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🎥 Introducing Split-then-Merge: A new video composition framework! This approach enables the composition of any foreground video with any background video. Unlike conventional methods that rely on annotated datasets or handcrafted rules, Split-then-Merge (StM) splits a large unlabeled corpus of videos into dynamic foreground and background layers, then merges...

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15,681 views • 7 months ago •via X (Twitter)

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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."
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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 views • 1 year ago

Today, Box is announcing major new AI agent capabilities to let customers tap into the full value of their unstructured data. First, we’re announcing all new updates to the Box AI Studio to make it even easier to build AI agents that tap into your enterprise content for any job function, business process, or industry specific use case. We are also expanding our set of foundational agents that customers will be able to use to work with their enterprise content, including new features like search and research on unstructured data. Next, we’re announcing Box Extract to enable customers to use AI agents seamlessly for complex data extraction from any type of document or content. This makes it easier than ever to pull out data from contracts, invoices, research data, marketing assets, medical charts, and more. Finally, we’re introducing Box Automate, a new workflow automation solution within Box that lets you deploy AI agents across enterprise content-centric workflows. With Box Automate, you can design your business process in a simple drag and drop builder and then drop in AI agents at any step in the process. This ensures agents execute tasks at the right steps in a workflow every time. Best of all, our AI agents and workflow tools are designed to work across any system our customers work within, whether it’s leveraging pre-built integrations, Box APIs, or the new Box MCP Server. Ultimately, all of these capabilities come together to transform how companies can work with their enterprise content. Software has historically only been good at automating work that deals with structured data, which is why ERP, CRM, and HR systems have been mainstays of enterprise software for so long. The data in these systems fits neatly into a database, and the workflows are very ripe for automation. But it turns out most of the work in the world deals with unstructured data. It’s ideating through research documents, working with a client on contracts, reviewing details for a new product launch, looking at a patient’s healthcare record to make a diagnosis, working through due diligence documents for an M&A deal, and so on. For the first time ever, we can begin to bring all new insights and automation to this work with AI agents. At Box, we’re incredibly excited to be on this journey to help customers transform how they work with their most important data.
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Today, Box is announcing major new AI agent capabilities to let customers tap into the full value of their unstructured data. First, we’re announcing all new updates to the Box AI Studio to make it even easier to build AI agents that tap into your enterprise content for any job function, business process, or industry specific use case. We are also expanding our set of foundational agents that customers will be able to use to work with their enterprise content, including new features like search and research on unstructured data. Next, we’re announcing Box Extract to enable customers to use AI agents seamlessly for complex data extraction from any type of document or content. This makes it easier than ever to pull out data from contracts, invoices, research data, marketing assets, medical charts, and more. Finally, we’re introducing Box Automate, a new workflow automation solution within Box that lets you deploy AI agents across enterprise content-centric workflows. With Box Automate, you can design your business process in a simple drag and drop builder and then drop in AI agents at any step in the process. This ensures agents execute tasks at the right steps in a workflow every time. Best of all, our AI agents and workflow tools are designed to work across any system our customers work within, whether it’s leveraging pre-built integrations, Box APIs, or the new Box MCP Server. Ultimately, all of these capabilities come together to transform how companies can work with their enterprise content. Software has historically only been good at automating work that deals with structured data, which is why ERP, CRM, and HR systems have been mainstays of enterprise software for so long. The data in these systems fits neatly into a database, and the workflows are very ripe for automation. But it turns out most of the work in the world deals with unstructured data. It’s ideating through research documents, working with a client on contracts, reviewing details for a new product launch, looking at a patient’s healthcare record to make a diagnosis, working through due diligence documents for an M&A deal, and so on. For the first time ever, we can begin to bring all new insights and automation to this work with AI agents. At Box, we’re incredibly excited to be on this journey to help customers transform how they work with their most important data.

Aaron Levie

91,863 views • 10 months ago

I've built an AI agent that generates a logline of its choosing, creates text-to-video clips via 'scenes' it prompts with Luma, and then stitches them together automatically—even adding background music if you happen to have some present! At first, I let the model run wild—no direction, just "generate an interesting logline & prompts", basically. The results were quite interesting, but style was a bit all over the place (which was kinda cool in some ways actually). Then, I refined the prompt it was using to create the content—attempting to focus on cinematic feeling, character consistency (age, hair, ethnicity, name), and visual style. The idea is to build it out so that it can (hopefully) stick to genre, director influence, and a cohesive color palette. That will take some time, though. The agent is fully autonomous. It: Writes a story/logline and then the corresponding prompts Generates video clips Downloads them Stitches them into a final video (Optional) Adds background music all in one shot (it just takes ~5-10 minutes, and generates 17 clips or so at this time - I was using 30 as well but shortened it to test). You can upload your own background music to merge seamlessly, too. I'm working on more integrations to refine the output even further. Right now, I want everyone to try it out, but you'll likely need to upload your own API keys (because I'm broke 😂). Still figuring out the best way to share it! I'll have to explore Replit or Gradio, but that will be a little bit either tonight or tomorrow. The final video below shows where it's at as of right now. And in the comments, I’ve included different outputs—some completely chaotic, others more polished after prompt tuning.
1:24

I've built an AI agent that generates a logline of its choosing, creates text-to-video clips via 'scenes' it prompts with Luma, and then stitches them together automatically—even adding background music if you happen to have some present! At first, I let the model run wild—no direction, just "generate an interesting logline & prompts", basically. The results were quite interesting, but style was a bit all over the place (which was kinda cool in some ways actually). Then, I refined the prompt it was using to create the content—attempting to focus on cinematic feeling, character consistency (age, hair, ethnicity, name), and visual style. The idea is to build it out so that it can (hopefully) stick to genre, director influence, and a cohesive color palette. That will take some time, though. The agent is fully autonomous. It: Writes a story/logline and then the corresponding prompts Generates video clips Downloads them Stitches them into a final video (Optional) Adds background music all in one shot (it just takes ~5-10 minutes, and generates 17 clips or so at this time - I was using 30 as well but shortened it to test). You can upload your own background music to merge seamlessly, too. I'm working on more integrations to refine the output even further. Right now, I want everyone to try it out, but you'll likely need to upload your own API keys (because I'm broke 😂). Still figuring out the best way to share it! I'll have to explore Replit or Gradio, but that will be a little bit either tonight or tomorrow. The final video below shows where it's at as of right now. And in the comments, I’ve included different outputs—some completely chaotic, others more polished after prompt tuning.

Kiri

69,476 views • 1 year ago

My walk by the canal this evening and I thought you might be interested to see a lock. I realised that some of you might never have seen one and I know everyone is fascinated as to how they work. Locks are a way for boats to go up hill or downhill. Without them, there would be waterfalls and a narrowboat can’t do those. If I were sailing my boat from where I’m walking in this video, I’d need to open the paddles with my windlass to let all of the water out. Once the water was out of the lock, I could open one gate (a narrowboat exactly fits through just one gate) and sail into the lock. I’d then close the gate and walk to the other end of the lock as I do in this video. I’d open the paddles at these gates and the water would now flow into the lock and my boat would rise up as the lock filled with water. Once it was full, I’d open a gate and sail out. A very simple system, but very clever. P.S. I have employed a swan to carry my video camera for these videos, as the duck I first employed couldn’t handle the weight of the camera and kept crashing into the water. The swan is better but as you’ll see at the beginning of the video, he’s so big that he crashes straight through the tree branches. There is a lot more training required and he was told off and debriefed after this video was made.
1:41

My walk by the canal this evening and I thought you might be interested to see a lock. I realised that some of you might never have seen one and I know everyone is fascinated as to how they work. Locks are a way for boats to go up hill or downhill. Without them, there would be waterfalls and a narrowboat can’t do those. If I were sailing my boat from where I’m walking in this video, I’d need to open the paddles with my windlass to let all of the water out. Once the water was out of the lock, I could open one gate (a narrowboat exactly fits through just one gate) and sail into the lock. I’d then close the gate and walk to the other end of the lock as I do in this video. I’d open the paddles at these gates and the water would now flow into the lock and my boat would rise up as the lock filled with water. Once it was full, I’d open a gate and sail out. A very simple system, but very clever. P.S. I have employed a swan to carry my video camera for these videos, as the duck I first employed couldn’t handle the weight of the camera and kept crashing into the water. The swan is better but as you’ll see at the beginning of the video, he’s so big that he crashes straight through the tree branches. There is a lot more training required and he was told off and debriefed after this video was made.

Alastair Hilton

21,867 views • 16 days ago

"At the Edge of the Galaxy" – Episode 1 I created this video entirely using AI, specifically the Grok Imagine software. I developed the script with Grok . Then I produced it using all the tools available in Grok Grok Imagine , particularly the Agent mode, which saves a tremendous amount of time. I made this video alone, using just a standard computer. I was blown away by the ability to create dialogue that sounds authentic and worlds filled with such lifelike creatures. The consistency of the characters and locations is excellent, and the realism is breathtaking. I don't see what is stopping anyone today from creating a film entirely conceived using AI with Grok Imagine. If you have any questions, please feel free to ask. I will be happy to answer them. If you would like to support my work, the best way to help is to repost the video. Thank you in advance. As it happens, the video is 4 minutes and 20 seconds long (honestly, I didn't do that on purpose)—that ought to bring me good luck, right? Elon Musk
4:20

"At the Edge of the Galaxy" – Episode 1 I created this video entirely using AI, specifically the Grok Imagine software. I developed the script with Grok . Then I produced it using all the tools available in Grok Grok Imagine , particularly the Agent mode, which saves a tremendous amount of time. I made this video alone, using just a standard computer. I was blown away by the ability to create dialogue that sounds authentic and worlds filled with such lifelike creatures. The consistency of the characters and locations is excellent, and the realism is breathtaking. I don't see what is stopping anyone today from creating a film entirely conceived using AI with Grok Imagine. If you have any questions, please feel free to ask. I will be happy to answer them. If you would like to support my work, the best way to help is to repost the video. Thank you in advance. As it happens, the video is 4 minutes and 20 seconds long (honestly, I didn't do that on purpose)—that ought to bring me good luck, right? Elon Musk

Déborah

110,855 views • 9 days ago

Two big steps towards our vision for NotebookLM as the ultimate research platform: • Integrating Deep Research, with a set of only-at-Notebook features that let you explore the retrieved sources • Launching a series of Featured Notebooks curated by Google Research These developments are designed to enhance the full life cycle of research and scholarship: using the power of AI to assemble the knowledge base you need to advance your understanding, and then making your work accessible and intelligible to a wider audience using all the explanatory tools that Notebook offers. If you've used DeepResearch in the Gemini app, you already know that it's a pioneering advance in assembling complex, grounded information on any topic imaginable—collecting an entire trove of material for you and writing a nuanced research report that summarizes the findings. But because NotebookLM is designed to manage and explore potentially hundreds of sources, the Deep Research report is only the beginning of your journey. In our integration, Deep Research gives you an overview all of the sources it found during its research phase, with annotated commentary explaining how each source related to your original query. You can then choose to import some or all of the sources to the notebook, along with the report itself, which you can then explore or transform using the full suite of tools that Notebook offers: grounded chat with citations, Mind Maps, Audio/Video overviews, and much more. And it's that suite of tools that make the Google Research Featured Notebooks so compelling as well. Each notebook contains a curated collection of articles on a specific topic, published by the Google Research team. Think of them as a kind of knowledge base of Google's best thinking on a series of compelling research questions: How do scientists link genetics to health? How will quantum computing be useful? If you're a specialist in these fields, you can read the original papers or ask nuanced questions in chat and advance your understanding of the latest developments. But these notebooks can also make the complex but important topics understandable to non-specialists or students. Each notebook comes with pre-generated audio and video overviews, flashcards, and other Studio artifacts designed to make the scientific and technological concepts accessible and interesting. And you can always explore the material with our new "Learning Guide" chat mode that effectively gives you a personal tutor to enhance your understanding. There's much more to come on this front, but you can see in these two announcements how we see Notebook as both a workbench for conducting research and a publishing platform for sharing the results of that research once you're ready to make it public. Deep Research is rolling out this week to all users. The first two Google Research notebooks are live now, both of them deep dives into our most recent discoveries involving genetics and health. (Links in the following tweets.) We'll be publishing new notebooks in the series every other week or so for the next few months.
0:34

Two big steps towards our vision for NotebookLM as the ultimate research platform: • Integrating Deep Research, with a set of only-at-Notebook features that let you explore the retrieved sources • Launching a series of Featured Notebooks curated by Google Research These developments are designed to enhance the full life cycle of research and scholarship: using the power of AI to assemble the knowledge base you need to advance your understanding, and then making your work accessible and intelligible to a wider audience using all the explanatory tools that Notebook offers. If you've used DeepResearch in the Gemini app, you already know that it's a pioneering advance in assembling complex, grounded information on any topic imaginable—collecting an entire trove of material for you and writing a nuanced research report that summarizes the findings. But because NotebookLM is designed to manage and explore potentially hundreds of sources, the Deep Research report is only the beginning of your journey. In our integration, Deep Research gives you an overview all of the sources it found during its research phase, with annotated commentary explaining how each source related to your original query. You can then choose to import some or all of the sources to the notebook, along with the report itself, which you can then explore or transform using the full suite of tools that Notebook offers: grounded chat with citations, Mind Maps, Audio/Video overviews, and much more. And it's that suite of tools that make the Google Research Featured Notebooks so compelling as well. Each notebook contains a curated collection of articles on a specific topic, published by the Google Research team. Think of them as a kind of knowledge base of Google's best thinking on a series of compelling research questions: How do scientists link genetics to health? How will quantum computing be useful? If you're a specialist in these fields, you can read the original papers or ask nuanced questions in chat and advance your understanding of the latest developments. But these notebooks can also make the complex but important topics understandable to non-specialists or students. Each notebook comes with pre-generated audio and video overviews, flashcards, and other Studio artifacts designed to make the scientific and technological concepts accessible and interesting. And you can always explore the material with our new "Learning Guide" chat mode that effectively gives you a personal tutor to enhance your understanding. There's much more to come on this front, but you can see in these two announcements how we see Notebook as both a workbench for conducting research and a publishing platform for sharing the results of that research once you're ready to make it public. Deep Research is rolling out this week to all users. The first two Google Research notebooks are live now, both of them deep dives into our most recent discoveries involving genetics and health. (Links in the following tweets.) We'll be publishing new notebooks in the series every other week or so for the next few months.

Steven Johnson

104,814 views • 8 months ago

If you're interested in Tesla Robotaxi, Tesla AI or Tesla FSD, then you ought to know about jimmah . He's probably the one person who's done the deepest public dives on Tesla FSD and Tesla AI over the years. In fact, over the past 4 years I've published 40+ videos (!) with James Douma on Tesla AI/FSD (they are all on a playlist on my YouTube channel). I first discovered James Douma a long time ago (maybe almost 8-10 years ago?) on a web forum called . Back then it was one of the only places for early Tesla owners and TSLA investors to discuss issues deeply. While I posted about investing topics, James posted about Tesla Autopilot and its hardware but in a way that was more thorough than anybody else. When I started posting YouTube videos years later, I invited him on my channel to hear his thoughts on Tesla Autopilot/FSD. It was a riveting discussion and I was surprised at how much I could learn from him. I invited him again for another interview on my channel, and once again I was floored by how much I was learning. So over the years, James has been a great resource for me (and many others) to keep pulse on what Tesla is doing with FSD and AI (and even robotics). He doesn't have his own YouTube channel. He doesn't have any paid services or subscriptions. He probably has mixed feelings about so many people knowing about him. But I appreciate his willingness over the years to be available and help the Tesla community by offering his insights and knowledge. Yesterday I spent most of the day with James taking Robotaxi rides and discussion all things Robotaxi: - current state of Robotaxi - quality of Robotaxi rides - possible scaling plans - challenges - comparison to Waymo and others - Tesla AI 5 - and much more Attached is a 2+ hour edited video of our Robotaxi rides and discussion. We also had an hour+ discussion on Optimus humanoid robots that I'll upload as a separate video tomorrow.
2:12:11

If you're interested in Tesla Robotaxi, Tesla AI or Tesla FSD, then you ought to know about jimmah . He's probably the one person who's done the deepest public dives on Tesla FSD and Tesla AI over the years. In fact, over the past 4 years I've published 40+ videos (!) with James Douma on Tesla AI/FSD (they are all on a playlist on my YouTube channel). I first discovered James Douma a long time ago (maybe almost 8-10 years ago?) on a web forum called . Back then it was one of the only places for early Tesla owners and TSLA investors to discuss issues deeply. While I posted about investing topics, James posted about Tesla Autopilot and its hardware but in a way that was more thorough than anybody else. When I started posting YouTube videos years later, I invited him on my channel to hear his thoughts on Tesla Autopilot/FSD. It was a riveting discussion and I was surprised at how much I could learn from him. I invited him again for another interview on my channel, and once again I was floored by how much I was learning. So over the years, James has been a great resource for me (and many others) to keep pulse on what Tesla is doing with FSD and AI (and even robotics). He doesn't have his own YouTube channel. He doesn't have any paid services or subscriptions. He probably has mixed feelings about so many people knowing about him. But I appreciate his willingness over the years to be available and help the Tesla community by offering his insights and knowledge. Yesterday I spent most of the day with James taking Robotaxi rides and discussion all things Robotaxi: - current state of Robotaxi - quality of Robotaxi rides - possible scaling plans - challenges - comparison to Waymo and others - Tesla AI 5 - and much more Attached is a 2+ hour edited video of our Robotaxi rides and discussion. We also had an hour+ discussion on Optimus humanoid robots that I'll upload as a separate video tomorrow.

Dave Lee

104,746 views • 1 year ago

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."
4:16

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 views • 4 months ago

Imagine if you could make music on the go in real time with access to all your favorite physical instruments in one device. Using a combination of artificial intelligence, computer vision, and advanced sensors , our upcoming device the Light Field will allow you to do just that - with near zero latency. Using the A.I sequencer , you can also import any song from the Spatial Labs Music library and split the vocals, mix, and instrumentals in real time. You can then apply dozens of effects to each of the individual tracks or even record your own original sound on top of the beat. Even though a laptop can be a powerful music creation device , you’re still limited by the awkward layouts that most of them have. The Light Field supports a dynamic UI that can change to literally emulate any midi controller, audio interface, drum machine, or synthesizer through software virtualization; while retaining physical touch by allowing any surface to transform into your touchscreen. You never have to carry any other instrument with you ever again. Furthermore if a new instrument is developed or released, no more waiting at Guitar Center or for that 2 week package to deliver to you - when you can simply download it to your Light Field. Spatial Labs Full video link below. 👇🏾
3:04

Imagine if you could make music on the go in real time with access to all your favorite physical instruments in one device. Using a combination of artificial intelligence, computer vision, and advanced sensors , our upcoming device the Light Field will allow you to do just that - with near zero latency. Using the A.I sequencer , you can also import any song from the Spatial Labs Music library and split the vocals, mix, and instrumentals in real time. You can then apply dozens of effects to each of the individual tracks or even record your own original sound on top of the beat. Even though a laptop can be a powerful music creation device , you’re still limited by the awkward layouts that most of them have. The Light Field supports a dynamic UI that can change to literally emulate any midi controller, audio interface, drum machine, or synthesizer through software virtualization; while retaining physical touch by allowing any surface to transform into your touchscreen. You never have to carry any other instrument with you ever again. Furthermore if a new instrument is developed or released, no more waiting at Guitar Center or for that 2 week package to deliver to you - when you can simply download it to your Light Field. Spatial Labs Full video link below. 👇🏾

iddris

129,013 views • 3 years ago

🇨🇳 Chongqing in the day without the lights honestly looks a lot different It's more gray and dare I say a lot of the buildings look quite derelict, kinda like when I visited Mongkok in Hong Kong A lot of spots need some heavy maintenance, the stairs in this square have broken tiles, the main bridge of this square that's I think at the 22nd floor and full of tourists all day has its cables and bolts rusting away, I'm not a structural engineer but looks dodgy to me I do think the lights at night are cool and impressive though but it'd be even more impressive if Chongqing would also be beautiful in the day without them One relatedd thing I noticed that many Chinese cities and stations and airports do not have a lot of trees or plants, and it makes everything look kinda cold and functional. Like compare Singapore's Changi Airport with any Chinese airport or train station, it has much more aesthetic I do know that Singapore is respected here a lot, as it is in the West, and I think in many things China can model itself after Singapore. Singapore is a strict rule based society which it needs, and China needs too, or it'd turn into chaos. And Singapore isn't perfect, but it's quite pretty and comfortable to look at aesthetic wise with plants everywhere and even on top of buildings and inside their architecture But then again maybe we're just at the start. Start with some fancy lights, and then start cleaning up the city and doing more maintenance I feel China is great at rapidly building new stuff out of the ground but then I don't see them maintaining it so well. In Chongqing particularly, I see so many things rusting or chipped and broken and it shouldn't be like that I think Chengdu felt much better maintained, I wonder why? Another thing is I see is that you don't see this stuff on YouTube Shorts or TikTok because it's short videos and then the fancy lights get easy views (like my video below of course too!) because you don't need to show many of the details
1:42

🇨🇳 Chongqing in the day without the lights honestly looks a lot different It's more gray and dare I say a lot of the buildings look quite derelict, kinda like when I visited Mongkok in Hong Kong A lot of spots need some heavy maintenance, the stairs in this square have broken tiles, the main bridge of this square that's I think at the 22nd floor and full of tourists all day has its cables and bolts rusting away, I'm not a structural engineer but looks dodgy to me I do think the lights at night are cool and impressive though but it'd be even more impressive if Chongqing would also be beautiful in the day without them One relatedd thing I noticed that many Chinese cities and stations and airports do not have a lot of trees or plants, and it makes everything look kinda cold and functional. Like compare Singapore's Changi Airport with any Chinese airport or train station, it has much more aesthetic I do know that Singapore is respected here a lot, as it is in the West, and I think in many things China can model itself after Singapore. Singapore is a strict rule based society which it needs, and China needs too, or it'd turn into chaos. And Singapore isn't perfect, but it's quite pretty and comfortable to look at aesthetic wise with plants everywhere and even on top of buildings and inside their architecture But then again maybe we're just at the start. Start with some fancy lights, and then start cleaning up the city and doing more maintenance I feel China is great at rapidly building new stuff out of the ground but then I don't see them maintaining it so well. In Chongqing particularly, I see so many things rusting or chipped and broken and it shouldn't be like that I think Chengdu felt much better maintained, I wonder why? Another thing is I see is that you don't see this stuff on YouTube Shorts or TikTok because it's short videos and then the fancy lights get easy views (like my video below of course too!) because you don't need to show many of the details

@levelsio

408,276 views • 7 months ago

This is the video of the interaction that happened at my home on July 13, 2025. I showed up to my home to try and talk with my at that time, wife and see my children. As the text messages and evidence will show in later on filings, I came back to my residence multiple times to try and work things out with Bonnie for the better of our children and family. When I showed up, Bonnie was not there. Her mom was always more than welcome to be there. Her mom lived with us for a while, until I came home after being pardoned. When I got home, she wanted her own space, so we got Lisa her own apartment in Longview, Texas. She had separated from James because he drank all day and would become violent towards her. Before I came home, Lisa got a black eye in my garage from James. So it was a no-brainer for me to either leave her living in my house or get her an apartment in Longview close to us. She insisted on not going back to Oklahoma to live with James, she didn’t want to go to Houston and live with James. Her grandkids were here, her job was here, and she did not want to go anywhere. So we made that happen, and I paid for that out of my own back pocket. That’s the house Lisa is referring to in this video, which is why she has to refer to it as “my” or hers - that’s noticed with her, distinguishing her property, her house, and not their house or our house. ——— but let’s rewind for a second for more context. The day that I announced my run for Congress, James and Bonnie got into a huge fight, she asked me to handle it, I went to go speak with James at Lisa’s residence that I was paying for, James pulled a knife and sliced my neck. The next morning, Bonnie and I got into a huge argument, I asked her if she was going to help me, her answers showed me that she was not. I was already discovering financial wrongdoing, I knew about infidelity, her mother and father are alcoholics and drug addicts, and you can tell that by James slurring all throughout this video. And you’ll notice throughout this video that James tells me multiple times that it’s no longer my house, it’s his daughter’s house - referring to Bonnie. What I didn’t know, is that he really meant that, because Bonnie had taken my power of attorney without my knowledge, signed over all of our assets into her name only, closed Wholesale Universe, Inc., opened Wholesale Universe, LLC in her name only, locked me out of all the bank accounts, then went to an attorney (who am I fully intend on talking about later) and filed for divorce and a restraining order using a false statement of facts, thus committing perjury. Furthermore, you’ll hear James admitting to putting a knife to my throat and blaming me for him doing that. He calls me “lucky”, as if I should be lucky to be sliced and attempted to be killed by my father-in-law. ——————— As soon as this video is over, I called 911, and an officer came out immediately. I will post the rest of the videos of this interaction in the comment section, including when the officer showed up, pulled the gun out, and started questioning him. This is not just a case of an old man grabbing at a gun. James had already tried to kill me once, and that’s why I had to leave. On July 13, 2025, I discovered in the house that day binders and folders that Bonnie had of businesses that I had never heard of. Things like widespread holdings LLC, among others who were opened in 2021, 2022, 2023 and so on. Businesses that were running my money through them, but I was never made privy to. I’ll show you the pictures of that information down below. That’s how I became aware fully with proof that my money had been stolen and fraud had been committed against me. I revoked my power of attorney from Bonnie by text message the very next day. The day after that she started selling assets. I’ve played this all out on my website, but I will be updating it today and tomorrow and adding everything about this case.
3:50

Sensitive content

This is the video of the interaction that happened at my home on July 13, 2025. I showed up to my home to try and talk with my at that time, wife and see my children. As the text messages and evidence will show in later on filings, I came back to my residence multiple times to try and work things out with Bonnie for the better of our children and family. When I showed up, Bonnie was not there. Her mom was always more than welcome to be there. Her mom lived with us for a while, until I came home after being pardoned. When I got home, she wanted her own space, so we got Lisa her own apartment in Longview, Texas. She had separated from James because he drank all day and would become violent towards her. Before I came home, Lisa got a black eye in my garage from James. So it was a no-brainer for me to either leave her living in my house or get her an apartment in Longview close to us. She insisted on not going back to Oklahoma to live with James, she didn’t want to go to Houston and live with James. Her grandkids were here, her job was here, and she did not want to go anywhere. So we made that happen, and I paid for that out of my own back pocket. That’s the house Lisa is referring to in this video, which is why she has to refer to it as “my” or hers - that’s noticed with her, distinguishing her property, her house, and not their house or our house. ——— but let’s rewind for a second for more context. The day that I announced my run for Congress, James and Bonnie got into a huge fight, she asked me to handle it, I went to go speak with James at Lisa’s residence that I was paying for, James pulled a knife and sliced my neck. The next morning, Bonnie and I got into a huge argument, I asked her if she was going to help me, her answers showed me that she was not. I was already discovering financial wrongdoing, I knew about infidelity, her mother and father are alcoholics and drug addicts, and you can tell that by James slurring all throughout this video. And you’ll notice throughout this video that James tells me multiple times that it’s no longer my house, it’s his daughter’s house - referring to Bonnie. What I didn’t know, is that he really meant that, because Bonnie had taken my power of attorney without my knowledge, signed over all of our assets into her name only, closed Wholesale Universe, Inc., opened Wholesale Universe, LLC in her name only, locked me out of all the bank accounts, then went to an attorney (who am I fully intend on talking about later) and filed for divorce and a restraining order using a false statement of facts, thus committing perjury. Furthermore, you’ll hear James admitting to putting a knife to my throat and blaming me for him doing that. He calls me “lucky”, as if I should be lucky to be sliced and attempted to be killed by my father-in-law. ——————— As soon as this video is over, I called 911, and an officer came out immediately. I will post the rest of the videos of this interaction in the comment section, including when the officer showed up, pulled the gun out, and started questioning him. This is not just a case of an old man grabbing at a gun. James had already tried to kill me once, and that’s why I had to leave. On July 13, 2025, I discovered in the house that day binders and folders that Bonnie had of businesses that I had never heard of. Things like widespread holdings LLC, among others who were opened in 2021, 2022, 2023 and so on. Businesses that were running my money through them, but I was never made privy to. I’ll show you the pictures of that information down below. That’s how I became aware fully with proof that my money had been stolen and fraud had been committed against me. I revoked my power of attorney from Bonnie by text message the very next day. The day after that she started selling assets. I’ve played this all out on my website, but I will be updating it today and tomorrow and adding everything about this case.

Ryan Nichols Sr.

815,057 views • 3 months ago

David Shire on the ideal working conditions to compose a movie score: "Interviewer: What are the ideal working conditions for considering a film score, where you are not your own master as you are when you do musicals? Shire: Working with real collaborators like Francis Coppola, Walter Murch, Glenn Jordan, Talia Shire or a number of other directors I could name is ideal. It’s interesting that I worked with Talia in much the same way that I worked with her brother Francis Coppola on "The Conversation" (1974), where instead of them finishing the movie and then calling in a composer to look at it and then run home with a limited time to do a score, they had me read a script in an early form so we could start talking about the score early on. The music then had a chance to evolve as the picture was evolving. Almost any composer you ask would like to work that way. You have a chance to have your subconscious work on the project, maybe while you are even working on other things. Once I have my basic material and I know it’s right, I can write the cues relatively quickly. Each cue leads to the next. There’s an inner logic about it that carries you through. Subsidiary material starts being generated by the principal material and vice versa. The material reaches a critical mass and starts to explode with possibilities. But as my orchestration and composition skills have gotten more and more fluent, I’ve been increasingly able to turn out a hack score with the best of them, and that scares me. That’s a special danger of doing a lot of TV work. You get too good at doing something in two weeks, often by recycling your favourite ideas and techniques and doing what comes easily. What’s exciting is when a film asks you to do something you’ve never done before, like "The Taking of Pelham One Two Three" (1974) I eventually realized the way to get the sound I wanted was through serial techniques. It was a style I wasn’t fluent in. So I had to bite the bullet and spend many weeks down here giving myself composition lessons, so to speak! I think any artist does that. With any new project you are a virgin to some extent. You have to initiate yourself, and give yourself the time to discover." (David Shire's interview with Matthias Büdinger, Soundtrack magazine, 1995) P.S: Happy 89th birthday, David Shire!
2:09

David Shire on the ideal working conditions to compose a movie score: "Interviewer: What are the ideal working conditions for considering a film score, where you are not your own master as you are when you do musicals? Shire: Working with real collaborators like Francis Coppola, Walter Murch, Glenn Jordan, Talia Shire or a number of other directors I could name is ideal. It’s interesting that I worked with Talia in much the same way that I worked with her brother Francis Coppola on "The Conversation" (1974), where instead of them finishing the movie and then calling in a composer to look at it and then run home with a limited time to do a score, they had me read a script in an early form so we could start talking about the score early on. The music then had a chance to evolve as the picture was evolving. Almost any composer you ask would like to work that way. You have a chance to have your subconscious work on the project, maybe while you are even working on other things. Once I have my basic material and I know it’s right, I can write the cues relatively quickly. Each cue leads to the next. There’s an inner logic about it that carries you through. Subsidiary material starts being generated by the principal material and vice versa. The material reaches a critical mass and starts to explode with possibilities. But as my orchestration and composition skills have gotten more and more fluent, I’ve been increasingly able to turn out a hack score with the best of them, and that scares me. That’s a special danger of doing a lot of TV work. You get too good at doing something in two weeks, often by recycling your favourite ideas and techniques and doing what comes easily. What’s exciting is when a film asks you to do something you’ve never done before, like "The Taking of Pelham One Two Three" (1974) I eventually realized the way to get the sound I wanted was through serial techniques. It was a style I wasn’t fluent in. So I had to bite the bullet and spend many weeks down here giving myself composition lessons, so to speak! I think any artist does that. With any new project you are a virgin to some extent. You have to initiate yourself, and give yourself the time to discover." (David Shire's interview with Matthias Büdinger, Soundtrack magazine, 1995) P.S: Happy 89th birthday, David Shire!

DepressedBergman

13,094 views • 12 days ago

Google's former CEO Eric Schmidt on the data strategy behind the next hundred billion dollar companies: He explains that he evaluates startup ideas by looking at 5-year growth trajectories and asking whether there's a more scalable strategy available. Take a founder building an app they want to charge $10 for. Eric Schmidt's challenge: "Why not give it away for free and upsell users instead?" But the real insight is his framework for predicting which companies will dominate — and it all comes down to data. "5 years ago, I said publicly that the future will be apps that are on smartphones that use Google Maps, GPS, and do something useful. Now, what I should have said was Uber." So what does he think will define the next wave of massive companies? Systems built on Android and iOS, fast networks, and powerful machine learning, with a crucial data advantage: "They're going to use the crowd to learn something." He illustrates with this example: Pay dermatologists $1 each to categorize skin samples. Feed that into a machine learning system. Then sell the diagnostic service back to them, because a system trained on thousands of experts will outperform any individual. Schmidt summarizes the winning data strategy: "You crowdsource information in, you learn it, and then you sell it. [This] is in my view a highly likely candidate for the next hundred billion dollar corporations." The blueprint: Aggregate expert data at scale → train ML systems on that data → sell superior insights back to the market. This is how the next generation of dominant companies will be built.
1:48

Google's former CEO Eric Schmidt on the data strategy behind the next hundred billion dollar companies: He explains that he evaluates startup ideas by looking at 5-year growth trajectories and asking whether there's a more scalable strategy available. Take a founder building an app they want to charge $10 for. Eric Schmidt's challenge: "Why not give it away for free and upsell users instead?" But the real insight is his framework for predicting which companies will dominate — and it all comes down to data. "5 years ago, I said publicly that the future will be apps that are on smartphones that use Google Maps, GPS, and do something useful. Now, what I should have said was Uber." So what does he think will define the next wave of massive companies? Systems built on Android and iOS, fast networks, and powerful machine learning, with a crucial data advantage: "They're going to use the crowd to learn something." He illustrates with this example: Pay dermatologists $1 each to categorize skin samples. Feed that into a machine learning system. Then sell the diagnostic service back to them, because a system trained on thousands of experts will outperform any individual. Schmidt summarizes the winning data strategy: "You crowdsource information in, you learn it, and then you sell it. [This] is in my view a highly likely candidate for the next hundred billion dollar corporations." The blueprint: Aggregate expert data at scale → train ML systems on that data → sell superior insights back to the market. This is how the next generation of dominant companies will be built.

Big Brain AI

104,452 views • 5 months ago

Sora 2 has the capabilities to make an entire anime episode with time and effort. This is a turning point for generative AI models and it is terrifying to think what is next to come. The difference between Sora and Sora 2 is absolutely staggering. Yes, this looks cool. I put the time into it to make it as close to art as possible. This was not simple to make and not just prompting and throwing it in some editor. Every frame is generated of another scene and even the reference image for characters I used to start this project were AI generated. This was all created with 10 second clips pulled apart and chunked out into the final product. Regardless of the imagery you see, I did not directly use any artist's art for this video. This 10-minute video was generated over the course of a week from more than 700 text prompts. It was built on technology trained by scraping the uncredited, uncompensated contributions of countless human artists and animators. The creation of this single video consumed an enormous amount of energy and water, equivalent to powering a home for days and requiring hundreds of liters of fresh water for cooling. But that is nothing. In the 10 minutes you spend watching this, the global network of AI video generators will create over 6,250 more short videos. The combined energy required for that 10 minutes of global creation is enough to power an average household for nearly 2 years. - It's a double-edged sword. While AI uses immense amount of energy has clear immoral issues with scalping the hard work of artists, this also provides those a medium who have potentially spent their life attempting to draw out the ideas in their head and failing to grasp it. My sister is an artist, I grew up always attempting to draw but never could get the image in my head on paper, I've spent the better part of over 20 years to teach myself through watching videos and practice, however I don't have steady hands and frankly have just been unable to make any vision come to life. Which brings me to the conflict here. This would have been a dream of mine to be able to get frames created and flesh out the story in my head. To make this video professionally, it would be an absurd amount of money. A small studio by itself would be over a million dollars just to start up. To hire a studio would be most likely over ~200k. I would love to make this story I have in my head through legit and traditional means, I would love to start a Kickstarter to get funding and hire artists, voice actors, and a production team. However I know that would most likely be an impossible reach that would further fuel the hate. Regardless, I understand the worry this causes. The fear this produces. However, we can't just ignore where AI is currently at and just tell people not to use it or even worse threaten people who use it. People will always use the shiny new toy in front of them, so the real question is how do we either make it work for us and work along side it, or how do we ACTUALLY implement a method to protect art rather than tell people to not use it. Respect your artists. Review their ToS and don't upload their hard work to a model without permission.
10:33

Sora 2 has the capabilities to make an entire anime episode with time and effort. This is a turning point for generative AI models and it is terrifying to think what is next to come. The difference between Sora and Sora 2 is absolutely staggering. Yes, this looks cool. I put the time into it to make it as close to art as possible. This was not simple to make and not just prompting and throwing it in some editor. Every frame is generated of another scene and even the reference image for characters I used to start this project were AI generated. This was all created with 10 second clips pulled apart and chunked out into the final product. Regardless of the imagery you see, I did not directly use any artist's art for this video. This 10-minute video was generated over the course of a week from more than 700 text prompts. It was built on technology trained by scraping the uncredited, uncompensated contributions of countless human artists and animators. The creation of this single video consumed an enormous amount of energy and water, equivalent to powering a home for days and requiring hundreds of liters of fresh water for cooling. But that is nothing. In the 10 minutes you spend watching this, the global network of AI video generators will create over 6,250 more short videos. The combined energy required for that 10 minutes of global creation is enough to power an average household for nearly 2 years. - It's a double-edged sword. While AI uses immense amount of energy has clear immoral issues with scalping the hard work of artists, this also provides those a medium who have potentially spent their life attempting to draw out the ideas in their head and failing to grasp it. My sister is an artist, I grew up always attempting to draw but never could get the image in my head on paper, I've spent the better part of over 20 years to teach myself through watching videos and practice, however I don't have steady hands and frankly have just been unable to make any vision come to life. Which brings me to the conflict here. This would have been a dream of mine to be able to get frames created and flesh out the story in my head. To make this video professionally, it would be an absurd amount of money. A small studio by itself would be over a million dollars just to start up. To hire a studio would be most likely over ~200k. I would love to make this story I have in my head through legit and traditional means, I would love to start a Kickstarter to get funding and hire artists, voice actors, and a production team. However I know that would most likely be an impossible reach that would further fuel the hate. Regardless, I understand the worry this causes. The fear this produces. However, we can't just ignore where AI is currently at and just tell people not to use it or even worse threaten people who use it. People will always use the shiny new toy in front of them, so the real question is how do we either make it work for us and work along side it, or how do we ACTUALLY implement a method to protect art rather than tell people to not use it. Respect your artists. Review their ToS and don't upload their hard work to a model without permission.

LUͦʷCͦk

18,417 views • 9 months ago

Elon Musk: Education shouldn't be such a huge chore. “If you're thinking like, what is education? You're basically downloading data and algorithms into your brain. And it's actually amazingly bad in conventional education. Because it shouldn't be like this huge chore. So you're making it way, way better. But I think a lot of things that I would say you've probably heard 100 times and are fact, or if not doing, the more you can gamify the process of learning, the better. For my kids, I do not have to encourage them to play video games. I have to pry them from their hands like crack. It's like, drop that crack needle. The crack is addictive. So to the degree that you can make somehow learning like a game, but then it's better. And I think unfortunately a lot of education is very vaudevillian. You've got someone standing up there kind of lecturing at people, and they've done the same lecture 20 years in a row, and they're not very excited about it.” Interview with Sal Khan, Khan Academy, April 22, 2013.
1:12

Elon Musk: Education shouldn't be such a huge chore. “If you're thinking like, what is education? You're basically downloading data and algorithms into your brain. And it's actually amazingly bad in conventional education. Because it shouldn't be like this huge chore. So you're making it way, way better. But I think a lot of things that I would say you've probably heard 100 times and are fact, or if not doing, the more you can gamify the process of learning, the better. For my kids, I do not have to encourage them to play video games. I have to pry them from their hands like crack. It's like, drop that crack needle. The crack is addictive. So to the degree that you can make somehow learning like a game, but then it's better. And I think unfortunately a lot of education is very vaudevillian. You've got someone standing up there kind of lecturing at people, and they've done the same lecture 20 years in a row, and they're not very excited about it.” Interview with Sal Khan, Khan Academy, April 22, 2013.

ELON CLIPS

34,228 views • 19 days ago

I am an outstandingly well trained and well- practiced RN; then outstandingly well trained and 30-year-practiced pediatric dentist and orthodontist. I did not start out anti-VAX by any means. In retrospect now, I would say I was a “vaxer.” But then I started having doubts about the flu vaccine when “they” claimed, “well we didn’t get the right strains that we thought were going to be prominent this year.” Then I had doubts about the Hep B vaccine, then the shingles vaccine, and so I sort of thought I am “anti-adult”vaccines. Then I had a new son join my family with my new husband. My new son had been diagnosed as autistic at age 2, immediately following his MMR vaccine. But childhood vaccines, I had always believed in strongly. After all when I was in high school I helped give the first oral polio vaccine doses on sugar cubes! Of course I felt I was doing something wonderful for the people, taking it, including myself, of course. But now, as I grew to love and work with my son who was injured after his MMR, doubts about childhood vaccines began. And, as I started digging, researching, I found evidence that the then DTP/DPT/DTap vaccine was strongly statistically linked to SIDS. Then I learned about the HPV/Gardisil vaccine and girls being severely injured and dying after that one. And to my horror, this awareness came after our daughter was required to have and had it to continue her university education at Texas A&M. She was fortunate- no severe adverse reactions, at least UP TO NOW. . (Following that vaccine, studies are showing that some recipients do end up with cervical cancer.) And then I learned from my American Academy of Pediatric Dentistry that they were recommending that I and (all pediatric dentists), push it with the parents for both boys and girls as young as nine years of age. That was it. I realized I am anti-vaccine. PS. When the COVID-19 vaccine came into our awareness in 2020, it was not only, “no way for my family and me, but something I knew I had to warn people about. And so, was born. Check it out if you want to be more aware of the sequences and progress of the politicization of that vaccine. It’s really fascinating to look back at. You will see the evolution of my awareness through that particular time, of how deadly and horrid our toxic vaccines can be. We will be moving all of the 20+ articles on RealDrJoy, to substack soon. Tracy Beanz Dr Margaret Aranda Laura Bartlett - I DO NOT CONSENT FORM™ Matt Youngblood🇺🇸🇺🇸🇺🇸 ℂ𝕒𝕥 ℂ𝕒𝕥 ℂ𝕒𝕥 Abby the Midwife
3:44

I am an outstandingly well trained and well- practiced RN; then outstandingly well trained and 30-year-practiced pediatric dentist and orthodontist. I did not start out anti-VAX by any means. In retrospect now, I would say I was a “vaxer.” But then I started having doubts about the flu vaccine when “they” claimed, “well we didn’t get the right strains that we thought were going to be prominent this year.” Then I had doubts about the Hep B vaccine, then the shingles vaccine, and so I sort of thought I am “anti-adult”vaccines. Then I had a new son join my family with my new husband. My new son had been diagnosed as autistic at age 2, immediately following his MMR vaccine. But childhood vaccines, I had always believed in strongly. After all when I was in high school I helped give the first oral polio vaccine doses on sugar cubes! Of course I felt I was doing something wonderful for the people, taking it, including myself, of course. But now, as I grew to love and work with my son who was injured after his MMR, doubts about childhood vaccines began. And, as I started digging, researching, I found evidence that the then DTP/DPT/DTap vaccine was strongly statistically linked to SIDS. Then I learned about the HPV/Gardisil vaccine and girls being severely injured and dying after that one. And to my horror, this awareness came after our daughter was required to have and had it to continue her university education at Texas A&M. She was fortunate- no severe adverse reactions, at least UP TO NOW. . (Following that vaccine, studies are showing that some recipients do end up with cervical cancer.) And then I learned from my American Academy of Pediatric Dentistry that they were recommending that I and (all pediatric dentists), push it with the parents for both boys and girls as young as nine years of age. That was it. I realized I am anti-vaccine. PS. When the COVID-19 vaccine came into our awareness in 2020, it was not only, “no way for my family and me, but something I knew I had to warn people about. And so, was born. Check it out if you want to be more aware of the sequences and progress of the politicization of that vaccine. It’s really fascinating to look back at. You will see the evolution of my awareness through that particular time, of how deadly and horrid our toxic vaccines can be. We will be moving all of the 20+ articles on RealDrJoy, to substack soon. Tracy Beanz Dr Margaret Aranda Laura Bartlett - I DO NOT CONSENT FORM™ Matt Youngblood🇺🇸🇺🇸🇺🇸 ℂ𝕒𝕥 ℂ𝕒𝕥 ℂ𝕒𝕥 Abby the Midwife

Dr. Chris Baker

62,705 views • 8 months ago

Robert Englund on how he was influenced by the performances of Klaus Kinski & James Cagney for his role as Freddy Kruger in "A Nightmare on Elm Street" (1984): "I saw the Klaus Kinski version of "Nosferatu the Vampyre" (1979, Herzog) with Isabelle Adjani, and I was so blown away by his work and I'm a big fan of Klaus Kinski's and so his freedom, his physical freedom in that film also influenced me to be freer and not be afraid to dance a little bit; to dance to Freddy a little bit or, as we say in the theatre, to wear the scenery a little bit. And sort of find my composition because so much of the scenery that Freddy is involved with is larger than life, it's surreal, it's the boiler-room, it's exaggerated, the set is mutating for whatever reasons and so Freddy, to kind of fill that frame, that rectangle, that picture frame, I wanted Freddy to be able to do that and kind of wear that scenery as if he was almost manifesting it himself in the imagination of whichever victim was hallucinating or dreaming it or having a nightmare in that landscape, so to speak. Yeah and that influenced me a lot and I would also use the hat a lot. I liked to use the hat to reveal the bald head - I liked to use the hat as silhouette and shadow and I liked to use the hat to hide behind. I could like literally hide my eyes from the light under the brim, and then at other times I could just barely lift my head and let the light in under the brim to catch my own eyes. So that was really informed part of Freddy, and then I think there was a little bit of Jimmy Cagney in there. There was a kind of a plant your legs wide, almost a little bit of Jimmy Cagney gangster thing. These are all like images that actors used, almost like having a bulletin board with scraps on them and they kind of inform you in your imagination and then they kind of manifest. I don't think anybody watching me would say Klaus Kinski or say Jimmy Cagney or say Bob Fosse or any of those things. But they did inform me a little bit. Because Freddy knows you're dreaming him, so it's almost like he's on stage. Freddy knows you're dreaming him and you're experiencing him as a spectre so I thought he would exploit that a little bit and milk it a little bit, you know." (Robert Englund's interview with Kwenton Bellette, Screenanarchy, 2012) P.S: Happy 79th birthday, Robert Englund!
1:41

Robert Englund on how he was influenced by the performances of Klaus Kinski & James Cagney for his role as Freddy Kruger in "A Nightmare on Elm Street" (1984): "I saw the Klaus Kinski version of "Nosferatu the Vampyre" (1979, Herzog) with Isabelle Adjani, and I was so blown away by his work and I'm a big fan of Klaus Kinski's and so his freedom, his physical freedom in that film also influenced me to be freer and not be afraid to dance a little bit; to dance to Freddy a little bit or, as we say in the theatre, to wear the scenery a little bit. And sort of find my composition because so much of the scenery that Freddy is involved with is larger than life, it's surreal, it's the boiler-room, it's exaggerated, the set is mutating for whatever reasons and so Freddy, to kind of fill that frame, that rectangle, that picture frame, I wanted Freddy to be able to do that and kind of wear that scenery as if he was almost manifesting it himself in the imagination of whichever victim was hallucinating or dreaming it or having a nightmare in that landscape, so to speak. Yeah and that influenced me a lot and I would also use the hat a lot. I liked to use the hat to reveal the bald head - I liked to use the hat as silhouette and shadow and I liked to use the hat to hide behind. I could like literally hide my eyes from the light under the brim, and then at other times I could just barely lift my head and let the light in under the brim to catch my own eyes. So that was really informed part of Freddy, and then I think there was a little bit of Jimmy Cagney in there. There was a kind of a plant your legs wide, almost a little bit of Jimmy Cagney gangster thing. These are all like images that actors used, almost like having a bulletin board with scraps on them and they kind of inform you in your imagination and then they kind of manifest. I don't think anybody watching me would say Klaus Kinski or say Jimmy Cagney or say Bob Fosse or any of those things. But they did inform me a little bit. Because Freddy knows you're dreaming him, so it's almost like he's on stage. Freddy knows you're dreaming him and you're experiencing him as a spectre so I thought he would exploit that a little bit and milk it a little bit, you know." (Robert Englund's interview with Kwenton Bellette, Screenanarchy, 2012) P.S: Happy 79th birthday, Robert Englund!

DepressedBergman

33,756 views • 1 month ago

Experiments in progress. The one on the right has been learning for ~3 hours, the one in the middle for ~1 hour, and the one on the left just started a few minutes ago. The initial motivation for making the physical Atari was just to commit ourselves to a subset of algorithms that can make progress in this setup. This commitment rules out algorithms that require billions of samples to learn (or worse, require multiple environments running in parallel). Atari games are simple enough that we should be able to show learning on them in a short amount of time with no prior knowledge. Since then, I've realized that this setup is also a good way to compare different paradigms in robotics in a principled way. These paradigms are sim2real, learning from tele-operated data, and learning directly on the robots. So far, I have observed that getting sim2real to work reliably is hard. It requires tweaks that don't scale. Policies that can play perfectly in simulation fall apart because of latencies and the messiness of the real world. These aspects could be modeled to improve the simulation, but not without sinking significant human engineering hours. I have higher hopes for learning from tele-operated data, but that requires a human to learn the task first. These experiments are on my to-do list. I have to learn to play some of the games well through the robot. I’m half-decent at playing Pong and Ms Pacman now. Learning directly on robots is looking like the most promising approach. This approach takes away pesky distribution shifts and makes it possible to have algorithms that continually improve with more data and time without any human intervention. It feels great to let experiments run overnight and wake up to find improved policies. With learning on robots, I should, in principle, be able to go on a long vacation and come back to find better policies for complex tasks beyond Atari games. Whether that is possible with current learning algorithms is a different question.
1:05

Experiments in progress. The one on the right has been learning for ~3 hours, the one in the middle for ~1 hour, and the one on the left just started a few minutes ago. The initial motivation for making the physical Atari was just to commit ourselves to a subset of algorithms that can make progress in this setup. This commitment rules out algorithms that require billions of samples to learn (or worse, require multiple environments running in parallel). Atari games are simple enough that we should be able to show learning on them in a short amount of time with no prior knowledge. Since then, I've realized that this setup is also a good way to compare different paradigms in robotics in a principled way. These paradigms are sim2real, learning from tele-operated data, and learning directly on the robots. So far, I have observed that getting sim2real to work reliably is hard. It requires tweaks that don't scale. Policies that can play perfectly in simulation fall apart because of latencies and the messiness of the real world. These aspects could be modeled to improve the simulation, but not without sinking significant human engineering hours. I have higher hopes for learning from tele-operated data, but that requires a human to learn the task first. These experiments are on my to-do list. I have to learn to play some of the games well through the robot. I’m half-decent at playing Pong and Ms Pacman now. Learning directly on robots is looking like the most promising approach. This approach takes away pesky distribution shifts and makes it possible to have algorithms that continually improve with more data and time without any human intervention. It feels great to let experiments run overnight and wake up to find improved policies. With learning on robots, I should, in principle, be able to go on a long vacation and come back to find better policies for complex tasks beyond Atari games. Whether that is possible with current learning algorithms is a different question.

Khurram Javed

52,110 views • 7 months ago

Quit my Job at Microsoft, and back to the Classroom as a Student - My Short Story. Till today, some say quitting my job at Microsoft doesn't make logical sense. To be serious, it doesn't make any logical sense especially when I have to return to the classroom and back to the job market. This was however necessary for me to pursue a new path for my family. When I was at Microsoft, on several occasions, I felt Microsoft was God's sent to Africa and I am the Evangelist. Explain to me why a company is investing so much in capacity development in Africa like Microsoft. Through relevant skills, we can bring many out of poverty, save them from the after-effects of unemployment, make them dream big and achieve it, and keep alive hopes in the hearts of millions of others with similar backgrounds like mine. So, I took my work with passion and purpose. I was allowed to support academic institutes in several countries and I appeared as a Guest Lecturer for Masters Courses on Advance Data Analytics. I relocated to the US and everything changed, back to the classroom but now as a Student. Indeed a humbling experience for me. I love every opportunity I have to make complex topics simple. You wouldn't know how much I know about Data Management, Data Science, Data Analytics, and Power Platform until you give me a Mic or Opportunity to lead (Yeah, kindly reach out if you would like to have such a passionate young man like myself in your team). I am deeply passionate about these fields and my passion is validated by years of work that I have invested in building up my skills. I have been opportune to lead diverse teams in my career and both my listening skill and ability to break down complex tasks made it easier to bring out the best in my team members. In this presentation, I explained what Supervised Machine Learning is, the data science workflow, and evaluating machine learning models, and I did a live demo in class - built a Supervised Machine Learning model to drive home full comprehension. I am looking for a Remote Internship for Summer 2024 in Data Analytics and I need your help to Like and Repost this. Who knows, I can be lucky enough to find a team that will give me a chance. Thank you in advance 🙏 #intern
1:00

Quit my Job at Microsoft, and back to the Classroom as a Student - My Short Story. Till today, some say quitting my job at Microsoft doesn't make logical sense. To be serious, it doesn't make any logical sense especially when I have to return to the classroom and back to the job market. This was however necessary for me to pursue a new path for my family. When I was at Microsoft, on several occasions, I felt Microsoft was God's sent to Africa and I am the Evangelist. Explain to me why a company is investing so much in capacity development in Africa like Microsoft. Through relevant skills, we can bring many out of poverty, save them from the after-effects of unemployment, make them dream big and achieve it, and keep alive hopes in the hearts of millions of others with similar backgrounds like mine. So, I took my work with passion and purpose. I was allowed to support academic institutes in several countries and I appeared as a Guest Lecturer for Masters Courses on Advance Data Analytics. I relocated to the US and everything changed, back to the classroom but now as a Student. Indeed a humbling experience for me. I love every opportunity I have to make complex topics simple. You wouldn't know how much I know about Data Management, Data Science, Data Analytics, and Power Platform until you give me a Mic or Opportunity to lead (Yeah, kindly reach out if you would like to have such a passionate young man like myself in your team). I am deeply passionate about these fields and my passion is validated by years of work that I have invested in building up my skills. I have been opportune to lead diverse teams in my career and both my listening skill and ability to break down complex tasks made it easier to bring out the best in my team members. In this presentation, I explained what Supervised Machine Learning is, the data science workflow, and evaluating machine learning models, and I did a live demo in class - built a Supervised Machine Learning model to drive home full comprehension. I am looking for a Remote Internship for Summer 2024 in Data Analytics and I need your help to Like and Repost this. Who knows, I can be lucky enough to find a team that will give me a chance. Thank you in advance 🙏 #intern

TheOyinbooke

215,978 views • 2 years ago

🚨NEW ZEALAND IN FULL BLOWN PANIC MODE! Health Care Worker/Data Administrator, Barry young, BLEW THE LID on How Many People Truly Died from Pfizer Vaccine Batches! He Was Then Raided and Now Faces 7 Years in Prison WHAT HAPPENED? Barry Young worked on a project at “Te Whatu Ora” as a data administrator to implement a vaccine payment system to providers. Te Whatu Ora is a Public Health Agency established by the New Zealand Government. Because Barry helped build this system, he had access to vaccine-related data and he was shocked to learn that a lot of people were dying a week after being vaccinated. Shocked at his discovery, he downloaded and shared that data with the world. THREE VIDEO BREAKDOWN: VIDEO #1 Barry Young breaks down how he came about this data and the Pfizer Vaccine batch data, showing a death rate ranging between 5-25%. VIDEO #2 Liz Gunn sounds the alarm that Barry Young, as well as someone who corroborated his findings, was RAIDED! She calls for a global effort to make this story known. VIDEO #3 The significance of this data being released. More context. WHERE THINGS ARE NOW: Te Whatu Ora has been granted an injunction that "prevents any publication of the data" by the Employment Relations Authority. Te Whatu Ora has alleged Young downloaded the data, and has since removed all his access to their systems. Barry Young, was charged with accessing a computer system for “dishonest purposes”, which carries a maximum penalty of seven years' prison. The police said they would be opposing his release on bail, because of the risk he could continue to spread “misinformation.” UNBELIEVABLE! I hope the people of New Zealand stand with this man. #nzdataleak
6:45

🚨NEW ZEALAND IN FULL BLOWN PANIC MODE! Health Care Worker/Data Administrator, Barry young, BLEW THE LID on How Many People Truly Died from Pfizer Vaccine Batches! He Was Then Raided and Now Faces 7 Years in Prison WHAT HAPPENED? Barry Young worked on a project at “Te Whatu Ora” as a data administrator to implement a vaccine payment system to providers. Te Whatu Ora is a Public Health Agency established by the New Zealand Government. Because Barry helped build this system, he had access to vaccine-related data and he was shocked to learn that a lot of people were dying a week after being vaccinated. Shocked at his discovery, he downloaded and shared that data with the world. THREE VIDEO BREAKDOWN: VIDEO #1 Barry Young breaks down how he came about this data and the Pfizer Vaccine batch data, showing a death rate ranging between 5-25%. VIDEO #2 Liz Gunn sounds the alarm that Barry Young, as well as someone who corroborated his findings, was RAIDED! She calls for a global effort to make this story known. VIDEO #3 The significance of this data being released. More context. WHERE THINGS ARE NOW: Te Whatu Ora has been granted an injunction that "prevents any publication of the data" by the Employment Relations Authority. Te Whatu Ora has alleged Young downloaded the data, and has since removed all his access to their systems. Barry Young, was charged with accessing a computer system for “dishonest purposes”, which carries a maximum penalty of seven years' prison. The police said they would be opposing his release on bail, because of the risk he could continue to spread “misinformation.” UNBELIEVABLE! I hope the people of New Zealand stand with this man. #nzdataleak

jamiemcintyre

432,340 views • 2 years ago