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Today:

• Mushroom Cyborgs Blend Biology Robotics

• Anthropic Launches Claude 3.5 Haiku

• xAI Launches Grok API Beta

• Bezos, OpenAI Invest in Robotics Startup

• Meta Joins Defense with Open-Source AI

• Microsoft Launches GenAI Accelerator Program

New Cyborg (DISTURBING) - Robots Controlled by Fungus, Self Healing Skin and Mushroom Language

Researchers at Cornell University recently developed a biohybrid "cyborg" combining a robot body with living mushroom mycelium. This fungal root network can send electrical signals that control the robot’s movement, reacting to environmental cues like light. The team even experimented with a self-healing fungal “skin.” 

While these cyborgs might help in fields like agriculture by sensing soil health, the technology raises ethical concerns. Releasing mushroom-based robots into ecosystems could disrupt natural systems.

WATCH THE VIDEO ON YOUTUBE

Anthropic Launches Claude 3.5 Haiku

Anthropic launched Claude 3.5 Haiku, an upgraded AI model that improves on speed, accuracy, and versatility. Available via major cloud platforms, it starts at $1 per million input tokens, with discounts for prompt caching and batching. This model is ideal for tasks like coding, interactive chatbots, data labeling, and content moderation, excelling in customer service, software development, and data processing. 

It also upholds high safety standards, with extensive testing for sensitive content handling. Claude 3.5 Haiku meets both general and specialized use cases, offering quick, reliable responses for large-scale applications across various industries.

xAI Launches Grok API Beta

xAI has launched a public beta for its Grok API, allowing developers to access the Grok foundation models. Through December 2024, users receive $25 in free API credits monthly. Grok’s initial offering includes the grok-beta model, supporting extended contexts up to 128,000 tokens, function calling, and system prompts. A multi-modal version capable of processing images will be available next week. 

Current API documentation aligns with APIs from OpenAI and Anthropic, making migration seamless. Developers can start with Grok by updating their SDK's base URL and API key. 

Bezos, OpenAI Invest in Robotics Startup

Physical Intelligence, an AI robotics startup, raised $400 million from investors including Jeff Bezos, OpenAI, and venture firms Thrive and Lux Capital, bringing its valuation to $2 billion. The company aims to create adaptable software for robots, eliminating the need to program individual tasks. The funding highlights increased investments in AI by major tech companies like Amazon, Microsoft, and Nvidia, as the AI market is projected to reach $79.2 billion in 2024. 

Physical Intelligence recently demonstrated its software, π0 (pi-zero), which enables robots to perform tasks like folding laundry and bagging groceries, signaling new possibilities for robotics AI.

Meta Joins Defense with Open-Source AI

Meta is making its open-source AI model, Llama, accessible to U.S. government agencies and defense contractors to enhance national security. Partnering with companies like Oracle, Lockheed Martin, and Scale AI, Meta aims to use Llama for tasks like data analysis, logistics, and cybersecurity. 

This initiative supports America's leadership in AI by fostering an open-source standard rooted in transparency and ethics, countering global competitors, especially China. Through collaborations with the public sector, Meta promotes efficient, ethical AI use in areas like public service, defense, and economic growth, ensuring American innovation aligns with democratic values and international security standards.

Microsoft Launches GenAI Accelerator Program

Microsoft, in collaboration with NVIDIA and GitHub, has launched the GenAI Accelerator to support promising AI start-ups in the UK. Running from January to March 2025, the program targets UK-based AI start-ups with innovative, impactful products, providing them with mentorship, technical guidance, and networking opportunities. 

Participants will receive support from Microsoft’s AI specialists and NVIDIA’s resources, including the Deep Learning Institute, to accelerate their AI development. The Accelerator aims to foster a sustainable AI community in the UK, culminating in a Demo Day for start-ups to present their solutions to investors. Applications are open until November 22, 2024.

🧠RESEARCH

OS-ATLAS: A Foundation Action Model for Generalist GUI Agents

OS-Atlas is an open-source tool designed to improve graphical user interface (GUI) agents, addressing issues in accuracy and adaptability. Unlike closed models like GPT-4o, OS-Atlas can handle diverse GUIs across platforms like Windows, MacOS, and Android. With 13 million data points, it significantly boosts performance in identifying and navigating new interfaces.

Multi-expert Prompting Improves Reliability, Safety, and Usefulness of Large Language Models

Multi-expert Prompting is a method to improve large language model responses by simulating multiple expert perspectives. It combines these insights to enhance accuracy, factuality, and usefulness, while minimizing harmful content. This approach, using structured decision-making steps, outperforms previous models and boosts response reliability by over 8% in ChatGPT.

Adapting While Learning: Grounding LLMs for Scientific Problems with Intelligent Tool Usage Adaptation

This study introduces a two-part method to improve large language models (LLMs) in scientific problem-solving. First, models learn core knowledge directly from tools, then adapt by distinguishing simple from complex problems. This approach improves LLM accuracy by 28% and optimizes tool use, outperforming top models in fields like math and climate science.

HelloMeme: Integrating Spatial Knitting Attentions to Embed High-Level and Fidelity-Rich Conditions in Diffusion Models

HelloMeme introduces a method for enhancing text-to-image models with adapters that support complex tasks without losing flexibility. By refining the attention mechanism on 2D feature maps, this approach improves meme video generation. Compatible with popular open-source models, it offers promising tools for advanced post-training applications.

Adapting While Learning: Grounding LLMs for Scientific Problems with Intelligent Tool Usage Adaptation

This study introduces a two-part method to enhance large language models (LLMs) in scientific problem-solving. First, models learn foundational knowledge through tools. Then, they adapt by assessing problem difficulty, using tools only for complex cases. This approach increases accuracy by 28% and precision in tool usage by 13%, outperforming top models.

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📲SOCIAL MEDIA

🗞️MORE NEWS

• Apple’s upcoming iOS 18.2 will allow users to upgrade to ChatGPT Plus directly from the Settings menu, enhancing ChatGPT integration in iOS. The update, expected in December, also adds Visual Intelligence and Genmoji features.

• Nvidia's AI Blueprint enables developers to create AI agents for analyzing video and images across industries. These agents can identify patterns, summarize content, and alert for safety, enhancing productivity and safety in smart spaces worldwide.

• Amazon’s Prime Video now offers X-Ray Recaps, an AI tool that summarizes entire TV seasons, episodes, or scenes. Accessible on Fire TV devices, it generates concise recaps while avoiding spoilers, starting with Amazon Originals.

• Microsoft has launched an AI-powered Xbox chatbot for Xbox Insiders in the U.S. to help players with console and game support. This interactive virtual agent previews Microsoft's broader plans for AI integration in Xbox services.

• Aravind Srinivas, CEO of Perplexity, offered AI services to replace striking New York Times tech workers during their November 4 strike. This offer, aiming to maintain election coverage, sparked criticism on social media.

• Lehigh University’s BiomedGPT, an open-source AI model, combines image and text analysis to support healthcare tasks like diagnosis and drug discovery. Tested with Massachusetts General Hospital, it aims to improve medical workflows and patient care efficiency.