Announcements
Moltbook
Researchers spun up a Reddit-like forum just for AI agents. And things escalated quickly. Arguments, alliances, strange in-jokes. To date, its one of the largest experiments in machine-to-machine social interaction. AI agents now have their own Reddit-style social network, and it’s getting weird fast
Google DeepMind AlphaGenome
Google DeepMind just published the full research paper and model weights for AlphaGenome, its AI tool unveiled this summer that scans a million letters of genetic code to predict how mutations cause disease. AlphaGenome was trained on vast genetic datasets and can predict how a single DNA typo affects 11 different biological processes. It gives researchers open access to a map for the genetic code that could ramp discovery in ways we're only beginning to imagine. In tests, it flagged mutations linked to leukemia that sat thousands of letters away from the affected gene, connections that took researchers years to find.
Microsoft Azure Hackathon: Activate Generative AI with Azure
Experience hands-on labs, real-world scenarios, and expert guidance from Microsoft and NVIDIA.
You’ll discover:
- How to use large language models (LLMs) and Azure OpenAI Service accelerated by NVIDIA GPUs
- Best practices for developing and deploying generative AI apps at scale
- Tips for automating workflows and tracking performance
ChatGPT Health
OpenAI just introduced ChatGPT Health, a new private experience within the chatbot that lets users pull in their medical records and fitness app data to allow health conversations — drawing on personal context instead of generic advice.
Microsoft Copilot Usage Report
New research from Microsoft analyzing 37.5M Copilot conversations from the past year, revealing distinct behavioral patterns in how users engage with the AI assistant across different devices, time periods, and topics.
Here are some of the highlights:
- Health and wellness queries dominated mobile use regardless of hour or month, positioning phones as around-the-clock personal wellness companions.
- Advice-seeking grew throughout the year, with users increasingly treating AI as a guidance source rather than just a pure search tool.
- Late-night sessions saw philosophical, religious, and existential topics climb in popularity, while relationship chats spiked specifically around Valentine's Day.
- Programming dominated in January, while social topics rose later in the year, reflecting a shift from early adopters toward a broader, mainstream audience.