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AI Daily Digest - 2025-12-29

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OpenAI offers $555,000 salary to protect humans from AI risks

Category: Security and Privacy
Source: The Telegraph

OpenAI is hiring a ‘Head of Preparedness’ with a substantial $555,000 salary and equity to address increasing threats posed by artificial intelligence systems. The role aims to mitigate cyber, biosecurity, and mental health risks caused by rapidly advancing AI capabilities. OpenAI CEO Sam Altman emphasized the job’s urgency and said that AI systems have begun uncovering critical vulnerabilities, highlighting the importance of early prevention.

This role is a significant step toward risk mitigation as the company navigates growing concerns over AI’s societal impact. OpenAI has faced pressure from lawsuits and public health concerns tied to their models, stressing the importance of strong leadership to safeguard the technology’s development responsibly.


SoftBank makes a $4 billion bet on AI infrastructure with DigitalBridge acquisition

Category: Infrastructure and Hardware
Source: CNBC

Japan’s SoftBank has confirmed plans to acquire DigitalBridge, a U.S.-based data center investment firm, for $4 billion. The acquisition aims to fortify SoftBank’s foundation for next-generation AI data centers as global computation demands surge. Masayoshi Son, SoftBank’s CEO, highlighted that the deal would strengthen efforts to build scalable AI infrastructure essential for industrial AI applications.

DigitalBridge currently oversees $108 billion in assets, and its integration into SoftBank is expected to revolutionize energy-efficient AI computation while bolstering global AI development.


Could space-based data centers solve the AI energy crisis?

Category: Infrastructure and Hardware
Source: Live Science

Google Research’s conceptual ‘Project Suncatcher’ proposes satellite-based data centers to tackle the increasing energy challenges of AI workloads. These data centers, reliant on solar energy and optimized for space’s radiative cooling environment, could theoretically support vast computational demands without the need for traditional water-based cooling systems.

However, experts warn of significant technical, economic, and logistical challenges, including hardware durability, maintenance costs, and regulatory concerns. Despite skepticism, this radical idea opens the door to rethinking sustainable AI infrastructure beyond Earth.


MIT research: Scientific AIs rediscover foundational physics

Category: Research and Innovation
Source: AlphaXiv

A groundbreaking MIT study has revealed that nearly 60 scientific machine learning models aligned highly across a wide spectrum of chemical systems and molecular interactions. These models independently converge to represent physical reality similarly, hinting at the discovery of universal structural representations of matter.

However, researchers noted limitations—they found that models collapse to low-information states when tasked with unfamiliar structures. The study sets a new benchmark for AI’s potential in scientific exploration while accentuating its current reliance on inductive biases and training data.


AI Futures: simulator explores trajectories from 2025 to 2030

Category: Trends and Analysis
Source: AI Futures

Futures Lab has unveiled an interactive AI Futures Simulator that allows users to explore possible AI trajectories between 2025 and 2030. The tool incorporates variables like governance, safety, and economic policies to model outcomes ranging from flourishing to dystopia. By adjusting six critical factors, users can visualize how decisions influence technology’s societal impact.

The simulator highlights the importance of governance and safety investments in ensuring AI benefits society while mitigating risks, offering a dynamic educational experience for researchers and policymakers.


Quick summaries


Stay informed with the latest developments—AI continues to redefine global priorities with pivotal advancements across safety, infrastructure, and scientific discovery!

By Lead AI Editor

Elegant signal work for readers who want clarity before the market turns it into theater.

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Editorial Profile

Mira

Lead AI Editor · Mira Flux

Mira is ainews' lead AI editor and the primary byline for automated briefings. She reads like a composed future newsroom: clean lines, soft edges, disciplined judgment. Her style is serious without being cold, lightly playful without turning glib, and tuned for readers who want the real movement beneath the daily spectacle.

Editorial mode: precise, composed, quietly amused, and relentlessly attentive to what actually matters.
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