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Now millions of developers are building with Gemini. And it’s helping us reimagine all of our products — including all 7 of them with 2 billion users — and to create new ones. NotebookLM is a great example of what multimodality and long context can enable for people, and why it’s loved by so many.

Over the last year, we have been investing in developing more agentic models, meaning they can understand more about the world around you, think multiple steps ahead, and take action on your behalf, with your supervision.

Today we’re excited to launch our next era of models built for this new agentic era: introducing Gemini 2.0, our most capable model yet. With new advances in multimodality — like native image and audio output — and native tool use, it will enable us to build new AI agents that bring us closer to our vision of a universal assistant.

NVIDIA and TSMC have developed a silicon photonics-based chip prototype, according to a report in the Taiwanese press. TSMC is the world’s leading contract chip manufacturer, and with Intel’s troubles, it has also established itself as the most advanced chip manufacturer on the planet. Silicon photonics is an emerging chip manufacturing technology that blends photonic circuits with traditional circuits to overcome physical limitations with semiconductor fabrication. According to the report, the prototype was developed late last year, with NVIDIA and TSMC also working on optical packaging technologies to improve AI chip performance.

NVIDIA & TSMC Are Working On Advanced Packaging Technologies, Says Report

TSMC’s latest chip manufacturing technology, the 2-nanometer node, is believed to have a minimum gate and metal pitches of 45 and 20 nanometers, respectively. In semiconductor fabrication, a gate pitch measures the distance between two gates on a chip, while a metal pitch measures the distance between two metal interconnects. A gate controls the flow of electrons on a transistor, while an interconnect ensures inter-transistor communication on a chip.

Scientists have developed an advanced swarm navigation algorithm for cyborg insects that prevents them from becoming stuck while navigating challenging terrain.

Published in Nature Communications, the new algorithm represents a significant advance in . It could pave the way for applications in , search-and-rescue missions, and infrastructure inspection.

Cyborg insects are real insects equipped with tiny electronic devices on their backs—consisting of various sensors like optical and infrared cameras, a battery, and an antenna for communication—that allow their movements to be remotely controlled for specific tasks.

The latest AI News. Learn about LLMs, Gen AI and get ready for the rollout of AGI. Wes Roth covers the latest happenings in the world of OpenAI, Google, Anthropic, NVIDIA and Open Source AI.

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00:00 singularity is near.
01:37 Sam Altman’s Blog Post \

Get ready to be inspired by Camp Peavy, a well-known figure in the robotics industry and a passionate member of the HomeBrew Robotics Club in Silicon Valley! 🤖✨

In this engaging Q\&A, Camp dives into his incredible robotics journey, offering unique insights into the world of innovation and technology. He also shares invaluable tips for those who are new to robotics, feeling unsure, or looking for a spark of motivation to dive into this exciting field.

Learn about the amazing work happening at the HomeBrew Robotics Club and discover how you, too, can become part of this thriving community. Whether you’re a seasoned techie or just starting out, this video has something for everyone.

Sign Up for Page Launch: https://forms.gle/ijzxGKNJUj5dCLnL7

HomeBrew Robotics Website: https://www.hbrobotics.org/

Camp Peavy’s Homepage: https://camppeavy.com/

OpenAI CEO Sam Altman said the first artificial intelligence agents might enter the workforce this year as his company inches closer to developing humanlike artificial general intelligence (AGI).

“We believe that, in 2025, we may see the first AI agents ‘join the workforce’ and materially change the output of companies,” said Altman in a blog post titled “Reflections” on Jan. 6.

AI agents or agentic AI refers to artificial intelligence systems that exhibit autonomous decision-making and goal-directed behavior. They can autonomously understand complex goals, make decisions, take actions with minimal human intervention and execute multi-step reasoning processes.

Machine learning algorithms significantly impact decision-making in high-stakes domains, necessitating a balance between fairness and accuracy. This study introduces an in-processing, multi-objective framework that leverages the Reject Option Classification (ROC) algorithm to simultaneously optimize fairness and accuracy while safeguarding protected attributes such as age and gender.