Midas AI Launches: The Era of "Proof-Native" Intelligence

A new heavyweight has entered the safety arena today. Midas AI, backed by $10 million in funding from investors at OpenAI, Tesla, and SpaceX, officially launched with a team of 11 International Mathematical Olympiad medalists.

• The Problem: Modern AI produces convincing answers that are often mathematically or logically hallucinated.

• The Solution: Midas is building infrastructure for "proof-native" AI. Instead of just outputting text, their systems generate a "proof of correctness" alongside every answer.

• Target Industries: They are focusing on biotech, defense, and finance—sectors where a 1% hallucination rate can mean a billion-dollar disaster. Read more: Midas Launches to Mathematically Secure AI Systems

The Public Sector Paradox: 70% Usage, 18% Effectiveness

A massive global report released today by Public First and Google reveals a startling gap in how governments handle AI.

• The Stat: Over 70% of public servants worldwide now use AI in their daily work.

• The Failure: Only 18% of those same workers believe their governments are using the technology effectively.

• The Barrier: The "Public Sector AI Adoption Index 2026" identifies "lack of leadership guidance" and "fear of regulatory blowback" as the primary reasons AI isn't translating into better citizen services. Read more: Over 70% of Public Servants Worldwide Use AI, While Frameworks Evolve

CoreWeave Unveils "ARENA": No More Sandbox Guessing

Cloud giant CoreWeave (now trading on the Nasdaq) launched ARENA (AI-Ready Native Applications) today. This is designed to solve the "inference gap"—where a model works in a demo but fails under real-world load.

• Benchmarking Excellence: ARENA allows developers to test workloads on Nvidia GB300 NVL72 racks before full-scale deployment.

• Efficiency Gains: Early users reported a 30% reduction in Total Cost of Ownership (TCO) and a 2x performance boost compared to last year's hardware. Read more: Introducing CoreWeave ARENA, New Lab for AI Production Readiness

Google Cloud Goes to the Slopes with Team USA

In a high-velocity application of AI, Google Cloud and U.S. Ski & Snowboard announced a new video-analysis tool today.

• Sensors are Out: Traditional motion capture requires bulky wearable sensors.

• Computer Vision is In: Using spatial intelligence from DeepMind, coaches can now map an athlete's body in 3D using nothing but standard smartphone video—even through bulky winter gear. It's currently being used by the Stifel U.S. Freeski Team to refine jumps in near real-time. Read more: Google and Team USA Announce AI-Based Athlete Performance Tool

Prompt of the Day: The "Internal Auditor" Agent

Given the 70% usage/18% effectiveness stat in the public sector, you should use AI to audit your own efficiency. This prompt creates an "ROI Mirror" to see if you're actually saving time or just "AI-procrastinating."

The Prompt:

"Review my last 5 prompts and your responses. Categorize them into 'Administrative Speed-up', 'Critical Reasoning', or 'Creative Expansion'. Based on the length of my prompts and the complexity of your outputs, estimate if I saved more than 15 minutes of manual work. If not, suggest a way I could have phrased my requests to get a more 'demonstrably correct' (Proof-Native) result."