Dionysis

777 posts

Dionysis

Dionysis

@dathin_

Beigetreten Haziran 2011
75 Folgt30 Follower
Dionysis
Dionysis@dathin_·
@PageauJonathan The source of the symptom that Gavin exhibits is that he can not see the way the one and many can be One. One statement has to be absolute and that’s that. The one truth that excludes all difference. Dogma is by definition like that. McGilChrist is relevant here.
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Jonathan Pageau
Jonathan Pageau@PageauJonathan·
Who can be saved? I had a discussion with Gavin Ortlund about the Orthodox Church's position on salvation outside the church.
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Dionysis
Dionysis@dathin_·
@Apostologia I guess someone that represents anti Christian qualities of character while arguing for Christianity is ok for you as long as he is winning people over? But think about it, if greed is the gateway are they really entering the Tradition in anything but name?
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Dionysis
Dionysis@dathin_·
@Michaeldudufudu Debating technique over developing the qualities of the soul indeed. Ego inflation and self deception to the max.
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Michael Orthodox ☦
Michael Orthodox ☦@Michaeldudufudu·
Jay Dyer makes us Orthodox Christians look terrible. I unironically believe he's a great debater but hes a bad representative of Orthodoxy online due to how uncharitable he is.
Michael Orthodox ☦ tweet media
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Dionysis
Dionysis@dathin_·
@ElonFinkelstein @Rainmaker1973 I honestly thought maybe the Ukrainian player had a backstory on why he really needed the money or something similar. To people saying this is about passion: No, this is about misplaced passion and idolatry.
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Massimo
Massimo@Rainmaker1973·
This is what it looks like when the winner feels sorry for the loser. Ukrainian chess player Vassily Ivanchuk and his reaction to losing at the World Blitz Chess Championship vs US player Daniel Naroditsky.
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Dionysis@dathin_·
@SRFielding72 @piersmorgan This whole thing is like an optical illusion. You watch the whole discussion and what you see is your reflection. For all his flows Brand is describing Piers’ mind frame during the interview with crystal clear clarity.
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Stephen Fielding
Stephen Fielding@SRFielding72·
@piersmorgan Two clips that make this interview worthy of an award for you and your team, and sectioning for Brand.
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Piers Morgan
Piers Morgan@piersmorgan·
I knew my Russell Brand interview would be an interesting experience when he insisted on saying a prayer for both of us before we started.
Piers Morgan tweet media
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Dionysis
Dionysis@dathin_·
@karpathy Interesting but you have to be mindful that this store of **information** (not knowledge, it has never been more important to distinguish between information, belief and knowledge) is to a huge degree unverified, verbose and full of mistakes and even contains made up stuff.
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Andrej Karpathy
Andrej Karpathy@karpathy·
LLM Knowledge Bases Something I'm finding very useful recently: using LLMs to build personal knowledge bases for various topics of research interest. In this way, a large fraction of my recent token throughput is going less into manipulating code, and more into manipulating knowledge (stored as markdown and images). The latest LLMs are quite good at it. So: Data ingest: I index source documents (articles, papers, repos, datasets, images, etc.) into a raw/ directory, then I use an LLM to incrementally "compile" a wiki, which is just a collection of .md files in a directory structure. The wiki includes summaries of all the data in raw/, backlinks, and then it categorizes data into concepts, writes articles for them, and links them all. To convert web articles into .md files I like to use the Obsidian Web Clipper extension, and then I also use a hotkey to download all the related images to local so that my LLM can easily reference them. IDE: I use Obsidian as the IDE "frontend" where I can view the raw data, the the compiled wiki, and the derived visualizations. Important to note that the LLM writes and maintains all of the data of the wiki, I rarely touch it directly. I've played with a few Obsidian plugins to render and view data in other ways (e.g. Marp for slides). Q&A: Where things get interesting is that once your wiki is big enough (e.g. mine on some recent research is ~100 articles and ~400K words), you can ask your LLM agent all kinds of complex questions against the wiki, and it will go off, research the answers, etc. I thought I had to reach for fancy RAG, but the LLM has been pretty good about auto-maintaining index files and brief summaries of all the documents and it reads all the important related data fairly easily at this ~small scale. Output: Instead of getting answers in text/terminal, I like to have it render markdown files for me, or slide shows (Marp format), or matplotlib images, all of which I then view again in Obsidian. You can imagine many other visual output formats depending on the query. Often, I end up "filing" the outputs back into the wiki to enhance it for further queries. So my own explorations and queries always "add up" in the knowledge base. Linting: I've run some LLM "health checks" over the wiki to e.g. find inconsistent data, impute missing data (with web searchers), find interesting connections for new article candidates, etc., to incrementally clean up the wiki and enhance its overall data integrity. The LLMs are quite good at suggesting further questions to ask and look into. Extra tools: I find myself developing additional tools to process the data, e.g. I vibe coded a small and naive search engine over the wiki, which I both use directly (in a web ui), but more often I want to hand it off to an LLM via CLI as a tool for larger queries. Further explorations: As the repo grows, the natural desire is to also think about synthetic data generation + finetuning to have your LLM "know" the data in its weights instead of just context windows. TLDR: raw data from a given number of sources is collected, then compiled by an LLM into a .md wiki, then operated on by various CLIs by the LLM to do Q&A and to incrementally enhance the wiki, and all of it viewable in Obsidian. You rarely ever write or edit the wiki manually, it's the domain of the LLM. I think there is room here for an incredible new product instead of a hacky collection of scripts.
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Dionysis
Dionysis@dathin_·
@birchlse Read the paper. This is not uploading in any way.
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Jonathan Birch
Jonathan Birch@birchlse·
This is a more likely path to artificial consciousness than LLMs, in my view.
Michael Andregg@michaelandregg

We've uploaded a fruit fly. We took the @FlyWireNews connectome of the fruit fly brain, applied a simple neuron model (@Philip_Shiu Nature 2024) and used it to control a MuJoCo physics-simulated body, closing the loop from neural activation to action. A few things I want to say about what this means and where we're going at @eonsys. 🧵

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Dionysis@dathin_·
@jhendersonYT We know what consciousness is because we are. We also know what digital computer architecture is down to the smallest scale and that it is observer relative and thus incapable of having understanding, as per John Searle.
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Jared Henderson
Jared Henderson@jhendersonYT·
I’m not trying to be cute/contrarian here. When people claim LLMs are conscious/capable of being conscious, what is the operative theory of consciousness here? Same question for those who say they aren’t/it isn’t possible. Right now I simply have no idea what people mean.
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Dionysis@dathin_·
@LedermanHarvey Have you practiced the phenomenological method? As you are a philosopher it might be your only way out of what amounts to an intellectual pathology. I recommend Henri Bortoft’s two books and ‘History of the Concept of Time’ by Heidegger.
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Dionysis
Dionysis@dathin_·
@PageauJonathan @tjskene @JonathanPageau I think this point, the unity of the one and the many as One, is very difficult for many but crucial. But I see Christians consider creation as “separate” from God which I find really problematic. It’s not His fullness but not separate either as that would break the One, right?
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Jonathan Pageau
Jonathan Pageau@PageauJonathan·
Reflections on the Void: negativity and difference in the Bible and contemporary thinking: youtu.be/10DS7IxOVro In this video I try to circle around something that is very difficult to speak about directly — the void. From the opening verses of Genesis, where the earth is described as “empty and void,” we are confronted with a mystery that runs through Scripture, philosophy, and our own experience. What is the “not that” which underlies being? Why has the modern world become so fascinated with negativity, difference, and alterity? And how do we understand the necessary — yet possibly dangerous — role of emptiness in the structure of reality?
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YouTube
Jonathan Pageau tweet media
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Dionysis
Dionysis@dathin_·
@dhh Nice! Worked on my Omarchy laptop for the first time during a holiday (on a Thinkpad I got for £260!) and it was a wonderful experience. Still doing my main work on my Mac Studio but I am already missing the custom window management setup..
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DHH
DHH@dhh·
Omarchy 3.4 will ship with a new Remove > Preinstalls option, so purists can get that barren default setup they've been asking for. Just Neovim, terminals, browser, media readers, and the defaults. Take it, heathens!
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Dionysis
Dionysis@dathin_·
@AndyWilson55072 @elonmusk Doesn’t work though. I remember discussing this with the LessWrong crowd. It is more of an illusion of rationality because no one really tracks the numbers and the assignment is intuitive anyway. Its only real value is giving an intuition against black and white thinking.
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Lorenzo Wilson
Lorenzo Wilson@AndyWilson55072·
@elonmusk Bayes' theorem is the closest thing we have to a rationality cheat code. Update beliefs with evidence, not emotion. Wish more people (and institutions) actually used it. Thanks for the reminder, Elon."
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Elon Musk
Elon Musk@elonmusk·
Think in probabilities
Math Files@Math_files

Bayes’ theorem is probably the single most important thing any rational person can learn. So many of our debates and disagreements that we shout about are because we don’t understand Bayes’ theorem or how human rationality often works. Bayes’ theorem is named after the 18th-century Thomas Bayes, and essentially it’s a formula that asks: when you are presented with all of the evidence for something, how much should you believe it? Bayes’ theorem teaches us that our beliefs are not fixed; they are probabilities. Our beliefs change as we weigh new evidence against our assumptions, or our priors. In other words, we all carry certain ideas about how the world works, and new evidence can challenge them. For example, somebody might believe that smoking is safe, that stress causes mouth ulcers, or that human activity is unrelated to climate change. These are their priors, their starting points. They can be formed by our culture, our biases, or even incomplete information. Now imagine a new study comes along that challenges one of your priors. A single study might not carry enough weight to overturn your existing beliefs. But as studies accumulate, eventually the scales may tip. At some point, your prior will become less and less plausible. Bayes’ theorem argues that being rational is not about black and white. It’s not even about true or false. It’s about what is most reasonable based on the best available evidence. But for this to work, we need to be presented with as much high-quality data as possible. Without evidence—without belief-forming data—we are left only with our priors and biases. And those aren’t all that rational.

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Dionysis
Dionysis@dathin_·
@vjbento @ThePrimeagen What other solution would you offer? Projects are getting flooded by poorly realised AI PRs. Being open only works if there is some kind of natural barrier and that barrier is gone so.. 🤷‍♂️
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Victor Bento
Victor Bento@vjbento·
@ThePrimeagen Oh nice! A tool for tracking, canceling and excluding people. And it propagates throughout various projects? Thanks big brother. What a dream.
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ThePrimeagen
ThePrimeagen@ThePrimeagen·
this is a really good
Mitchell Hashimoto@mitchellh

AI eliminated the natural barrier to entry that let OSS projects trust by default. People told me to do something rather than just complain. So I did. Introducing Vouch: explicit trust management for open source. Trusted people vouch for others. github.com/mitchellh/vouch The idea is simple: Unvouched users can't contribute to your projects. Very bad users can be explicitly "denounced", effectively blocked. Users are vouched or denounced by contributors via GitHub issue or discussion comments or via the CLI. Integration into GitHub is as simple as adopting the published GitHub actions. Done. Additionally, the system itself is generic to forges and not tied to GitHub in any way. Who and how someone is vouched or denounced is up to the project. I'm not the value police for the world. Decide for yourself what works for your project and your community. All of the data is stored in a single flat text file in your own repository that can be easily parsed by standard POSIX tools or mainstream languages with zero dependencies. My hope is that eventually projects can form a web of trust so that projects with shared values can share their vouch lists with each other (automatically) so vouching or denouncing a person in one project has ripple effects through to other projects. The idea is based on the already successful system used by @badlogicgames in Pi. Thank you Mario. Ghostty will be integrating this imminently.

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Dionysis
Dionysis@dathin_·
@Sam_kuyp The only “natural” thing about it is that it is consistent with physics. It is an unprovable attempt to retain materialist, scientific realist metaphysics and it is so crazy that you are better off letting go.
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Sam
Sam@Sam_kuyp·
Every time I return to many-worlds, it seems so natural, so consistent with the rest of physics, and so perfectly attuned to the mathematics of quantum theory, measurement, and entanglement, that I find myself genuinely puzzled as to why it remains so controversial.
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George
George@_georgebaran·
Reminder that in the context of the double split experiment, observation is not the act of a conscious observer witnessing it, but rather, it's the interaction itself inherent to measuring something experimentally that influences the outcome. This misconception continues to persist in popular culture and I've seen it used to argue a number of pretty crazy ideas.
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David Sinclair
David Sinclair@davidasinclair·
The double slit experiment is one of the weirdest results ever. Particles don’t have a position until they are observed. New @nature paper shows this is true for molecules with as many as 7000 atoms. Someone should definitely try this with viruses nature.com/articles/d4158…
David Sinclair tweet media
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Dionysis
Dionysis@dathin_·
@dhh @ErgoDoxEZ is what you need. You just have to find your way to it 😌
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DHH
DHH@dhh·
I find it utterly fascinating how a $119 mechanical keyboard has managed to bring me more joy than, say, cars I've spent 1000x as much on. Life isn't linear. lofree.co/products/lofre…
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Dionysis
Dionysis@dathin_·
@PaulVanderKlay Until we can verify the claims I have to say I trust Oliver Sacks way more than @sapinker and magazines.
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Michael Levin
Michael Levin@drmichaellevin·
Check out our continuously updating page for the Platonic Space symposium thoughtforms.life/platonic-space… - some great new talks added recently. @DrTomFroese, @KarlFristonNews, @ThouArtThat, @blaiseaguera, J. P. Aguilera (scholar.google.com/citations?user…), @akarshkumar0101, Chris Fields (chrisfieldsresearch.com), Lauren Ross (sites.socsci.uci.edu/~rossl/), Lucy Spouncer (lucyspouncer.uk), Mariana Emauz Valdetaro (mvtta.github.io), @okw, Ben Lyons (interestingessays.substack.com), Alexey Tolchinsky (montgomerycountypsychologist.com/about), Joel Dietz (connection.mit.edu/people/joel-di…), and more coming!
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