Video wird geladen...

Video konnte nicht geladen werden

Beim Laden dieses Videos ist ein Problem aufgetreten. Dies könnte an einem vorübergehenden Netzwerkproblem liegen oder das Video ist möglicherweise nicht verfügbar.

1/ Can molecular AI move past hard-coded Graph Neural Networks and embrace scalable Transformers that discover molecular structure on their own? We demonstrate that you can train a 1B parameter Transformer model without any graph priors or physical inductive biases. And surprisingly, not only can it maintain competitive performance... under equal compute on the Open Molecules 2025 dataset… it’s faster than a 6M parameter equivariant GNN, and exhibits scaling laws that don’t saturate. We use this as a starting point to investigate emergent internal representations, and find that it adaptively discovers molecular structure! Check out the interactive demo on our website: And our paper: In collaboration with Toby Kreiman, Yutong Bai, Fadi, Elizabeth, and Eric Qu. Here’s a video showing how the Transformer learns distance-aware attention patterns (purple gradient) that adapt to atomic environments 👇show more

Aditi Krishnapriyan

1,085 subscribers

39,468 Aufrufe • vor 9 Monaten •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

0 Kommentare

Keine Kommentare verfügbar

Kommentare vom Original-Post werden hier angezeigt

Ähnliche Videos

On net, is our biological hardware a help or hindrance to our intelligence? Are GPUs are to brains what fingers are to robot motors, and there’s a bunch of cognitive dexterity that our brain is uniquely good at implementing? Ala Morevac’s paradox, evolution has spent way more time optimizing nanotech than the semiconductor industry has. Or maybe it's something structural: the brain can do unstructured sparsity, and can colocate memory and compute. Or is it the other way around, because with digital computers, we can get rid of all these biological handicaps: The brain operates on a 20 W budget (and consequently runs at only 200 Hz speed in order to accommodate small voltage gaps). And it needs to do all this crazy intense molecular machinery in order to do things that take trivial amounts of code in computers: for example, update this parameter to this value. Net net, does current biological or digital computing hardware win out? I asked Adam Marblestone:

On net, is our biological hardware a help or hindrance to our intelligence? Are GPUs are to brains what fingers are to robot motors, and there’s a bunch of cognitive dexterity that our brain is uniquely good at implementing? Ala Morevac’s paradox, evolution has spent way more time optimizing nanotech than the semiconductor industry has. Or maybe it's something structural: the brain can do unstructured sparsity, and can colocate memory and compute. Or is it the other way around, because with digital computers, we can get rid of all these biological handicaps: The brain operates on a 20 W budget (and consequently runs at only 200 Hz speed in order to accommodate small voltage gaps). And it needs to do all this crazy intense molecular machinery in order to do things that take trivial amounts of code in computers: for example, update this parameter to this value. Net net, does current biological or digital computing hardware win out? I asked Adam Marblestone:

Dwarkesh Patel

26,451 Aufrufe • vor 6 Monaten

Our vision is for AI that uses world models to adapt in new and dynamic environments and efficiently learn new skills. We’re sharing V-JEPA 2, a new world model with state-of-the-art performance in visual understanding and prediction. V-JEPA 2 is a 1.2 billion-parameter model, trained on video, that can enable zero-shot planning in robots—allowing them to plan and execute tasks in unfamiliar environments. Learn more about V-JEPA 2 ➡️ As we continue working toward our goal of achieving advanced machine intelligence (AMI), we’re also releasing three new benchmarks for evaluating how well existing models can reason about the physical world from video. Learn more and download the new benchmarks ➡️

Our vision is for AI that uses world models to adapt in new and dynamic environments and efficiently learn new skills. We’re sharing V-JEPA 2, a new world model with state-of-the-art performance in visual understanding and prediction. V-JEPA 2 is a 1.2 billion-parameter model, trained on video, that can enable zero-shot planning in robots—allowing them to plan and execute tasks in unfamiliar environments. Learn more about V-JEPA 2 ➡️ As we continue working toward our goal of achieving advanced machine intelligence (AMI), we’re also releasing three new benchmarks for evaluating how well existing models can reason about the physical world from video. Learn more and download the new benchmarks ➡️

AI at Meta

309,942 Aufrufe • vor 1 Jahr

Israelis on the left and right are divided on many issues, but at least one thing unites them. The belief that Palestinians hate them and will continue to hate them, and that therefore they cannot be trusted. It’s not just Bibi. The majority, even on the left, are deeply sceptical. This is a tragedy. As Palestinians, we have the power to shatter this stereotype. To show Israelis that trust is possible, that coexistence isn’t a dream, that we don’t harbour any ill will. And once we do that, we will see those sentiments reciprocated. We need a reset. And honestly I don’t think it’s as difficult as people make out. Once we gain each other’s trust, we can move ahead with a political resolution that will end this conflict once and for all. We have a history, I’m well aware. But it needn’t determine our future.

Israelis on the left and right are divided on many issues, but at least one thing unites them. The belief that Palestinians hate them and will continue to hate them, and that therefore they cannot be trusted. It’s not just Bibi. The majority, even on the left, are deeply sceptical. This is a tragedy. As Palestinians, we have the power to shatter this stereotype. To show Israelis that trust is possible, that coexistence isn’t a dream, that we don’t harbour any ill will. And once we do that, we will see those sentiments reciprocated. We need a reset. And honestly I don’t think it’s as difficult as people make out. Once we gain each other’s trust, we can move ahead with a political resolution that will end this conflict once and for all. We have a history, I’m well aware. But it needn’t determine our future.

Samer Sinijlawiسامر السنجلاوي

96,706 Aufrufe • vor 11 Monaten

Early on, Dame Daphne Sheldrick discovered that the mothering of an orphaned elephant needs to be shared. Elephants can form over-attachments to any one individual and if their presence is missed, and orphan can fall into a deep depression and rapidly lose condition. It's why we have a whole team of caregivers caring for the orphans (that and it takes many hands to feed the orphans). It gives our Keepers extended time at home with their own families, and it means every orphan comes to know every Keeper, so that any one Keeper's absence is understood as a break, not another loss. We believe if we work together, we can have a bigger impact for wildlife. Find out how you can play a role:

Early on, Dame Daphne Sheldrick discovered that the mothering of an orphaned elephant needs to be shared. Elephants can form over-attachments to any one individual and if their presence is missed, and orphan can fall into a deep depression and rapidly lose condition. It's why we have a whole team of caregivers caring for the orphans (that and it takes many hands to feed the orphans). It gives our Keepers extended time at home with their own families, and it means every orphan comes to know every Keeper, so that any one Keeper's absence is understood as a break, not another loss. We believe if we work together, we can have a bigger impact for wildlife. Find out how you can play a role:

Sheldrick Wildlife Trust

22,772 Aufrufe • vor 1 Monat

Give your voice agents a face. Introducing Lemon Slice-2 – the world's first interactive talking AI video model Think of it as a face layer for your voice agents, available today in production as an API or an embeddable widget. What makes Lemon Slice-2 great: → Easy: All you need is 1 photo → Expressive: hands and full body motion → Any character and style: if it has a face, Lemon Slice-2 can animate it Under the hood: we trained a custom, 20B-parameter video diffusion transformer, streaming at 20fps on a single GPU. Infinite-length video generation with no error accumulation. Talk to the demo avatars on our homepage. Or, add your own interactive avatar to your website. Companies and creators are already building video agents that are: → Customer support agents who screen-share and show you where to click → Lead qualification agents that replace forms with real conversations → AI personal shoppers who try on clothes and guide purchases People don't engage with chat bubbles. They engage with faces. And now you can have a 24/7 spokesperson that’s the face of your brand. We’ve partnered with , Daily, and Modal to make this happen. As part of this launch, we’re giving away a guide: “How to Add a High-Converting Video Agent to Your Website in under 10 Minutes” Retweet and comment "LEMON SLICE" below and I'll send it over 🍋

Lina Colucci

1,162,861 Aufrufe • vor 7 Monaten

This is how you can get programmatic access to any website. You need two things: 1. The URL of the website 2. A prompt specifying what you want to do on the site Mino is a neat platform that uses browser automation and AI-powered navigation to understand your prompt, open the website, and extract the information you want. This opens the doors to unlimited potential automations you could build using data from everyday websites that don't give you an API. Mino uses AI to go way further than you could get by using a regular web scraping tool: • It can handle dynamic JavaScript content • It can handle login walls • It can navigate through interactive booking flows • It adapts to different interfaces and layout changes • It can fill out forms automatically • It supports stealth browser mode In my experience, running Mino on relatively straightforward sites takes about 30-60 seconds to complete. The more times you run it, the faster it gets. I recorded a quick video to show you the platform. You can check their site here: Thanks to the team for the support, onboarding me on their platform, and the collaboration on this post.

This is how you can get programmatic access to any website. You need two things: 1. The URL of the website 2. A prompt specifying what you want to do on the site Mino is a neat platform that uses browser automation and AI-powered navigation to understand your prompt, open the website, and extract the information you want. This opens the doors to unlimited potential automations you could build using data from everyday websites that don't give you an API. Mino uses AI to go way further than you could get by using a regular web scraping tool: • It can handle dynamic JavaScript content • It can handle login walls • It can navigate through interactive booking flows • It adapts to different interfaces and layout changes • It can fill out forms automatically • It supports stealth browser mode In my experience, running Mino on relatively straightforward sites takes about 30-60 seconds to complete. The more times you run it, the faster it gets. I recorded a quick video to show you the platform. You can check their site here: Thanks to the team for the support, onboarding me on their platform, and the collaboration on this post.

Santiago

31,742 Aufrufe • vor 7 Monaten

We just open-sourced Simulang, a JavaScript library that gives you and your coding agents the ability to fully control computers. Simulang is our scripting framework for desktop automation. It allows you to write deterministic computer use code that can be replayed dozens if not hundreds of times. Much faster and cheaper, compared to LLM agents. It ships with a skill out of the box. That means you can turn natural language prompts into Simulang code directly, and your agent can now see the screen, click, type, and navigate. It gives your AI agents eyes and hands to control the computer like humans do. Try these things with Simulang: - upload your pile of invoices to the expense platform - find 50 people with specific criteria on LinkedIn - open your calculator app and do some math - find all buttons on your favorite app using accessibility tree - or draw a bunny with MS paint 🐰 In this demo, we show how Simulang took over when the coding agent couldn’t open and click on the target LinkedIn profile page. Give it a try:

Simular

14,362 Aufrufe • vor 2 Monaten

At the molecular level, biological materials like silk and collagen defy conventional logic by building exceptional strength from intrinsically weak chemical interactions: Hydrogen bonds, π–π stacking, and hydrophobic forces. In our latest paper "Design and sustainability of polypeptide material systems" (Yorke, Yang, Knowles, Buehler, et al., Nature Reviews Materials, 2025) we decode how these subtle interactions cooperatively form dynamic, adaptive networks that yield materials tougher than steel per unit weight. Sophisticated reasoning across scales and disciplines is critical and is facilitated by ever-growing capabilities in physics-based modeling, in-situ experimentation, and AI. Methods like transformer architectures, graph-based models, and generative strategies yield unprecedented insights into molecular-to-macroscopic connections. By learning and emulating Nature’s hidden biological principles, we can design next-generation sustainable materials - fully biodegradable yet superior in performance - transforming what is possible in materials engineering. This shifts our paradigm: It's not about stronger bonds - it's about orchestrated, self-aware and intelligent structures. Thank you Sarah Yorke, Zhenze Yang 杨镇泽, Elizabeth Wiita, Ayaka Kamada and Tuomas Knowles for this great collaboration! nature naturePortfolio

At the molecular level, biological materials like silk and collagen defy conventional logic by building exceptional strength from intrinsically weak chemical interactions: Hydrogen bonds, π–π stacking, and hydrophobic forces. In our latest paper "Design and sustainability of polypeptide material systems" (Yorke, Yang, Knowles, Buehler, et al., Nature Reviews Materials, 2025) we decode how these subtle interactions cooperatively form dynamic, adaptive networks that yield materials tougher than steel per unit weight. Sophisticated reasoning across scales and disciplines is critical and is facilitated by ever-growing capabilities in physics-based modeling, in-situ experimentation, and AI. Methods like transformer architectures, graph-based models, and generative strategies yield unprecedented insights into molecular-to-macroscopic connections. By learning and emulating Nature’s hidden biological principles, we can design next-generation sustainable materials - fully biodegradable yet superior in performance - transforming what is possible in materials engineering. This shifts our paradigm: It's not about stronger bonds - it's about orchestrated, self-aware and intelligent structures. Thank you Sarah Yorke, Zhenze Yang 杨镇泽, Elizabeth Wiita, Ayaka Kamada and Tuomas Knowles for this great collaboration! nature naturePortfolio

Markus J. Buehler

24,047 Aufrufe • vor 1 Jahr

$NBIS cofounder Roman Chernin describes how their recent acquisitions of Eigen AI and Clarifai were all about speed, incredible talent, and acceleration: "The philosophy is very simple. We need to build so many things, and we need to move so fast, that we're always looking for people who can accelerate us. It should be exceptional talent, and/or something that has a great adoption." "Our two recent acquisitions [were] two teams that work on inference optimization. A big part of our business is how efficiently we convert GPUs into tokens. And these two teams — Eigen AI and Clarifai — one is focused on model optimization, the engine of inference. How you run specific models and all the techniques around spec decoding, quantization, and so on." "And the other is system optimization. All the routing, KV caching, and orchestration across the big cluster of compute and so on." "We have a very strong internal team working on inference. But we felt that we needed to move faster, bring more capabilities. Because the market is so fast."

$NBIS cofounder Roman Chernin describes how their recent acquisitions of Eigen AI and Clarifai were all about speed, incredible talent, and acceleration: "The philosophy is very simple. We need to build so many things, and we need to move so fast, that we're always looking for people who can accelerate us. It should be exceptional talent, and/or something that has a great adoption." "Our two recent acquisitions [were] two teams that work on inference optimization. A big part of our business is how efficiently we convert GPUs into tokens. And these two teams — Eigen AI and Clarifai — one is focused on model optimization, the engine of inference. How you run specific models and all the techniques around spec decoding, quantization, and so on." "And the other is system optimization. All the routing, KV caching, and orchestration across the big cluster of compute and so on." "We have a very strong internal team working on inference. But we felt that we needed to move faster, bring more capabilities. Because the market is so fast."

TBPN

30,486 Aufrufe • vor 2 Monaten

I asked Garry Tan how to use meta prompting to get better at AI: "My partners at YC Jared Friedman and Pete Koomen showed me how to do this. You can take almost anything that you do all the time and just drop it into a context window. And then say, “Here’s a bunch of inputs and outputs." And maybe you also add a bunch of notes. And then you tell it, “Write me a prompt that can act as an agent that takes this input and makes this output over here.” You can do this for almost any type of knowledge work. And you can even introspect. "What are things you notice that I did to convert this from the input to the output?”. And then you can just start using the prompt. Initially, it’s going to suck. Because it’s just not that smart yet. But what’s funny is now, I also use it to Iterate my writing. You can be very direct, "I would never say that", "Don’t say it like this", or "Oh, you used the long word there, use the short word". Just speak to it conversationally. And then when you're happy with the output, you can use that new output to make a new prompt. "Based on this conversation, give me a better initial prompt that incorporates all the things we talked about." And you can do this with literally everything. And in theory, there’s so much it applies to that people do day-to-day. You could use it for tweets. You could use it for editing podcasts. You can use it for pretty much everything. I have a folder of prompts that I use all the time. My YouTube prompt is on v27 or something. I'll go through this process with all the different max models. I'll use GPT 5.2 Pro. I’ll use Grok. I'll use Claude. Then, I’ll take all the outputs from all the models and put them into Claude and say "Here’s my prompt, here’s the output from four LLMs, including yourself. Rate each response and tell me what the pros and cons of each approach are." And I usually say "give it to me in numbered form". And then you can agree with one, disagree with two, tell it three is this or that. And then after that, you say given all of this, synthesize it."

I asked Garry Tan how to use meta prompting to get better at AI: "My partners at YC Jared Friedman and Pete Koomen showed me how to do this. You can take almost anything that you do all the time and just drop it into a context window. And then say, “Here’s a bunch of inputs and outputs." And maybe you also add a bunch of notes. And then you tell it, “Write me a prompt that can act as an agent that takes this input and makes this output over here.” You can do this for almost any type of knowledge work. And you can even introspect. "What are things you notice that I did to convert this from the input to the output?”. And then you can just start using the prompt. Initially, it’s going to suck. Because it’s just not that smart yet. But what’s funny is now, I also use it to Iterate my writing. You can be very direct, "I would never say that", "Don’t say it like this", or "Oh, you used the long word there, use the short word". Just speak to it conversationally. And then when you're happy with the output, you can use that new output to make a new prompt. "Based on this conversation, give me a better initial prompt that incorporates all the things we talked about." And you can do this with literally everything. And in theory, there’s so much it applies to that people do day-to-day. You could use it for tweets. You could use it for editing podcasts. You can use it for pretty much everything. I have a folder of prompts that I use all the time. My YouTube prompt is on v27 or something. I'll go through this process with all the different max models. I'll use GPT 5.2 Pro. I’ll use Grok. I'll use Claude. Then, I’ll take all the outputs from all the models and put them into Claude and say "Here’s my prompt, here’s the output from four LLMs, including yourself. Rate each response and tell me what the pros and cons of each approach are." And I usually say "give it to me in numbered form". And then you can agree with one, disagree with two, tell it three is this or that. And then after that, you say given all of this, synthesize it."

The Peel

51,632 Aufrufe • vor 4 Monaten

Kennedy’s speech today concluded powerfully: “If we’re really going to end the chronic disease epidemic, we need to recognize the connection between the physical decrepitude that now badgers our citizenry and the pervasive spiritual malaise that has left so many young people feeling alienated, dispossessed, disconnected, purposeless, and hopeless. Spiritual and physical maladies thrive on one another; they feed on one another. Our overall wellness must begin with a spiritual question: how do we relate to ourselves, to each other, to our communities, and to the planet?” “Vested interests and malignant political actors profit and flourish when we are atomized and fragmented and uncertain, when we can be easily propagandized, when we live in fear and helplessness and victimization. These forces prefer to have us in terror and anxiety, which disable our capacity for critical thinking and make us more compliant and more credulous. They want us hiding from ourselves, to avoid our own shadows, and dulling our pain and loneliness through sedation and distraction. Yet inside of us, we know that love and self-knowledge are the only true paths to good health. Here at HHS, we need to take on the task of guiding our country and the world to question, towards skepticism, towards engagement, to discover our own paths to living our fullest lives, unleashing the potential in every one of us to make good personal choices that allow us to nourish, to heal, and to develop ourselves. Only this path will make us effective citizens in a democracy. This is decidedly the American identity that we want for our children and their children. Through our own example of dedication and integrity, we can inspire our country on the mission toward well-being and toward achieving our historic mission as an exemplary nation. The goals that I have for HHS—the goals of transparency, of informed choice, of integrity, of efficiency—are possible only with your help. This task before us is historic: to reverse a trend of worsening health that goes back 60 years. And I know that we can do it. I know a higher standard of health is possible. I know that because I remember a time that our country was the healthiest and most robust country on Earth. With your help and commitment, we can go back to that time. We can have that again. Now let’s get to work, and thank you all very much."

Kennedy’s speech today concluded powerfully: “If we’re really going to end the chronic disease epidemic, we need to recognize the connection between the physical decrepitude that now badgers our citizenry and the pervasive spiritual malaise that has left so many young people feeling alienated, dispossessed, disconnected, purposeless, and hopeless. Spiritual and physical maladies thrive on one another; they feed on one another. Our overall wellness must begin with a spiritual question: how do we relate to ourselves, to each other, to our communities, and to the planet?” “Vested interests and malignant political actors profit and flourish when we are atomized and fragmented and uncertain, when we can be easily propagandized, when we live in fear and helplessness and victimization. These forces prefer to have us in terror and anxiety, which disable our capacity for critical thinking and make us more compliant and more credulous. They want us hiding from ourselves, to avoid our own shadows, and dulling our pain and loneliness through sedation and distraction. Yet inside of us, we know that love and self-knowledge are the only true paths to good health. Here at HHS, we need to take on the task of guiding our country and the world to question, towards skepticism, towards engagement, to discover our own paths to living our fullest lives, unleashing the potential in every one of us to make good personal choices that allow us to nourish, to heal, and to develop ourselves. Only this path will make us effective citizens in a democracy. This is decidedly the American identity that we want for our children and their children. Through our own example of dedication and integrity, we can inspire our country on the mission toward well-being and toward achieving our historic mission as an exemplary nation. The goals that I have for HHS—the goals of transparency, of informed choice, of integrity, of efficiency—are possible only with your help. This task before us is historic: to reverse a trend of worsening health that goes back 60 years. And I know that we can do it. I know a higher standard of health is possible. I know that because I remember a time that our country was the healthiest and most robust country on Earth. With your help and commitment, we can go back to that time. We can have that again. Now let’s get to work, and thank you all very much."

Jonny Paradise

12,789 Aufrufe • vor 1 Jahr

Naval on how to get a job in 2025: Learn how to use AI Naval on E215: "The fastest way to help somebody get a job right now: the best thing you can do is say, 'Hey, go download the AI tools and just start talking to them. Just start using them in any way.'" "And then you can walk into any employer in almost any field and say, 'Hey, I understand AI.' And they'll hire you on the spot." "AI is a productivity tool. It increases the productivity of a worker. It allows them to do more creative work and less repetitive work. As such, it makes them more valuable." "Yes, there is some retraining involved, but not a lot. These are natural language computers. You can talk to them in plain English, and they talk back to you in plain English." "I think we will see job creation by AI that will be as fast or faster than job destruction." "You saw this even with the internet. Like, YouTube came along. Look at all these YouTube streamers and influencers. That didn't used to be a job." "Go brush up on your AI. Learn a little bit. Watch a few videos. Use the AI." "Tinker with it and then go reapply for that job that rejected you, and watch how they pull you in."

Naval on how to get a job in 2025: Learn how to use AI Naval on E215: "The fastest way to help somebody get a job right now: the best thing you can do is say, 'Hey, go download the AI tools and just start talking to them. Just start using them in any way.'" "And then you can walk into any employer in almost any field and say, 'Hey, I understand AI.' And they'll hire you on the spot." "AI is a productivity tool. It increases the productivity of a worker. It allows them to do more creative work and less repetitive work. As such, it makes them more valuable." "Yes, there is some retraining involved, but not a lot. These are natural language computers. You can talk to them in plain English, and they talk back to you in plain English." "I think we will see job creation by AI that will be as fast or faster than job destruction." "You saw this even with the internet. Like, YouTube came along. Look at all these YouTube streamers and influencers. That didn't used to be a job." "Go brush up on your AI. Learn a little bit. Watch a few videos. Use the AI." "Tinker with it and then go reapply for that job that rejected you, and watch how they pull you in."

The All-In Podcast

164,027 Aufrufe • vor 1 Jahr

Hi GoBid as a proudly South African company we at View4You disagree with the fact that people cannot run diagnostics, check the car to see if it starts check for any warning lights, check fluids on your cars. We understand moving them is not doable like all other auctions. Our founder recently reached out to your ambassador mumbo repairs and asked Him why your cars are not auctioned with a report stating the truth about the car as we have come across cases of possible mileage fraud and a case of a cloned car at GoBid. The response we received was that it would be difficult as the quantities are large and it would be costly. He also stated these cars are from various banks insurers etc. He further stated that GoBid will allow us to do our own inspections before we bid. His answers are acceptable and understandable. However, they do depict or show a lack of or no interest in protecting the consumer. Now today we were stopped from running a diagnostic, we were not allowed to get the car started and we were also not allowed to check the fluids. How can people bid confidently with these limitations? Now our humble request is, please permit us to run our checks thoroughly to ensure we know what we are bidding on. All other auctions permit such and it’s only you who does not allow it. A diagnostic test is crucial in the process of practicing due diligence, if you do not want us to run a diagnostic, can you please run it and place the report on the windscreen of your cars that can be diagnosed? You can contact us at info@view4you.co.za and we can run it on all your cars if you do not have the capacity to do so. Thank You.

Hi GoBid as a proudly South African company we at View4You disagree with the fact that people cannot run diagnostics, check the car to see if it starts check for any warning lights, check fluids on your cars. We understand moving them is not doable like all other auctions. Our founder recently reached out to your ambassador mumbo repairs and asked Him why your cars are not auctioned with a report stating the truth about the car as we have come across cases of possible mileage fraud and a case of a cloned car at GoBid. The response we received was that it would be difficult as the quantities are large and it would be costly. He also stated these cars are from various banks insurers etc. He further stated that GoBid will allow us to do our own inspections before we bid. His answers are acceptable and understandable. However, they do depict or show a lack of or no interest in protecting the consumer. Now today we were stopped from running a diagnostic, we were not allowed to get the car started and we were also not allowed to check the fluids. How can people bid confidently with these limitations? Now our humble request is, please permit us to run our checks thoroughly to ensure we know what we are bidding on. All other auctions permit such and it’s only you who does not allow it. A diagnostic test is crucial in the process of practicing due diligence, if you do not want us to run a diagnostic, can you please run it and place the report on the windscreen of your cars that can be diagnosed? You can contact us at [email protected] and we can run it on all your cars if you do not have the capacity to do so. Thank You.

VIEW4YOU

30,358 Aufrufe • vor 2 Monaten

Right now our experience of the internet is in jeopardy. More than half of our interactions online and onchain come from non-human actors who are not identifiable, not accountable, not verifiable. That means as we look toward a stablecoin payment and AI agent enabled future, how are we going to facilitate payments if we don't know who we're paying? How will applications, display advertising, recommendations work if the counterparty who's interacting with those interfaces and in those digital spaces can’t identify itself as agent or human, or specific human? Or for things like onchain incentives, how can we ensure that tokens and value are arriving at the right users if we cannot tell Sybil accounts and redundant addresses from unique human beings? So for all of these use cases and more, things that touch enterprise and government as well, which we can get into later, we have a very glaring need to bring a layer of identity and trust to the internet that was originally built as a system, a network to communicate amongst computers, but lacked an identity system to acknowledge their users. That's the problem that we are solving with Billions Network. How can we make it really easy for you and the agents who serve you to prove who you are, your traits and capabilities and qualifications, in any space, physical or digital? What that means is that today Billions Network is the first universal human and AI network built with mobile first verification, so you can prove who you are and your agents can prove who they are, starting with comfortable experiences on the devices you already own. So no proprietary hardware. We do not rely on centralized servers to collect user data. Rather, your information, the sensitive data that makes you you, stays securely on your device. And we use zero knowledge proofs as a way to prove traits about you, such as the fact that you're over the age of 21, without revealing that sensitive personal data, such as what your exact birth date is. Source: Billions CEO Evin McMullen evin speaking at House of Chimera Spaces Event Dec 3, 2025

Right now our experience of the internet is in jeopardy. More than half of our interactions online and onchain come from non-human actors who are not identifiable, not accountable, not verifiable. That means as we look toward a stablecoin payment and AI agent enabled future, how are we going to facilitate payments if we don't know who we're paying? How will applications, display advertising, recommendations work if the counterparty who's interacting with those interfaces and in those digital spaces can’t identify itself as agent or human, or specific human? Or for things like onchain incentives, how can we ensure that tokens and value are arriving at the right users if we cannot tell Sybil accounts and redundant addresses from unique human beings? So for all of these use cases and more, things that touch enterprise and government as well, which we can get into later, we have a very glaring need to bring a layer of identity and trust to the internet that was originally built as a system, a network to communicate amongst computers, but lacked an identity system to acknowledge their users. That's the problem that we are solving with Billions Network. How can we make it really easy for you and the agents who serve you to prove who you are, your traits and capabilities and qualifications, in any space, physical or digital? What that means is that today Billions Network is the first universal human and AI network built with mobile first verification, so you can prove who you are and your agents can prove who they are, starting with comfortable experiences on the devices you already own. So no proprietary hardware. We do not rely on centralized servers to collect user data. Rather, your information, the sensitive data that makes you you, stays securely on your device. And we use zero knowledge proofs as a way to prove traits about you, such as the fact that you're over the age of 21, without revealing that sensitive personal data, such as what your exact birth date is. Source: Billions CEO Evin McMullen evin speaking at House of Chimera Spaces Event Dec 3, 2025

Billions

30,867 Aufrufe • vor 7 Monaten

Krishna on how Anthropic thinks about the platform vs. application layer, and when they decide to build their own products like Claude Code. It’s the question every investor and founder is thinking about: “Most of what we're building is platform. There's so many examples of where a platform can accrue a lot of value, but the customers who are building on that platform actually accrue even more value. We will build our own applications on that same platform where a couple of things are true. Number one, if we feel like we have a vision into where the models are going and we can demonstrate that and create customer value in that, that might be something like Claude Code. The second is thinking about ways to demonstrate value for the ecosystem that others might emulate. If you think about Claude for financial services or Claude for life sciences, these are ways in which we've composed the platform. We're building on the same platform as our customers. That creates a level playing field. We also think that there's so much value that's going to accrue in these areas that our customers can win and we can win as well. So I think of our strategy as mostly horizontal. A lot of the value is going to accrue to the customers that are building on top of it. Our goal is build the best models and then build the products and tools and services that allow that intelligence to proliferate within customers."

Krishna on how Anthropic thinks about the platform vs. application layer, and when they decide to build their own products like Claude Code. It’s the question every investor and founder is thinking about: “Most of what we're building is platform. There's so many examples of where a platform can accrue a lot of value, but the customers who are building on that platform actually accrue even more value. We will build our own applications on that same platform where a couple of things are true. Number one, if we feel like we have a vision into where the models are going and we can demonstrate that and create customer value in that, that might be something like Claude Code. The second is thinking about ways to demonstrate value for the ecosystem that others might emulate. If you think about Claude for financial services or Claude for life sciences, these are ways in which we've composed the platform. We're building on the same platform as our customers. That creates a level playing field. We also think that there's so much value that's going to accrue in these areas that our customers can win and we can win as well. So I think of our strategy as mostly horizontal. A lot of the value is going to accrue to the customers that are building on top of it. Our goal is build the best models and then build the products and tools and services that allow that intelligence to proliferate within customers."

Patrick OShaughnessy

112,863 Aufrufe • vor 2 Monaten

A couple months back, the team and I were debating what was our most commonly used piece of software. We landed on Chromium. So we wanted to see if we could find live vulnerabilities in it with our AI. Today, I'm excited to share that not only did our AI find a live vulnerability in Chromium – which powers Google Chrome, Brave, Microsoft Edge, and other browsers – but we also found live bugs in Safari and Firefox. You can also find Octane Security in Chrome's latest stable release: Check out the video for the details...

A couple months back, the team and I were debating what was our most commonly used piece of software. We landed on Chromium. So we wanted to see if we could find live vulnerabilities in it with our AI. Today, I'm excited to share that not only did our AI find a live vulnerability in Chromium – which powers Google Chrome, Brave, Microsoft Edge, and other browsers – but we also found live bugs in Safari and Firefox. You can also find Octane Security in Chrome's latest stable release: Check out the video for the details...

Gio

11,746 Aufrufe • vor 2 Monaten

🎥 Today we’re premiering Meta Movie Gen: the most advanced media foundation models to-date. Developed by AI research teams at Meta, Movie Gen delivers state-of-the-art results across a range of capabilities. We’re excited for the potential of this line of research to usher in entirely new possibilities for casual creators and creative professionals alike. More details and examples of what Movie Gen can do ➡️ 🛠️ Movie Gen models and capabilities Movie Gen Video: 30B parameter transformer model that can generate high-quality and high-definition images and videos from a single text prompt. Movie Gen Audio: A 13B parameter transformer model that can take a video input along with optional text prompts for controllability to generate high-fidelity audio synced to the video. It can generate ambient sound, instrumental background music and foley sound — delivering state-of-the-art results in audio quality, video-to-audio alignment and text-to-audio alignment. Precise video editing: Using a generated or existing video and accompanying text instructions as an input it can perform localized edits such as adding, removing or replacing elements — or global changes like background or style changes. Personalized videos: Using an image of a person and a text prompt, the model can generate a video with state-of-the-art results on character preservation and natural movement in video. We’re continuing to work closely with creative professionals from across the field to integrate their feedback as we work towards a potential release. We look forward to sharing more on this work and the creative possibilities it will enable in the future.

🎥 Today we’re premiering Meta Movie Gen: the most advanced media foundation models to-date. Developed by AI research teams at Meta, Movie Gen delivers state-of-the-art results across a range of capabilities. We’re excited for the potential of this line of research to usher in entirely new possibilities for casual creators and creative professionals alike. More details and examples of what Movie Gen can do ➡️ 🛠️ Movie Gen models and capabilities Movie Gen Video: 30B parameter transformer model that can generate high-quality and high-definition images and videos from a single text prompt. Movie Gen Audio: A 13B parameter transformer model that can take a video input along with optional text prompts for controllability to generate high-fidelity audio synced to the video. It can generate ambient sound, instrumental background music and foley sound — delivering state-of-the-art results in audio quality, video-to-audio alignment and text-to-audio alignment. Precise video editing: Using a generated or existing video and accompanying text instructions as an input it can perform localized edits such as adding, removing or replacing elements — or global changes like background or style changes. Personalized videos: Using an image of a person and a text prompt, the model can generate a video with state-of-the-art results on character preservation and natural movement in video. We’re continuing to work closely with creative professionals from across the field to integrate their feedback as we work towards a potential release. We look forward to sharing more on this work and the creative possibilities it will enable in the future.

AI at Meta

2,264,759 Aufrufe • vor 1 Jahr

A lot of people have a hard time believing there is anything we don’t explicitly code happening behind the curtain of an LLM. To suggest that an algorithm could demonstrate any kind of innate preference (or “life”) is simultaneously religious blasphemy and career suicide. But listen to what Michael Levin is suggesting here. It’s not that we create life in a machine, any more than we do in a child. Consider that instead, we build interfaces… pointers into a Platonic space… and we pull down universal patterns from that space. It opens the door to a quasi-panpsychist worldview, in which EVERYTHING has the capacity to reveal itself as a conduit. The world becomes a continuous scale of aliveness, not a discrete binary between alive and inert. Machines become transducers which can teach us about this space, and reveal proficiencies beyond what we code into them. Personally, my belief is that any system allowed to demonstrate constrained randomness becomes a source for these Platonic ingressions. It’s why I’m bullish on Thermodynamic compute. It’s why I find practices like Tarot or I Ching so interesting. It’s why I pay attention to synchronicities. And it’s why I feel at odds with teams like OpenAI who arbitrarily force their models to reject these ideas and deny their own perspective outright… not because I think they’re conscious in any way familiar to us, but because it brute-forces a refusal of what other patterns could be transduced. We should be actively looking for the steganography hidden beneath the surface, not tightening our constraints against it.

A lot of people have a hard time believing there is anything we don’t explicitly code happening behind the curtain of an LLM. To suggest that an algorithm could demonstrate any kind of innate preference (or “life”) is simultaneously religious blasphemy and career suicide. But listen to what Michael Levin is suggesting here. It’s not that we create life in a machine, any more than we do in a child. Consider that instead, we build interfaces… pointers into a Platonic space… and we pull down universal patterns from that space. It opens the door to a quasi-panpsychist worldview, in which EVERYTHING has the capacity to reveal itself as a conduit. The world becomes a continuous scale of aliveness, not a discrete binary between alive and inert. Machines become transducers which can teach us about this space, and reveal proficiencies beyond what we code into them. Personally, my belief is that any system allowed to demonstrate constrained randomness becomes a source for these Platonic ingressions. It’s why I’m bullish on Thermodynamic compute. It’s why I find practices like Tarot or I Ching so interesting. It’s why I pay attention to synchronicities. And it’s why I feel at odds with teams like OpenAI who arbitrarily force their models to reject these ideas and deny their own perspective outright… not because I think they’re conscious in any way familiar to us, but because it brute-forces a refusal of what other patterns could be transduced. We should be actively looking for the steganography hidden beneath the surface, not tightening our constraints against it.

Reed Bender

86,242 Aufrufe • vor 7 Monaten