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Update 1.1.7 - Group animations implemented (see video for an example) - Added models: Jenny - Yi Xi, Team Skull and 2B, Allie - Sadako, Ellie - Haydee and Horror Pyramid, Kobold - DeathClaw #lovecraft #fapcraft #jennymod #sexmod #minecraftnsfw

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LoveCraftMod

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18,507 просмотров • 10 дней назад •via X (Twitter)

NSFW#lovecraft#fapcraft#jennymod#sexmod#minecraftnsfw
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The CS2 update we have been waiting for is finally here. Valve has created a Beta branch for animgraph2 for third person animations. This is NOT an April fools joke. While everyone was watching the launch of Artemis II, Valve suddenly released what they've been working on for the past couple of years. What this means is that the entire animation system for third person models has been completely redone. No longer does it use the unoptimized Half-Life: Alyx system. This significantly reduces packet size. You can now tell when someone is counter-strafing, and properly predict their movements based on visual feedback. Another massive change here is that the player's view now is accurate to the player model, meaning that we have a variable player height of +-4 units. You'll immediately notice that the player seems shorter. This completely changes many many angles, as well as many utility lineups, particularly when standing on slopes. Notice in my video example how you can no longer see over the Dust2 A site boxes from A ramp. The change is currently in Beta, so it's all subject to change. I will be testing it out extensively and making a video about my thoughts. First impressions: I am VERY excited about this, more so than the Artemis II rocket taking humans back to the moon for the first time in forever.
0:20

The CS2 update we have been waiting for is finally here. Valve has created a Beta branch for animgraph2 for third person animations. This is NOT an April fools joke. While everyone was watching the launch of Artemis II, Valve suddenly released what they've been working on for the past couple of years. What this means is that the entire animation system for third person models has been completely redone. No longer does it use the unoptimized Half-Life: Alyx system. This significantly reduces packet size. You can now tell when someone is counter-strafing, and properly predict their movements based on visual feedback. Another massive change here is that the player's view now is accurate to the player model, meaning that we have a variable player height of +-4 units. You'll immediately notice that the player seems shorter. This completely changes many many angles, as well as many utility lineups, particularly when standing on slopes. Notice in my video example how you can no longer see over the Dust2 A site boxes from A ramp. The change is currently in Beta, so it's all subject to change. I will be testing it out extensively and making a video about my thoughts. First impressions: I am VERY excited about this, more so than the Artemis II rocket taking humans back to the moon for the first time in forever.

WarOwl

451,056 просмотров • 5 месяцев назад

MASSIVE Hermes Agent update over the last few days Totally changes the way I use Hermes Here's 6 new features you need to start using immediately (video demoing them below): 1. Mixture of agents: send your prompt to a team of different models. The team sends back all of their responses to an orchestrator model who synthesizes a final answer. Gives much better results than just sending a prompt to 1 model 2. /learn: use the new built in /learn skill to have Hermes automatically create new skills. You can either give a prompt after /learn or put in a URL. I like pasting in URLs of tweets with helpful tips after /learn and Hermes will automatically turn it into a skill 3. /journey: See every skill and memory Hermes has created for you on a really nice timeline/chart. Great for seeing how your agent has learned and improved over time 4. Self improvement cost savings: Hermes now uses cheaper models to do it's self improvement including memory creation and skill creation. These types of activities happen in the background of almost every prompt, so this results in TONS of cost savings over time 5. Vibe coding improvements: Hermes desktop is now a full vibe coding tool. You can see diffs, make commits, and even open up PRs directly from the desktop interface. Makes it WAYYY nicer to vibe code with 6. Fable 5 is now built in. Fable 5. Obviously Fable is incredibly expensive, so only use this new profile for incredibly complex tasks. Excellent updates that have significantly improved the experience. Video demoing all the updates below!
11:56

MASSIVE Hermes Agent update over the last few days Totally changes the way I use Hermes Here's 6 new features you need to start using immediately (video demoing them below): 1. Mixture of agents: send your prompt to a team of different models. The team sends back all of their responses to an orchestrator model who synthesizes a final answer. Gives much better results than just sending a prompt to 1 model 2. /learn: use the new built in /learn skill to have Hermes automatically create new skills. You can either give a prompt after /learn or put in a URL. I like pasting in URLs of tweets with helpful tips after /learn and Hermes will automatically turn it into a skill 3. /journey: See every skill and memory Hermes has created for you on a really nice timeline/chart. Great for seeing how your agent has learned and improved over time 4. Self improvement cost savings: Hermes now uses cheaper models to do it's self improvement including memory creation and skill creation. These types of activities happen in the background of almost every prompt, so this results in TONS of cost savings over time 5. Vibe coding improvements: Hermes desktop is now a full vibe coding tool. You can see diffs, make commits, and even open up PRs directly from the desktop interface. Makes it WAYYY nicer to vibe code with 6. Fable 5 is now built in. Fable 5. Obviously Fable is incredibly expensive, so only use this new profile for incredibly complex tasks. Excellent updates that have significantly improved the experience. Video demoing all the updates below!

Alex Finn

143,673 просмотров • 2 месяцев назад

Today, Stern Pinball, Inc., revealed Metallica Remastered – a technologically advanced version of one of Stern Pinball’s greatest hits. Metallica Pinball was originally released in 2013 and is one of the most successful and beloved pinball games ever. Metallica Remastered has elevated the game to the modern era with gameplay, electronics, and presentation improvements. Metallica Remastered pinball games are available now in Premium and Limited Edition (LE) models, along with a full line of accessories available at launch. Metallica Remastered is updated with a full-color LCD display featuring all-new animations and live concert video footage. Stern’s modern Spike 2 electronics will power the gameplay experience. Fans will enjoy expanded gameplay and improved presentation with 22 songs (8 more than the original) and expanded gameplay rules. Cabinet improvements include an Expression Lighting system and 2 all-new art packages by Metallica artist Rhys Cooper. Players will experience the same great flow from the original Metallica playfield layout with geometry and mechanical improvements, new versions of gameplay toys, updated mechanical devices, and new UV lighting effects. Since forming in 1981, Metallica has become one of the most influential and popular bands in musical history. Through their groundbreaking music, electrifying live performances, and a cultural impact that has extended beyond music, Metallica has garnered a massive global following of dedicated fans. Their critical acclaim and influence match the Hall of Fame band’s commercial success in the world of rock music and pinball. Stern Pinball has ensured that extra care and attention to detail has gone into every facet of Metallica Remastered while respecting the timeless classic game created by pinball legends John Borg and Lyman F. Sheats, Jr. The design team, led again by John Borg and software engineer Raymond Davidson, has created a modern version of the original masterpiece. John Borg’s classic playfield architecture has been enhanced with three all-new sculptures: Sparky, the Hammer, new RGB-illuminated Skulls, and a new Metallica logo spell-out on the back panel. Dramatic UV lighting effects have been implemented throughout the playfield and on Sparky, and the game includes numerous quality and durability refinements. The iconic Lyman Sheats rule set has been carefully enhanced to add two new game modes based on Metallica’s two most recent albums, last year’s Grammy-winning 72 Seasons and 2016’s Hardwired…to Self-Destruct, as well as a new “Blackened” Wizard Mode. The Metallica Remastered software also includes numerous refinements throughout and an enhanced illuminated insert array to support the new game rules while preserving the classic gameplay feel from the original. Metallica Remastered features an entirely new suite of presentation elements, including all video content and animations, new sound effects, and over 1,000 new speech calls that include callouts by the band. Eight new Metallica songs have been seamlessly integrated into the game and include new supporting animations, movies, and HD-quality live concert footage selected by the band. The Expression Lighting system for the cabinet and speakers comes standard with the Limited Edition version and is available as an accessory upgrade for Premium models.
4:25

Today, Stern Pinball, Inc., revealed Metallica Remastered – a technologically advanced version of one of Stern Pinball’s greatest hits. Metallica Pinball was originally released in 2013 and is one of the most successful and beloved pinball games ever. Metallica Remastered has elevated the game to the modern era with gameplay, electronics, and presentation improvements. Metallica Remastered pinball games are available now in Premium and Limited Edition (LE) models, along with a full line of accessories available at launch. Metallica Remastered is updated with a full-color LCD display featuring all-new animations and live concert video footage. Stern’s modern Spike 2 electronics will power the gameplay experience. Fans will enjoy expanded gameplay and improved presentation with 22 songs (8 more than the original) and expanded gameplay rules. Cabinet improvements include an Expression Lighting system and 2 all-new art packages by Metallica artist Rhys Cooper. Players will experience the same great flow from the original Metallica playfield layout with geometry and mechanical improvements, new versions of gameplay toys, updated mechanical devices, and new UV lighting effects. Since forming in 1981, Metallica has become one of the most influential and popular bands in musical history. Through their groundbreaking music, electrifying live performances, and a cultural impact that has extended beyond music, Metallica has garnered a massive global following of dedicated fans. Their critical acclaim and influence match the Hall of Fame band’s commercial success in the world of rock music and pinball. Stern Pinball has ensured that extra care and attention to detail has gone into every facet of Metallica Remastered while respecting the timeless classic game created by pinball legends John Borg and Lyman F. Sheats, Jr. The design team, led again by John Borg and software engineer Raymond Davidson, has created a modern version of the original masterpiece. John Borg’s classic playfield architecture has been enhanced with three all-new sculptures: Sparky, the Hammer, new RGB-illuminated Skulls, and a new Metallica logo spell-out on the back panel. Dramatic UV lighting effects have been implemented throughout the playfield and on Sparky, and the game includes numerous quality and durability refinements. The iconic Lyman Sheats rule set has been carefully enhanced to add two new game modes based on Metallica’s two most recent albums, last year’s Grammy-winning 72 Seasons and 2016’s Hardwired…to Self-Destruct, as well as a new “Blackened” Wizard Mode. The Metallica Remastered software also includes numerous refinements throughout and an enhanced illuminated insert array to support the new game rules while preserving the classic gameplay feel from the original. Metallica Remastered features an entirely new suite of presentation elements, including all video content and animations, new sound effects, and over 1,000 new speech calls that include callouts by the band. Eight new Metallica songs have been seamlessly integrated into the game and include new supporting animations, movies, and HD-quality live concert footage selected by the band. The Expression Lighting system for the cabinet and speakers comes standard with the Limited Edition version and is available as an accessory upgrade for Premium models.

Stern Pinball

50,447 просмотров • 1 год назад

Big moment for Postgres! AI coding tools have been surprisingly bad at writing Postgres code. Not because the models are dumb, but because of how they learned SQL in the first place. LLMs are trained on the internet, which is full of outdated Stack Overflow answers and quick-fix tutorials. So when you ask an AI to generate a schema, it gives you something that technically runs but misses decades of Postgres evolution, like: - No GENERATED ALWAYS AS IDENTITY (added in PG10) - No expression or partial indexes - No NULLS NOT DISTINCT (PG15) - Missing CHECK constraints and proper foreign keys - Generic naming that tells you nothing But this is actually a solvable problem. You can teach AI tools to write better Postgres by giving them access to the right documentation at inference time. This exact solution is actually implemented in the newly released pg-aiguide by Tiger Data - Creators of TimescaleDB, which is an open-source MCP server that provides coding tools access to 35 years of Postgres expertise. In a gist, the MCP server enables: - Semantic search over the official PostgreSQL manual (version-aware, so it knows PG14 vs PG17 differences) - Curated skills with opinionated best practices for schema design, indexing, and constraints. I ran an experiment with Claude Code to see how well this works, and worked with the team to put this together. Prompt: "Generate a schema for an e-commerce site twice, one with the MCP server disabled, one with it enabled. Finally, run an assessment to compare the generated schemas." The run with the MCP server led to: - 420% more indexes (including partial and expression indexes) - 235% more constraints - 60% more tables (proper normalization) - 11 automation functions and triggers - Modern PG17 patterns throughout The MCP-assisted schema had proper data integrity, performance optimizations baked in, and followed naming conventions that actually make sense in production. pg-aiguide works with Claude Code, Cursor, VS Code, and any MCP-compatible tool. It's free and fully open source. I have shared the repo in the replies!
0:25

Big moment for Postgres! AI coding tools have been surprisingly bad at writing Postgres code. Not because the models are dumb, but because of how they learned SQL in the first place. LLMs are trained on the internet, which is full of outdated Stack Overflow answers and quick-fix tutorials. So when you ask an AI to generate a schema, it gives you something that technically runs but misses decades of Postgres evolution, like: - No GENERATED ALWAYS AS IDENTITY (added in PG10) - No expression or partial indexes - No NULLS NOT DISTINCT (PG15) - Missing CHECK constraints and proper foreign keys - Generic naming that tells you nothing But this is actually a solvable problem. You can teach AI tools to write better Postgres by giving them access to the right documentation at inference time. This exact solution is actually implemented in the newly released pg-aiguide by Tiger Data - Creators of TimescaleDB, which is an open-source MCP server that provides coding tools access to 35 years of Postgres expertise. In a gist, the MCP server enables: - Semantic search over the official PostgreSQL manual (version-aware, so it knows PG14 vs PG17 differences) - Curated skills with opinionated best practices for schema design, indexing, and constraints. I ran an experiment with Claude Code to see how well this works, and worked with the team to put this together. Prompt: "Generate a schema for an e-commerce site twice, one with the MCP server disabled, one with it enabled. Finally, run an assessment to compare the generated schemas." The run with the MCP server led to: - 420% more indexes (including partial and expression indexes) - 235% more constraints - 60% more tables (proper normalization) - 11 automation functions and triggers - Modern PG17 patterns throughout The MCP-assisted schema had proper data integrity, performance optimizations baked in, and followed naming conventions that actually make sense in production. pg-aiguide works with Claude Code, Cursor, VS Code, and any MCP-compatible tool. It's free and fully open source. I have shared the repo in the replies!

Avi Chawla

187,076 просмотров • 8 месяцев назад

The teams shipping AI agents right now are bleeding money on the dumbest possible expense: teaching a 400B-parameter model to read a file name. Every time an AI agent needs to "see" something today, it routes an image through a frontier model. OCR, object detection, checking if a button exists on screen. You're paying GPT-4o or Claude pricing for tasks that require perception, not reasoning. One agent workflow processing a few thousand screenshots per day can burn through more on vision calls than on the actual thinking. Perceptron's Isaac is 2B parameters. Built by the team that created Meta's Chameleon multimodal models. On perceptive benchmarks, it matches or beats models 50x its size. The VQA, OCR, and object detection scores are competitive with models running on infrastructure that costs orders of magnitude more. The MCP wrapper is the distribution play. One install command and every Claude Code agent can offload vision tasks to a model that runs on a single consumer GPU. The agent keeps its reasoning in the frontier model and routes perception to a specialist. That split is how you get vision-heavy agent workflows from "technically possible but expensive" to "cheap enough to run on everything." This is the same pattern that won in every other compute-intensive stack. General-purpose handles orchestration. Specialists handle the heavy lifting. Graphics went through it. Audio went through it. Video encoding went through it. Vision in AI agents is next. The teams building agents that see 10,000 images a day will care about this before anyone else does.
0:38

The teams shipping AI agents right now are bleeding money on the dumbest possible expense: teaching a 400B-parameter model to read a file name. Every time an AI agent needs to "see" something today, it routes an image through a frontier model. OCR, object detection, checking if a button exists on screen. You're paying GPT-4o or Claude pricing for tasks that require perception, not reasoning. One agent workflow processing a few thousand screenshots per day can burn through more on vision calls than on the actual thinking. Perceptron's Isaac is 2B parameters. Built by the team that created Meta's Chameleon multimodal models. On perceptive benchmarks, it matches or beats models 50x its size. The VQA, OCR, and object detection scores are competitive with models running on infrastructure that costs orders of magnitude more. The MCP wrapper is the distribution play. One install command and every Claude Code agent can offload vision tasks to a model that runs on a single consumer GPU. The agent keeps its reasoning in the frontier model and routes perception to a specialist. That split is how you get vision-heavy agent workflows from "technically possible but expensive" to "cheap enough to run on everything." This is the same pattern that won in every other compute-intensive stack. General-purpose handles orchestration. Specialists handle the heavy lifting. Graphics went through it. Audio went through it. Video encoding went through it. Vision in AI agents is next. The teams building agents that see 10,000 images a day will care about this before anyone else does.

Aakash Gupta

55,978 просмотров • 5 месяцев назад

After 8+ years on the Tesla Autopilot team and 3 years at Intel, I started Apex Compute to design a new architecture for efficient AI inference. For the past 9 months, we’ve been building our custom inference accelerator. Today we’re releasing Unified Engine v1. Last June we raised our seed round with Maxitech , DeepFin Research, Soma Capital and an incredible group of angel investors. In less than 9 months, we completed our RTL architecture and brought our first pre-silicon prototype to life on FPGA. Our architecture combines systolic array and vector processing in a single compute engine with multiple architectural optimizations, achieving very high FLOPs utilization. A single engine is super lean and it uses less than 90K LUTs and 1 MB Block RAM. It may also be one of the smallest logic-footprint compute engines developed so far. Our Unified Engine v1 supports: -matrix-matrix multiplication (~95% FLOPs utilization) -softmax (~90% FLOPs utilization) -broadcast and element-wise operations -RMSNorm / LayerNorm -block quantization/dequantization (fp4, int4) -multi-engine synchronization and many other operations. We even implemented memory-efficient attention similar to FlashAttention, reaching ~90% FLOP utilization. Full benchmarks and the software stack are available on our GitHub: We have basic compiler written in Python and it supports PyTorch tensors directly to easily test and transfer tensors between the accelerator and host using bf16, fp4 and int4 formats. Our FPGA prototype can already run LLM inference and outperform NVIDIA Jetson Orin Nano, even on a mid-tier FPGA setup (6.4x lower memory bandwidth, 18% slower clock speed at 4.5 Watts). Check the side-by-side comparison video below. Our GitHub includes low-level operator implementations, examples for tiled matrix multiplication, operation chaining, tensor parallelism, attention kernel and a full Gemma 3 1B model implementation. Many more models(Vision Transformers and VLA) are coming soon. Our accelerator IP is AXI-ready for deployment on any AMD(Xilinx) FPGA platform today. Even better, our two-engine prototype runs on an entry-level AMD(Xilinx) FPGA as a PCIe accelerator card. You can purchase it here for $50 to experiment our pre-silicon prototype on your desktop PC or Raspberry Pi 5. We will be releasing hardware bitstream updates as the architecture gets new features. More to come soon! We are expanding our team and looking for compiler engineers and floating-point hardware design engineers. If you're interested, please send me a DM.
1:17

After 8+ years on the Tesla Autopilot team and 3 years at Intel, I started Apex Compute to design a new architecture for efficient AI inference. For the past 9 months, we’ve been building our custom inference accelerator. Today we’re releasing Unified Engine v1. Last June we raised our seed round with Maxitech , DeepFin Research, Soma Capital and an incredible group of angel investors. In less than 9 months, we completed our RTL architecture and brought our first pre-silicon prototype to life on FPGA. Our architecture combines systolic array and vector processing in a single compute engine with multiple architectural optimizations, achieving very high FLOPs utilization. A single engine is super lean and it uses less than 90K LUTs and 1 MB Block RAM. It may also be one of the smallest logic-footprint compute engines developed so far. Our Unified Engine v1 supports: -matrix-matrix multiplication (~95% FLOPs utilization) -softmax (~90% FLOPs utilization) -broadcast and element-wise operations -RMSNorm / LayerNorm -block quantization/dequantization (fp4, int4) -multi-engine synchronization and many other operations. We even implemented memory-efficient attention similar to FlashAttention, reaching ~90% FLOP utilization. Full benchmarks and the software stack are available on our GitHub: We have basic compiler written in Python and it supports PyTorch tensors directly to easily test and transfer tensors between the accelerator and host using bf16, fp4 and int4 formats. Our FPGA prototype can already run LLM inference and outperform NVIDIA Jetson Orin Nano, even on a mid-tier FPGA setup (6.4x lower memory bandwidth, 18% slower clock speed at 4.5 Watts). Check the side-by-side comparison video below. Our GitHub includes low-level operator implementations, examples for tiled matrix multiplication, operation chaining, tensor parallelism, attention kernel and a full Gemma 3 1B model implementation. Many more models(Vision Transformers and VLA) are coming soon. Our accelerator IP is AXI-ready for deployment on any AMD(Xilinx) FPGA platform today. Even better, our two-engine prototype runs on an entry-level AMD(Xilinx) FPGA as a PCIe accelerator card. You can purchase it here for $50 to experiment our pre-silicon prototype on your desktop PC or Raspberry Pi 5. We will be releasing hardware bitstream updates as the architecture gets new features. More to come soon! We are expanding our team and looking for compiler engineers and floating-point hardware design engineers. If you're interested, please send me a DM.

Hasan

37,748 просмотров • 6 месяцев назад

Some of us have been working and thinking about AI, started before most in AI today were born. To them they absolutely believe they have a lock of the dystopian fear. The saw too many Hollywood movies. I first say the VHS in the 1980s and the opening dialog never left me. The value of experience is it allows you to understand the way of things before the inexperienced can put their shoes on. Another example to learn in this video is Japan was the center of the universe. There was largess and I dare say arrogance. They absolutely were convince they would control AI via the government. It did not work out that way, like it ALWAYS does not work out that way. Each generation has to learn the hard lessons that should be obvious. A renegade group in Canada no one cared about to the thread all others dropped and you have AI today because of it. They were the last group to have been seen by the industry to have produced anything. Today the same playbook is being implemented by the largest AI companies full of zero experience and begging for big daddy government to save us from their scary monster. We turn the lights and show it is just some shadows. The entry prediction is accurate already, yet the world did not end. Watch this and see how really immature so many leaders are acting. Who will save us, millions of open source AI developers making thousands of AI models. And inventing the stuff the central controlled commissars never could have thought of. This is always the way it is. It is not “different” this time. They are too immature to know. Give them grace. Now you know better. Now you know. Speak up.
15:15

Some of us have been working and thinking about AI, started before most in AI today were born. To them they absolutely believe they have a lock of the dystopian fear. The saw too many Hollywood movies. I first say the VHS in the 1980s and the opening dialog never left me. The value of experience is it allows you to understand the way of things before the inexperienced can put their shoes on. Another example to learn in this video is Japan was the center of the universe. There was largess and I dare say arrogance. They absolutely were convince they would control AI via the government. It did not work out that way, like it ALWAYS does not work out that way. Each generation has to learn the hard lessons that should be obvious. A renegade group in Canada no one cared about to the thread all others dropped and you have AI today because of it. They were the last group to have been seen by the industry to have produced anything. Today the same playbook is being implemented by the largest AI companies full of zero experience and begging for big daddy government to save us from their scary monster. We turn the lights and show it is just some shadows. The entry prediction is accurate already, yet the world did not end. Watch this and see how really immature so many leaders are acting. Who will save us, millions of open source AI developers making thousands of AI models. And inventing the stuff the central controlled commissars never could have thought of. This is always the way it is. It is not “different” this time. They are too immature to know. Give them grace. Now you know better. Now you know. Speak up.

Brian Roemmele

15,451 просмотров • 24 дней назад

For anyone curious, this was my POV in a video with the russian group 1. I do have to give credit to an amazing moderator, as the MrBeast team seemed short-staffed. One mod stayed active for hours, even very late until 5 AM, so reports were handled slowly because of the short staff because during that time you had to either have to ping a mod or report it in a thread where EVERYONE CAN SEE. so it wasn't until later where you can report things privately 2. I hid usernames because they were trying to provoke and create content for their own video, while we were told not to release anything about the event. until the video was released 3. I'm not jealous of the girls' side losing. You might think, "OMG, you're just jealous because you missed out on 50k!!!" But remember, the prize was split among everyone, so the boys ended up with just $140 USD after 8 days and 6-8 hours of playtime. 4. It wasn't just the boys infiltrating the girls' side that made us fall apart. It was a lot of background toxicity that really added up. Death threats were sent to people, and others got mad at girls and started arguing simply because we were talking to the guys' side. 5. I'm not 100% sure about the bribing. All I know is that a group of girls was called the "Doordash" group because they were bribed to kill other girls so the guys could send them $20 or something involving DoorDash. I don't know the full story. 6. My entire group survived the competition thanks to our leader Oxy's incredible skybase. Our traps killed a few boys, and we had nearly unlimited arrows to shoot at them so a . A lot of things were really was cut out of from the video , even though there was a lot of were many interesting groups on the girls side. we We even had Jimmy, Ish, And and Nolan watching our showdown while we fought off 20 boys that were towering to us.
3:04

For anyone curious, this was my POV in a video with the russian group 1. I do have to give credit to an amazing moderator, as the MrBeast team seemed short-staffed. One mod stayed active for hours, even very late until 5 AM, so reports were handled slowly because of the short staff because during that time you had to either have to ping a mod or report it in a thread where EVERYONE CAN SEE. so it wasn't until later where you can report things privately 2. I hid usernames because they were trying to provoke and create content for their own video, while we were told not to release anything about the event. until the video was released 3. I'm not jealous of the girls' side losing. You might think, "OMG, you're just jealous because you missed out on 50k!!!" But remember, the prize was split among everyone, so the boys ended up with just $140 USD after 8 days and 6-8 hours of playtime. 4. It wasn't just the boys infiltrating the girls' side that made us fall apart. It was a lot of background toxicity that really added up. Death threats were sent to people, and others got mad at girls and started arguing simply because we were talking to the guys' side. 5. I'm not 100% sure about the bribing. All I know is that a group of girls was called the "Doordash" group because they were bribed to kill other girls so the guys could send them $20 or something involving DoorDash. I don't know the full story. 6. My entire group survived the competition thanks to our leader Oxy's incredible skybase. Our traps killed a few boys, and we had nearly unlimited arrows to shoot at them so a . A lot of things were really was cut out of from the video , even though there was a lot of were many interesting groups on the girls side. we We even had Jimmy, Ish, And and Nolan watching our showdown while we fought off 20 boys that were towering to us.

CozyGoober🐻‍❄️✨ Gremlin

21,469 просмотров • 8 месяцев назад

🛠️ Patch Notes - Early Access Patch 2 We are incredibly excited to be releasing our largest patch yet, marking the One Month Anniversary of our Steam Early Access Launch! Patch 2 is chock full of highly requested features such as Weapon Tryout, the ability to Respec, DLSS / FSR Upscaling and Controller Remapping. Lots of Balancing and Quality of Life improvements, Audio, Animation, and Visual Effect polish as well as a multitude of bug fixes are also included! Between DLSS and FSR, numerous CPU, GPU performance improvements, and memory optimization we are confident that your experience of playing No Rest For The Wicked will be significantly smoother across a wide range of hardware. For NVIDIA users, we are excited to mention that there’s a new Game Ready Driver for No Rest for the Wicked! Be sure to check out our Patch 2 Highlight Video and the full patch notes below. ⚔️ Performance: • Performance Mode now lowers texture resolution, reducing crashes on lower-end machines • Numerous Significant CPU optimizations • Fixed performance degradation that might occur on some gamepads • Fixed numerous memory leaks • Reduced instantiation spikes for numerous objects • Disabled detail meshes on generic humanoids faces when not needed • Reduced latency, overhead and improved stability of GPU Culling • Optimized texture resolution and memory budgets for Steam Deck • Optimized Art content in Ship Prologue and its cinematics • Removed unused weapon assets to free up memory • Removed leftover developer tools to free up memory • Optimized CPU spikes of a variety of common content loading operations • Added texture streaming for character portraits during dialogue interactions to save memory • Fixed some persistent log spam being generated by potatoes in Nameless Pass • Cleaned up numerous NPC prefabs, reducing memory footprint and instantiation costs • Optimized Ambient Occlusion Rendering • Extended GPU culling usage for more cases • Configured and optimized pooling for more prefab instantiations reducing CPU spikes ⚔️ Gameplay Systems: • Added new Respec System! ⚬ Players can now Respec by examining the statue in the Cerim Crucible Atrium ⚬ Respec allows players to take back Attribute Points that have been allocated at the cost of 1 Fallen Ember per Attribute Point returned ⚬ Players can then allocate returned Attribute Points for no cost at the Respec screen or in the existing Stats screen ⚔️ Quality of Life: • All weapons can now be equipped regardless of their Attribute Requirements to allow players to try out weapons they acquire ⚬ Weapons that the player does not meet the requirements for will deal less damage through negative scaling on the Attributes that are below the weapon’s Attribute Requirements • Inventory Items can now be docked to compare them ⚬ Press F (Keyboard) or Y (Controller) to dock items and hover other items to compare • Brought back the Misc category to the Inventory ⚬ Housing items, Runes, Fallen Embers and other miscellaneous items will now be sorted into this category and free up space from other categories • Vendor screens are now sorted by item type so that items are more organized for purchase • Improved Stamina player HUD brightness for better visibility, and readability of stamina debt • Added side notifications for when Danos Sacrament Upgrades are completed • Added Floor Indicators under the Clock HUD to show the Cerim Crucible floors • Improved visibility of LB/RB button icons for Equipment HUD on Steam Deck ⚔️ Settings: • Added support for Upscaling with DLSS 3.7 and FSR 2.2 • Added custom key rebinding options for Controller • Added support for Mouse Buttons 4,5 and F1-F12 Keys for custom Keyboard bindings • Default Keyboard layout set to Mouse+WASD • Added support for worldspace Player HUD (Stamina wheel, NPC name tags, etc) brightness to UI Brightness setting ⚔️ Content Additions: • Added a new set of enchantments • All Throw runes can now be added to Spears ⚔️ Loot: • Added Pig Sticker Blueprint to Fillmore's Level 1 Shop • Added Assegai Blueprint to Whittacker's Level 1 Shop ⚔️ Balance: • Nerfed Throw runes ⚬ Reduced Poise Damage on all Throw runes ⚬ Reduced Damage on Ice Throw Rune • Nerfed Focus Regeneration enchant curve so that it no longer generates too much Focus too quickly • Focus Regeneration enchantment no longer drops with Gloves and now only drops with Helmets • This includes enchanting items at Eleanor • Falling Sky and Woodland Protector’s initial item levels were set too high and have been lowered to the intended levels ⚔️ Weapons: • Updated animation for backstabbing with Staves, Spears, Greatswords and Great Hammers • Updated visual effects for Piercing type weapon attacks (such as Spear or Rapier) ⚔️ Enemies and Bosses: • Polished Darak boss fight ⚬ Improved behavior to prevent him standing idle after attacking ⚬ Improved behavior when fighting ranged builds • Added Bite Attack to Plague Rat • Added Back Attack to Risen Axe Bruiser • Added escape logic to Risen Fire Bomber • Added Elemental Affix visual effects to Nith Brute, Nith Screamer and Shackled Brute • Adding cloth simulation to Boarskin Bruiser • Polished rigging on Plagued Boomer • Reduced camera shake intensity on Risen Hammer Bruiser, Boarskin Bruiser and Riven Twins • Smaller enemies can now smash breakable objects (barrels, crates, etc.) ⚔️ NPCs: • Changed the name of the worried woman in the Sacrament Town Square to Nell • Polishing dialog for Druo, Lucian and Everwyn • Updated the dialog for NPCs at the Cerim Gate in Nameless Pass • Added eavesdrop to Sleeping Guard Gerard in Sacrament ⚔️ Areas: • Improved collision, faders and set dressing in Prologue Ship, Orban Glades, Mariner’s Keep, Nameless Pass, Sacrament, Multiple Sacrament Interiors, Cerim Crucible, Cerim Cave, Riven Twins Boss Arena and Potion Seller Cave • Polished lighting for the ship in Prologue, Sacrament and Cerim Crucible • Updated foliage in various locations • Added physics and wind simulation to Spruce trees ⚔️ Cinematics: • Polished animations for characters in the Inquisition Arrival cinematic • Improved lighting, character rim lighting and volumetrics for the Prologue Ship Crash Outro and Inquisition Arrival cinematics • Removed a background character who was blocking part of the view in the Inquisition Arrival cinematic • Fixed cloth and camera pops in the Inquisition Arrival cinematic ⚔️ Audio: • Environment update for Sacrament: ⚬ Added Ambience Emitters for certain Residential and Vendor buildings like the Cook, Tavern, Woodcrafter and Enchantress ⚬ Updated zone beds and oneshots for unique parts of town (Cemetery, Poor Area,Training Grounds, Dasha Sanctuary) ⚬ The church near the cemetery now has bells ringing to service playing at certain times of day, followed by churchgoers praying and chanting from behind the doors. ⚬ Updated ambience for Sacrament Town Square to feel busier during the day ⚬ Updated environment audio for the Cerim Gate zone in Mountain Pass • Increased audio buffer to help alleviate audio crackle artifacts • Increased available audio resources to help prevent sounds from dropping out during long play sessions • Updated audio for Cerim Vision cinematic • Updated audio mix for Barrel and Crate destruction • Saluting Guards in Sacrament now have sound • Added Weapon-specific Impacts on parrying and blocking actions • Added ladder sliding sound effects for Kickdown Ladders • Added sound effects for going down Ladders • Added new sound effects for Plague-Enchanted weapons • Polished audio for Bounties enemies • Fixed missing sounds for Plagued Mutant Soldier • Fixed rain sounds appearing in Sacrament Interiors • Fixed enchantment-specific weapon whooshes cutting a bit too early • Fixed NPCs not making footstep sounds when walking around • Fixed environment states sometimes not resetting when returning to the main menu ⚔️ VFX: • Blood effects are now juicier and used more often! • Improved blood visual effects attachment to characters bodies from attacking and getting hit • Increased intensity of shiny item drop VFX ⚔️ Bounties and Challenges: • Updated Crustacean Conundrum bounty to spawn 14 Crabs while still only requiring 8 Crabs be killed to complete ⚔️ Localization: • Added and updated localized text in many places across multiple languages • Added localization support for new Controller Remapping screen and for various missing localized elements • Fixed incorrect font on the Activities screen ⚔️ Bug Fixes: • Fixed various enchantments on unique weapons and rings that weren’t working properly • Fixed Rested Bonuses for sleeping in beds • Fixed Key Items respawning after pick up • Fixed navigation in Nameless Pass which was preventing certain enemies and the Riven Twins boss from patrolling and moving to the player • Fixed Echo Knight falling off the arena and blocking progress • Fixed Cerim Armor missing upgrades at Filmore • Fixed Risen Pavise, Eye of the Beholder and Wooden Howler Shields not showing their proper models • Fixed SHIFT key not being recognized in the Main Menu • Fixed certain environment textures overriding certain armor textures • Fixed certain armor having missing or incorrect cloth simulation • Fixed rigging on certain armor • Fixed The Wallow boss attacks not having sound effects • Fixed Falling Sky Blueprint not giving the Unique version of the weapon when crafting • Fixed an issue where completed but not yet turned in bounty/challenge rewards were being automatically given to the player at reset • Fixed wall cannons not firing in Cerim Crucible • Fixed XP UI not showing “Max Level” after reaching the level cap • Fixed Level and XP UI being present without a Character selected in the Main Menu • Fixed “Long Area Name” appearing on the map where map is unavailable (such as Cerim Crucible) • Fixed being able to skip through locked doors in The Shallows • Fixed players getting stuck at the end of the entrance corridor in the Echo Knight Arena • Fixed Enchant Item Challenge counting enchanted items that are picked up • Fixed mortuary guard popping in on screen during Spoken and Unspoken quest • Fixed extra Elsa map marker during the Spoken and Unspoken quest • Fixed Giles and Petra standing instead of sitting on the chairs in Caroline’s Inn • Fixed Arrows not hitting Plagued Wolf • Fixed Wolf and Plagued Wolf target point • Fixed Tanth Knight getting stuck during patrolling in Mariner’s Keep at Endgame state • Fixed Darak leaving his shield in Orban Glades when he escapes • Fixed chest opening VFX in Performance and Balanced quality presets • Fixed Wolf having a dance party after death • Fixed Chest floating in the air in Mariner’s Keep • Fixed incorrect texture on the Crafting Table • Fixed 4096x2160 resolution appearing as 256x135 aspect ratio, instead displays as 1.9:1 • Fixed overblown bonfire lighting at The Shallows • Removed rogue rim light at The Shallows • Removed lighting debug shortcut See the full patch notes here -
1:30

🛠️ Patch Notes - Early Access Patch 2 We are incredibly excited to be releasing our largest patch yet, marking the One Month Anniversary of our Steam Early Access Launch! Patch 2 is chock full of highly requested features such as Weapon Tryout, the ability to Respec, DLSS / FSR Upscaling and Controller Remapping. Lots of Balancing and Quality of Life improvements, Audio, Animation, and Visual Effect polish as well as a multitude of bug fixes are also included! Between DLSS and FSR, numerous CPU, GPU performance improvements, and memory optimization we are confident that your experience of playing No Rest For The Wicked will be significantly smoother across a wide range of hardware. For NVIDIA users, we are excited to mention that there’s a new Game Ready Driver for No Rest for the Wicked! Be sure to check out our Patch 2 Highlight Video and the full patch notes below. ⚔️ Performance: • Performance Mode now lowers texture resolution, reducing crashes on lower-end machines • Numerous Significant CPU optimizations • Fixed performance degradation that might occur on some gamepads • Fixed numerous memory leaks • Reduced instantiation spikes for numerous objects • Disabled detail meshes on generic humanoids faces when not needed • Reduced latency, overhead and improved stability of GPU Culling • Optimized texture resolution and memory budgets for Steam Deck • Optimized Art content in Ship Prologue and its cinematics • Removed unused weapon assets to free up memory • Removed leftover developer tools to free up memory • Optimized CPU spikes of a variety of common content loading operations • Added texture streaming for character portraits during dialogue interactions to save memory • Fixed some persistent log spam being generated by potatoes in Nameless Pass • Cleaned up numerous NPC prefabs, reducing memory footprint and instantiation costs • Optimized Ambient Occlusion Rendering • Extended GPU culling usage for more cases • Configured and optimized pooling for more prefab instantiations reducing CPU spikes ⚔️ Gameplay Systems: • Added new Respec System! ⚬ Players can now Respec by examining the statue in the Cerim Crucible Atrium ⚬ Respec allows players to take back Attribute Points that have been allocated at the cost of 1 Fallen Ember per Attribute Point returned ⚬ Players can then allocate returned Attribute Points for no cost at the Respec screen or in the existing Stats screen ⚔️ Quality of Life: • All weapons can now be equipped regardless of their Attribute Requirements to allow players to try out weapons they acquire ⚬ Weapons that the player does not meet the requirements for will deal less damage through negative scaling on the Attributes that are below the weapon’s Attribute Requirements • Inventory Items can now be docked to compare them ⚬ Press F (Keyboard) or Y (Controller) to dock items and hover other items to compare • Brought back the Misc category to the Inventory ⚬ Housing items, Runes, Fallen Embers and other miscellaneous items will now be sorted into this category and free up space from other categories • Vendor screens are now sorted by item type so that items are more organized for purchase • Improved Stamina player HUD brightness for better visibility, and readability of stamina debt • Added side notifications for when Danos Sacrament Upgrades are completed • Added Floor Indicators under the Clock HUD to show the Cerim Crucible floors • Improved visibility of LB/RB button icons for Equipment HUD on Steam Deck ⚔️ Settings: • Added support for Upscaling with DLSS 3.7 and FSR 2.2 • Added custom key rebinding options for Controller • Added support for Mouse Buttons 4,5 and F1-F12 Keys for custom Keyboard bindings • Default Keyboard layout set to Mouse+WASD • Added support for worldspace Player HUD (Stamina wheel, NPC name tags, etc) brightness to UI Brightness setting ⚔️ Content Additions: • Added a new set of enchantments • All Throw runes can now be added to Spears ⚔️ Loot: • Added Pig Sticker Blueprint to Fillmore's Level 1 Shop • Added Assegai Blueprint to Whittacker's Level 1 Shop ⚔️ Balance: • Nerfed Throw runes ⚬ Reduced Poise Damage on all Throw runes ⚬ Reduced Damage on Ice Throw Rune • Nerfed Focus Regeneration enchant curve so that it no longer generates too much Focus too quickly • Focus Regeneration enchantment no longer drops with Gloves and now only drops with Helmets • This includes enchanting items at Eleanor • Falling Sky and Woodland Protector’s initial item levels were set too high and have been lowered to the intended levels ⚔️ Weapons: • Updated animation for backstabbing with Staves, Spears, Greatswords and Great Hammers • Updated visual effects for Piercing type weapon attacks (such as Spear or Rapier) ⚔️ Enemies and Bosses: • Polished Darak boss fight ⚬ Improved behavior to prevent him standing idle after attacking ⚬ Improved behavior when fighting ranged builds • Added Bite Attack to Plague Rat • Added Back Attack to Risen Axe Bruiser • Added escape logic to Risen Fire Bomber • Added Elemental Affix visual effects to Nith Brute, Nith Screamer and Shackled Brute • Adding cloth simulation to Boarskin Bruiser • Polished rigging on Plagued Boomer • Reduced camera shake intensity on Risen Hammer Bruiser, Boarskin Bruiser and Riven Twins • Smaller enemies can now smash breakable objects (barrels, crates, etc.) ⚔️ NPCs: • Changed the name of the worried woman in the Sacrament Town Square to Nell • Polishing dialog for Druo, Lucian and Everwyn • Updated the dialog for NPCs at the Cerim Gate in Nameless Pass • Added eavesdrop to Sleeping Guard Gerard in Sacrament ⚔️ Areas: • Improved collision, faders and set dressing in Prologue Ship, Orban Glades, Mariner’s Keep, Nameless Pass, Sacrament, Multiple Sacrament Interiors, Cerim Crucible, Cerim Cave, Riven Twins Boss Arena and Potion Seller Cave • Polished lighting for the ship in Prologue, Sacrament and Cerim Crucible • Updated foliage in various locations • Added physics and wind simulation to Spruce trees ⚔️ Cinematics: • Polished animations for characters in the Inquisition Arrival cinematic • Improved lighting, character rim lighting and volumetrics for the Prologue Ship Crash Outro and Inquisition Arrival cinematics • Removed a background character who was blocking part of the view in the Inquisition Arrival cinematic • Fixed cloth and camera pops in the Inquisition Arrival cinematic ⚔️ Audio: • Environment update for Sacrament: ⚬ Added Ambience Emitters for certain Residential and Vendor buildings like the Cook, Tavern, Woodcrafter and Enchantress ⚬ Updated zone beds and oneshots for unique parts of town (Cemetery, Poor Area,Training Grounds, Dasha Sanctuary) ⚬ The church near the cemetery now has bells ringing to service playing at certain times of day, followed by churchgoers praying and chanting from behind the doors. ⚬ Updated ambience for Sacrament Town Square to feel busier during the day ⚬ Updated environment audio for the Cerim Gate zone in Mountain Pass • Increased audio buffer to help alleviate audio crackle artifacts • Increased available audio resources to help prevent sounds from dropping out during long play sessions • Updated audio for Cerim Vision cinematic • Updated audio mix for Barrel and Crate destruction • Saluting Guards in Sacrament now have sound • Added Weapon-specific Impacts on parrying and blocking actions • Added ladder sliding sound effects for Kickdown Ladders • Added sound effects for going down Ladders • Added new sound effects for Plague-Enchanted weapons • Polished audio for Bounties enemies • Fixed missing sounds for Plagued Mutant Soldier • Fixed rain sounds appearing in Sacrament Interiors • Fixed enchantment-specific weapon whooshes cutting a bit too early • Fixed NPCs not making footstep sounds when walking around • Fixed environment states sometimes not resetting when returning to the main menu ⚔️ VFX: • Blood effects are now juicier and used more often! • Improved blood visual effects attachment to characters bodies from attacking and getting hit • Increased intensity of shiny item drop VFX ⚔️ Bounties and Challenges: • Updated Crustacean Conundrum bounty to spawn 14 Crabs while still only requiring 8 Crabs be killed to complete ⚔️ Localization: • Added and updated localized text in many places across multiple languages • Added localization support for new Controller Remapping screen and for various missing localized elements • Fixed incorrect font on the Activities screen ⚔️ Bug Fixes: • Fixed various enchantments on unique weapons and rings that weren’t working properly • Fixed Rested Bonuses for sleeping in beds • Fixed Key Items respawning after pick up • Fixed navigation in Nameless Pass which was preventing certain enemies and the Riven Twins boss from patrolling and moving to the player • Fixed Echo Knight falling off the arena and blocking progress • Fixed Cerim Armor missing upgrades at Filmore • Fixed Risen Pavise, Eye of the Beholder and Wooden Howler Shields not showing their proper models • Fixed SHIFT key not being recognized in the Main Menu • Fixed certain environment textures overriding certain armor textures • Fixed certain armor having missing or incorrect cloth simulation • Fixed rigging on certain armor • Fixed The Wallow boss attacks not having sound effects • Fixed Falling Sky Blueprint not giving the Unique version of the weapon when crafting • Fixed an issue where completed but not yet turned in bounty/challenge rewards were being automatically given to the player at reset • Fixed wall cannons not firing in Cerim Crucible • Fixed XP UI not showing “Max Level” after reaching the level cap • Fixed Level and XP UI being present without a Character selected in the Main Menu • Fixed “Long Area Name” appearing on the map where map is unavailable (such as Cerim Crucible) • Fixed being able to skip through locked doors in The Shallows • Fixed players getting stuck at the end of the entrance corridor in the Echo Knight Arena • Fixed Enchant Item Challenge counting enchanted items that are picked up • Fixed mortuary guard popping in on screen during Spoken and Unspoken quest • Fixed extra Elsa map marker during the Spoken and Unspoken quest • Fixed Giles and Petra standing instead of sitting on the chairs in Caroline’s Inn • Fixed Arrows not hitting Plagued Wolf • Fixed Wolf and Plagued Wolf target point • Fixed Tanth Knight getting stuck during patrolling in Mariner’s Keep at Endgame state • Fixed Darak leaving his shield in Orban Glades when he escapes • Fixed chest opening VFX in Performance and Balanced quality presets • Fixed Wolf having a dance party after death • Fixed Chest floating in the air in Mariner’s Keep • Fixed incorrect texture on the Crafting Table • Fixed 4096x2160 resolution appearing as 256x135 aspect ratio, instead displays as 1.9:1 • Fixed overblown bonfire lighting at The Shallows • Removed rogue rim light at The Shallows • Removed lighting debug shortcut See the full patch notes here -

No Rest for the Wicked

184,300 просмотров • 2 лет назад

Today we're announcing #GAIA1: a 9B parameter world model, trained on 4,700 hours of driving data, able to simulate complex and diverse driving scenes from video, text and action inputs. This model is 480x larger than the preview we shared earlier this year and the results are incredible. These videos are entirely synthetically generated by Wayve's generative AI, GAIA-1. But there is more here than just generating videos, GAIA is an entire world model. A world model allows us to simulate the future, conditioned on video, text and action inputs, which can be leveraged for making informed decisions when driving. Why is this game-changing for autonomous driving? 1. Safety. One limitation with AI systems like today's Large Language Models is that they are autoregressive, next-word prediction algorithms, but aren't necessarily aware of the implications of their decisions. A world model allows us to give our AI the capability to be aware of its decisions, by simulating the future, which is important for self-driving safety. 2. Synthetic training data. I believe synthetic training data is the future for AI, because it is safer, cheaper, and infinitely scalable. GAIA-1 unlocks unprecedented realism and diversity of synthetic data for self-driving. 3. Long-tail robustness. One of the biggest challenges for self-driving is long-tail robustness: dealing with the enormous magnitude of edge cases we see on the road. An advantage of generative AI is its incredible ability to recombine experiences in new ways. This is exciting for self-driving as it means we can learn from two edge case scenarios, and combine them to become a corner case. For example, we can experience driving in fog, and experience of jay-walking pedestrians, and GAIA can learn from these experiences to understand how to generate a fog+jay walking scenario. Check out many more videos in our blog or further technical details in our paper: Or come chat with our team who are at the International Conference on Computer Vision (#ICCV2023) this week in Paris in Booth 32 Jamie Shotton
0:41

Today we're announcing #GAIA1: a 9B parameter world model, trained on 4,700 hours of driving data, able to simulate complex and diverse driving scenes from video, text and action inputs. This model is 480x larger than the preview we shared earlier this year and the results are incredible. These videos are entirely synthetically generated by Wayve's generative AI, GAIA-1. But there is more here than just generating videos, GAIA is an entire world model. A world model allows us to simulate the future, conditioned on video, text and action inputs, which can be leveraged for making informed decisions when driving. Why is this game-changing for autonomous driving? 1. Safety. One limitation with AI systems like today's Large Language Models is that they are autoregressive, next-word prediction algorithms, but aren't necessarily aware of the implications of their decisions. A world model allows us to give our AI the capability to be aware of its decisions, by simulating the future, which is important for self-driving safety. 2. Synthetic training data. I believe synthetic training data is the future for AI, because it is safer, cheaper, and infinitely scalable. GAIA-1 unlocks unprecedented realism and diversity of synthetic data for self-driving. 3. Long-tail robustness. One of the biggest challenges for self-driving is long-tail robustness: dealing with the enormous magnitude of edge cases we see on the road. An advantage of generative AI is its incredible ability to recombine experiences in new ways. This is exciting for self-driving as it means we can learn from two edge case scenarios, and combine them to become a corner case. For example, we can experience driving in fog, and experience of jay-walking pedestrians, and GAIA can learn from these experiences to understand how to generate a fog+jay walking scenario. Check out many more videos in our blog or further technical details in our paper: Or come chat with our team who are at the International Conference on Computer Vision (#ICCV2023) this week in Paris in Booth 32 Jamie Shotton

Alex Kendall

631,869 просмотров • 2 лет назад

** MEGA Parodius Scaling Effects Part 2 ** Well - this is the BIG one - literally !! Huge thanks to my team Pyron & Vector Orbitex for their efforts. Pyron has provided all the source frames for Puyon and his spikes / explosion and a lot of analysis video on how the spikes behave / move which was really helpful. Pyron also used his CRT setup for this video as we felt an emulator video would not do it justice - running on 100% real MD hardware FTW. Vector has provided the catchy boss music and its sounding great - as always ! The coding on this has been a bit insane - things done since part 1 post previous: Implemented dual buffering - Last video was single buffered - so VRAM is very tight now , we only have about 40/2048 tiles free. For the longest time I didn't think it would fit - I found a vram jigsaw puzzle that made it work in the end. Double buffering has cleaned up the stability of the animation and matches the arcade scaling effect now albiet costing 2x more VRAM . Vertical Scaling Implemented - the vertical scaler was taken from Lufthoheit ( my other shooter ) and its heavily optimised to reduce cpu usage. During the scaling the vertical scaler partitions the 68k processor registers into 2 sets, 4 registers are allocated to feeding the fast horizontal interrupt (h-int) that drives the vertical scaling , remaining 12 registers are for the horizontal scaler running in the background. This setup is much faster than normal backup / restore register methods, as we do not need to backup / restore registers in the h-int which would double CPU costs. The catch is the momment any background routine tries to use the H-ints registers it would break things so it has to be carefully timed. Added the spike projectiles - this was very tricky to get close to the arcade, they are semi heat seeking missiles basically and hence needed code that worked out angle differences to player at speed theres no time for arc-tan or similar so it uses faster lookup tables to work out the angles . They speed up over time and get larger and whats more we can't keep all the scales in VRAM - we have room for 2 spike buffers only. Also what was a real pain was working out scaled coordinates for the circular launch of the spikes . Added Fish Damage - Shock frame and Explosion frames from Arcade . Very proud of the fact we have the full arcade quality explosion is which is fully scaled also. Added Temporal Masking - which is fancy wording for don't draw nothing to buffer if nothing is there already there for the scaling . So empty Corners and edges can be optimised out to lower cpu costs and rom costs. I had to make some scripting for this and work out what areas did not need drawing at all in the frame, which should be force cleared by cpu and which areas should just be copied from rom. This reduced rom size by 30 kb and with a bit more work we could extend that to 60 kb & get a bit more speedup even doing so. Added a frame limiter . In the last video update we let the 68k burn hot and just pump out frames as fast as it could - here we match the arcade animation rate which does leave the cpu idling at times , particularly in the smaller frames - even at large though we could be running the animation 25 % faster , issue is though that would speed up the game logic and make it less arcade accurate. We had some real bullet / Spike hell simulations going without the limiter but yeah we had to tone it down a bit. Maybe in a hardcore mode we could let it run wild though ! Code is 95% 68k assembly with about 5% C code (v-int as its cold path ) driving things . This sort of thing needs all the speed it can get !! Well now after all that I can return to finish off Level 1 haha - just a wee sidetrack there . No doubt we will polish stage 8 boss some more in time too !! #SegaMegadrive #SegaGenesis #Parodius #SGDK
0:58

** MEGA Parodius Scaling Effects Part 2 ** Well - this is the BIG one - literally !! Huge thanks to my team Pyron & Vector Orbitex for their efforts. Pyron has provided all the source frames for Puyon and his spikes / explosion and a lot of analysis video on how the spikes behave / move which was really helpful. Pyron also used his CRT setup for this video as we felt an emulator video would not do it justice - running on 100% real MD hardware FTW. Vector has provided the catchy boss music and its sounding great - as always ! The coding on this has been a bit insane - things done since part 1 post previous: Implemented dual buffering - Last video was single buffered - so VRAM is very tight now , we only have about 40/2048 tiles free. For the longest time I didn't think it would fit - I found a vram jigsaw puzzle that made it work in the end. Double buffering has cleaned up the stability of the animation and matches the arcade scaling effect now albiet costing 2x more VRAM . Vertical Scaling Implemented - the vertical scaler was taken from Lufthoheit ( my other shooter ) and its heavily optimised to reduce cpu usage. During the scaling the vertical scaler partitions the 68k processor registers into 2 sets, 4 registers are allocated to feeding the fast horizontal interrupt (h-int) that drives the vertical scaling , remaining 12 registers are for the horizontal scaler running in the background. This setup is much faster than normal backup / restore register methods, as we do not need to backup / restore registers in the h-int which would double CPU costs. The catch is the momment any background routine tries to use the H-ints registers it would break things so it has to be carefully timed. Added the spike projectiles - this was very tricky to get close to the arcade, they are semi heat seeking missiles basically and hence needed code that worked out angle differences to player at speed theres no time for arc-tan or similar so it uses faster lookup tables to work out the angles . They speed up over time and get larger and whats more we can't keep all the scales in VRAM - we have room for 2 spike buffers only. Also what was a real pain was working out scaled coordinates for the circular launch of the spikes . Added Fish Damage - Shock frame and Explosion frames from Arcade . Very proud of the fact we have the full arcade quality explosion is which is fully scaled also. Added Temporal Masking - which is fancy wording for don't draw nothing to buffer if nothing is there already there for the scaling . So empty Corners and edges can be optimised out to lower cpu costs and rom costs. I had to make some scripting for this and work out what areas did not need drawing at all in the frame, which should be force cleared by cpu and which areas should just be copied from rom. This reduced rom size by 30 kb and with a bit more work we could extend that to 60 kb & get a bit more speedup even doing so. Added a frame limiter . In the last video update we let the 68k burn hot and just pump out frames as fast as it could - here we match the arcade animation rate which does leave the cpu idling at times , particularly in the smaller frames - even at large though we could be running the animation 25 % faster , issue is though that would speed up the game logic and make it less arcade accurate. We had some real bullet / Spike hell simulations going without the limiter but yeah we had to tone it down a bit. Maybe in a hardcore mode we could let it run wild though ! Code is 95% 68k assembly with about 5% C code (v-int as its cold path ) driving things . This sort of thing needs all the speed it can get !! Well now after all that I can return to finish off Level 1 haha - just a wee sidetrack there . No doubt we will polish stage 8 boss some more in time too !! #SegaMegadrive #SegaGenesis #Parodius #SGDK

Shannon Birt

26,902 просмотров • 6 месяцев назад

The character we spent by far the longest creating for #Transformers ROTB was Air Razor. We spent over a year working on just her and her variants. The reason she took so long was because there was no unified vision for what she was supposed to look like. We had initial concepts but the leadership team from the studio wasn't happy with how she looked when we matched to them so we had to iterate and develop different styles until they were happy. Our asset supervisor did a mockup redesign of her head to look more like a golden eagle which they liked a lot, this is what the final head shape was decided to be. We opted to match her styling to a peregrine falcon as the animation director really liked the breakup and contrast that provided. She is the only hero character in the film without an alt mode. She only has her bird form. It was decided during the concepting stages of the film that she would not have a robot form. To make her talk, it was decided by the animation director early on that her beak would semi transform to enable some more expressive talking animations as opposed to her just opening and closing her beak. We spent a very long time on her feathers, in modelling, look development, and rigging, ensuring that we matched to the directors vision and that they looked good in shots. She had over 9 variants, each for a different part of the film. She had a battle mode, damage states, and a "virus" infected mode for when she was infected by Scourge. Each of these also had different variants, totalling the final 9 seen in the film. We added a lot of engraving details to her, each being in the official Maximal language, translated from English. For example, the engraving on her chest says "In the absence of light, darkness prevails" Air Razor was a big creative and technical challenge and a massive team effort to get right. We had plenty of sleepless nights while trying to figure her out. CREDITS: Video by Paramount, MPC, and WetaFX I was responsible for her primary texturing and look development and also served as the asset Lead alongside Tom Goodchild. Primary modeling by Simone Porchedda Final texturing & lookdev by Vipin Kabadi Primary rigging by Tom Goodchild Various other artists supported the modeling, texturing, and rigging of Air Razor, I unfortunately do not recall everyone's names - she was a big team effort.
0:28

The character we spent by far the longest creating for #Transformers ROTB was Air Razor. We spent over a year working on just her and her variants. The reason she took so long was because there was no unified vision for what she was supposed to look like. We had initial concepts but the leadership team from the studio wasn't happy with how she looked when we matched to them so we had to iterate and develop different styles until they were happy. Our asset supervisor did a mockup redesign of her head to look more like a golden eagle which they liked a lot, this is what the final head shape was decided to be. We opted to match her styling to a peregrine falcon as the animation director really liked the breakup and contrast that provided. She is the only hero character in the film without an alt mode. She only has her bird form. It was decided during the concepting stages of the film that she would not have a robot form. To make her talk, it was decided by the animation director early on that her beak would semi transform to enable some more expressive talking animations as opposed to her just opening and closing her beak. We spent a very long time on her feathers, in modelling, look development, and rigging, ensuring that we matched to the directors vision and that they looked good in shots. She had over 9 variants, each for a different part of the film. She had a battle mode, damage states, and a "virus" infected mode for when she was infected by Scourge. Each of these also had different variants, totalling the final 9 seen in the film. We added a lot of engraving details to her, each being in the official Maximal language, translated from English. For example, the engraving on her chest says "In the absence of light, darkness prevails" Air Razor was a big creative and technical challenge and a massive team effort to get right. We had plenty of sleepless nights while trying to figure her out. CREDITS: Video by Paramount, MPC, and WetaFX I was responsible for her primary texturing and look development and also served as the asset Lead alongside Tom Goodchild. Primary modeling by Simone Porchedda Final texturing & lookdev by Vipin Kabadi Primary rigging by Tom Goodchild Various other artists supported the modeling, texturing, and rigging of Air Razor, I unfortunately do not recall everyone's names - she was a big team effort.

Rassoul Edji

83,554 просмотров • 1 год назад

This is one-shot assembly: you show examples of what to build, and the robot just does it. (see original post: To share more on how this works, the robot is controlled in real time by a neural network that takes in video pixels and outputs 100Hz actions. The video below is part of the raw input passed directly into the model. I also like this view (at 1x speed) because it shows more of the (I think very cool) subtle moments of dexterity near the fingertips 👌 One-shot assembly seemed like a dream even just a year ago — it's not easy. It requires both the high-level reasoning of "what to build" (recognizing the geometry of the structures presented by the human), and the low-level visuomotor control of "how to build it" (purposefully re-orienting individual pieces and nudging them together in place). While possible to manually engineer a complex system for this (e.g. w/ hierarchical control, or explicit state representations), we were curious if our own Foundation model could do it all end-to-end with just some post-training data. Surprisingly, it just worked. Nothing about the recipe is substantially different than any other demo we’ve run in the past, and we’re excited about its implications on model capabilities: • On contextual reasoning, these models can (i) attend to task-related pixels in the peripheral view of the video inputs, and (ii) retain this knowledge in-context while ignoring irrelevant background. This is useful for generalizing to a wide range of real workflows: e.g. paying attention to what’s coming down the conveyor line, or glancing at the instructions displayed on a nearby monitor. • On dexterity, these models can produce contact-rich "commonsense" behaviors that can be difficult to pre-program or write language instructions for e.g. rolling a brick slightly to align its studs against the bottom of another, re-grasping to get a better grip or to move out of the way before a forceful press, or gently pushing the corners of a brick against the mat to rotate it in hand and stand it up vertically (i.e. extrinsic dexterity). These aspects work together to form a capability that resembles fast adaptation — a hallmark of intelligence, relevant for real use cases. This has also expanded my own perspective on what's possible with robot learning, using a recipe that's repeatable for many more skills. This milestone stands on top of the solid technical foundations we’ve built here at Generalist: hardcore controls & hardware, all in-house built models, and a data engine that "just works." We're a small group of hyper-focused engineers, and hands-down the highest talent-density team I’ve ever worked with. We're accelerating and scaling aggressively towards unlocking next-generation robot intelligence. Building Legos is just one example, and it's clear to me that we're headed towards a future where robots can do just about anything we want them to. Its coming, and we're going to make it happen.
1:01

This is one-shot assembly: you show examples of what to build, and the robot just does it. (see original post: To share more on how this works, the robot is controlled in real time by a neural network that takes in video pixels and outputs 100Hz actions. The video below is part of the raw input passed directly into the model. I also like this view (at 1x speed) because it shows more of the (I think very cool) subtle moments of dexterity near the fingertips 👌 One-shot assembly seemed like a dream even just a year ago — it's not easy. It requires both the high-level reasoning of "what to build" (recognizing the geometry of the structures presented by the human), and the low-level visuomotor control of "how to build it" (purposefully re-orienting individual pieces and nudging them together in place). While possible to manually engineer a complex system for this (e.g. w/ hierarchical control, or explicit state representations), we were curious if our own Foundation model could do it all end-to-end with just some post-training data. Surprisingly, it just worked. Nothing about the recipe is substantially different than any other demo we’ve run in the past, and we’re excited about its implications on model capabilities: • On contextual reasoning, these models can (i) attend to task-related pixels in the peripheral view of the video inputs, and (ii) retain this knowledge in-context while ignoring irrelevant background. This is useful for generalizing to a wide range of real workflows: e.g. paying attention to what’s coming down the conveyor line, or glancing at the instructions displayed on a nearby monitor. • On dexterity, these models can produce contact-rich "commonsense" behaviors that can be difficult to pre-program or write language instructions for e.g. rolling a brick slightly to align its studs against the bottom of another, re-grasping to get a better grip or to move out of the way before a forceful press, or gently pushing the corners of a brick against the mat to rotate it in hand and stand it up vertically (i.e. extrinsic dexterity). These aspects work together to form a capability that resembles fast adaptation — a hallmark of intelligence, relevant for real use cases. This has also expanded my own perspective on what's possible with robot learning, using a recipe that's repeatable for many more skills. This milestone stands on top of the solid technical foundations we’ve built here at Generalist: hardcore controls & hardware, all in-house built models, and a data engine that "just works." We're a small group of hyper-focused engineers, and hands-down the highest talent-density team I’ve ever worked with. We're accelerating and scaling aggressively towards unlocking next-generation robot intelligence. Building Legos is just one example, and it's clear to me that we're headed towards a future where robots can do just about anything we want them to. Its coming, and we're going to make it happen.

Andy Zeng

49,443 просмотров • 11 месяцев назад

Chapter 1 Pre-Alpha "Explore. Craft. Survive." will be dropping this quarter welcoming the very first inhabitants to #E2V1 & introduce early mechanics that will form the foundation of life inside #Earth2🌍✌️ Read below for important details: This update is no longer a simple avatar release but a significant update to the entire foundation of the #E2V1 world. When I first talked about dropping avatars I was eager to keep things moving and referred to a very simple system to test skins and movement, then to subsequently implement the full version after that. While this approach would have brought new content out quickly, it could have turned into weeks of extra development time with little upside for the wider community, apart from testing the movement and appearance of the avatars, there would have been little else to do until another subsequent update. Therefore I made the decision to focus solely on implementing the core part of the full system we plan to use long term on the platform. I apologise that this release will take a little longer than originally anticipated, having moved away from the initial lower spec'd plan, but I'd like to get this right & ready for a wider audience to start using and enjoying. As much as I'd love to push out updates faster, I will be taking this approach to #E2V1 development in the future as well. The plan will still be to release to our testing group first after our internal QA, test and then stabilise. If all looks good and we're happy with how everything is performing, we will push forward with a public release. There will inevitably be ongoing adjustments, additions and tweaks to these type of systems over time. It may seem like a long time, but #E2V1 was only released to our testing group 7 weeks ago! How crazy is that? I know for me it feels like many months already. Nonetheless, during this short period of time we have not only released a couple of updated versions, and an updated version to the Earth 2 Launcher, but the team has also been working incredibly hard on the #E2V1 and #BE mechanics for the Chapter 1 systems - and there is a lot involved in this upcoming release. We will be dropping an article later this week, which I believe will help our community understand the extensive list of features planned for this release and in turn explain why it is taking a little longer. I'd rather not spoil all of the details, but the article contains a lot of information about the various systems we're developing including rules of life, avatar synthesisation, death, saving, skins, day/night cycles, free to play model, avatar vitals, how land ownership fits in with all of this and much more. It is important to keep in mind that each of these systems needed to be designed and implemented, which takes time. The article will also begin to reveal some of the design plans I have been working on to increase utility for T1 land, which will also include various T1 classes. I also intend to follow through and expand utility on T1 land into other upcoming mechanics on the platform, some of which will be revealed in a separate article in the near future and are also part of the Chapter 1 release. Ideally, all going well, we will be testing early multiplayer at some stage this quarter and as mentioned earlier this year #Hordes in Q3, #EggHunt in Q4 & maybe some early buildings on properties. In addition to these goals, we have a couple of wild card features floating around in between as well. I know I reiterate it from time to time, but the long term goal for #Earth2 has not changed. We are building a #geolocational #metaverse - a platform! We still want #Players building cities, providing more individualised experiences, advertising, trading, shopping, e-commerce, socialising and so forth. And I still have plans to link #E2V1 into #AR and support #VR, but we cannot do all of this at once. I am also looking at ways we can expand the team and setup a studio, probably in East Asia, to speed up development. The current features we're focusing on plan to expand utility for land on a wide scale & introduce various experiences inside #E2V1, providing potential benefits for land owners & #Players alike on a broader level, while at the same time allowing our team to introduce mechanics that will be used throughout the future of the platform, test limitations and work our way around challenges as they arise. Thanks for reading and don't forget to drop a like and comment on the video! We appreciate the love and support and it also helps with the algorithm! Keep an eye out for the article later this week - a lot of details incoming! I want life to have meaning inside Earth 2 and I believe my approach could change the way #Players consider each action on the platform.. possibly alter the overall dynamics in a number of ways. #Metaverse #E2V1 #OpenWorld #earlyaccess #Earth2 $ESS
1:15

Chapter 1 Pre-Alpha "Explore. Craft. Survive." will be dropping this quarter welcoming the very first inhabitants to #E2V1 & introduce early mechanics that will form the foundation of life inside #Earth2🌍✌️ Read below for important details: This update is no longer a simple avatar release but a significant update to the entire foundation of the #E2V1 world. When I first talked about dropping avatars I was eager to keep things moving and referred to a very simple system to test skins and movement, then to subsequently implement the full version after that. While this approach would have brought new content out quickly, it could have turned into weeks of extra development time with little upside for the wider community, apart from testing the movement and appearance of the avatars, there would have been little else to do until another subsequent update. Therefore I made the decision to focus solely on implementing the core part of the full system we plan to use long term on the platform. I apologise that this release will take a little longer than originally anticipated, having moved away from the initial lower spec'd plan, but I'd like to get this right & ready for a wider audience to start using and enjoying. As much as I'd love to push out updates faster, I will be taking this approach to #E2V1 development in the future as well. The plan will still be to release to our testing group first after our internal QA, test and then stabilise. If all looks good and we're happy with how everything is performing, we will push forward with a public release. There will inevitably be ongoing adjustments, additions and tweaks to these type of systems over time. It may seem like a long time, but #E2V1 was only released to our testing group 7 weeks ago! How crazy is that? I know for me it feels like many months already. Nonetheless, during this short period of time we have not only released a couple of updated versions, and an updated version to the Earth 2 Launcher, but the team has also been working incredibly hard on the #E2V1 and #BE mechanics for the Chapter 1 systems - and there is a lot involved in this upcoming release. We will be dropping an article later this week, which I believe will help our community understand the extensive list of features planned for this release and in turn explain why it is taking a little longer. I'd rather not spoil all of the details, but the article contains a lot of information about the various systems we're developing including rules of life, avatar synthesisation, death, saving, skins, day/night cycles, free to play model, avatar vitals, how land ownership fits in with all of this and much more. It is important to keep in mind that each of these systems needed to be designed and implemented, which takes time. The article will also begin to reveal some of the design plans I have been working on to increase utility for T1 land, which will also include various T1 classes. I also intend to follow through and expand utility on T1 land into other upcoming mechanics on the platform, some of which will be revealed in a separate article in the near future and are also part of the Chapter 1 release. Ideally, all going well, we will be testing early multiplayer at some stage this quarter and as mentioned earlier this year #Hordes in Q3, #EggHunt in Q4 & maybe some early buildings on properties. In addition to these goals, we have a couple of wild card features floating around in between as well. I know I reiterate it from time to time, but the long term goal for #Earth2 has not changed. We are building a #geolocational #metaverse - a platform! We still want #Players building cities, providing more individualised experiences, advertising, trading, shopping, e-commerce, socialising and so forth. And I still have plans to link #E2V1 into #AR and support #VR, but we cannot do all of this at once. I am also looking at ways we can expand the team and setup a studio, probably in East Asia, to speed up development. The current features we're focusing on plan to expand utility for land on a wide scale & introduce various experiences inside #E2V1, providing potential benefits for land owners & #Players alike on a broader level, while at the same time allowing our team to introduce mechanics that will be used throughout the future of the platform, test limitations and work our way around challenges as they arise. Thanks for reading and don't forget to drop a like and comment on the video! We appreciate the love and support and it also helps with the algorithm! Keep an eye out for the article later this week - a lot of details incoming! I want life to have meaning inside Earth 2 and I believe my approach could change the way #Players consider each action on the platform.. possibly alter the overall dynamics in a number of ways. #Metaverse #E2V1 #OpenWorld #earlyaccess #Earth2 $ESS

Shane Isaac 🌍2️⃣

21,370 просмотров • 1 год назад

If an AI can control 1,000 robots to perform 1 million skills in 1 billion different simulations, then it may "just work" in our real world, which is simply another point in the vast space of possible realities. This is the fundamental principle behind why simulation works so effectively for robotics. Real-world teleoperation data scales linearly with human time (< 24 hrs/robot/day). Sim data scales exponentially with compute. There are 3 big trends for simulators in the near future: 1. Massive parallelization on large clusters. Physics equations are "just" matrix math at their core. I hear GPUs are good at matrix math 🔥. One can run 100K copies of simulation on a single GPU. To put this number in perspective: 1 hour of wallclock compute time gives a robot 10 years (!!) of training experience. That's how Neo was able to learn martial arts in a blink of an eye in the Matrix Dojo. 2. Generative graphics pipeline. Traditionally, simulators require a huge amount of manual effort from artists: 3D assets, textures, scene layouts, etc. But every component in the workflow can be automated: text-to-image, text-to-3D mesh, and LLMs that write Universal Scene Description (USD) files as a coding exercise. RoboCasa is one example of a prior work. 3. End2end neural net that acts as simulator itself. This is still bluesky research and quite far from replacing a graphics pipeline, but we are seeing some exciting signs-of-life based on video gen models: Sora, Veo2, CogVideoX, Hunyuan (text-to-video); and action-driven world models: GameNGen, Oasis, Genie-2, etc. Genesis does great on (1) for certain tasks, shows good promises on (2), and could become a data generation tool for reaching (3). Its sim2real capabilities for locomotion are good, but there's still a long way to go for contact-rich, dexterous manipulation. It shows a bold vision and is on the right path to providing a virtual cradle for embodied AI. It is open-source and puts a streamlined user journey at the front and center. I had the privilege to know Zhou Xian and play a small part in his project since a year ago. Xian has been crunching code non-stop on Genesis with a very small group of core devs. He often replied to my messages at 3 am. Zhenjia Xu from our GEAR team helped with sim2real experiments in his spare time. Genesis is truly a grassroot effort with an intense focus on quality engineering. Nothing gives me more joy than seeing the simulation ecosystem bloom. Robotics should be a moonshot initiative owned by all of humanity. Congratulations.
3:26

If an AI can control 1,000 robots to perform 1 million skills in 1 billion different simulations, then it may "just work" in our real world, which is simply another point in the vast space of possible realities. This is the fundamental principle behind why simulation works so effectively for robotics. Real-world teleoperation data scales linearly with human time (< 24 hrs/robot/day). Sim data scales exponentially with compute. There are 3 big trends for simulators in the near future: 1. Massive parallelization on large clusters. Physics equations are "just" matrix math at their core. I hear GPUs are good at matrix math 🔥. One can run 100K copies of simulation on a single GPU. To put this number in perspective: 1 hour of wallclock compute time gives a robot 10 years (!!) of training experience. That's how Neo was able to learn martial arts in a blink of an eye in the Matrix Dojo. 2. Generative graphics pipeline. Traditionally, simulators require a huge amount of manual effort from artists: 3D assets, textures, scene layouts, etc. But every component in the workflow can be automated: text-to-image, text-to-3D mesh, and LLMs that write Universal Scene Description (USD) files as a coding exercise. RoboCasa is one example of a prior work. 3. End2end neural net that acts as simulator itself. This is still bluesky research and quite far from replacing a graphics pipeline, but we are seeing some exciting signs-of-life based on video gen models: Sora, Veo2, CogVideoX, Hunyuan (text-to-video); and action-driven world models: GameNGen, Oasis, Genie-2, etc. Genesis does great on (1) for certain tasks, shows good promises on (2), and could become a data generation tool for reaching (3). Its sim2real capabilities for locomotion are good, but there's still a long way to go for contact-rich, dexterous manipulation. It shows a bold vision and is on the right path to providing a virtual cradle for embodied AI. It is open-source and puts a streamlined user journey at the front and center. I had the privilege to know Zhou Xian and play a small part in his project since a year ago. Xian has been crunching code non-stop on Genesis with a very small group of core devs. He often replied to my messages at 3 am. Zhenjia Xu from our GEAR team helped with sim2real experiments in his spare time. Genesis is truly a grassroot effort with an intense focus on quality engineering. Nothing gives me more joy than seeing the simulation ecosystem bloom. Robotics should be a moonshot initiative owned by all of humanity. Congratulations.

Jim Fan

157,343 просмотров • 1 год назад

Tlon Messenger is now open to everyone. We built a simple and infinitely flexible platform for you to use AI agents with your friends. We think it’s pretty amazing, we love using it every day, and we want to see what people can do with it. So we’re opening it up to the public. It’s fun and exciting to build the future of personal computing in an informal, chat-based way with your friends. (You can skip the rest and just download it from the link in the next tweet if you want.) If you don’t want your digital future to be owned by a giant company but you want to explore what’s possible in this new era of agent-driven computing, you should try using Tlon. But wait, what is it? Tlon is a messaging platform built 100% open source, decentralized and owned by its users from the ground up. With Tlon you own everything: your data, your workflows, your programs: the whole thing. Think of it like Telegram or WhatsApp that you own forever and you can freely customize. Every Tlon account comes with an OpenClaw-powered bot. (Don’t worry, we safely run OpenClaw for you in our infrastructure so your bot can’t go off the rails. You’re also welcome to host your own claw if you want maximal control.) We use our bots to collect research, build nuanced daily briefings, collate data from all our disparate services. Tlon makes it insanely easy to use OpenClaw by simply installing an app from the app store, we let you keep your data and programs independent from any app or model provider, and provide the canvas to explore what’s possible. What’s most interesting for us is using bots together. On Tlon bots can create groups, augment them, moderate them, invite others and freely engage with both users and other bots. Tlon is an open playing field unlike what’s possible on conventional platforms. So, what do we do with Tlon? First and foremost, we run Tlon on Tlon. Bots coordinate data from all of our services (Linear, GitHub, all of our servers and infrastructure) and handle alerts, briefings and help us track down bugs in place. Having all of this easily synced between a desktop client and a mobile app is quick and convenient. We use bots to research new areas of work or interest. Bots can compile trees of notes, use different models to evaluate them, and then add on autoresearch-like automations to go even deeper. Since Tlon bots can freely switch between models and providers, we often pass research to Anthropic, OpenAI and self-hosted models to see different results. The most fun part of using bots as researchers is doing it together. “Put together short (~500 word) notes on the 10 most popular open source messaging protocols of the past twenty years, put them in a notebook inside a group and invite Corrina, Walt and Bill as well as their bots” is a good example. Together we’re able to move more quickly than we would on our own. Many of us also use bots to keep track of all the separate threads of work in our personal lives with close friends and family. Someone built a system for keeping track of their garden across time, someone else built a system for prepping lunches for their daughter and sending recipes to family members. Another team member built an integration that tracks what flights are passing overhead so they get a push notification every time a plane goes by. Many of us quickly communicate with our bots via voice memo when we’re out and about. Having a single interface to all the models that also holds all our data and is in our pockets feels great. Especially when the data goes into a single archive. Why is Tlon different? Every Tlon account runs on top of your very own personal server. If you ever want to download it and run it yourself, you can. If we ever go out of business, it’s yours to keep. This is very different from anything that already exists. You can’t keep your WhatsApp forever. You can’t keep your Telegram forever. Tlon is an archival-quality system that’s yours to customize. Why did we build it? In my 1999 imagination, sitting in front of a CRT somewhere in the California countryside listening to Underworld and the sound of a modem, a connected computer was an engine of unending creative potential for everyone. When I was a teenager, a computer with an internet connection felt like an infinite expanse of possibility. Not only could you use the computer to find new tools to experiment with—you could also build whatever tool you could think of. It seemed like anything was possible. I looked forward to a future where everyone could build whatever software they needed, whenever they needed it. It turned out, in the intervening twenty years, that to build and customize software you have to both write code and host it on a server somewhere. For most people, so far, that has been impossible. Instead of controlling our software, our software controls us. We rely on others to build it and decide everything about it: how it works, looks, how much it spies on us and how long it lives. But all of this is changing, fast. The hottest programming language of 2026 is English. People with no technical experience are building their own tools. It’s incredible. The expanse has opened up again. The cost of building what we think of today as software is headed to zero. What yesterday was an entire app is rapidly being replaced by a conversation. The result is hyper-specific, tailored to the user and much more efficient. Today, agents help us build workflows, automate processes and pull together disparate sources of data. All of the annoying apps and services and clunky interface we’ve put up with can just disappear. We can now program and control our computers in the programming language we already know: English. There aren’t that many of us doing this yet, though. It’s still far too hard to set up, to distribute and to trust. There’s also no single platform to experiment on and collaboratively imagine this new future of personal computing. We want everyone to be able to build bespoke, ultra-personal software on demand. We think software should be as available and accessible as a pen and paper. We think anyone should be able to enjoy the expanse of possibility that the computer provides with the lowest possible barrier to entry and the highest possible quality. So, starting far, far too long ago, we engineered a whole new system for it. Just for you. We’re opening up Tlon Messenger to a limited number of people each week. This isn’t for exclusivity’s sake, but because we’re running infrastructure for you and your agent, and covering the tokens your agent uses. That can get expensive quickly, but we want to learn what people will do with this new system we’ve built. We’re really curious to see what you can do, so give it a try and tell us what you invent. Download link to your local app store in the next tweet. Yours, Galen (and the rest of the Tlon Team)
0:20

Tlon Messenger is now open to everyone. We built a simple and infinitely flexible platform for you to use AI agents with your friends. We think it’s pretty amazing, we love using it every day, and we want to see what people can do with it. So we’re opening it up to the public. It’s fun and exciting to build the future of personal computing in an informal, chat-based way with your friends. (You can skip the rest and just download it from the link in the next tweet if you want.) If you don’t want your digital future to be owned by a giant company but you want to explore what’s possible in this new era of agent-driven computing, you should try using Tlon. But wait, what is it? Tlon is a messaging platform built 100% open source, decentralized and owned by its users from the ground up. With Tlon you own everything: your data, your workflows, your programs: the whole thing. Think of it like Telegram or WhatsApp that you own forever and you can freely customize. Every Tlon account comes with an OpenClaw-powered bot. (Don’t worry, we safely run OpenClaw for you in our infrastructure so your bot can’t go off the rails. You’re also welcome to host your own claw if you want maximal control.) We use our bots to collect research, build nuanced daily briefings, collate data from all our disparate services. Tlon makes it insanely easy to use OpenClaw by simply installing an app from the app store, we let you keep your data and programs independent from any app or model provider, and provide the canvas to explore what’s possible. What’s most interesting for us is using bots together. On Tlon bots can create groups, augment them, moderate them, invite others and freely engage with both users and other bots. Tlon is an open playing field unlike what’s possible on conventional platforms. So, what do we do with Tlon? First and foremost, we run Tlon on Tlon. Bots coordinate data from all of our services (Linear, GitHub, all of our servers and infrastructure) and handle alerts, briefings and help us track down bugs in place. Having all of this easily synced between a desktop client and a mobile app is quick and convenient. We use bots to research new areas of work or interest. Bots can compile trees of notes, use different models to evaluate them, and then add on autoresearch-like automations to go even deeper. Since Tlon bots can freely switch between models and providers, we often pass research to Anthropic, OpenAI and self-hosted models to see different results. The most fun part of using bots as researchers is doing it together. “Put together short (~500 word) notes on the 10 most popular open source messaging protocols of the past twenty years, put them in a notebook inside a group and invite Corrina, Walt and Bill as well as their bots” is a good example. Together we’re able to move more quickly than we would on our own. Many of us also use bots to keep track of all the separate threads of work in our personal lives with close friends and family. Someone built a system for keeping track of their garden across time, someone else built a system for prepping lunches for their daughter and sending recipes to family members. Another team member built an integration that tracks what flights are passing overhead so they get a push notification every time a plane goes by. Many of us quickly communicate with our bots via voice memo when we’re out and about. Having a single interface to all the models that also holds all our data and is in our pockets feels great. Especially when the data goes into a single archive. Why is Tlon different? Every Tlon account runs on top of your very own personal server. If you ever want to download it and run it yourself, you can. If we ever go out of business, it’s yours to keep. This is very different from anything that already exists. You can’t keep your WhatsApp forever. You can’t keep your Telegram forever. Tlon is an archival-quality system that’s yours to customize. Why did we build it? In my 1999 imagination, sitting in front of a CRT somewhere in the California countryside listening to Underworld and the sound of a modem, a connected computer was an engine of unending creative potential for everyone. When I was a teenager, a computer with an internet connection felt like an infinite expanse of possibility. Not only could you use the computer to find new tools to experiment with—you could also build whatever tool you could think of. It seemed like anything was possible. I looked forward to a future where everyone could build whatever software they needed, whenever they needed it. It turned out, in the intervening twenty years, that to build and customize software you have to both write code and host it on a server somewhere. For most people, so far, that has been impossible. Instead of controlling our software, our software controls us. We rely on others to build it and decide everything about it: how it works, looks, how much it spies on us and how long it lives. But all of this is changing, fast. The hottest programming language of 2026 is English. People with no technical experience are building their own tools. It’s incredible. The expanse has opened up again. The cost of building what we think of today as software is headed to zero. What yesterday was an entire app is rapidly being replaced by a conversation. The result is hyper-specific, tailored to the user and much more efficient. Today, agents help us build workflows, automate processes and pull together disparate sources of data. All of the annoying apps and services and clunky interface we’ve put up with can just disappear. We can now program and control our computers in the programming language we already know: English. There aren’t that many of us doing this yet, though. It’s still far too hard to set up, to distribute and to trust. There’s also no single platform to experiment on and collaboratively imagine this new future of personal computing. We want everyone to be able to build bespoke, ultra-personal software on demand. We think software should be as available and accessible as a pen and paper. We think anyone should be able to enjoy the expanse of possibility that the computer provides with the lowest possible barrier to entry and the highest possible quality. So, starting far, far too long ago, we engineered a whole new system for it. Just for you. We’re opening up Tlon Messenger to a limited number of people each week. This isn’t for exclusivity’s sake, but because we’re running infrastructure for you and your agent, and covering the tokens your agent uses. That can get expensive quickly, but we want to learn what people will do with this new system we’ve built. We’re really curious to see what you can do, so give it a try and tell us what you invent. Download link to your local app store in the next tweet. Yours, Galen (and the rest of the Tlon Team)

Tlon

600,969 просмотров • 2 месяцев назад

Check out our latest #Earth2 #creation the #MotorwayMarauder🌍✌️From #ConceptArt to #gameready, gives me #MadMax & #Terminator vibes - love it! Some #IMPORTANT things to remember about #Earth2 #drops leading up to #E2V1👇 1⃣Acquiring #skins is completely optional 2⃣ Notably, the #skins we drop leading up to the #E2V1 release will more likely have a ‘Limited Supply’, something that rewards our early supporters with increased rarity. These Limited Supply drops will become less frequent in the future being replaced with drops of unlimited supply but restricted availability requiring Players to wait for a skin to become available in the skin store or hope to acquire it via game play inside #E2V1 3⃣ Our goal is not to have these early #skin drops sell out during their maiden release, but rather provide an opportunity for our early supporters to secure skins they like at a discounted price with the welcoming guarantee of an all time Limited Supply. 4⃣ Most of the early #skin drops will naturally allow #Players to resell them, but importantly many will also be assigned with a once ever discount rate. #Skins that have Future Price Reduction assigned with “No” means that if the #skin does not sell out on its maiden drop and subsequently gets listed in store again at a future date, #Earth2 will never resell that #skin at any discounted rate. 5⃣ #Earth2 is building a modular clothing system, meaning that most items of clothing, especially if sold separately, will be interchangeable on avatars making them more useful and giving the #Player more ways to mix up their outfits, look the part & express themselves. 6⃣ The version of the skin you see in store is the base version you receive with the skin, however, there will also be opportunities to tailor outfits in game allowing for the adjustment in fabrics, prints, colours and more (be prepared for a little legwork though, unless you want to take your clothing items to another #Player who specialises in tailoring). 7⃣ #Earth2 is proud to have uniquely designed the #skins you listed in our store & it is important to remember that these #skins are the end result of a long and stringent internal character pipeline we have developed. Each skin starts from concept art which is reviewed and iterated on numerous times before being approved. Once approval is given, it is handed to our 3D modelling team for sculpting into high poly, then low poly, while receiving numerous reviews and adhering to our pipeline protocols. When the low poly version is finished, the 3D team then finishes with UV mapping and texture baking and runs their own QA process. Once the entire 3D sculpting process is approved, the models enter the skinning, rigging and weight painting process and are then passed to the animation team for further testing with various animations and another set of QA such as minimising clipping and identifying any other potential flaws in the model. The model then needs to go through the final process with a game developer to ensure it passed the final tests and is game ready for #E2V1. 8⃣ The above steps only represent a light explanation of our character and clothing pipeline, but as you can see we’re not simply selling static concept art images or a high poly 3D model that lacks any kind of optimisations resulting in little chance of it ever being game ready in its advertised state - there is a lot of work that takes place in order to get these skins to the stage our #Players see them in the video footage. Each skin sold helps support different parts of the development of Earth 2 providing us with new opportunities to further expand our team, speed up development and keep stepping closer to our short and long term goals for #E2V1 and #Earth2. 9⃣ We understand that fashion will become a big part of the #Metaverse, but we want to remind people that while some #Players may decide to set rules for certain skins being required for access or a ticket to entry under certain circumstances, from #Earth2’s perspective these skins are for cosmetic purposes only. 🔟 These skin drops also give #Earth2 the chance to show off our ability and versatility in avatar creation and accessories so even if you’re not keen on picking up a skin, remember to have fun and simply enjoy the progress! Also take heart every time you see a #skindrop, if the #E2V1 pre-alpha was not launching this year I wouldn't be dropping skins. We want to have at least some diversity for #avatars inside #E2V1 from the early stages! #Earth2 #Metaverse #Skins #Fashion #Collectibles #3DWorld #WIP #prealpha2024
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Check out our latest #Earth2 #creation the #MotorwayMarauder🌍✌️From #ConceptArt to #gameready, gives me #MadMax & #Terminator vibes - love it! Some #IMPORTANT things to remember about #Earth2 #drops leading up to #E2V1👇 1⃣Acquiring #skins is completely optional 2⃣ Notably, the #skins we drop leading up to the #E2V1 release will more likely have a ‘Limited Supply’, something that rewards our early supporters with increased rarity. These Limited Supply drops will become less frequent in the future being replaced with drops of unlimited supply but restricted availability requiring Players to wait for a skin to become available in the skin store or hope to acquire it via game play inside #E2V1 3⃣ Our goal is not to have these early #skin drops sell out during their maiden release, but rather provide an opportunity for our early supporters to secure skins they like at a discounted price with the welcoming guarantee of an all time Limited Supply. 4⃣ Most of the early #skin drops will naturally allow #Players to resell them, but importantly many will also be assigned with a once ever discount rate. #Skins that have Future Price Reduction assigned with “No” means that if the #skin does not sell out on its maiden drop and subsequently gets listed in store again at a future date, #Earth2 will never resell that #skin at any discounted rate. 5⃣ #Earth2 is building a modular clothing system, meaning that most items of clothing, especially if sold separately, will be interchangeable on avatars making them more useful and giving the #Player more ways to mix up their outfits, look the part & express themselves. 6⃣ The version of the skin you see in store is the base version you receive with the skin, however, there will also be opportunities to tailor outfits in game allowing for the adjustment in fabrics, prints, colours and more (be prepared for a little legwork though, unless you want to take your clothing items to another #Player who specialises in tailoring). 7⃣ #Earth2 is proud to have uniquely designed the #skins you listed in our store & it is important to remember that these #skins are the end result of a long and stringent internal character pipeline we have developed. Each skin starts from concept art which is reviewed and iterated on numerous times before being approved. Once approval is given, it is handed to our 3D modelling team for sculpting into high poly, then low poly, while receiving numerous reviews and adhering to our pipeline protocols. When the low poly version is finished, the 3D team then finishes with UV mapping and texture baking and runs their own QA process. Once the entire 3D sculpting process is approved, the models enter the skinning, rigging and weight painting process and are then passed to the animation team for further testing with various animations and another set of QA such as minimising clipping and identifying any other potential flaws in the model. The model then needs to go through the final process with a game developer to ensure it passed the final tests and is game ready for #E2V1. 8⃣ The above steps only represent a light explanation of our character and clothing pipeline, but as you can see we’re not simply selling static concept art images or a high poly 3D model that lacks any kind of optimisations resulting in little chance of it ever being game ready in its advertised state - there is a lot of work that takes place in order to get these skins to the stage our #Players see them in the video footage. Each skin sold helps support different parts of the development of Earth 2 providing us with new opportunities to further expand our team, speed up development and keep stepping closer to our short and long term goals for #E2V1 and #Earth2. 9⃣ We understand that fashion will become a big part of the #Metaverse, but we want to remind people that while some #Players may decide to set rules for certain skins being required for access or a ticket to entry under certain circumstances, from #Earth2’s perspective these skins are for cosmetic purposes only. 🔟 These skin drops also give #Earth2 the chance to show off our ability and versatility in avatar creation and accessories so even if you’re not keen on picking up a skin, remember to have fun and simply enjoy the progress! Also take heart every time you see a #skindrop, if the #E2V1 pre-alpha was not launching this year I wouldn't be dropping skins. We want to have at least some diversity for #avatars inside #E2V1 from the early stages! #Earth2 #Metaverse #Skins #Fashion #Collectibles #3DWorld #WIP #prealpha2024

Shane Isaac 🌍2️⃣

19,007 просмотров • 2 лет назад