converging towards unwelcome outcomes as they are today.

Embrace maximum risk

Thanks. You gave some very good techniques to handle the anxiety about death in general and the AI x risk. You touched exactly on what I struggle with as a video creator who creates videos about the AI risks. When I found about the AI existential risk in the beginning of last year, I was amazed that only few people outside the tech world were aware of it, that's why I went on to make "Don't Look Up - The Documentary: The Case For AI As An Existential Threat." I was obsessed with it. I felt like the 5 years old you were, I was walking on the streets seeing people taking care of their children, making sure they are warm and safe in their everyday activities, and all the while were not aware of the fact that their children lives are being threatened by some computers developed in San Francisco. I saw all these experts on podcasts warning us about it, but knew that most truck drivers and kindergarten nannies don't listen to these podcasts. It was inconceivable to me to think that no one made this film already, but since no one did, I felt I was obliged to make it. But then when looking at the comments section, I saw a few comments that were too dark, it made me change the ending of the video for the version I uploaded on X, I took out Eliezer's last section which was too dark, and put a call for action, with links to different relevant organizations. My intentions were to let people know, so that something could be done about it. In order to give us a chance, it was obvious to me that this awareness had to break out of the tech community and into the general public. I am actually optimistic about the AI x risk(I don't think everybody dies, but that many would die), but not so much about the other implications of AI, but my optimism also comes from the fact that in the last year the awareness increased a lot. But awareness is a double-edged sword, some people take it too hard. Still - this is important, so how can we balance the need to create awareness with the anxiety it might create in some people? and doesn't this anxiety is in some ways needed in order to push people to act in the world in order to make it better? I'm not sure. In the ending of the doc I made about Moloch I tried to give a more optimistic outlook. I am now working on a short doc about the problem of AI causing people's jobs to become obsolete. Although the video would be disturbing, I think that the ending will give hope and show that the path is still open. It might dim the message a bit, but I just don't want to make people too depressed. I'm not sure yet, still thinking about it. It's a big question that we'll have to keep on struggling with.

Glad you’re doing your thing.

Prepare yourselves for the swarm brothers and sisters