MiniMax M2.7 Self-Evolving AI Model Shows Gains in Coding Benchmarks

Anthropic Claude Co-work Dispatch runs approved desktop tasks from mobile messages, focused on local execution and data ...

New MiniMax M2.7 proprietary AI model is 'self-evolving' and can perform 30-50% of reinforcement learning research workflow

For direct API integration and via third-party provider OpenRouter, MiniMax M2.7 maintains a cost-leading price point of 0.30 dollars per 1 million input tokens and 1.20 dollars per 1 million output ...
Tech Xplore

Shortest paths research narrows a 25-year gap in graph algorithms

Most of you have used a navigation app like Google Maps for your travels at some point. These apps rely on algorithms that ...
NPR

New limits for rent algorithm that prosecutors say let landlords drive up prices

Landlords could no longer rely on rent-pricing software to quietly track each other's moves and push rents higher using confidential data, under a settlement between RealPage Inc. and federal ...
VentureBeat

Moonshot's Kimi K2 Thinking emerges as leading open source AI, outperforming GPT-5, Claude Sonnet 4.5 on key benchmarks

Even as concern and skepticism grows over U.S. AI startup OpenAI's buildout strategy and high spending commitments, Chinese open source AI providers are escalating their competition and one has even ...
Hosted on MSN

I built a chessbot using minimax!

In this video, I demonstrate how I created an AI to play chess using the minimax algorithm. Trump’s shutdown win just landed Republicans with a huge political headache US gets serious about drone ...
GitHub

This a project to teach myself the minimax algorithm, using Connect Four as an example.

You will then be prompted with the game parameters : Width and height of the game board, default is 7x6 (both must be strictly positive) Number of pieces in a row to win, default is 4 (must be ...