12-22-2025

Meta’s Mango & Avocado: Next-Gen AI Models 2026

PLUS: Google’s NotebookLM exports tables, Mars’ modular robot, Resolve AI hits $1B funding

Good morning, AI enthusiasts. Meta is gearing up to launch Mango and Avocado, its next-generation AI models aimed at blending image, video, text, and coding capabilities to support professionals in automating diverse workflows. These multi-modal models represent a key move in Meta’s strategy to regain momentum in the highly competitive AI landscape by 2026.

By focusing on versatile reasoning and enhanced coding integration, Meta positions these tools to reshape how users handle complex data and software tasks. The big question remains: how will Mango and Avocado influence the future of professional productivity and multi-modal AI adoption?

In today’s AI recap:

  • Meta’s Mango and Avocado multi-modal AI models for 2026
  • Google NotebookLM’s new Data Tables exporting to Sheets and Docs
  • Tron 2, the modular humanoid robot designed for Mars missions
  • Resolve AI’s autonomous SRE platform reaches $1 billion valuation

Meta's Mango & Avocado: Next-Gen AI Models 2026

From Larry Bruce:
"Meta’s upcoming AI models, Mango and Avocado, promise to boost how professionals use AI across images, video, text, and code. This development signals fresh opportunities for early adopters aiming to automate tasks and enhance productivity with multi-modal AI tools."

The Recap: Meta plans to release advanced AI models Mango and Avocado by 2026, emphasizing multi-modal reasoning and coding capabilities as part of its larger AI roadmap to regain traction in a competitive landscape.

Unpacked:

  • Mango and Avocado target multi-modal AI, combining image, video, and text processing to help you work seamlessly across different data types.
  • Meta’s focus on integrating coding functions in these AI models aims to help developers automate and accelerate software tasks.
  • The 2026 release reflects Meta’s strategic push to revitalize its AI offerings amid strong competition, signaling ongoing rapid innovation.

Bottom line: These models could redefine how professionals handle diverse data and coding work, opening doors to smarter automation and greater productivity. Keeping an eye on Meta’s AI pathway will help you stay ahead as new tools emerge in the coming years.

Google NotebookLM Boosts Productivity with Data Tables

From Larry Bruce:
"Google's latest update to NotebookLM simplifies how professionals organize their research notes, helping them turn scattered information into clean, usable data. This feature will particularly resonate with developers, entrepreneurs, and AI enthusiasts who seek faster ways to manage and export insights."

The Recap: Google upgraded NotebookLM by adding Data Tables that transform loose notes into exportable tables for Google Sheets and Docs, streamlining data management for professionals.

Unpacked:

  • The new Data Tables feature lets you organize fragmented notes into structured tables accessible for export, enabling easier analysis and reporting.
  • Integration with Google Sheets and Docs allows seamless transfer of information into familiar productivity tools without manual formatting.
  • This update targets researchers and AI users who need practical solutions to quickly synthesize and share data within their workflows.

Bottom line: This advance helps professionals save time by automating note organization and data export, boosting efficiency in daily tasks. Staying updated with such AI tools can keep your workflows lean and on the cutting edge of productivity innovation.

Meet Tron 2: The AI-Powered Modular Robot for Mars

From Larry Bruce:
"LimX Dynamics pushes robotics forward with Tron 2, a modular humanoid designed for extreme environments like Mars. This development signals new paths for AI-driven automation that professionals can watch for next-gen productivity tools."

The Recap: LimX Dynamics revealed Tron 2, an AI-powered modular humanoid robot built for agility, strength, and teleoperation in complex settings such as Mars exploration missions.

Unpacked:

  • Tron 2 uses a modular humanoid robot design allowing flexible reconfiguration and adaptability for diverse tasks and environments.
  • The robot combines AI with teleoperation, which enables remote control for precise operations in hazardous or distant locations.
  • Its agility and strength make it suitable for physically demanding missions, showcasing progress in embodied AI systems with practical real-world uses.

Bottom line: Tron 2 demonstrates how AI integration with robotics can extend human reach into remote frontiers while automating tough, physical tasks. This approach signals how AI-powered tools will continue to help professionals tackle complex challenges with innovative automation.

Resolve AI’s Autonomous SRE Hits $1 Billion Valuation

From Larry Bruce:
"Resolve AI’s breakthrough in automating site reliability engineering marks a critical step toward smarter, less hands-on software operations. For developers and entrepreneurs, this means more time innovating and less time patching systems."

The Recap: Resolve AI, founded by ex-Splunk executives, secured Series A funding with a headline $1 billion valuation to build autonomous SRE tools that automatically monitor and maintain software systems, accelerating AI-powered infrastructure reliability.

Unpacked:

  • Resolve AI’s founders bring expertise from Splunk to create solutions that reduce the need for manual software system upkeep.
  • The company’s autonomous SRE software continuously watches system health and acts proactively to prevent downtime without human input.
  • This move reflects broader AI trends where automation enhances productivity by relieving engineers from routine operational burdens.

Bottom line: Autonomous site reliability tools like those from Resolve AI promise to boost team efficiency by cutting manual monitoring. Staying ahead with these AI-powered platforms will become essential for maintaining resilient, scalable software systems.

The Shortlist

OpenAI is reported to be seeking $100 billion in funding at an $830 billion valuation, underscoring the company's ambitious growth plans and massive capital demands amid intense AI competition.

Yann LeCun confirmed he launched a new world-model AI startup, Advanced Machine Intelligence (AMI), aiming for a $5B+ valuation and led by Alex LeBrun, signaling a fresh push into next-gen AI architectures.

Cursor continues its AI coding assistant expansion with the acquisition of Graphite, specializing in AI-powered bug detection and improving coding accuracy through “stacked pull requests.”

OpenAI allows users to customize ChatGPT’s tone by adjusting warmth, enthusiasm, and emoji usage, enhancing personalization in conversational AI experiences.

New York Governor Kathy Hochul signed the RAISE Act, making New York the second U.S. state with major AI safety legislation requiring large AI developers to disclose safety protocols and report incidents within 72 hours.

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