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New research project: Lluminate - an evolutionary algorithm that helps LLMs break free from generating predictable, similar outputs. Combining evolutionary principles with creative thinking strategies can illuminate the space of possibilities.

Joel Simon

6,127 subscribers

101,737 просмотров • 1 год назад •via X (Twitter)

Образование Наука и технологии Искусство

Anya Rossi• Live Now

Private livecam show

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Introducing ASAL: Automating the Search for Artificial Life with Foundation Models Artificial Life (ALife) research holds key insights that can transform and accelerate progress in AI. By speeding up ALife discovery with AI, we accelerate our understanding of emergence, evolution, and intelligence–core principles that can inspire the next generation of AI systems! We proudly collaborated with MIT, OpenAI, Swiss AI Lab IDSIA, and Ken Stanley on this exciting project. Full Paper (Website): Full Paper (arxiv): Code: In this work, we propose a new algorithm called Automated Search for Artificial Life (“ASAL”) to automate the discovery of artificial life using vision-language foundation models. Instead of tediously hand-designing every tiny rule of an Alife simulation, simply describe the space of simulations to search over, and ASAL will automatically discover the most interesting and open-ended artificial lifeforms! Because of the generality of foundation models, ASAL can discover new lifeforms across a diverse range of seminal ALife simulations, including Boids, Particle Life, Game of Life, Lenia, and Neural Cellular Automata. ASAL even discovered novel cellular automata rules that are more open-ended and expressive than the original Conway’s Game of Life. We believe this new paradigm may reignite ALife research by overcoming the bottleneck of manually designed simulations, thus advancing beyond the limits of human ingenuity.

Introducing ASAL: Automating the Search for Artificial Life with Foundation Models Artificial Life (ALife) research holds key insights that can transform and accelerate progress in AI. By speeding up ALife discovery with AI, we accelerate our understanding of emergence, evolution, and intelligence–core principles that can inspire the next generation of AI systems! We proudly collaborated with MIT, OpenAI, Swiss AI Lab IDSIA, and Ken Stanley on this exciting project. Full Paper (Website): Full Paper (arxiv): Code: In this work, we propose a new algorithm called Automated Search for Artificial Life (“ASAL”) to automate the discovery of artificial life using vision-language foundation models. Instead of tediously hand-designing every tiny rule of an Alife simulation, simply describe the space of simulations to search over, and ASAL will automatically discover the most interesting and open-ended artificial lifeforms! Because of the generality of foundation models, ASAL can discover new lifeforms across a diverse range of seminal ALife simulations, including Boids, Particle Life, Game of Life, Lenia, and Neural Cellular Automata. ASAL even discovered novel cellular automata rules that are more open-ended and expressive than the original Conway’s Game of Life. We believe this new paradigm may reignite ALife research by overcoming the bottleneck of manually designed simulations, thus advancing beyond the limits of human ingenuity.

Sakana AI

750,756 просмотров • 1 год назад

Every site has a story to scroll 📖 With the new Scroll-Triggered Animations, you can transform your site into an immersive narrative that keeps your users engaged. Create beautiful time-based animations with zero JS, all natively in CSS. Break free from static UI and create your story in minutes. #GoogleIO

Every site has a story to scroll 📖 With the new Scroll-Triggered Animations, you can transform your site into an immersive narrative that keeps your users engaged. Create beautiful time-based animations with zero JS, all natively in CSS. Break free from static UI and create your story in minutes. #GoogleIO

Chrome for Developers

12,135 просмотров • 2 месяцев назад

The Gemini 2.0 era is here. And we’re excited for you to start building with it. A quick rewind of what we just released ⏪ Gemini 2.0 Flash ⚡ comes with low latency and better performance. 🔵 You can now access an experimental version in G3mini on the web, while Gemini Advanced users can try Deep Research, a new AI research assistant. 🔵 Developers can begin building through the Gemini API in Google AI Studio and Vertex AI 2.0 is also enabling new research prototypes of AI agents, including: 🔵 Project Astra, which explores future capabilities of a universal AI assistant 🔵 Project Mariner, which shows what’s possible for human-agent interaction, starting with your browser 🔵 Jules, an experimental AI-powered coding agent Finally, we’re exploring how 2.0 can be used in agents across domains — from navigating the virtual world of video games to applying its spatial reasoning capabilities to robotics. 🤖

The Gemini 2.0 era is here. And we’re excited for you to start building with it. A quick rewind of what we just released ⏪ Gemini 2.0 Flash ⚡ comes with low latency and better performance. 🔵 You can now access an experimental version in G3mini on the web, while Gemini Advanced users can try Deep Research, a new AI research assistant. 🔵 Developers can begin building through the Gemini API in Google AI Studio and Vertex AI 2.0 is also enabling new research prototypes of AI agents, including: 🔵 Project Astra, which explores future capabilities of a universal AI assistant 🔵 Project Mariner, which shows what’s possible for human-agent interaction, starting with your browser 🔵 Jules, an experimental AI-powered coding agent Finally, we’re exploring how 2.0 can be used in agents across domains — from navigating the virtual world of video games to applying its spatial reasoning capabilities to robotics. 🤖

Google DeepMind

231,798 просмотров • 1 год назад

We’ve released two new updates on Stable Assistant! ♻️Reinvent: Bring together existing tools such as “new image with same structure” and other generation tools. This new menu is designed to make it easier to reapply the same creative treatment to your images with just a few clicks. ✖️Batch: Generate multiple new versions of an image, apply edits across all creations, or even reinvent them with the same adjustments. Whether you're zooming out, inpainting, or working with structured designs, Batch helps you make consistent edits across your entire project. 🔗 Explore these new features with a 3-day free trial on Stable Assistant:

We’ve released two new updates on Stable Assistant! ♻️Reinvent: Bring together existing tools such as “new image with same structure” and other generation tools. This new menu is designed to make it easier to reapply the same creative treatment to your images with just a few clicks. ✖️Batch: Generate multiple new versions of an image, apply edits across all creations, or even reinvent them with the same adjustments. Whether you're zooming out, inpainting, or working with structured designs, Batch helps you make consistent edits across your entire project. 🔗 Explore these new features with a 3-day free trial on Stable Assistant:

Stability AI

25,355 просмотров • 1 год назад

The Sabotaging Practice of Over Supply and Sameness in the NFT Space. The current zeitgeist of the NFT space is that the same artists are doing the same kind of work five times a year, with project after project leaving a trail of disappointment and discontent among collectors and all of us watching in disbelief as huge resources are extracted from the space over work that feels like it could be left as an "artist study." I understand that you can do what you want with your money as collectors, but we are killing the whole space with this incestuous practice. No artist is that prolific to be able to do 5 collections of 100+ pieces each every year and actually deliver innovation and some kind of creative evolution. Of course, they can pretend play that the work has something new, but there is no precedent nor proof that that has ever happened in the speed that it happens in the NFT space. Again, people are free to through away their resources on whatever they want but with this way of doing things, we more and more are going to start seeing the consequences. Oh! There are consequences? Yes. Maybe unintended, but there are. Let's see. Let's start with the loss of belief in the NFT space as somewhere where emerging artists can come and find support for their experiments. Why even bother to bring experiments, innovation, and new ways to think of art on the blockchain if the same people have all the collectors hypnotized with their magical flutes? Why even try to come to a space where taking risks and challenging the status quo (the mission of art!!!) is overlooked? This makes the NFT space a social club and not a space for art. I guess it is fine, but IMO it is a recipe for disaster. New collectors stay away because the art will slowly but surely become stale and un-challenging. Why even bother to come and see what is happening here if you can't, as a collector, see new weird and up-and-coming artists? The amount of noise emitted by the same artists doing the same art over and over, drowns out any new voices. Again. A recipe for disaster. The NFT space is becoming a space of disappointment and doubt. We think that collections going to zero one after the other, over and over, is not damaging? I feel we are kidding ourselves. Disappointment piles up, and again, the people who will hurt are the emerging artists, the new blood, the ones who are willing to risk the most and, in return, put fire in this cold space of sameness. I love this space—don't get me wrong—it has changed my life, and I believe it has a ton of potential, but things need to change for it to become a beacon of light in art. But we need to support new voices. We need to support new ideas. The challenge is huge. I hope to contribute all I can to this change. I hope more and more see how exciting it is to go out and try to discover what else is out there and move this space forward. But again, I understand the leaps of faith needed, but if there is a space that is based on that, it's the NFT space...so there is hope. We will see. 📺by Boldtron

The Sabotaging Practice of Over Supply and Sameness in the NFT Space. The current zeitgeist of the NFT space is that the same artists are doing the same kind of work five times a year, with project after project leaving a trail of disappointment and discontent among collectors and all of us watching in disbelief as huge resources are extracted from the space over work that feels like it could be left as an "artist study." I understand that you can do what you want with your money as collectors, but we are killing the whole space with this incestuous practice. No artist is that prolific to be able to do 5 collections of 100+ pieces each every year and actually deliver innovation and some kind of creative evolution. Of course, they can pretend play that the work has something new, but there is no precedent nor proof that that has ever happened in the speed that it happens in the NFT space. Again, people are free to through away their resources on whatever they want but with this way of doing things, we more and more are going to start seeing the consequences. Oh! There are consequences? Yes. Maybe unintended, but there are. Let's see. Let's start with the loss of belief in the NFT space as somewhere where emerging artists can come and find support for their experiments. Why even bother to bring experiments, innovation, and new ways to think of art on the blockchain if the same people have all the collectors hypnotized with their magical flutes? Why even try to come to a space where taking risks and challenging the status quo (the mission of art!!!) is overlooked? This makes the NFT space a social club and not a space for art. I guess it is fine, but IMO it is a recipe for disaster. New collectors stay away because the art will slowly but surely become stale and un-challenging. Why even bother to come and see what is happening here if you can't, as a collector, see new weird and up-and-coming artists? The amount of noise emitted by the same artists doing the same art over and over, drowns out any new voices. Again. A recipe for disaster. The NFT space is becoming a space of disappointment and doubt. We think that collections going to zero one after the other, over and over, is not damaging? I feel we are kidding ourselves. Disappointment piles up, and again, the people who will hurt are the emerging artists, the new blood, the ones who are willing to risk the most and, in return, put fire in this cold space of sameness. I love this space—don't get me wrong—it has changed my life, and I believe it has a ton of potential, but things need to change for it to become a beacon of light in art. But we need to support new voices. We need to support new ideas. The challenge is huge. I hope to contribute all I can to this change. I hope more and more see how exciting it is to go out and try to discover what else is out there and move this space forward. But again, I understand the leaps of faith needed, but if there is a space that is based on that, it's the NFT space...so there is hope. We will see. 📺by Boldtron

alejandro cartagena

98,261 просмотров • 2 лет назад

Meta's new Andromeda algorithm just killed the old playbook. And most media buyers are still running 2023 strategies. I spent the last 3 months testing Meta's new system with brands spending $50k-$500k/month. Here's what changed: Meta now punishes accounts that rely on single winning ads. The algorithm actively rewards creative diversity and specific account structures that 90% of advertisers don't understand. I documented the complete Andromeda playbook that covers: → The 15-20 creative diversity rule (and how to produce it without burning out) → The 3-second similarity detection hack Meta revealed in their workshop → CPM reduction tactics that cut costs by 40-54% → Intraday scaling framework that 12x'd revenue during peak hours → Account structure consolidation (why your 10+ campaigns are killing performance) → Bid cap conditioning strategy with exact numbers → Black Friday acceleration protocol (hour-by-hour playbook) If you're running Meta ads and want to scale profitably in 2025, this is everything you need. -Like this post and comment "ANDROMEDA" -Follow me I'll DM you the full playbook for FREE. P.S. - Repost this for priority access

Meta's new Andromeda algorithm just killed the old playbook. And most media buyers are still running 2023 strategies. I spent the last 3 months testing Meta's new system with brands spending $50k-$500k/month. Here's what changed: Meta now punishes accounts that rely on single winning ads. The algorithm actively rewards creative diversity and specific account structures that 90% of advertisers don't understand. I documented the complete Andromeda playbook that covers: → The 15-20 creative diversity rule (and how to produce it without burning out) → The 3-second similarity detection hack Meta revealed in their workshop → CPM reduction tactics that cut costs by 40-54% → Intraday scaling framework that 12x'd revenue during peak hours → Account structure consolidation (why your 10+ campaigns are killing performance) → Bid cap conditioning strategy with exact numbers → Black Friday acceleration protocol (hour-by-hour playbook) If you're running Meta ads and want to scale profitably in 2025, this is everything you need. -Like this post and comment "ANDROMEDA" -Follow me I'll DM you the full playbook for FREE. P.S. - Repost this for priority access

Marco - eCom & Performance Creatives

57,819 просмотров • 9 месяцев назад

Wow! Look how in Kazakhstan they undermine the ice on the rivers (very similar to the frames from the movie) The video shows the Bukhtarma River in the Altai region of northern Kazakhstan. The ice on it was blown up to protect people and their homes from floods. In spring, ice can accumulate in narrow places in the river, creating blockages - water cannot flow freely, the level rises, and flooding begins. Blasting helps break up the ice so that it moves downstream faster and does not interfere with the water.

Wow! Look how in Kazakhstan they undermine the ice on the rivers (very similar to the frames from the movie) The video shows the Bukhtarma River in the Altai region of northern Kazakhstan. The ice on it was blown up to protect people and their homes from floods. In spring, ice can accumulate in narrow places in the river, creating blockages - water cannot flow freely, the level rises, and flooding begins. Blasting helps break up the ice so that it moves downstream faster and does not interfere with the water.

NEXTA

1,965,555 просмотров • 1 год назад

🎬✨ New video from the filming set of #Delikanlı The excitement from fans keeps growing, and visits around the set are becoming more frequent. In the video, we can see the team filming a scene that looks like an inauguration or special event, with several extras taking part in the moment. We truly appreciate those who share these glimpses from the set with us. 🤍 Our boy is giving all his talent and dedication so we can soon enjoy his new project — and we are more than ready to support him every step of the way. ✨ #MertRamazanDemir

🎬✨ New video from the filming set of #Delikanlı The excitement from fans keeps growing, and visits around the set are becoming more frequent. In the video, we can see the team filming a scene that looks like an inauguration or special event, with several extras taking part in the moment. We truly appreciate those who share these glimpses from the set with us. 🤍 Our boy is giving all his talent and dedication so we can soon enjoy his new project — and we are more than ready to support him every step of the way. ✨ #MertRamazanDemir

Mert Ramazan Demir World FC

10,285 просмотров • 4 месяцев назад

Your baby is adorable by design. Those big eyes. Those chubby little cheeks. That sweet smile… Indeed, science suggests that babies’ cuteness is designed to stimulate caregiving responses in the parental brain… protecting infants and making them more likely to survive from an evolutionary perspective. And it’s not just their visual appeal. Research suggests that cuteness is actually a multi-sensory experience, with children’s early vocalizations and even that great “new baby smell” all contributing to our desire to protect and care for them. Put simply, newborns have a biological ability to wrap us right around their fingers. It’s a superpower really. This precious little one was shared to IG by _lullaby_luxuries_.

Your baby is adorable by design. Those big eyes. Those chubby little cheeks. That sweet smile… Indeed, science suggests that babies’ cuteness is designed to stimulate caregiving responses in the parental brain… protecting infants and making them more likely to survive from an evolutionary perspective. And it’s not just their visual appeal. Research suggests that cuteness is actually a multi-sensory experience, with children’s early vocalizations and even that great “new baby smell” all contributing to our desire to protect and care for them. Put simply, newborns have a biological ability to wrap us right around their fingers. It’s a superpower really. This precious little one was shared to IG by _lullaby_luxuries_.

Dan Wuori

51,240 просмотров • 1 год назад

Day 11/90 of Inference Engineering How does vLLM work and how is it used in production? Before we discuss how vLLM works internally, it helps to understand what vLLM is. At a high level, vLLM is an inference engine that is designed to serve LLMs to thousands of concurrent users efficiently while managing scarce compute and memory. The goal for vLLM is to maximize throughput and minimize latency; optimizing for the best inference economics and experience for end users. With every request from the end user, it eventually ends up in the engine core, gets scheduled alongside other requests from other concurrent users, executes on the GPU, and updates the KV cache with the new key and value vectors, and streams the tokens back to the user. The Scheduler decides what requests should execute next while continuously batching requests together to maximize GPU utilization. Continuous batching is an inference optimization that allows new requests to join a running batch as other requests finish generating tokens. This helps with keeping the GPU utilization high instead of letting it sit idle waiting for an entire batch to complete generating. After the scheduler dispatches the selected batch to the Model Executor, the Model Executor prepares the tensors and metadata required for inference, retrieves each request’s block table from KV Cache Manager, launches the optimized transformer forward pass on the GPU, computes the logits, updates the KV cache with the new key and value vectors, and finally returns the results for sampling and streaming. The KV Cache Manager uses the PagedAttention memory layout to allocate fixed-size cache blocks on demand and maintains a Free Block Queue on the CPU that tracks which blocks in the GPU’s Paged KV Cache are currently free. When a request needs additional KV cache space, the KV Cache manager takes a free block from the queue and assigns it to that request, thus avoiding an expensive search through GPU memory for available cache blocks. All of these components form the core of vLLM’s inference engine. The Scheduler determines what requests are executed, the Model Executor determines how those requests are executed, the KV Cache Manager determines where each request’s KV cache lives using the PagedAttention Memory Layout. This architecture enables vLLM to serve thousands of concurrent requests with high throughput, low latency, and efficient GPU memory utilization. Heres a little animation that visualizes everything! - I've also completed the forward pass for my mnist.c project. I had a nice chat with shrey birmiwal, such a knowledgeable guy. Excited to learn more about vLLM and implement a tiny-vLLM one day.

Day 11/90 of Inference Engineering How does vLLM work and how is it used in production? Before we discuss how vLLM works internally, it helps to understand what vLLM is. At a high level, vLLM is an inference engine that is designed to serve LLMs to thousands of concurrent users efficiently while managing scarce compute and memory. The goal for vLLM is to maximize throughput and minimize latency; optimizing for the best inference economics and experience for end users. With every request from the end user, it eventually ends up in the engine core, gets scheduled alongside other requests from other concurrent users, executes on the GPU, and updates the KV cache with the new key and value vectors, and streams the tokens back to the user. The Scheduler decides what requests should execute next while continuously batching requests together to maximize GPU utilization. Continuous batching is an inference optimization that allows new requests to join a running batch as other requests finish generating tokens. This helps with keeping the GPU utilization high instead of letting it sit idle waiting for an entire batch to complete generating. After the scheduler dispatches the selected batch to the Model Executor, the Model Executor prepares the tensors and metadata required for inference, retrieves each request’s block table from KV Cache Manager, launches the optimized transformer forward pass on the GPU, computes the logits, updates the KV cache with the new key and value vectors, and finally returns the results for sampling and streaming. The KV Cache Manager uses the PagedAttention memory layout to allocate fixed-size cache blocks on demand and maintains a Free Block Queue on the CPU that tracks which blocks in the GPU’s Paged KV Cache are currently free. When a request needs additional KV cache space, the KV Cache manager takes a free block from the queue and assigns it to that request, thus avoiding an expensive search through GPU memory for available cache blocks. All of these components form the core of vLLM’s inference engine. The Scheduler determines what requests are executed, the Model Executor determines how those requests are executed, the KV Cache Manager determines where each request’s KV cache lives using the PagedAttention Memory Layout. This architecture enables vLLM to serve thousands of concurrent requests with high throughput, low latency, and efficient GPU memory utilization. Heres a little animation that visualizes everything! - I've also completed the forward pass for my mnist.c project. I had a nice chat with shrey birmiwal, such a knowledgeable guy. Excited to learn more about vLLM and implement a tiny-vLLM one day.

max fu

69,880 просмотров • 12 дней назад

Can you do it?! 💪 Embrace mobility – not just in the body, but in life! Trying new things and challenging yourself are the keys to unlocking untapped potential because these are the stepping stones to self-discovery and personal evolution. Imagine life as an endless playground with opportunities waiting around every corner. When we try new things, we break free from the confines of routine and familiarity. Challenging ourselves is where the magic happens. With each challenge conquered, we unveil a new layer of resilience and a stronger version of ourselves. The importance of mobility extends beyond the physical realm – it’s also a mindset that fuels personal growth. 🚀

Can you do it?! 💪 Embrace mobility – not just in the body, but in life! Trying new things and challenging yourself are the keys to unlocking untapped potential because these are the stepping stones to self-discovery and personal evolution. Imagine life as an endless playground with opportunities waiting around every corner. When we try new things, we break free from the confines of routine and familiarity. Challenging ourselves is where the magic happens. With each challenge conquered, we unveil a new layer of resilience and a stronger version of ourselves. The importance of mobility extends beyond the physical realm – it’s also a mindset that fuels personal growth. 🚀

Janna Breslin

19,905 просмотров • 2 лет назад

🔥 REPORTER OF - UNLOCKING NEW RESEARCH DIMENSION 🔥 Say hello to our newest feature - Reporter of - where your research standard will be raised to the next level! 👉 Be the first explorer: ▪️ One page only: All needed data gathering to conquer game world ▪️ Highly comparable: Determine project's ranking ▪️ Bulk coverage: Available all alive profiles ▪️ Real-time data: Aped a bag of coins in time Let become your trusted assistant with an in-depth understanding of all aspects, regardless of your decisions ✨ Remember that Reporter will be key factor that helps you kill all tasks from Sunshine Era, Mission Arise:

🔥 REPORTER OF - UNLOCKING NEW RESEARCH DIMENSION 🔥 Say hello to our newest feature - Reporter of - where your research standard will be raised to the next level! 👉 Be the first explorer: ▪️ One page only: All needed data gathering to conquer game world ▪️ Highly comparable: Determine project's ranking ▪️ Bulk coverage: Available all alive profiles ▪️ Real-time data: Aped a bag of coins in time Let become your trusted assistant with an in-depth understanding of all aspects, regardless of your decisions ✨ Remember that Reporter will be key factor that helps you kill all tasks from Sunshine Era, Mission Arise:

GAMEFI.ORG

48,481 просмотров • 3 лет назад

LongWriter Unleashing 10,000+ Word Generation from Long Context LLMs discuss: Current long context large language models (LLMs) can process inputs up to 100,000 tokens, yet struggle to generate outputs exceeding even a modest length of 2,000 words. Through controlled experiments, we find that the model's effective generation length is inherently bounded by the sample it has seen during supervised fine-tuning (SFT). In other words, their output limitation is due to the scarcity of long-output examples in existing SFT datasets. To address this, we introduce AgentWrite, an agent-based pipeline that decomposes ultra-long generation tasks into subtasks, enabling off-the-shelf LLMs to generate coherent outputs exceeding 20,000 words. Leveraging AgentWrite, we construct LongWriter-6k, a dataset containing 6,000 SFT data with output lengths ranging from 2k to 32k words. By incorporating this dataset into model training, we successfully scale the output length of existing models to over 10,000 words while maintaining output quality. We also develop LongBench-Write, a comprehensive benchmark for evaluating ultra-long generation capabilities. Our 9B parameter model, further improved through DPO, achieves state-of-the-art performance on this benchmark, surpassing even much larger proprietary models. In general, our work demonstrates that existing long context LLM already possesses the potential for a larger output window--all you need is data with extended output during model alignment to unlock this capability.

LongWriter Unleashing 10,000+ Word Generation from Long Context LLMs discuss: Current long context large language models (LLMs) can process inputs up to 100,000 tokens, yet struggle to generate outputs exceeding even a modest length of 2,000 words. Through controlled experiments, we find that the model's effective generation length is inherently bounded by the sample it has seen during supervised fine-tuning (SFT). In other words, their output limitation is due to the scarcity of long-output examples in existing SFT datasets. To address this, we introduce AgentWrite, an agent-based pipeline that decomposes ultra-long generation tasks into subtasks, enabling off-the-shelf LLMs to generate coherent outputs exceeding 20,000 words. Leveraging AgentWrite, we construct LongWriter-6k, a dataset containing 6,000 SFT data with output lengths ranging from 2k to 32k words. By incorporating this dataset into model training, we successfully scale the output length of existing models to over 10,000 words while maintaining output quality. We also develop LongBench-Write, a comprehensive benchmark for evaluating ultra-long generation capabilities. Our 9B parameter model, further improved through DPO, achieves state-of-the-art performance on this benchmark, surpassing even much larger proprietary models. In general, our work demonstrates that existing long context LLM already possesses the potential for a larger output window--all you need is data with extended output during model alignment to unlock this capability.

AK

50,995 просмотров • 1 год назад

Inviting early testers and contributors to Project Devika - The open-source alternative to Devin. 👩‍💻 As of now, Devika is far from the capabilities of Devin... but we'll eventually get there. So I am calling the open-source community to join forces! ❤️ Features: - 12 Agentic models that can interact with each other in a feedback loop to understand, browse, research, code, document, and make decisions according to the user's query to complete a project. - Supports Claude 3, GPT-4, GPT-3.5, and Local LLMs via ollama. - Devika can run the code she writes and fix/patch the code herself if she encounters any errors without user intervention. - Devika can deploy static websites she creates on Netlify. (Experimental) - And much more... Will be doing an official launch after intensive testing and bug fixes. 🙌 I've created a Discord server for the early testers and contributors. If you're interested in joining the team, reply to this tweet and I will DM you the invite link. #buildinpublic

Inviting early testers and contributors to Project Devika - The open-source alternative to Devin. 👩‍💻 As of now, Devika is far from the capabilities of Devin... but we'll eventually get there. So I am calling the open-source community to join forces! ❤️ Features: - 12 Agentic models that can interact with each other in a feedback loop to understand, browse, research, code, document, and make decisions according to the user's query to complete a project. - Supports Claude 3, GPT-4, GPT-3.5, and Local LLMs via ollama. - Devika can run the code she writes and fix/patch the code herself if she encounters any errors without user intervention. - Devika can deploy static websites she creates on Netlify. (Experimental) - And much more... Will be doing an official launch after intensive testing and bug fixes. 🙌 I've created a Discord server for the early testers and contributors. If you're interested in joining the team, reply to this tweet and I will DM you the invite link. #buildinpublic

mufeed vh

155,013 просмотров • 2 лет назад

🚨 CHINA JUST UNVEILED THE WORLD’S FASTEST QUANTUM COMPUTER Chinese scientists have developed a new quantum computer prototype called Jiuzhang 4.0 capable of solving calculations in microseconds that would reportedly take the world’s most powerful supercomputer longer than the age of the universe to complete. The system uses photons particles of light instead of traditional electronic circuits. Why this matters: Normal computers process information step-by-step. Quantum computers can explore enormous numbers of possibilities simultaneously using quantum superposition. Jiuzhang 4.0 reportedly manipulated over 3,000 photons a massive leap from previous generations. Scientists say this breakthrough could eventually impact: • AI • cryptography • drug discovery • climate simulations • advanced materials • space technology • future physics research The real race of the 21st century may not be space… It may be quantum computation. Follow for more future technology and physics breakthroughs.

🚨 CHINA JUST UNVEILED THE WORLD’S FASTEST QUANTUM COMPUTER Chinese scientists have developed a new quantum computer prototype called Jiuzhang 4.0 capable of solving calculations in microseconds that would reportedly take the world’s most powerful supercomputer longer than the age of the universe to complete. The system uses photons particles of light instead of traditional electronic circuits. Why this matters: Normal computers process information step-by-step. Quantum computers can explore enormous numbers of possibilities simultaneously using quantum superposition. Jiuzhang 4.0 reportedly manipulated over 3,000 photons a massive leap from previous generations. Scientists say this breakthrough could eventually impact: • AI • cryptography • drug discovery • climate simulations • advanced materials • space technology • future physics research The real race of the 21st century may not be space… It may be quantum computation. Follow for more future technology and physics breakthroughs.

TheNewPhysics

12,921 просмотров • 2 месяцев назад

FLORA is growing our founding team. We're hiring Design Engineers, Full-stack Engineers, and a Head of Growth, all based in NYC. Founded out of a creative technology graduate program at NYU ITP, FLORA is an applied HCI company with a mission to make it possible to speak your ideas into existence. We started FLORA because we believe AI creative tools should be more than toys for generating AI slop. We are obsessed with building a power tool that will profoundly shape the future of creative work. We’re backed by A16Z GAMES, Long Journey, Menlo Ventures, Comma Capital, Matt Hartman, Coho Deeptech, Embedding VC, and angels from Midjourney, Stability, Facebook AI Research Lab, Together AI and more. FLORA is a team of designers, researchers, engineers, creative technologists, and musicians pushing the boundaries of generative media. We host art & tech events and are are deeply rooted in the NYC art & tech scene (such as our launch party in this tweet's video). If you're interested in joining us, see the link below or comment/DM.

FLORA is growing our founding team. We're hiring Design Engineers, Full-stack Engineers, and a Head of Growth, all based in NYC. Founded out of a creative technology graduate program at NYU ITP, FLORA is an applied HCI company with a mission to make it possible to speak your ideas into existence. We started FLORA because we believe AI creative tools should be more than toys for generating AI slop. We are obsessed with building a power tool that will profoundly shape the future of creative work. We’re backed by A16Z GAMES, Long Journey, Menlo Ventures, Comma Capital, Matt Hartman, Coho Deeptech, Embedding VC, and angels from Midjourney, Stability, Facebook AI Research Lab, Together AI and more. FLORA is a team of designers, researchers, engineers, creative technologists, and musicians pushing the boundaries of generative media. We host art & tech events and are are deeply rooted in the NYC art & tech scene (such as our launch party in this tweet's video). If you're interested in joining us, see the link below or comment/DM.

FLORA ©

25,824 просмотров • 1 год назад

In my world, being a Mistress is not a role you play, but an extension of who you are. It is the boldest version of us that leads from a place of Sovereignty. It is the Woman behind the persona, behind the limiting beliefs, under the layers of good girl conditioning. The Mıstress is the embodiment of that side of ourself that we have given permission to do what the fuck she desires, without apologizing, without asking for permission, without first thinking of 'what would people think'. She is Free from the invisible restraints holding us back from taking up the space that is ours, from speaking up our truth and from creating a life based on our desires. She is a Leader who first leads Herself. And most importantly, She is a Woman of Influence. If you want to be part of a community of Mıstresses (from that definition) I recommend joining DOMME SPACE. Tomorrow we are having a Masterclass on Mıstress Leadership you won't want to miss! That space is for Visionary Leaders of all walks of life. Professional Dommes, Lifestyle Dommes, Women on a mission, curious Women who are on a path of exploring the depth of their power, Business Women and Women who love being in a femme-powered room filled with other badass Women. Message me to get in, so we can start planning your next moves.

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In my world, being a Mistress is not a role you play, but an extension of who you are. It is the boldest version of us that leads from a place of Sovereignty. It is the Woman behind the persona, behind the limiting beliefs, under the layers of good girl conditioning. The Mıstress is the embodiment of that side of ourself that we have given permission to do what the fuck she desires, without apologizing, without asking for permission, without first thinking of 'what would people think'. She is Free from the invisible restraints holding us back from taking up the space that is ours, from speaking up our truth and from creating a life based on our desires. She is a Leader who first leads Herself. And most importantly, She is a Woman of Influence. If you want to be part of a community of Mıstresses (from that definition) I recommend joining DOMME SPACE. Tomorrow we are having a Masterclass on Mıstress Leadership you won't want to miss! That space is for Visionary Leaders of all walks of life. Professional Dommes, Lifestyle Dommes, Women on a mission, curious Women who are on a path of exploring the depth of their power, Business Women and Women who love being in a femme-powered room filled with other badass Women. Message me to get in, so we can start planning your next moves.

Ms. Malissia

56,619 просмотров • 2 лет назад

❇️This is what need is called the mother of the invention💔 When you are a mechatronics engineer, you should not stop thinking. I succeeded in making a simple idea in making a gas ignited by wood and plastic, a simple idea that helps our people in the Gaza Strip, in the way of violent bombing and in misleading insecurity, but our minds are still innovating and thinking of meeting the need with the least capacity. This gas consists of a battery and a small fan like a computer fan and an iron frame, but we still need your donation and help us provide living possibilities for our children who suffer from hunger, fear and constant bombing Please share and donate here 🔗🙏👇 ( 💔💔 Will 🦥 Menaker Saul Williams Solidarity with Palestine ★ Lowkey leila Tim Walker

❇️This is what need is called the mother of the invention💔 When you are a mechatronics engineer, you should not stop thinking. I succeeded in making a simple idea in making a gas ignited by wood and plastic, a simple idea that helps our people in the Gaza Strip, in the way of violent bombing and in misleading insecurity, but our minds are still innovating and thinking of meeting the need with the least capacity. This gas consists of a battery and a small fan like a computer fan and an iron frame, but we still need your donation and help us provide living possibilities for our children who suffer from hunger, fear and constant bombing Please share and donate here 🔗🙏👇 ( 💔💔 Will 🦥 Menaker Saul Williams Solidarity with Palestine ★ Lowkey leila Tim Walker

‏🇵🇸Amjad Iyad from gaza🇱🇧

12,462 просмотров • 1 год назад

Thank you to the millions of players who have made the Settled Systems their home and helped make this an incredible first year for Starfield. We have much more coming, beginning with our first story expansion, Shattered Space, releasing September 30. Here's a bit of what you can expect when Shattered Space launches: 🪐 Over 50 new locations to discover and explore across Va'ruun'kai 🔥 New grenades to craft that stem from organic material you gather (and it's gross) 👾 Formidable new enemies - be on your guard for Redeemed and Vortex Horrors... ⚔️ You haven't seen the last of Zealots, Spacers, or the Crimson Fleet... As you explore the planet be on the lookout for those taking advantage of the situation. Stay tuned - we'll share more about #Starfield's Shattered Space soon.

Thank you to the millions of players who have made the Settled Systems their home and helped make this an incredible first year for Starfield. We have much more coming, beginning with our first story expansion, Shattered Space, releasing September 30. Here's a bit of what you can expect when Shattered Space launches: 🪐 Over 50 new locations to discover and explore across Va'ruun'kai 🔥 New grenades to craft that stem from organic material you gather (and it's gross) 👾 Formidable new enemies - be on your guard for Redeemed and Vortex Horrors... ⚔️ You haven't seen the last of Zealots, Spacers, or the Crimson Fleet... As you explore the planet be on the lookout for those taking advantage of the situation. Stay tuned - we'll share more about #Starfield's Shattered Space soon.

Bethesda Game Studios

392,132 просмотров • 1 год назад