Loading video...

Video Failed to Load

There was a problem loading this video. This could be due to a temporary network issue or the video might be unavailable.

Exploring the mind-blowing ARCO-ERA5 dataset: hourly data for almost 300 climate variables, available globally from 1940 onwards!🤯 All packaged into a single cloud-friendly Zarr file, and loadable with a single line of Python code - crazy! Below: a month of wind waves + swell:

Dr Robbi Bishop-Taylor 🦋

7,586 subscribers

60,562 views • 2 years ago •via X (Twitter)

Education Science & Technology

Anya Rossi• Live Now

Private livecam show

0 Comments

No comments available

Comments from the original post will appear here

Related Videos

Drag & Drop to build AI agents 🤯 Introducing n8n, a visual UI for building AI agents with LangChain without writing a single line of Python code. Now build automation around LLM apps with NoCode and give superpowers to ChatGPT.

Drag & Drop to build AI agents 🤯 Introducing n8n, a visual UI for building AI agents with LangChain without writing a single line of Python code. Now build automation around LLM apps with NoCode and give superpowers to ChatGPT.

Shubham Saboo

548,409 views • 2 years ago

Hedra's new "Character 3" audio 2 video system is utterly mind blowing to me. Video below was generated with a single image + an audio file (no prompt - I left it blank). If you can't see the potential of this - no hope for you.

Hedra's new "Character 3" audio 2 video system is utterly mind blowing to me. Video below was generated with a single image + an audio file (no prompt - I left it blank). If you can't see the potential of this - no hope for you.

A.I.Warper

113,116 views • 1 year ago

Claude Sonnet 3.7 Coding Test Prompt: Create a single HTML file containing CSS and JavaScript to generate an animated weather card. The card should visually represent the following weather conditions with distinct animations: Wind: (e.g., moving clouds, swaying trees, or wind lines) Rain: (e.g., falling raindrops, puddles forming) Sun: (e.g., shining rays, bright background) Snow: (e.g., falling snowflakes, snow accumulating) Show all the weather card side by side The card should have a dark background. Provide all the HTML, CSS, and JavaScript code within this single file. The JavaScript should include a way to switch between the different weather conditions (e.g., a function or a set of buttons) to demonstrate the animations for each.

Claude Sonnet 3.7 Coding Test Prompt: Create a single HTML file containing CSS and JavaScript to generate an animated weather card. The card should visually represent the following weather conditions with distinct animations: Wind: (e.g., moving clouds, swaying trees, or wind lines) Rain: (e.g., falling raindrops, puddles forming) Sun: (e.g., shining rays, bright background) Snow: (e.g., falling snowflakes, snow accumulating) Show all the weather card side by side The card should have a dark background. Provide all the HTML, CSS, and JavaScript code within this single file. The JavaScript should include a way to switch between the different weather conditions (e.g., a function or a set of buttons) to demonstrate the animations for each.

Delusionals

866,327 views • 1 year ago

I've been playing around with Spline new video texture and I tried to combine it with Framer latest scroll transform interaction, here's the result! For someone who knows almost nothing about 3D and can't write a single line of code that is pretty cool huh? 🚀

I've been playing around with Spline new video texture and I tried to combine it with Framer latest scroll transform interaction, here's the result! For someone who knows almost nothing about 3D and can't write a single line of code that is pretty cool huh? 🚀

Matt

48,249 views • 3 years ago

📢📢𝐍𝐞𝐑𝐒𝐞𝐦𝐛𝐥𝐞 𝐯𝟐 𝐃𝐚𝐭𝐚𝐬𝐞𝐭 𝐑𝐞𝐥𝐞𝐚𝐬𝐞📢📢 Head captures of 7.1MP from 16 cameras at 73fps: * More recordings (425 people) * Better color calibration * Convenient download scripts The new version of our dataset adds 156 participants for a total of 425 different people. In its entirety, the dataset provides now 65 million images from over 15 hours of diverse human facial expression performances. We improved the color consistency of the recorded images with a better color calibration procedure. As a result, 3D reconstructions with images from the NeRSemble dataset should become better and look more realistic. Finally, we made it much easier to download the recordings with our new download repository. It now just takes a single command to download all frontal hair shake videos of all participants or to download all recordings of a single participant. Check it out: Awesome work by Tobias Kirschstein Simon Giebenhain !!!

📢📢𝐍𝐞𝐑𝐒𝐞𝐦𝐛𝐥𝐞 𝐯𝟐 𝐃𝐚𝐭𝐚𝐬𝐞𝐭 𝐑𝐞𝐥𝐞𝐚𝐬𝐞📢📢 Head captures of 7.1MP from 16 cameras at 73fps: * More recordings (425 people) * Better color calibration * Convenient download scripts The new version of our dataset adds 156 participants for a total of 425 different people. In its entirety, the dataset provides now 65 million images from over 15 hours of diverse human facial expression performances. We improved the color consistency of the recorded images with a better color calibration procedure. As a result, 3D reconstructions with images from the NeRSemble dataset should become better and look more realistic. Finally, we made it much easier to download the recordings with our new download repository. It now just takes a single command to download all frontal hair shake videos of all participants or to download all recordings of a single participant. Check it out: Awesome work by Tobias Kirschstein Simon Giebenhain !!!

Matthias Niessner

12,089 views • 1 year ago

$A startup in China packed roughly 1,000 Mac Mini M4 computers into a single data center to run AI workloads without paying ongoing cloud fees. The base Mac Mini M4 starts at $599 and draws just 10 to 30 watts under load, a fraction of the 300 to 500 watts a traditional GPU server pulls.$

A startup in China packed roughly 1,000 Mac Mini M4 computers into a single data center to run AI workloads without paying ongoing cloud fees. The base Mac Mini M4 starts at $599 and draws just 10 to 30 watts under load, a fraction of the 300 to 500 watts a traditional GPU server pulls.

Massimo

2,123,435 views • 1 month ago

🚀 A sneak peek of a new feature in the #GeoAI Python package! Now you can train an image segmentation model for extracting features (e.g., buildings) from satellite or aerial imagery—all with just a few lines of code. 🛠️ Check out the GitHub repository: 📚 Dive into the documentation: 📺 Check out the entire YouTube playlist: #GeoAI #geospatial #AI #Python #DeepLearning

🚀 A sneak peek of a new feature in the #GeoAI Python package! Now you can train an image segmentation model for extracting features (e.g., buildings) from satellite or aerial imagery—all with just a few lines of code. 🛠️ Check out the GitHub repository: 📚 Dive into the documentation: 📺 Check out the entire YouTube playlist: #GeoAI #geospatial #AI #Python #DeepLearning

Qiusheng Wu

11,284 views • 1 year ago

A dream of our lab has been to image the full central dogma from a single endogenous gene, all live and with single molecule resolution. After many years we are happy to unveil a beautiful cell line that makes it possible. Check out our preprint ( (1/n)

A dream of our lab has been to image the full central dogma from a single endogenous gene, all live and with single molecule resolution. After many years we are happy to unveil a beautiful cell line that makes it possible. Check out our preprint ( (1/n)

Timothy

206,344 views • 2 years ago

🇨🇳 CHINA DROPS A GIANT: WORLD’S BIGGEST WIND TURBINE China just planted the world’s largest offshore wind turbine - a 26-megawatt beast with a massive rotor. Once it’s plugged into the grid, this single unit will pump out 100 million kWh a year - enough juice for 55,000 households. One turbine, an entire city’s worth of power. While the West debates climate bills, China’s busy building megastructures that redefine the scale of clean energy. For perspective: Europe’s biggest offshore turbines max out around 15–18 MW. This one makes them look like pinwheels. The era of small green gestures is over. China’s turning the climate race into an arms race - and dropping titans into the sea. Source: CCTV, Xinhua

🇨🇳 CHINA DROPS A GIANT: WORLD’S BIGGEST WIND TURBINE China just planted the world’s largest offshore wind turbine - a 26-megawatt beast with a massive rotor. Once it’s plugged into the grid, this single unit will pump out 100 million kWh a year - enough juice for 55,000 households. One turbine, an entire city’s worth of power. While the West debates climate bills, China’s busy building megastructures that redefine the scale of clean energy. For perspective: Europe’s biggest offshore turbines max out around 15–18 MW. This one makes them look like pinwheels. The era of small green gestures is over. China’s turning the climate race into an arms race - and dropping titans into the sea. Source: CCTV, Xinhua

Mario Nawfal

73,927 views • 11 months ago

AN AWS ENGINEER QUIETLY BUILT A 2 PETABYTE HOME SERVER FOR $9/MONTH THAT KILLS A $3,400/MONTH CLOUD STORAGE BILL the lenovo thinkstation pgx ships nvidia's gb10 grace blackwell superchip and 128gb of unified memory in a box the size of a mac mini at 1.2kg it runs an 80b qwen3 coder model at 25 to 40 tokens per second and a 196b step-3.5-flash moe model at 20 tokens per second locally the gb10 packs 6,144 cuda cores, 192 fifth-generation tensor cores and rates at 1 petaflop of fp4 with sparsity from a single 240 watt usb-c power supply fine tuning qwen 2.5 7b with lora took 18 minutes and 41gb of unified memory while the gpu pulled 65 watts and peaked at 77 degrees the box pulls a docker container from nvidia's registry and serves a frontier model on your local network with tool calling and zero data leaving your desk bookmark this and read the article below

AN AWS ENGINEER QUIETLY BUILT A 2 PETABYTE HOME SERVER FOR $9/MONTH THAT KILLS A $3,400/MONTH CLOUD STORAGE BILL the lenovo thinkstation pgx ships nvidia's gb10 grace blackwell superchip and 128gb of unified memory in a box the size of a mac mini at 1.2kg it runs an 80b qwen3 coder model at 25 to 40 tokens per second and a 196b step-3.5-flash moe model at 20 tokens per second locally the gb10 packs 6,144 cuda cores, 192 fifth-generation tensor cores and rates at 1 petaflop of fp4 with sparsity from a single 240 watt usb-c power supply fine tuning qwen 2.5 7b with lora took 18 minutes and 41gb of unified memory while the gpu pulled 65 watts and peaked at 77 degrees the box pulls a docker container from nvidia's registry and serves a frontier model on your local network with tool calling and zero data leaving your desk bookmark this and read the article below

starmex

192,758 views • 1 month ago

Arrived in Bozeman earlier today. Got a good kicking practice in some nice weather with minimal wind. 100% from FG on the day with 8/8 charting (40-50 yards on the hashes), kickoffs all 78+ yards with some into the stands, and a couple 60+ punts from line of scrimmage.

Arrived in Bozeman earlier today. Got a good kicking practice in some nice weather with minimal wind. 100% from FG on the day with 8/8 charting (40-50 yards on the hashes), kickoffs all 78+ yards with some into the stands, and a couple 60+ punts from line of scrimmage.

Brendan Hall

31,812 views • 3 years ago

A sneak peek of a new feature in the #GeoAI Python package! 🎉 Now you can detect cars from georeferenced aerial imagery using deep learning—all with just a few lines of code. Stay tuned for an in-depth video tutorial coming soon! 🛠️ Explore the GitHub repository: 📚 Dive into the documentation: 📺 Check out the entire YouTube playlist:

A sneak peek of a new feature in the #GeoAI Python package! 🎉 Now you can detect cars from georeferenced aerial imagery using deep learning—all with just a few lines of code. Stay tuned for an in-depth video tutorial coming soon! 🛠️ Explore the GitHub repository: 📚 Dive into the documentation: 📺 Check out the entire YouTube playlist:

Qiusheng Wu

45,651 views • 1 year ago

A Closer Look at Alchemist AI v3.5🔎 In v1, one agent handled everything. You’d enter a prompt like “make a snake game” and get a single block of code—one input, one output. v2 introduced multiple agents with specialized roles: prompt refinement, frontend, backend, and review. It brought more structure, but the process was still linear. Each step produced a single output. With v3, a single agent could handle multiple tasks. It generated HTML, CSS, JavaScript, searched for assets, and more—all in one go, while maintaining full context. Now in v3.5, we combine both models. Multiple agents work in parallel, each capable of producing multiple outputs at once. The prompt compiler adapts based on what you're building. A 3D game? It prioritizes game engines, rendering, and mechanics. A website or 2D app? It shifts focus to relevant frameworks and tools. The tool handler can call several services simultaneously, feeding context-aware data into the code generator for real-time execution. From single-output generation to parallel, adaptive workflows. In the next breakdown, we’ll dive into the architecture behind our proprietary engine in v3.5.

A Closer Look at Alchemist AI v3.5🔎 In v1, one agent handled everything. You’d enter a prompt like “make a snake game” and get a single block of code—one input, one output. v2 introduced multiple agents with specialized roles: prompt refinement, frontend, backend, and review. It brought more structure, but the process was still linear. Each step produced a single output. With v3, a single agent could handle multiple tasks. It generated HTML, CSS, JavaScript, searched for assets, and more—all in one go, while maintaining full context. Now in v3.5, we combine both models. Multiple agents work in parallel, each capable of producing multiple outputs at once. The prompt compiler adapts based on what you're building. A 3D game? It prioritizes game engines, rendering, and mechanics. A website or 2D app? It shifts focus to relevant frameworks and tools. The tool handler can call several services simultaneously, feeding context-aware data into the code generator for real-time execution. From single-output generation to parallel, adaptive workflows. In the next breakdown, we’ll dive into the architecture behind our proprietary engine in v3.5.

ALCHEMIST AI 🔮

12,689 views • 1 year ago

ANTHROPIC'S LEAD ENGINEER ACCIDENTALLY LEAKED HIS PERSONAL OBSIDIAN VAULT. INSIDE - NO CODE, NO PROMPTS. JUST A SCHEMATIC OF HIS OWN MIND, BUILT LIKE A NEURAL NETWORK 8,893 nodes. 4,729 links. A $10-a-month app opens Obsidian. 21 inputs, 10+ hidden layers, ReLU activation. First layer 64 neurons, then 37, then 22, all the way to the output. Thousands of connections firing in real time this isn't a concept diagram from a blog - it's a living brain that actually runs decisions inside the company. 9,000 documents, each its own knowledge space, all interconnected he makes around $2M a year for putting markdown files into the right folders. The company building the best AI in the world manages its internal knowledge with the same app a college freshman uses for lecture notes. hasn't written a single line of infrastructure for any of it. three years of discipline and one open Obsidian tab you're reading this on a device where you could open the same Obsidian tonight and start building your own vault

ANTHROPIC'S LEAD ENGINEER ACCIDENTALLY LEAKED HIS PERSONAL OBSIDIAN VAULT. INSIDE - NO CODE, NO PROMPTS. JUST A SCHEMATIC OF HIS OWN MIND, BUILT LIKE A NEURAL NETWORK 8,893 nodes. 4,729 links. A $10-a-month app opens Obsidian. 21 inputs, 10+ hidden layers, ReLU activation. First layer 64 neurons, then 37, then 22, all the way to the output. Thousands of connections firing in real time this isn't a concept diagram from a blog - it's a living brain that actually runs decisions inside the company. 9,000 documents, each its own knowledge space, all interconnected he makes around $2M a year for putting markdown files into the right folders. The company building the best AI in the world manages its internal knowledge with the same app a college freshman uses for lecture notes. hasn't written a single line of infrastructure for any of it. three years of discipline and one open Obsidian tab you're reading this on a device where you could open the same Obsidian tonight and start building your own vault

chewa.

1,209,046 views • 1 month ago

A guy in Vancouver built an entire operating system inside a Chrome tab. By himself. Over six years. His personal website is the OS. You open and a Windows-style desktop loads. File explorer. Start menu. Taskbar. You can drag in a zip and extract it. You can play DOOM. You can play Quake III Arena. You can boot Linux from an ISO. You can run Stable Diffusion locally for image generation. You can open a Python terminal. You can edit code in Monaco, the same engine that powers VS Code. All of it runs in your browser tab. Nothing installs. His name is Dustin Brett. Self-taught engineer. Father. Husband. 4,473 commits. All his. He had to swap the Windows icon for the π symbol because of legal pressure. The repo has 12,883 stars. MIT license. His hosting bill is one dollar a month. A single Cloudflare CDN does the rest. This is what the open web was built for. (Link in the comments)

A guy in Vancouver built an entire operating system inside a Chrome tab. By himself. Over six years. His personal website is the OS. You open and a Windows-style desktop loads. File explorer. Start menu. Taskbar. You can drag in a zip and extract it. You can play DOOM. You can play Quake III Arena. You can boot Linux from an ISO. You can run Stable Diffusion locally for image generation. You can open a Python terminal. You can edit code in Monaco, the same engine that powers VS Code. All of it runs in your browser tab. Nothing installs. His name is Dustin Brett. Self-taught engineer. Father. Husband. 4,473 commits. All his. He had to swap the Windows icon for the π symbol because of legal pressure. The repo has 12,883 stars. MIT license. His hosting bill is one dollar a month. A single Cloudflare CDN does the rest. This is what the open web was built for. (Link in the comments)

Nav Toor

72,629 views • 1 month ago

The newest version of our Almanac preprint is out, and just in time for our demo at the Stanford AIMI Symposium 2023! Almanac is a retrieval-augmented LLM that provides up-to-date and verifiable answers to medical queries. Link: We benchmark our approach on a novel dataset of clinical scenarios (n = 130) evaluated by a panel of 5 board-certified & resident physicians, and demonstrate significant increases in factuality (mean of 18% at p-value < 0.05) across all specialties. More interestingly, because the retrieved data acts as a single source of truth, we find retrieval-based LLMs to be more robust to prompt injection and manipulation! Future work will involve expanding the scope of our dataset to more specialties and multimodal settings. #Medtwitter #MedEd

The newest version of our Almanac preprint is out, and just in time for our demo at the Stanford AIMI Symposium 2023! Almanac is a retrieval-augmented LLM that provides up-to-date and verifiable answers to medical queries. Link: We benchmark our approach on a novel dataset of clinical scenarios (n = 130) evaluated by a panel of 5 board-certified & resident physicians, and demonstrate significant increases in factuality (mean of 18% at p-value < 0.05) across all specialties. More interestingly, because the retrieved data acts as a single source of truth, we find retrieval-based LLMs to be more robust to prompt injection and manipulation! Future work will involve expanding the scope of our dataset to more specialties and multimodal settings. #Medtwitter #MedEd

Cyril Zakka, MD

18,128 views • 3 years ago

Written by Maurice White and Al McKay of Earth, Wind & Fire. The song earned a Grammy for Best R&B Performance by a Duo or Group with Vocals and an American Music Award for Favorite Soul/R&B Single. Billboard later ranked it #1 on their list of the Top 40 Biggest Girl Group Songs of All Time. Fun fact: The vocals span nearly three octaves, from C4 to an astonishing C6 in the outro! Show offs.

Written by Maurice White and Al McKay of Earth, Wind & Fire. The song earned a Grammy for Best R&B Performance by a Duo or Group with Vocals and an American Music Award for Favorite Soul/R&B Single. Billboard later ranked it #1 on their list of the Top 40 Biggest Girl Group Songs of All Time. Fun fact: The vocals span nearly three octaves, from C4 to an astonishing C6 in the outro! Show offs.

🇺🇸Hot Pepper

26,224 views • 7 months ago