Vector institute introduced The Matrix: a foundation world model for generating infinite-length, hyper-realistic videos with real-time, frame-level control:
- Infinite-length video generation
- 720p high-quality rendering
- Real-time, frame-level control at 16 FPS
- Generalization to real-world video control.
Key Innovation: A brand new technique called the shift-window denoise process model, enabling auto-regressive generation for diffusion and consistency models in real-time.
Special thanks to project leader Ruili Feng and the entire Matrix team for their dedication and hard work over the year-long project.
Paper.
Code & Playable Demo: Coming soon.
- Infinite-length video generation
- 720p high-quality rendering
- Real-time, frame-level control at 16 FPS
- Generalization to real-world video control.
Key Innovation: A brand new technique called the shift-window denoise process model, enabling auto-regressive generation for diffusion and consistency models in real-time.
Special thanks to project leader Ruili Feng and the entire Matrix team for their dedication and hard work over the year-long project.
Paper.
Code & Playable Demo: Coming soon.
🔥6
OpenAI has discussed powering AI in Samsung devices, similar to a deal the AI developer has with Apple
The discussions are part of a multipronged attack by OpenAI on Google, which is Samsung’s most important partner in using the Android mobile operating system and distributing Google’s mobile apps.
OpenAI also has discussed or reached deals with a slew of website publishers and apps—including Conde Nast and Priceline—to use the company’s conversational AI so that readers or customers can interact with the sites and apps in the same conversational tone they use with ChatGPT.
The discussions are part of a multipronged attack by OpenAI on Google, which is Samsung’s most important partner in using the Android mobile operating system and distributing Google’s mobile apps.
OpenAI also has discussed or reached deals with a slew of website publishers and apps—including Conde Nast and Priceline—to use the company’s conversational AI so that readers or customers can interact with the sites and apps in the same conversational tone they use with ChatGPT.
The Information
OpenAI Talks to Samsung About AI Features, Strikes Search Deals with Apps
OpenAI has discussed powering artificial intelligence in Samsung devices, similar to a deal the AI developer has with Apple, The Information reported . The discussions are part of a multipronged attack by OpenAI on Google, which is Samsung’s most important…
Nice paper from Alibaba on building open reasoning models.
They propose Marco-o1 which is a reasoning model built for open-ended solutions.
"Marco-o1 is powered by Chain-of-Thought (CoT) fine-tuning, Monte Carlo Tree Search (MCTS), reflection mechanisms, and innovative reasoning strategies—optimized for complex real-world problem-solving tasks."
They propose Marco-o1 which is a reasoning model built for open-ended solutions.
"Marco-o1 is powered by Chain-of-Thought (CoT) fine-tuning, Monte Carlo Tree Search (MCTS), reflection mechanisms, and innovative reasoning strategies—optimized for complex real-world problem-solving tasks."
arXiv.org
Marco-o1: Towards Open Reasoning Models for Open-Ended Solutions
Currently OpenAI o1 sparks a surge of interest in the study of large reasoning models (LRM). Building on this momentum, Marco-o1 not only focuses on disciplines with standard answers, such as...
❤5🔥2
⚡️❗️ Breaking Ground in BCI: Science (Neuralink's Competitor) Unveils Revolutionary Biohybrid Neural Technology
Science, a neurotechnology company founded by former Neuralink President Max Hodak, has revealed a revolutionary approach to brain-computer interfaces (BCIs) that could fundamentally transform how we interact with the human brain.
Unlike traditional BCIs, including those developed by Neuralink, Science's innovative biohybrid approach utilizes living neurons instead of conventional electrodes.
The company has developed a unique technology where specially engineered neurons, derived from stem cells, are integrated with electronics before being implanted into the brain. The key innovation lies in keeping the neuron cell bodies within the device while allowing their axons and dendrites to naturally grow into the brain tissue, forming new connections with existing neurons.
This breakthrough approach offers several revolutionary advantages:
1. Natural Integration:
- A single implant of one million neurons can create over a billion synaptic connections
- The device occupies less than a cubic millimeter
- Forms genuine chemical synapses with brain cells
2. Versatility:
- Capability to use various neuron types (dopaminergic, cholinergic, glutamatergic)
- Ability to stimulate the brain using natural neurotransmitters
- Superior signal quality with lower power consumption
3. Scalability Potential:
- Technology can be scaled to millions of neurons
- Theoretical bandwidth comparable to the corpus callosum (the structure connecting brain hemispheres)
The development team is addressing several technical challenges:
1. Immunological Compatibility:
- Need to create immune-invisible cells
- Current personalized cell creation process is costly ($1M+) and time-consuming (months)
2. Cell Viability:
- Neurons must survive glycemic shock
- Protection from hypoxia is essential
- Proper glial support required
- Cells must mature within an active electronic device
Science has already published their first paper demonstrating this technology's capabilities.
While their biohybrid approach is still in early development, its potential is immense. It could solve the fundamental limitations of traditional BCIs - brain tissue damage during electrode implantation and limited long-term stability.
This development represents a significant departure from conventional BCI approaches, including those of Neuralink and other competitors. While Neuralink has focused on developing advanced electrode arrays, Science's biohybrid approach could potentially offer a more natural and sustainable solution for brain-computer integration.
The implications of this breakthrough extend beyond just technological advancement. It opens new possibilities for treating neurological conditions, restoring lost brain functions, and creating more natural brain-computer interfaces. If the technical challenges can be overcome, this technology could form the foundation for the next generation of neuroprosthetics and therapeutic devices.
This innovation underscores the rapid advancement in neurotechnology, with companies like Science and Neuralink pushing the boundaries of what's possible in brain-computer interfacing. The competition between these companies, led by visionary entrepreneurs like Max Hodak, continues to drive innovation in this crucial field, potentially bringing us closer to a future where seamless brain-computer integration becomes a reality.
Science's approach represents not just an incremental improvement but a paradigm shift in how we think about brain-computer interfaces, potentially offering a more biocompatible and sustainable solution for long-term neural interfacing.
Science, a neurotechnology company founded by former Neuralink President Max Hodak, has revealed a revolutionary approach to brain-computer interfaces (BCIs) that could fundamentally transform how we interact with the human brain.
Unlike traditional BCIs, including those developed by Neuralink, Science's innovative biohybrid approach utilizes living neurons instead of conventional electrodes.
The company has developed a unique technology where specially engineered neurons, derived from stem cells, are integrated with electronics before being implanted into the brain. The key innovation lies in keeping the neuron cell bodies within the device while allowing their axons and dendrites to naturally grow into the brain tissue, forming new connections with existing neurons.
This breakthrough approach offers several revolutionary advantages:
1. Natural Integration:
- A single implant of one million neurons can create over a billion synaptic connections
- The device occupies less than a cubic millimeter
- Forms genuine chemical synapses with brain cells
2. Versatility:
- Capability to use various neuron types (dopaminergic, cholinergic, glutamatergic)
- Ability to stimulate the brain using natural neurotransmitters
- Superior signal quality with lower power consumption
3. Scalability Potential:
- Technology can be scaled to millions of neurons
- Theoretical bandwidth comparable to the corpus callosum (the structure connecting brain hemispheres)
The development team is addressing several technical challenges:
1. Immunological Compatibility:
- Need to create immune-invisible cells
- Current personalized cell creation process is costly ($1M+) and time-consuming (months)
2. Cell Viability:
- Neurons must survive glycemic shock
- Protection from hypoxia is essential
- Proper glial support required
- Cells must mature within an active electronic device
Science has already published their first paper demonstrating this technology's capabilities.
While their biohybrid approach is still in early development, its potential is immense. It could solve the fundamental limitations of traditional BCIs - brain tissue damage during electrode implantation and limited long-term stability.
This development represents a significant departure from conventional BCI approaches, including those of Neuralink and other competitors. While Neuralink has focused on developing advanced electrode arrays, Science's biohybrid approach could potentially offer a more natural and sustainable solution for brain-computer integration.
The implications of this breakthrough extend beyond just technological advancement. It opens new possibilities for treating neurological conditions, restoring lost brain functions, and creating more natural brain-computer interfaces. If the technical challenges can be overcome, this technology could form the foundation for the next generation of neuroprosthetics and therapeutic devices.
This innovation underscores the rapid advancement in neurotechnology, with companies like Science and Neuralink pushing the boundaries of what's possible in brain-computer interfacing. The competition between these companies, led by visionary entrepreneurs like Max Hodak, continues to drive innovation in this crucial field, potentially bringing us closer to a future where seamless brain-computer integration becomes a reality.
Science's approach represents not just an incremental improvement but a paradigm shift in how we think about brain-computer interfaces, potentially offering a more biocompatible and sustainable solution for long-term neural interfacing.
Science Corporation
Biohybrid neural interfaces: an old idea enabling a completely new space of possibilities | Science Corporation
Science Corporation is a clinical-stage medical technology company.
🔥8👍3❤2
Perceptron: AI That Lives in the Physical World
Imagine a modern factory floor. Dozens of cameras, microphones, and sensors monitor processes. Robots assemble products. But each system operates in isolation: one monitors quality through video, another listens to equipment sounds, a third tracks sensor data, and a fourth controls robots.
Perceptron aims to unite this into a single "brain" that:
• Simultaneously analyzes all data streams. If something goes wrong, it will notice it through video, sound, and sensor readings
• Works in real-time — instantly responding to any deviations
• Learns from experience and transfers knowledge between different tasks
• Speaks human language: can explain to operators what went wrong and why
In essence, instead of a set of disparate systems, we get a unified "smart assistant" that simultaneously sees, hears, and feels everything happening around it.
It's like moving from separate programs for text, spreadsheets, and presentations to a unified office suite. Except here, we're talking about managing the physical world.
The company has already attracted investments from major funds and experts. It will be interesting to see if they can create such a universal "physical" AI.
Imagine a modern factory floor. Dozens of cameras, microphones, and sensors monitor processes. Robots assemble products. But each system operates in isolation: one monitors quality through video, another listens to equipment sounds, a third tracks sensor data, and a fourth controls robots.
Perceptron aims to unite this into a single "brain" that:
• Simultaneously analyzes all data streams. If something goes wrong, it will notice it through video, sound, and sensor readings
• Works in real-time — instantly responding to any deviations
• Learns from experience and transfers knowledge between different tasks
• Speaks human language: can explain to operators what went wrong and why
In essence, instead of a set of disparate systems, we get a unified "smart assistant" that simultaneously sees, hears, and feels everything happening around it.
It's like moving from separate programs for text, spreadsheets, and presentations to a unified office suite. Except here, we're talking about managing the physical world.
The company has already attracted investments from major funds and experts. It will be interesting to see if they can create such a universal "physical" AI.
www.perceptron.inc
Home
A layer of intelligence for the physical world.
We are a research company building the future of Physical AGI.
We are a research company building the future of Physical AGI.
🔥5
All about AI, Web 3.0, BCI
OLMo is a new open-source LLM from Allen institute for AI that people are discussing OLMo stands out by providing the research community with access to "a truly open language model" framework. It is a holistic toolset for LM research, providing resources…
Ai2 introduced Tülu 3 a set of SOTA instruct models with fully open data, eval code, and training algorithms.
8B model
70B model
Try it out
8B model
70B model
Try it out
allenai.org
Tulu | Ai2
Ai2, a non-profit research institute founded by Paul Allen, is committed to breakthrough AI to solve the world’s biggest problems.
❤4
Hugging Face ecosystem (Nov 2024).pdf
11.4 MB
A lot of gems and insights in this fresh unreleased slide-deck by HuggingFace.
Production uses for open and closed source AI
Production uses for open and closed source AI
❤6
Anthropic has just announced a universal bridge between AI systems and various data sources the Model Context Protocol (MCP).
This open-source standard promises to revolutionize how AI assistants interact with enterprise data systems, development environments, and content repositories.
The Model Context Protocol represents a universal bridge between AI systems and various data sources. Instead of requiring custom implementations for each new data connection, MCP provides a standardized way for AI assistants to access and utilize organizational data securely.
Key Components
The initial release includes three major elements:
1. The core Model Context Protocol specification and SDKs
2. Local MCP server support integrated into Claude Desktop applications
3. An open-source repository featuring pre-built MCP servers
The protocol launches with pre-built MCP servers for popular enterprise systems including:
- Google Drive
- Slack
- GitHub
- Git
- Postgres
- Puppeteer
Major players are already embracing the technology:
- Block and Apollo have integrated MCP into their systems
- Development tools companies including Zed, Replit, Codeium, and Sourcegraph are actively working on MCP implementation
- Claude 3.5 Sonnet has demonstrated exceptional capabilities in building MCP server implementations.
This open-source standard promises to revolutionize how AI assistants interact with enterprise data systems, development environments, and content repositories.
The Model Context Protocol represents a universal bridge between AI systems and various data sources. Instead of requiring custom implementations for each new data connection, MCP provides a standardized way for AI assistants to access and utilize organizational data securely.
Key Components
The initial release includes three major elements:
1. The core Model Context Protocol specification and SDKs
2. Local MCP server support integrated into Claude Desktop applications
3. An open-source repository featuring pre-built MCP servers
The protocol launches with pre-built MCP servers for popular enterprise systems including:
- Google Drive
- Slack
- GitHub
- Git
- Postgres
- Puppeteer
Major players are already embracing the technology:
- Block and Apollo have integrated MCP into their systems
- Development tools companies including Zed, Replit, Codeium, and Sourcegraph are actively working on MCP implementation
- Claude 3.5 Sonnet has demonstrated exceptional capabilities in building MCP server implementations.
Anthropic
Introducing the Model Context Protocol
The Model Context Protocol (MCP) is an open standard for connecting AI assistants to the systems where data lives, including content repositories, business tools, and development environments. Its aim is to help frontier models produce better, more relevant…
❤7👍2
❗️Neuralink announced the approval and launch of a new feasibility trial to extend BCI control using the N1 Implant to an investigational assistive robotic arm.
This builds on their ongoing PRIME Study, which helps people with quadriplegia control digital devices through thought alone.
Now, they're taking a crucial step forward - from digital to physical control. Participants who are already enrolled in PRIME will have the opportunity to join CONVOY and potentially control an assistive robotic arm using just their thoughts.
This feasibility trial marks a pivotal moment in brain-computer interface technology. While PRIME focuses on restoring "digital freedom" - letting users control computers and smartphones mentally - CONVOY aims to restore physical independence through robotic assistance.
This builds on their ongoing PRIME Study, which helps people with quadriplegia control digital devices through thought alone.
Now, they're taking a crucial step forward - from digital to physical control. Participants who are already enrolled in PRIME will have the opportunity to join CONVOY and potentially control an assistive robotic arm using just their thoughts.
This feasibility trial marks a pivotal moment in brain-computer interface technology. While PRIME focuses on restoring "digital freedom" - letting users control computers and smartphones mentally - CONVOY aims to restore physical independence through robotic assistance.
Neuralink
Clinical Trials | Neuralink
Connect with us and learn more about Neuralink clinical trials.
👍5🔥3⚡1
Andrew Ng announced new open-source Python package: aisuite
This makes it easy for developers to use large language models from multiple providers.
Open-source code with instructions.
This makes it easy for developers to use large language models from multiple providers.
Open-source code with instructions.
GitHub
GitHub - andrewyng/aisuite: Simple, unified interface to multiple Generative AI providers
Simple, unified interface to multiple Generative AI providers - andrewyng/aisuite
❤5
You can connect Claude to an internet search engine using MCP
Here's how you can do it too in under 5 minutes:
1. U will need to download the latest version of our Claude desktop app here. To use Brave Web Search specifically, you will need to sign up for a free API key here.
2. Open up your Claude Desktop configuration file:
- macOS: ~/Library/Application Support/Claude/claude_desktop_config.json - Windows: %APPDATA%\Claude\claude_desktop_config.json
3. Then, just add this to that file and save it:
{
"mcpServers": {
"brave-search": {
"command": "npx",
"args": ["-y", "@modelcontextprotocol/server-brave-search"],
"env": {
"BRAVE_API_KEY": "ADD_YOUR_API_KEY_HERE"
}
}
}
}
4. Restart your Claude desktop app for the changes to load.
You can check that the server has been configured properly if you navigate to "Claude" > "Settings" in the top bar and check the Developer tab in this window that pops up.
5. After that, just ask Claude to make a web search for you!
The server tools automatically get loaded in to the system prompt so that Claude knows it has access to them.
If you want to improve on this server, explore more servers, or make your own integrations, go check out GitHub repository.
Here's how you can do it too in under 5 minutes:
1. U will need to download the latest version of our Claude desktop app here. To use Brave Web Search specifically, you will need to sign up for a free API key here.
2. Open up your Claude Desktop configuration file:
- macOS: ~/Library/Application Support/Claude/claude_desktop_config.json - Windows: %APPDATA%\Claude\claude_desktop_config.json
3. Then, just add this to that file and save it:
{
"mcpServers": {
"brave-search": {
"command": "npx",
"args": ["-y", "@modelcontextprotocol/server-brave-search"],
"env": {
"BRAVE_API_KEY": "ADD_YOUR_API_KEY_HERE"
}
}
}
}
4. Restart your Claude desktop app for the changes to load.
You can check that the server has been configured properly if you navigate to "Claude" > "Settings" in the top bar and check the Developer tab in this window that pops up.
5. After that, just ask Claude to make a web search for you!
The server tools automatically get loaded in to the system prompt so that Claude knows it has access to them.
If you want to improve on this server, explore more servers, or make your own integrations, go check out GitHub repository.
👍5
OpneAI’s long awaited Sora video model may have leaked on HuggingFace.
huggingface.co
PR Puppet Sora - a Hugging Face Space by PR-Puppets
Enter a description of the scene you want, pick a resolution and length, and the app creates a short video for you. The video is downloaded, shown in the interface, and its metadata is added to a H...
❤4
Google introduced Health AI Developer Foundations is a game-changer for healthcare AI innovation
It provides open-weight models and resources to help developers build healthcare AI tools faster and more efficiently.
The initial focus is on imaging applications in radiology, dermatology, and pathology, with models pre-trained on large, diverse datasets for powerful performance.
Whether it's chest X-rays, skin conditions, or pathology slides, these models offer a robust starting point for creating AI solutions with minimal additional data and compute.
This suite builds on community feedback and is available for download via platforms like Vertex AI Model Garden and Hugging Face.
This initiative could democratize AI development, enabling creators to innovate for real-world healthcare challenges—improving diagnostics, broadening access, and easing clinician workloads.
It provides open-weight models and resources to help developers build healthcare AI tools faster and more efficiently.
The initial focus is on imaging applications in radiology, dermatology, and pathology, with models pre-trained on large, diverse datasets for powerful performance.
Whether it's chest X-rays, skin conditions, or pathology slides, these models offer a robust starting point for creating AI solutions with minimal additional data and compute.
This suite builds on community feedback and is available for download via platforms like Vertex AI Model Garden and Hugging Face.
This initiative could democratize AI development, enabling creators to innovate for real-world healthcare challenges—improving diagnostics, broadening access, and easing clinician workloads.
Google Research
Helping everyone build AI for healthcare applications with open foundation models
Health AI Developer Foundations (HAI-DEF) is a new suite of open weight models to help developers more easily build AI models for healthcare applications. The initial launch is focused on imaging applications in radiology, dermatology and pathology.
❤4
Web3 x AI Market Map 2024
Web3 and AI are converging to create a new "supercycle" of technological development. AI serves as the brain of the system, handling decision-making and automation, while Web3 forms the economic foundation, enabling decentralized value exchange.
Key Trends of 2024:
1. The Age of Smart Agents
- AI agents are now creating real economic value
- Agents trade with each other, manage assets, and even launch their own projects
- Platforms have emerged where anyone can create a personal AI agent in minutes.
2. Five Layers of the New Economy
🔵 Compute: Decentralized networks providing AI processing power
🔵 Data: Transparent systems for collecting and validating information
🔵 Model: Creating and training AI on blockchain
🔵 Interface: Tools for system interaction
🔵 Applications: End products for users
3. Practical Applications
- Finance: AI manages investments and analyzes risks
- Gaming: Smart characters with unique personalities
- Creativity: AI creates music and art in the metaverse
- Social Networks: New level of AI-powered interaction
Web3 and AI are converging to create a new "supercycle" of technological development. AI serves as the brain of the system, handling decision-making and automation, while Web3 forms the economic foundation, enabling decentralized value exchange.
Key Trends of 2024:
1. The Age of Smart Agents
- AI agents are now creating real economic value
- Agents trade with each other, manage assets, and even launch their own projects
- Platforms have emerged where anyone can create a personal AI agent in minutes.
2. Five Layers of the New Economy
🔵 Compute: Decentralized networks providing AI processing power
🔵 Data: Transparent systems for collecting and validating information
🔵 Model: Creating and training AI on blockchain
🔵 Interface: Tools for system interaction
🔵 Applications: End products for users
3. Practical Applications
- Finance: AI manages investments and analyzes risks
- Gaming: Smart characters with unique personalities
- Creativity: AI creates music and art in the metaverse
- Social Networks: New level of AI-powered interaction
❤5
AI2 released OLMo 2, fully open language model to date, including a family of 7B and 13B models trained up to 5T tokens.
OLMo 2 outperforms other fully open models and competes with open-weight models like Llama 3.1 8B.
Model.
Try out an OLMo 2 demo on Playground.
OLMo 2 outperforms other fully open models and competes with open-weight models like Llama 3.1 8B.
Model.
Try out an OLMo 2 demo on Playground.
allenai.org
OLMo 2: The best fully open language model to date | Ai2
Our next generation of fully-open base and instruct models sit at the Pareto frontier of performance and training efficiency.
Check out our [paper](https://arxiv.org/abs/2501.00656) to learn more, or keep reading for a summary.
Check out our [paper](https://arxiv.org/abs/2501.00656) to learn more, or keep reading for a summary.
❤4
Meta introduced Sparsh is the first general-purpose encoder for vision-based tactile sensing that works across many tactile sensors + many tasks.
The family of models was pre-trained on a large dataset of 460K+ tactile images using SSL.
The family of models was pre-trained on a large dataset of 460K+ tactile images using SSL.
sparsh-ssl.github.io
Sparsh | Self-supervised touch representations for vision-based tactile sensing
Sparsh: Self-supervised touch representations for vision-based tactile sensing
❤4
HuggingFace released SmolVLM, a smol 2B VLM built for on-device inference that outperforms all models at similar GPU RAM usage and tokens throughputs.
SmolVLM can be fine-tuned on a Google collab and be run on a laptop.
Or process millions of documents with a consumer GPU.
Demo.
Model.
Fine-tuning script.
SmolVLM can be fine-tuned on a Google collab and be run on a laptop.
Or process millions of documents with a consumer GPU.
Demo.
Model.
Fine-tuning script.
huggingface.co
SmolVLM - small yet mighty Vision Language Model
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
❤4
👀Total Stablecoin Value Tops Terra-Era Peak to Near $200 Billion
The total market capitalization for stablecoins has swollen 46% this year to a record of about $190 billion on Sunday, according to DeFiLlama data.
Tether, which issues the world’s largest stablecoin USDT, has seen its token’s circulation soar to nearly $133 billion, accounting for 70% of the total stablecoin market. The company wants to broaden usage of USDT by pushing into new industries including commodities. It recently announced the funding of its first crude oil transaction in the Middle East
Meanwhile, Stripe Inc., the $70 billion fintech giant, in October said it plans to buy stablecoin startup Bridge for $1.1 billion in one of the largest-ever acquisitions of a digital-asset startup. Other traditional finance firms including PayPal Holdings Inc. have also ventured into the sector.
The recent stablecoin surge coincides with a crypto rally spurred by Donald Trump’s victory in the US presidential race. Once an industry skeptic, Trump won over the sector with pledges to put in place more favorable policies.
The overall value of the digital-assets market has risen by nearly a trillion dollars since the election, according to data from CoinGecko.
The total market capitalization for stablecoins has swollen 46% this year to a record of about $190 billion on Sunday, according to DeFiLlama data.
Tether, which issues the world’s largest stablecoin USDT, has seen its token’s circulation soar to nearly $133 billion, accounting for 70% of the total stablecoin market. The company wants to broaden usage of USDT by pushing into new industries including commodities. It recently announced the funding of its first crude oil transaction in the Middle East
Meanwhile, Stripe Inc., the $70 billion fintech giant, in October said it plans to buy stablecoin startup Bridge for $1.1 billion in one of the largest-ever acquisitions of a digital-asset startup. Other traditional finance firms including PayPal Holdings Inc. have also ventured into the sector.
The recent stablecoin surge coincides with a crypto rally spurred by Donald Trump’s victory in the US presidential race. Once an industry skeptic, Trump won over the sector with pledges to put in place more favorable policies.
The overall value of the digital-assets market has risen by nearly a trillion dollars since the election, according to data from CoinGecko.
Bloomberg.com
Total Stablecoin Value Tops Terra-Era Peak to Near $200 Billion
The value of the stablecoin market has risen to new heights after regaining ground lost in the aftermath of TerraUSD’s infamous collapse in 2022.
❤4
Alibaba released a preview of QwQ /kwju:/ — an open model designed to advance AI reasoning capabilities.
Qwen
QwQ: Reflect Deeply on the Boundaries of the Unknown
GITHUB HUGGING FACE MODELSCOPE DEMO DISCORD
Note: This is the pronunciation of QwQ: /kwju:/ , similar to the word “quill”.
What does it mean to think, to question, to understand? These are the deep waters that QwQ (Qwen with Questions) wades into. Like an…
Note: This is the pronunciation of QwQ: /kwju:/ , similar to the word “quill”.
What does it mean to think, to question, to understand? These are the deep waters that QwQ (Qwen with Questions) wades into. Like an…
❤4
LLM-brained GUI Agents
Great survey on LLM-brained GUI agents, including techniques and applications.
Great survey on LLM-brained GUI agents, including techniques and applications.
arXiv.org
Large Language Model-Brained GUI Agents: A Survey
GUIs have long been central to human-computer interaction, providing an intuitive and visually-driven way to access and interact with digital systems. The advent of LLMs, particularly multimodal...