Welcome to your daily newsletter on AI

What have we got for you today?

• 🤖 Google teams up with a Humanoid Robot

• 🫣 OpenAI O3 Model Preview

• 🤑 A $10M AI Grant Fund

• 🕵️ Tutorial with GenAI Object Detection

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🎯 RELEASES 🎯

Google | Apptronik
A Glimpse at the Future of Robotics and AI

Synopsis

Google DeepMind has announced a strategic partnership with Apptronik to advance robotics, focusing on integrating AI capabilities into physical systems. Robotics is the next major frontier in AI, complementing advancements in vision, language, and audio processing with innovative approaches to intelligent physical interactions - let’s see what comes next!

Core Observations

• Goal: Enable Apollo to autonomously learn physical tasks like assembly and material handling.

• Apollo’s Legacy: Built on Apptronik’s decade of expertise, including NASA’s Valkyrie humanoid robot.

• Human-Centric Design: Apollo (5'8", 160 lbs) handles industrial tasks safely alongside human workers.

• AI-Driven Robotics: DeepMind’s Gemini models enhance Apollo’s perception, decision-making, and adaptability.

• Broader Impact: Advances could revolutionise healthcare, manufacturing, and logistics with scalable solutions.

Broader Context

Google is not alone in its pioneering efforts. With companies like Boston Dynamics pushing the boundaries of mobility, Tesla exploring humanoid robots for industrial and domestic tasks, and Agility Robotics advancing collaborative robotics, and the Tesla Bot, the field is becoming highly competitive. Such collaborations highlight the race to shape the future of intelligent machines, with each player contributing unique advancements that will determine the role of robotics in society

view news video here about Google & Apptronik

OpenAI
O3 Model Preview Released with Safety Focus

Synopsis

OpenAI has unveiled its new O3 model, currently in preview, alongside a call for collaboration with safety researchers who will have early access to the model. The O3 model introduces advanced features aimed at improving reasoning, contextual understanding, and real-time adaptability.

Core Observations

• Improved Reasoning: Excels in multi-step tasks like math, science, and coding.

• Benchmark Leader: Scores 87.5% on ARC-AGI, surpassing human benchmarks.

• Two Variants: o3 (full version) and o3-mini (lightweight, efficient alternative).

• External Testing: Currently in preview, available for safety researcher feedback

Broader Context

For developers and engineers, this release signifies an opportunity to work with one of the most advanced AI models while actively participating in its refinement.

Solana
A $10 Million AI Grant Fund - Block Chain + AI

Synopsis

Solana, renowned for its high-speed and low-cost blockchain infrastructure, is actively integrating artificial intelligence (AI) to enhance decentralised applications (dApps) and services. This convergence aims to streamline user experiences, foster innovation, and expand the capabilities of blockchain technology across various sectors.

Core Observations

• 10 Million AI Grant Fund: supports projects at the intersection of Solana blockchain and AI.

• ChatGPT Plugin for Solana: integration allows for checking wallet balances, transferring tokens, and purchasing NFTs

• AI-Powered Projects on Solana:

  • Nosana: GPU grid providing cost-effective resources for AI workloads.

  • Synesis One: marketplace connects AI data providers developers.

  • TARS AI: AI protocol dedicated to building a symbiotic AI app

• OSOL100 AI Index: O.XYZ has launched OSOL100, an AI index token designed to capture the cumulative value of Solana’s top 100 AI projects.

Broader Context

Solana is called on devs to build decentralised tech. By combining AI with blockchain, Solana aims to enhance the functionality and user-friendliness of dApps, making decentralised services more accessible and efficient.

Reference their medium post for more.

Trending

• Alec Radford is done with OpenAI

• Google is expanding Gemini’s in-depth research mode to 40 languages

• ElevenLabs releases flash - TTS as fast as 75ms

• EU Approves Nvidia's Run:ai Takeover

• Perplexity’s Carbon integration will make it easier for enterprises to connect their data to AI search

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⚙️ BUILDERS BYTES ⚙️

Nvidia NanoOwl
Object Detection Cam!

What will you learn today?

We will look at Nvidia AI Labs project Nano owl

• optimises OWL-ViT 

• 🔥 real-time 🔥 on NVIDIA Jetson Orin Platforms
  

It is part of a larger ecosystem of AI demos, available here.

Key Takeaways

1. Lighweight: this model can run on as little as 4GB of GPU memory with a webcam

2. Uses Distillation : leverages OpenClip and LLM + CNN architecture

3. Tree Detection: pipeline that combines OWL-ViT and CLIP to enable nested detection and classification of anything, at any level, simply by providing text (as shown in gif above)

Try it out

# pull jetson dev containers
git clone https://github.com/dusty-nv/jetson-containers
bash jetson-containers/install.sh

# run pre-build nano owl container
jetson-containers run --workdir /app --name inference -v `pwd`:/app $(autotag nanoowl) bash

# go to run directory
cd examples/tree_demo
# run demo!
python3 tree_demo.py ../../data/owl_image_encoder_patch32.engine

To view the full code, to here
View the Jetson AI labs demos here 

Trending

• Patronus AI Open Sources Glider: A 3B State-of-the-Art Small Language Model (SLM) Judge (code)

• Hugging Face Releases FineMath: Open Math 50B+ Pre-Training Dataset

🤩 COMMUNITY 🤩

Tools

• Core - See 95% less emails

• TLdraw - Infinite Canvas for Natural Language Processing

• Retellio - Ai Briefing Tool for Busy Leaders

• LibLab - Generate SDKs and docs that stay in sync with your API

• BeautifulAI - Helps you build stylish presentations with speed

Talks & Events

• Ilya Sutskever: "Sequence to sequence learning with neural networks: what a decade"

• Geoffrey Hinton | On working with Ilya, choosing problems, and the power of intuition

THANK YOU

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