AIFuture
Back to news
IndustryThe Decoder·

The Mathematical AI Safety Institute wants to prove AI is safe the way cryptographers prove codes are unbreakable

The Mathematical AI Safety Institute wants to prove AI is safe the way cryptographers prove codes are unbreakable

Canadian mathematician Jacob Tsimerman, a fresh Fields Medal recipient, has announced the founding of the Mathematical A.I. Safety Institute (MAISI). The article The Mathematical AI Safety Institute wants to prove AI is safe the way cryptographers prove codes are unbreakable appeared first on The Decoder.

This is a summary curated by AIFuture. Read the complete article at the original source:

Read the full story on The Decoder

More AI News

ProductOpenAI

Perplexity trusts GPT-6 Astra with end-to-end systems

Perplexity uses Astra to write communications, change software, and monitor production systems, and checks in much less frequently than with earlier models.

Sep 14, 2026

StartupsTechCrunch

Mecka AI nears $500M valuation in Sequoia-led deal amid rush for robot training data

The round for the two-year-old startup is coming together months after Mecka announced its Series A.

Sep 11, 2026

AI ResearchMarkTechPost

Can LLMs Engineer Their Own Agent Harness? ByteDance Seed’s HarnessDev Says Only 34 of 64 Changes Generalize

ByteDance Seed, SUTD, Georgia Tech, M-A-P, and TokenWave.AI introduce HarnessDev, a benchmark that scores the runnable harness a model builds rather than the answer it returns. Starting from a seed that scores 0, 6 creator LLMs construct harnesses across 5 benchmarks and 2,207 tasks, then evolve them from execution feedback. Self-built harnesses match human references on writing and ML…

Sep 11, 2026

Build the skills behind the headlines

Data ScienceCoursera

Deep Learning Specialization

Five-course series on neural networks, CNNs, sequence models, and transformers from DeepLearning.AI.

Intermediate·Subscription
View Course
Data ScienceedX

CS50's Introduction to AI with Python

Harvard's deep dive into the algorithms behind modern AI — search, knowledge, optimization, and machine learning.

Intermediate·Free / Verified
View Course
Data ScienceCoursera

Machine Learning Specialization

Andrew Ng's flagship program covering supervised and unsupervised learning, neural networks, and best practices for real-world ML.

Beginner·Subscription
View Course

Never miss what matters in AI

Get the most important AI news and course picks in your inbox.