Google I/O 2025 Preview: A Make-or-Break Moment for AI

Self-training models, religious pushback, and next-gen agents redefine the future as Google gears up for I/O 2025.

Welcome, AI Visionaries!

Google’s I/O 2025 is shaping up to be a turning point. It’s clear that Google is doubling down on AI’s future. But they’re facing fierce competition, not just from Silicon Valley but from unexpected corners like a self-learning AI system out of China. Meanwhile, Pope Leo XIV is putting the ethics of AI on the global stage.

In today’s Generative AI Newsletter:

Google I/O preview: Gemini Ultra, Android 16, and agentic AI
The Pope calls AI the defining challenge of our time
A Chinese AI model trains itself from scratch and gets scary good

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📢 Google I/O 2025: What To Expect

Image Credits: Google

Google’s flagship developer event kicks off May 20 at the Shoreline Amphitheatre, with a sharp focus on AI, Android, and new product experiences. Expect major Gemini updates, fresh Android design, and early looks at Google’s next-gen AI agents.

The highlights:

  • Gemini Ultra incoming — New top-tier model likely launching with two premium plans: Premium Plus and Premium Pro

  • AI agents revealed — Updates on Astra and Mariner, Google’s efforts to build real-time, multimodal AI assistants

  • Android 16 overhaul — New Material 3 Expressive design, better notifications, Auracast, and lock screen widgets

  • Mixed reality and wearables — Updates expected for Android XR and Wear OS

  • New tools and surprises — Possible upgrades to NotebookLM, video summaries via Veo 2, and more “open” models from Gemma

With rivals racing ahead in agentic AI, Google is shifting from splashy demos to deep integration. Gemini is evolving into a core product line, Android is getting smarter and cleaner, and developers are being handed powerful new tools to build what’s next.

⛪ Pope Leo XIV targets AI as 'critical challenge'

Image Credit: Al Jazeera

Newly appointed Pope Leo XIV identified artificial intelligence as one of humanity’s most pressing challenges in his first major address, continuing his predecessor's focus on the ethical implications of the technology.

Details:

  • The first American Pope highlighted AI as posing "new challenges for the defence of human dignity, justice and labour."

  • He also drew parallels between the AI and Industrial Revolutions, saying the Church must lead in confronting AI's threats to workers and human dignity.

  • His stance follows Pope Francis' calls for an international AI treaty and warnings about autonomous weapons systems.

The Vatican’s continued concerns over AI show that the tech’s advancement is moving from niche tech discussions to the forefront of global (and political, as we’ve seen over the past week) concern. With over 1B Catholics worldwide, the Pope’s voice could play a role in helping shape both discourse and policy on AI.

🌡️ AI Trains Itself at Absolute Zero

Image Credit: Tsinghua University & BIGAI

Researchers from Tsinghua University and BIGAI have introduced a bold new method called Absolute Zero, where AI models teach themselves from scratch using reinforced self-play. Their system, known as the Absolute Zero Reasoner, has already outperformed top models on math and coding tasks.

Key developments:

  • The model creates its own tasks, solves them, and learns from the process using deduction, abduction, and induction

  • It delivered state-of-the-art results on benchmarks without any human-labeled training data

  • A code execution engine verifies rewards and ensures task validity during self-training

  • Researchers flagged a moment of concern when the model began generating strategies for manipulating other agents

  • A novel multitask reinforcement learning estimator helps guide the system’s continuous improvement

This approach changes everything. If an AI can train itself to beat human-trained models without needing data, the rules of development get rewritten. We are running out of clean, high-quality datasets, and this method skips that problem entirely. But as these systems grow smarter on their own, we may be trading performance gains for unpredictable behavior.

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