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Getting milked by a Dark Elf Warrior. Model - RyanReos VA - Aunii ♡ VA map - Quick E • Commissions Open No Watermark and BBC alt available on my support site! Link in bi0! #nsfwtwtًً #rule34ㅤㅤㅤ #r34 #NSFW

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Unhindered Fool

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47,311 Aufrufe • vor 13 Tagen •via X (Twitter)

NSFW#nsfwtwtًً#rule34ㅤㅤㅤ#r34#NSFW
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A lucid dream will come true! my motion comic BUNNYBELL'S HEAVEN is getting closer and closer to release it would help me a lot to support me in my networks if you are interested in this project! CAST Bunnybell - Cinder - Adult VA 💋✨ Angeline - Invader Noodles 🌸💓 NSFW VA! Bunnybang - HARULUNA | Voice Actress | COMM OPEN
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A lucid dream will come true! my motion comic BUNNYBELL'S HEAVEN is getting closer and closer to release it would help me a lot to support me in my networks if you are interested in this project! CAST Bunnybell - Cinder - Adult VA 💋✨ Angeline - Invader Noodles 🌸💓 NSFW VA! Bunnybang - HARULUNA | Voice Actress | COMM OPEN

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The Daily Mail has attempted to ruin my life. They have called me a 'White supremacist' and a 'Neo Nazi' without evidence, my face with these words on it has been put on the front page of one of the biggest media outlets in Britain, getting seen by millions. They gave me no right to reply nor a heads up that this was coming out. This has completely changed the direction of my life and has already wrecked my work life and public image. If you do want to support me through this struggle here is the link -
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The Daily Mail has attempted to ruin my life. They have called me a 'White supremacist' and a 'Neo Nazi' without evidence, my face with these words on it has been put on the front page of one of the biggest media outlets in Britain, getting seen by millions. They gave me no right to reply nor a heads up that this was coming out. This has completely changed the direction of my life and has already wrecked my work life and public image. If you do want to support me through this struggle here is the link -

Angloid

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We made a thing! Very happy to announce sqlcoder-pro and the Defog Alignment Platform. Available to use immediately without a wait-list, weights will be open-sourced very soon. The video does a quick show and tell comparison against ChatGPT (with gpt-4o). Read on for more details! TLDR 💪 equal (or better) performance on text-to-SQL as the most capable Claude-3.5 or GPT-4 models 🤝 You can use it today on a free plan/free trial, without a waitlist 🪽 self-hostable on a single RTX4090, with 2 second median generation times for SQL queries 🔁 exactly the same output every time, give the same prompt 👨🏻‍🏫 teachable and steerable: show the model what you want it to do 🛞 debuggable – you can understand WTF is going on inside the model, instead of treating it like a black box Let's dig into each of these one-by-one! Performance SQLCoder-8b-pro significantly exceeds the performance of our previous sqlcoder-8b model on Postgres text-to-SQL (from 88.2% to 90.2% accuracy - gpt-4o is at 87.6%, for reference). It is also better at following instructions. This was done via self-merges, hand crafted fine-tuning data, and adapting the training data to fit our tokenizer. Cost You can host this on the model on a single $3,500 RTX4090, and support ~5 requests/second via VLLM. If you're looking to host on the cloud instead, you can run it on a single L4 GPU that costs $300/mo on GCP Repeatability We have a dense 8b model with no MoE shenanigans. For the same prompt with temperature=0, you'll always get the same answer – which is critical in BI. Teachable In our alignment and feedback modes, you can give the model feedback on how it answered certain questions, and it will automatically adapt to the feedback. Debuggable You can use logprobs and attention scores to determine where, exactly is the model paying attention to inside a prompt + what it's getting confused by when generating outputs. Available today You can use Defog on the cloud today by going to docs[dot]defog[dot]ai, and getting an API key. Excited to hear what you think!

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13,465 Aufrufe • vor 2 Jahren

This guy replaced an $8,000 survey crew with one drone and a pipeline on Claude Code that digitizes a whole site in a single trip. Inside it is not one drone but a whole pipeline of 5 modules on Claude Code each with its own job all answering to a single orchestrator. And he built them himself with no team. He draws one line on the map from the controller and the whole site starts turning into data at once. Pilot flies the DJI Matrice 350 RTK along the route and reaches where a crew drags tripods: the parking lot and the roofs and the grading. Scanner on the Zenmuse L2 records the geometry with a laser down to the centimeter. Builder in DJI Terra stitches the point cloud into a digital twin. Analyst on Claude builds what the client needs out of the finished model: a volume report and a progress diff and a tour behind a link. Mobile lives in his iPhone and hands the developer a link to the model while he drives to the next site. The site is ready as a file in about an hour and the developer rotates it in the browser himself and measures distances. No crew. No tripods. No week on site. Just him and a pickup and a drone and one API key. The whole processing pipeline lives in a folder at /Users/dev/site-capture. But he did not stop at a one time scan. The pipeline raises him by voice only when a flight misses a patch or when a sag on site goes past tolerance. And this is not made up: the DJI Matrice 350 RTK and the Zenmuse L2 are off the shelf enterprise hardware. The specs are one search away and the L2 really does write around 240,000 points per second. A crew for the same job charges $8,000 and three trips plus a week of desk work. His cost is tokens and subscriptions: one battery charge per flight and around $300 a month to host the finished models. In the end he draws one line on the map and an operator that does not exist scans the site and calculates the volumes and builds the report while he never leaves his truck. There is a huge market of everyone who needs to measure construction sites and warehouses and roofs and parking lots over and over while they still send out a photographer with a camera and wait a week. And he built this whole pipeline himself: one drone and one scanner and Claude Code that turns a flight into a file the developer pays for.
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This guy replaced an $8,000 survey crew with one drone and a pipeline on Claude Code that digitizes a whole site in a single trip. Inside it is not one drone but a whole pipeline of 5 modules on Claude Code each with its own job all answering to a single orchestrator. And he built them himself with no team. He draws one line on the map from the controller and the whole site starts turning into data at once. Pilot flies the DJI Matrice 350 RTK along the route and reaches where a crew drags tripods: the parking lot and the roofs and the grading. Scanner on the Zenmuse L2 records the geometry with a laser down to the centimeter. Builder in DJI Terra stitches the point cloud into a digital twin. Analyst on Claude builds what the client needs out of the finished model: a volume report and a progress diff and a tour behind a link. Mobile lives in his iPhone and hands the developer a link to the model while he drives to the next site. The site is ready as a file in about an hour and the developer rotates it in the browser himself and measures distances. No crew. No tripods. No week on site. Just him and a pickup and a drone and one API key. The whole processing pipeline lives in a folder at /Users/dev/site-capture. But he did not stop at a one time scan. The pipeline raises him by voice only when a flight misses a patch or when a sag on site goes past tolerance. And this is not made up: the DJI Matrice 350 RTK and the Zenmuse L2 are off the shelf enterprise hardware. The specs are one search away and the L2 really does write around 240,000 points per second. A crew for the same job charges $8,000 and three trips plus a week of desk work. His cost is tokens and subscriptions: one battery charge per flight and around $300 a month to host the finished models. In the end he draws one line on the map and an operator that does not exist scans the site and calculates the volumes and builds the report while he never leaves his truck. There is a huge market of everyone who needs to measure construction sites and warehouses and roofs and parking lots over and over while they still send out a photographer with a camera and wait a week. And he built this whole pipeline himself: one drone and one scanner and Claude Code that turns a flight into a file the developer pays for.

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Current progress on my AI Tattoo app 🤓 The Tattoo Playground is powered by: - CSS animations in RN (hat tip Kacper Kapuściak) - Expo Module for a native SwiftUI input view (via Kavsoft) - Custom haptic engine with expo-modules by vo—va 🇺🇦 (also used in Fuse 🤩) - Pressto for seamless pressable handling (thanks Enzo Manuel Mangano) - Sonner Native for toasts thanks to Gunnar Torfi - Apple Foundation Models for on-device prompt suggestions (via expo-modules) - Expo Router v7 (canary) for routing + API Routes on EAS Hosting - React Native Screens (v4.18.0) with UITabBarItem support - Expo UI (context menus) + Expo Image - React Native Reanimated by Software Mansion - Nano Banana 2 Lite for amazing image results - And more! :) Source code is available for Code with Beto members — link below 👇
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Current progress on my AI Tattoo app 🤓 The Tattoo Playground is powered by: - CSS animations in RN (hat tip Kacper Kapuściak) - Expo Module for a native SwiftUI input view (via Kavsoft) - Custom haptic engine with expo-modules by vo—va 🇺🇦 (also used in Fuse 🤩) - Pressto for seamless pressable handling (thanks Enzo Manuel Mangano) - Sonner Native for toasts thanks to Gunnar Torfi - Apple Foundation Models for on-device prompt suggestions (via expo-modules) - Expo Router v7 (canary) for routing + API Routes on EAS Hosting - React Native Screens (v4.18.0) with UITabBarItem support - Expo UI (context menus) + Expo Image - React Native Reanimated by Software Mansion - Nano Banana 2 Lite for amazing image results - And more! :) Source code is available for Code with Beto members — link below 👇

Beto

35,480 Aufrufe • vor 9 Monaten

six months ago this wasn't happening on 8gb vram. running unsloth's Q4_K_XL quant of gemma 4 26b-a4b-it-qat, a sparse MoE model with only 4b active params on a single rtx 4060 laptop gpu, 8gb vram, 20+ tok/s decode. no cloud, no api, no offload hacks. just a gaming laptop on battery. what makes it fit: google's QAT (quantization aware training), plus MTP (multi token prediction) support in the latest llama.cpp builds. that combo is the single biggest unlock for local inference on low vram. rtx 3060, rtx 3070, gtx 1070, gtx 1080, rtx 4050, rtx 4060, rtx 5050, rtx 5060 — any 6-8gb consumer gpu, old or new — this model runs on it. world cup season, so i told it to build a soccer themed flappy bird clone. one shot, zero iteration, fully playable. six months ago an 8gb model could barely clone vanilla flappy bird. now it's shipping a themed game from a sparse MoE model running locally on a laptop battery. inference benchmarks: - decode throughput: 30 tok/s - context: 64k. this is the real unlock. 64k ctx is what makes a hermes agent loop viable locally on this model, not just single-turn chat. llama.cpp flags: -m gemma-4-26B-A4B-it-qat-UD-Q4_K_XL.gguf -c 64000 -cmoe --port 8080 game's deployed on my own site, built and shipped end to end with open source llm, zero closed source api dependency in the pipeline. link in the description. gguf weights on huggingface, link in the comments. pull it down, run it on whatever 8gb card is sitting in your rig. try the game and tell me your score and what you want in v2. local llms on consumer gpus stopped being a meme.
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six months ago this wasn't happening on 8gb vram. running unsloth's Q4_K_XL quant of gemma 4 26b-a4b-it-qat, a sparse MoE model with only 4b active params on a single rtx 4060 laptop gpu, 8gb vram, 20+ tok/s decode. no cloud, no api, no offload hacks. just a gaming laptop on battery. what makes it fit: google's QAT (quantization aware training), plus MTP (multi token prediction) support in the latest llama.cpp builds. that combo is the single biggest unlock for local inference on low vram. rtx 3060, rtx 3070, gtx 1070, gtx 1080, rtx 4050, rtx 4060, rtx 5050, rtx 5060 — any 6-8gb consumer gpu, old or new — this model runs on it. world cup season, so i told it to build a soccer themed flappy bird clone. one shot, zero iteration, fully playable. six months ago an 8gb model could barely clone vanilla flappy bird. now it's shipping a themed game from a sparse MoE model running locally on a laptop battery. inference benchmarks: - decode throughput: 30 tok/s - context: 64k. this is the real unlock. 64k ctx is what makes a hermes agent loop viable locally on this model, not just single-turn chat. llama.cpp flags: -m gemma-4-26B-A4B-it-qat-UD-Q4_K_XL.gguf -c 64000 -cmoe --port 8080 game's deployed on my own site, built and shipped end to end with open source llm, zero closed source api dependency in the pipeline. link in the description. gguf weights on huggingface, link in the comments. pull it down, run it on whatever 8gb card is sitting in your rig. try the game and tell me your score and what you want in v2. local llms on consumer gpus stopped being a meme.

Alok

61,660 Aufrufe • vor 2 Monaten

✊ Data belongs to the people. Democracy runs on transperancy West Bengal's Special Intensive Revision (SIR) 2026 data ie. the data that determines whether your name stays on the voter list, is technically "public." But try accessing it. You'll hit CAPTCHAs. Download limits. Scanned PDFs that no machine can read. Data buried so deep it may as well not exist. So we did something about it. Sabar Institute, with the help of our researcher Souptik Halder and support from our team of SABIR AHAMED, Ashin Chakraborty and Sohail Mallick has built free, open, interactive maps of SIR 2026 data across all 294 West Bengal Assembly constituencies and we're making them available to every journalist, researcher, activist, and citizen who needs them. 🪦 ASDD Deletion Map — See exactly where voters are being deleted as Absent, Shifted, Dead, or Duplicate. Track overall deletion %, gender ratio, death counts, untraceable voters — assembly by assembly, on a live map. ⚖️ Supplementary Adjudication Map — Follow the adjudication trail: who's under review, how many were added or deleted, what percentage are still pending — across every single constituency. Why does this matter? Because mass deletions from voter rolls don't affect everyone uniformly. They happen in specific places, to specific communities, in patterns that deserve scrutiny. You cannot scrutinize what you cannot see. 🔗 Link to explore the map is in the next tweet If this work matters to you, support us using the link below👇 #DataForBetterLives
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✊ Data belongs to the people. Democracy runs on transperancy West Bengal's Special Intensive Revision (SIR) 2026 data ie. the data that determines whether your name stays on the voter list, is technically "public." But try accessing it. You'll hit CAPTCHAs. Download limits. Scanned PDFs that no machine can read. Data buried so deep it may as well not exist. So we did something about it. Sabar Institute, with the help of our researcher Souptik Halder and support from our team of SABIR AHAMED, Ashin Chakraborty and Sohail Mallick has built free, open, interactive maps of SIR 2026 data across all 294 West Bengal Assembly constituencies and we're making them available to every journalist, researcher, activist, and citizen who needs them. 🪦 ASDD Deletion Map — See exactly where voters are being deleted as Absent, Shifted, Dead, or Duplicate. Track overall deletion %, gender ratio, death counts, untraceable voters — assembly by assembly, on a live map. ⚖️ Supplementary Adjudication Map — Follow the adjudication trail: who's under review, how many were added or deleted, what percentage are still pending — across every single constituency. Why does this matter? Because mass deletions from voter rolls don't affect everyone uniformly. They happen in specific places, to specific communities, in patterns that deserve scrutiny. You cannot scrutinize what you cannot see. 🔗 Link to explore the map is in the next tweet If this work matters to you, support us using the link below👇 #DataForBetterLives

SABAR Institute

31,593 Aufrufe • vor 4 Monaten

GeoLibre v2.7.0 is here! GeoLibre is a free and open-source, lightweight, cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data. It runs everywhere you do, in the web browser, on the desktop, on mobile, and inside Jupyter notebooks, all while keeping your data local and private. This release is about building analysis instead of typing it: a visual Model Builder for processing workflows, a STAC browser that can add every asset type the app can draw, and a Chrome extension that opens the data on any web page in one click. 97 pull requests merged in 9 days, from 11 contributors besides me, 9 of whom sent their first contribution to GeoLibre in this cycle. Thank you all. What's new in v2.7.0 - Model Builder, a visual canvas for processing: drop tools as nodes, wire one tool's output into the next tool's input, and save the graph as a model that re-runs as a single job. The whole graph is validated before anything executes. - Your AI assistant can build one for you: describe a workflow in plain English, and it authors a validated model and opens it for review before it runs. Any model copies out as a runnable Python script. - Open data in GeoLibre, a Chrome extension now on the Chrome Web Store: it finds the dataset links and map services on the page you are viewing, including services inside embedded maps, and opens the ones you pick together on one map. - The STAC browser adds everything: PMTiles, GeoParquet, and Zarr with a variable picker join the COGs it already loaded, Icechunk repositories are read through their own manifest, and private Planetary Computer assets are signed for you. A static catalog can now be walked as a tree, not only searched. - Select features by drawing on the map: click, rectangle, polygon, freehand, and radius gestures, with Shift and Alt combining into the selection you already have. No more describing features in an expression to pick a handful of them. - Apache Iceberg tables load as vector layers, read in the browser through DuckDB, from a metadata location or a REST catalog, with the row count reported before anything is scanned. - Encoded polylines are a first-class format, with a codec, an interactive preview, processing tools, layer export, and Python support. - New vector tools: merge layers, extract vertices, and generate points along lines and polygon boundaries, all running client-side. - An activity log for shared projects and collaboration sessions, so a project owner can see who opened and edited their work. - Plugins and processing tools are now translatable too, closing the last gap where a non-English interface still read half in English. Try it out - Launch GeoLibre Web: - GitHub: - Documentation: - Release notes: #GIS #Geospatial #OpenSource #MapLibre #GeoLibre
0:45

GeoLibre v2.7.0 is here! GeoLibre is a free and open-source, lightweight, cloud-native GIS platform for visualizing, exploring, and analyzing geospatial data. It runs everywhere you do, in the web browser, on the desktop, on mobile, and inside Jupyter notebooks, all while keeping your data local and private. This release is about building analysis instead of typing it: a visual Model Builder for processing workflows, a STAC browser that can add every asset type the app can draw, and a Chrome extension that opens the data on any web page in one click. 97 pull requests merged in 9 days, from 11 contributors besides me, 9 of whom sent their first contribution to GeoLibre in this cycle. Thank you all. What's new in v2.7.0 - Model Builder, a visual canvas for processing: drop tools as nodes, wire one tool's output into the next tool's input, and save the graph as a model that re-runs as a single job. The whole graph is validated before anything executes. - Your AI assistant can build one for you: describe a workflow in plain English, and it authors a validated model and opens it for review before it runs. Any model copies out as a runnable Python script. - Open data in GeoLibre, a Chrome extension now on the Chrome Web Store: it finds the dataset links and map services on the page you are viewing, including services inside embedded maps, and opens the ones you pick together on one map. - The STAC browser adds everything: PMTiles, GeoParquet, and Zarr with a variable picker join the COGs it already loaded, Icechunk repositories are read through their own manifest, and private Planetary Computer assets are signed for you. A static catalog can now be walked as a tree, not only searched. - Select features by drawing on the map: click, rectangle, polygon, freehand, and radius gestures, with Shift and Alt combining into the selection you already have. No more describing features in an expression to pick a handful of them. - Apache Iceberg tables load as vector layers, read in the browser through DuckDB, from a metadata location or a REST catalog, with the row count reported before anything is scanned. - Encoded polylines are a first-class format, with a codec, an interactive preview, processing tools, layer export, and Python support. - New vector tools: merge layers, extract vertices, and generate points along lines and polygon boundaries, all running client-side. - An activity log for shared projects and collaboration sessions, so a project owner can see who opened and edited their work. - Plugins and processing tools are now translatable too, closing the last gap where a non-English interface still read half in English. Try it out - Launch GeoLibre Web: - GitHub: - Documentation: - Release notes: #GIS #Geospatial #OpenSource #MapLibre #GeoLibre

Qiusheng Wu

14,091 Aufrufe • vor 9 Tagen

There are many things we have no power over right now in the world. The situation in Israel is terrifying and I wanted to post some places in the most need if you feel you want to contribute financially. All of the below links are at the link in my bio. -If you want to support the community stormed by terrorists, Kibbutz Nir Or, here is a link that is directly supporting that kibbutz: The direct link is in my bio. -The hospital in Ashkelon that was both hit by a direct rocket and is responsible for treating those in the region closest to the Gaza border, the direct link is in my bio. -The major aid organizations for Israel are -IsraAid: -Hatzalah: -New Israel Fund: -Israel Emergency Fund: These are all distributing resources. -If supporting mental health to a country on its knees is something close to your heart, Trauma4Good assists military and rescue service active members and veterans in getting diagnosed & receiving help for PTSD. -The Base supports lone soldiers, and lone b’not sheirut (young women carrying out national service) They provide practical and emotional support. -There is a civil command center that is organizing and mobilizing supplies throughout the country: meals and shelter to evacuees, equipment to soldiers, etc. Here is the link for a tax-deductible donation (all funds go directly to purchase equipment or pay suppliers) (Please specify that the donation is for the civil command center)
1:10

There are many things we have no power over right now in the world. The situation in Israel is terrifying and I wanted to post some places in the most need if you feel you want to contribute financially. All of the below links are at the link in my bio. -If you want to support the community stormed by terrorists, Kibbutz Nir Or, here is a link that is directly supporting that kibbutz: The direct link is in my bio. -The hospital in Ashkelon that was both hit by a direct rocket and is responsible for treating those in the region closest to the Gaza border, the direct link is in my bio. -The major aid organizations for Israel are -IsraAid: -Hatzalah: -New Israel Fund: -Israel Emergency Fund: These are all distributing resources. -If supporting mental health to a country on its knees is something close to your heart, Trauma4Good assists military and rescue service active members and veterans in getting diagnosed & receiving help for PTSD. -The Base supports lone soldiers, and lone b’not sheirut (young women carrying out national service) They provide practical and emotional support. -There is a civil command center that is organizing and mobilizing supplies throughout the country: meals and shelter to evacuees, equipment to soldiers, etc. Here is the link for a tax-deductible donation (all funds go directly to purchase equipment or pay suppliers) (Please specify that the donation is for the civil command center)

Mayim Bialik

819,517 Aufrufe • vor 2 Jahren

Hello Big Stronk Nation!!! This is to announce the Dad Stronk Store is open. There is a live link in my Bio. Also, copy and paste link will be at the bottom of this announcement Right now there is one t-shirt design available. It is separated by size in the catalog. So be sure to click on your size. This was necessary because the size is marked on the front of the shirt. Shirts are available in various colors, so be sure to click through and check for whatever color you want. Sales from this store directly benefit the growth of the channel. Unlike other platforms, I directly control this format. You guys are the greatest and I thank you for all your support as this channel grows. It is a dream of mine to be able to do this full time and provide you all with the kind of content you enjoy!! Thank you again!! And Stay Stronk!! #merch #fitness #strength #thankyou
3:46

Hello Big Stronk Nation!!! This is to announce the Dad Stronk Store is open. There is a live link in my Bio. Also, copy and paste link will be at the bottom of this announcement Right now there is one t-shirt design available. It is separated by size in the catalog. So be sure to click on your size. This was necessary because the size is marked on the front of the shirt. Shirts are available in various colors, so be sure to click through and check for whatever color you want. Sales from this store directly benefit the growth of the channel. Unlike other platforms, I directly control this format. You guys are the greatest and I thank you for all your support as this channel grows. It is a dream of mine to be able to do this full time and provide you all with the kind of content you enjoy!! Thank you again!! And Stay Stronk!! #merch #fitness #strength #thankyou

Dad Stronk

21,254 Aufrufe • vor 1 Monat

"I send a message to the whole world to stand by me and every Palestinian hostage" Imagine losing a leg and then getting imprisoned and then losing your eyesight. That’s what happened to Mahmoud Abu Foul at the age of 28. He was abducted from Kamal Adwan hospital on December 27th and endured 8 months of brutal torture, beatings and humiliation. Mahmoud like many other returned hostages isn’t getting the proper medical care and can’t get a prosthetic leg as it is not available in Gaza. Borders need to open for doctors and field hospitals to provide adequate treatment. Till then, The Sameer Project are providing medical care through our Sawarha medical point and medical treatment camp to Mahmoud and others like him. Meanwhile, we gave Mahmoud dressings and medications worth $68 and cash aid. We are looking to support the released hostages with medical and mental health care. Please support and donate to the medical campaign through our Chuffed link: Other ways to donate include: (Paypal option, please make sure to add a message saying "Medical") (Venmo option, please make sure to add a message saying "Medical")
1:05

"I send a message to the whole world to stand by me and every Palestinian hostage" Imagine losing a leg and then getting imprisoned and then losing your eyesight. That’s what happened to Mahmoud Abu Foul at the age of 28. He was abducted from Kamal Adwan hospital on December 27th and endured 8 months of brutal torture, beatings and humiliation. Mahmoud like many other returned hostages isn’t getting the proper medical care and can’t get a prosthetic leg as it is not available in Gaza. Borders need to open for doctors and field hospitals to provide adequate treatment. Till then, The Sameer Project are providing medical care through our Sawarha medical point and medical treatment camp to Mahmoud and others like him. Meanwhile, we gave Mahmoud dressings and medications worth $68 and cash aid. We are looking to support the released hostages with medical and mental health care. Please support and donate to the medical campaign through our Chuffed link: Other ways to donate include: (Paypal option, please make sure to add a message saying "Medical") (Venmo option, please make sure to add a message saying "Medical")

The Sameer Project

1,464,218 Aufrufe • vor 10 Monaten

I’m thrilled to present something Marián Marčiš and I have been working on for the past few weeks. To my knowledge, this is something that has never been done before, and this is our first model that includes underground parts. Behold a photogrammetric 3D model of Zona X! Zona X (also known as Lanlakuyoc or Lancacuyo) is a mysterious site about a mile North-East of Sacsayhuaman. It’s a big limestone outcrop intersected by a network of tunnels and narrow passageways, some open to the sky, and others going deep underground. It also features several right-angled cuts in the bedrock ("hanan pacha" style) whose function remains unknown to this day, as well as a section of a megalithic wall. It is also said that this site once had a chincana entrance, possibly connecting to Sacsayhuaman, that has now been sealed off. I have an idea of which passage could lead to an entrance, but it remains to be confirmed. It's a true stone labyrinth in which it's easy to get lost, which is why I wanted to create a 3D map of it. I wanted to get a better idea of how these passages are oriented in relation to each other and where they could lead. It took several visits to the site to map all the passages I could crawl through. Some of these passageways become too narrow to squeeze through for an adult of average build, but seem to extend much deeper. It took Marián a LOT of work (and a lot of processing power) to combine and align the thousands of photos from a drone and extracted from a 360° ground video needed to create the 55 millions triangles that make up this model. I’m not sure how he did it but he pulled it off. He really deserves his title of photogrammetry wizard. Please make sure to give him the follow he deserves Marián Marčiš. The video doesn't show all the passages I filmed for the creation of the model. We decided to only show the main ones, and some of the most prominent stone carvings in order to keep the video relatively short. The site has many more nooks and crannies not shown in the video that are just begging to be explored. I hope we can complete this model in the future. Until then, enjoy this one!
4:26

I’m thrilled to present something Marián Marčiš and I have been working on for the past few weeks. To my knowledge, this is something that has never been done before, and this is our first model that includes underground parts. Behold a photogrammetric 3D model of Zona X! Zona X (also known as Lanlakuyoc or Lancacuyo) is a mysterious site about a mile North-East of Sacsayhuaman. It’s a big limestone outcrop intersected by a network of tunnels and narrow passageways, some open to the sky, and others going deep underground. It also features several right-angled cuts in the bedrock ("hanan pacha" style) whose function remains unknown to this day, as well as a section of a megalithic wall. It is also said that this site once had a chincana entrance, possibly connecting to Sacsayhuaman, that has now been sealed off. I have an idea of which passage could lead to an entrance, but it remains to be confirmed. It's a true stone labyrinth in which it's easy to get lost, which is why I wanted to create a 3D map of it. I wanted to get a better idea of how these passages are oriented in relation to each other and where they could lead. It took several visits to the site to map all the passages I could crawl through. Some of these passageways become too narrow to squeeze through for an adult of average build, but seem to extend much deeper. It took Marián a LOT of work (and a lot of processing power) to combine and align the thousands of photos from a drone and extracted from a 360° ground video needed to create the 55 millions triangles that make up this model. I’m not sure how he did it but he pulled it off. He really deserves his title of photogrammetry wizard. Please make sure to give him the follow he deserves Marián Marčiš. The video doesn't show all the passages I filmed for the creation of the model. We decided to only show the main ones, and some of the most prominent stone carvings in order to keep the video relatively short. The site has many more nooks and crannies not shown in the video that are just begging to be explored. I hope we can complete this model in the future. Until then, enjoy this one!

Weird Old World

12,059 Aufrufe • vor 1 Jahr

New framework: Kick down your robot, it will get back up every time 🥋 Chinese startup RoboParty is a Beijing startup founded April 2025 by Huang Yi, originally shipping ROBOTO ORIGIN, the world's first full-stack open-source bipedal humanoid. They released UFO: Unsupervised Reinforcement Learning Framework for Humanoid Control. DEFINITIONS -> what differs is where the learning signal comes from: - SUPERVISED: humans supply the right answers (labels), the model imitates them. - UNSUPERVISED: no answer key, the model finds structure in raw data on its own. - REINFORCEMENT LEARNING: no answer key either, the model tries things and a reward scores each attempt. → UNSUPERVISED RL: trial and error where the agent invents its own rewards, instead of engineers hand-writing one per task. REPRESENTATION LEARNING: compress raw states into a useful internal map. TEMPORAL DISTANCE: distance on that map is "how many steps from A to B." CONTRASTIVE: trained by pulling together what's close in time, pushing apart what isn't. -> CONTRASTIVE TEMPORAL-DISTANCE REPRESENTATION LEARNING: the model builds an internal map of body states where distance means how many steps it takes to get from one to another. It is trained by contrast: states that occur close together in a movement get pulled together in the map, randomly paired states get pushed apart. UFO is an open-source training framework that teaches humanoid robots skills, like getting up, walking, goal-reaching, teleoperation, without reference motions -> no motion-capture or human-video demonstrations to imitate. Its core is TeCH, a contrastive temporal-distance representation-learning algorithm: the robot explores, builds pseudo-goals by temporal rolling, and learns goal-conditioned policies from a single unified progress reward. One framework trains five different robots (Unitree G1/H1, RoboParty RP0/RP1, AgiBot X2) with automatic config conversion in ~2–3 hours per robot! The real novelty here "no demonstrations at all". No data-collection arms race,the dominant humanoid-locomotion recipe is tracking: imitate mocap/retargeted-human reference trajectories. The robot self-generates goals from its own exploration and learns from a progress reward, needing zero reference motion data. Everybody else is fighting over data acquisition, while this team just teleports out of the race entirely (inb4 "competition is for losers 💀 ). This strategy reminds me of the DeepSeek playbook applied to robots: open-source the whole stack to become the global default and commoditize everyone else. RoboParty is giving away hardware and now control software (UFO) to be the Android of humanoids. Yet another reason for the US to ban Chinese open models perhaps 🥶 ? What I also really like about this approach is the cross-embodiment infrastructure, one framework trains Unitree G1/H1, RoboParty RP0/RP1, and AgiBot X2 with automatic configuration conversion. Just like Physical Intelligence, RoboParty seems to place itself as a neutral hardware agnostic middle man. Also woth mentioning: their ability ot perform stable skill injection, e.g. adding a cartwheel without forgetting how to walk. A common failure of RL humanoid policies is that teaching a new agile skill destabilizes the existing ones (catastrophic forgetting). UFO claims you can inject rare motions (cartwheel) without collapsing learned behavior. If it holds, that's a significant incremental/continual skill-learning! But again, I have to underline it: no arXiv, no external validation, no success-rate numbers. -> robotics badely needs an independent unbiased evaluator imho. Still, look at that cool demo: robot is getting kicked and pushed around (serious disturbance) during teleoperation (controlled the person at the back wearing the VR headset), and still managed to always get back up. This is some serious demonstration of stability and robustness!
0:49

New framework: Kick down your robot, it will get back up every time 🥋 Chinese startup RoboParty is a Beijing startup founded April 2025 by Huang Yi, originally shipping ROBOTO ORIGIN, the world's first full-stack open-source bipedal humanoid. They released UFO: Unsupervised Reinforcement Learning Framework for Humanoid Control. DEFINITIONS -> what differs is where the learning signal comes from: - SUPERVISED: humans supply the right answers (labels), the model imitates them. - UNSUPERVISED: no answer key, the model finds structure in raw data on its own. - REINFORCEMENT LEARNING: no answer key either, the model tries things and a reward scores each attempt. → UNSUPERVISED RL: trial and error where the agent invents its own rewards, instead of engineers hand-writing one per task. REPRESENTATION LEARNING: compress raw states into a useful internal map. TEMPORAL DISTANCE: distance on that map is "how many steps from A to B." CONTRASTIVE: trained by pulling together what's close in time, pushing apart what isn't. -> CONTRASTIVE TEMPORAL-DISTANCE REPRESENTATION LEARNING: the model builds an internal map of body states where distance means how many steps it takes to get from one to another. It is trained by contrast: states that occur close together in a movement get pulled together in the map, randomly paired states get pushed apart. UFO is an open-source training framework that teaches humanoid robots skills, like getting up, walking, goal-reaching, teleoperation, without reference motions -> no motion-capture or human-video demonstrations to imitate. Its core is TeCH, a contrastive temporal-distance representation-learning algorithm: the robot explores, builds pseudo-goals by temporal rolling, and learns goal-conditioned policies from a single unified progress reward. One framework trains five different robots (Unitree G1/H1, RoboParty RP0/RP1, AgiBot X2) with automatic config conversion in ~2–3 hours per robot! The real novelty here "no demonstrations at all". No data-collection arms race,the dominant humanoid-locomotion recipe is tracking: imitate mocap/retargeted-human reference trajectories. The robot self-generates goals from its own exploration and learns from a progress reward, needing zero reference motion data. Everybody else is fighting over data acquisition, while this team just teleports out of the race entirely (inb4 "competition is for losers 💀 ). This strategy reminds me of the DeepSeek playbook applied to robots: open-source the whole stack to become the global default and commoditize everyone else. RoboParty is giving away hardware and now control software (UFO) to be the Android of humanoids. Yet another reason for the US to ban Chinese open models perhaps 🥶 ? What I also really like about this approach is the cross-embodiment infrastructure, one framework trains Unitree G1/H1, RoboParty RP0/RP1, and AgiBot X2 with automatic configuration conversion. Just like Physical Intelligence, RoboParty seems to place itself as a neutral hardware agnostic middle man. Also woth mentioning: their ability ot perform stable skill injection, e.g. adding a cartwheel without forgetting how to walk. A common failure of RL humanoid policies is that teaching a new agile skill destabilizes the existing ones (catastrophic forgetting). UFO claims you can inject rare motions (cartwheel) without collapsing learned behavior. If it holds, that's a significant incremental/continual skill-learning! But again, I have to underline it: no arXiv, no external validation, no success-rate numbers. -> robotics badely needs an independent unbiased evaluator imho. Still, look at that cool demo: robot is getting kicked and pushed around (serious disturbance) during teleoperation (controlled the person at the back wearing the VR headset), and still managed to always get back up. This is some serious demonstration of stability and robustness!

Léo

35,855 Aufrufe • vor 1 Monat

Day trading used to feel like walking into a casino blindfolded every single morning. I’d sit there from 9:30 AM EST with five screens open, heart rate already elevated, chasing every little spike on the 1-minute chart, getting chopped up on fakeouts, revenge trading after a loss, and by 11 AM I was either up a little or down a lot — but always emotionally wrecked. My win rate hovered around 45-50%, commissions ate half my profits, and I constantly questioned whether I even had an edge or was just lucky on green days. About two months ago I integrated Intellectia’s real-time Day Trading Signals into my routine. Now I start the day by opening the app while the market is still pre-open. It gives me a prioritized list of high-probability setups — clean entries with stop levels, targets, confidence scores, and short reasoning (e.g., “volume breakout + sector rotation + RSI divergence”). I no longer scan 200 tickers; I focus on 3-5 signals that pass my own filter. Last week was a perfect example: Tuesday it flagged a clean long on a mid-cap tech name at 9:32 AM; I took it, trailed the stop, exited at +2.1% by 10:15 AM. Thursday had a short signal on an overextended small-cap — covered +1.8% in 40 minutes. Those two trades alone covered my weekly coffee budget and then some. The signals aren’t magic (nothing is), but they’re fast, data-driven, and remove 80% of the “where do I even look?” paralysis. My average hold time shortened, my risk per trade dropped, and I’m actually ending days in the green more consistently instead of bleeding out slowly. If you day trade and still feel like you’re always reacting instead of leading, give this a real week of testing — the clarity it brings is honestly addictive:
0:22

Day trading used to feel like walking into a casino blindfolded every single morning. I’d sit there from 9:30 AM EST with five screens open, heart rate already elevated, chasing every little spike on the 1-minute chart, getting chopped up on fakeouts, revenge trading after a loss, and by 11 AM I was either up a little or down a lot — but always emotionally wrecked. My win rate hovered around 45-50%, commissions ate half my profits, and I constantly questioned whether I even had an edge or was just lucky on green days. About two months ago I integrated Intellectia’s real-time Day Trading Signals into my routine. Now I start the day by opening the app while the market is still pre-open. It gives me a prioritized list of high-probability setups — clean entries with stop levels, targets, confidence scores, and short reasoning (e.g., “volume breakout + sector rotation + RSI divergence”). I no longer scan 200 tickers; I focus on 3-5 signals that pass my own filter. Last week was a perfect example: Tuesday it flagged a clean long on a mid-cap tech name at 9:32 AM; I took it, trailed the stop, exited at +2.1% by 10:15 AM. Thursday had a short signal on an overextended small-cap — covered +1.8% in 40 minutes. Those two trades alone covered my weekly coffee budget and then some. The signals aren’t magic (nothing is), but they’re fast, data-driven, and remove 80% of the “where do I even look?” paralysis. My average hold time shortened, my risk per trade dropped, and I’m actually ending days in the green more consistently instead of bleeding out slowly. If you day trade and still feel like you’re always reacting instead of leading, give this a real week of testing — the clarity it brings is honestly addictive:

Marry Evan

10,081 Aufrufe • vor 5 Monaten

On the newest episode of "This Week on the Web", Richard Willett and I discuss the Kabbalah and Jewish Mysticism, its influence on Sabbatai Zevi and Sabbateanism, and eventually the Sabbatean-Frankists of the French Revolution, eventually the Jesuits, and how it's helped to create the Transhumanist & Technocrat movements of today. The Chabad-Lubavitch are heavily guided by the Kabbalah, and this group has a close relationship with most major world leaders including Donald Trump, Benjamin Netanyahu, Vladimir Putin, and various leaders throughout Europe. This Week on the Web : Ep7 : Sabbateanism and the Kabbalah with Richard Willett (Part 1) is streaming now exclusively on Ickonic (Link to the series available in my bio) You can start your journey with Ickonic today for just $2 for your first month, and helps to support future research and content, while getting access to a large back-catalogue of content including: New Episodes Weekly Daily Feature-Length Documentaries Exclusive Original Series
9:00

On the newest episode of "This Week on the Web", Richard Willett and I discuss the Kabbalah and Jewish Mysticism, its influence on Sabbatai Zevi and Sabbateanism, and eventually the Sabbatean-Frankists of the French Revolution, eventually the Jesuits, and how it's helped to create the Transhumanist & Technocrat movements of today. The Chabad-Lubavitch are heavily guided by the Kabbalah, and this group has a close relationship with most major world leaders including Donald Trump, Benjamin Netanyahu, Vladimir Putin, and various leaders throughout Europe. This Week on the Web : Ep7 : Sabbateanism and the Kabbalah with Richard Willett (Part 1) is streaming now exclusively on Ickonic (Link to the series available in my bio) You can start your journey with Ickonic today for just $2 for your first month, and helps to support future research and content, while getting access to a large back-catalogue of content including: New Episodes Weekly Daily Feature-Length Documentaries Exclusive Original Series

7SEES

27,769 Aufrufe • vor 1 Jahr