John Ternus to become Apple CEO

All phones sold in the EU to have replaceable batteries from 2027

Qwen3.6-Max-Preview: Smarter, Sharper, Still Evolving

ggsql: A Grammar of Graphics for SQL

Kimi vendor verifier – verify accuracy of inference providers

Jujutsu megamerges for fun and profit

Brussels launched an age checking app. Hackers took 2 minutes to break it

Quantum Computers Are Not a Threat to 128-Bit Symmetric Keys

How to make a fast dynamic language interpreter

Anthropic says OpenClaw-style Claude CLI usage is allowed again

Modern Rendering Culling Techniques

Ternary Bonsai: Top Intelligence at 1.58 Bits

A Roblox cheat and one AI tool brought down Vercel's platform

Soul Player C64 – A real transformer running on a 1 MHz Commodore 64

Japan's cherry blossom database, 1,200 years old, has a new keeper

Air is full of DNA

Monero Community Crowdfunding System

How a subsea cable is repaired

Eight years ago, my then-fiancée and I decided to get a prenup, so we hired a local mediator. The meetings were useful, but I felt there was no systematic process to produce a final agreement. So I started to think about this problem, and after a bit of research, I discovered the Nash bargaining solution.<p>Yet if John Nash had solved negotiation in the 1950s, why did it seem like nobody was using it today? The issue was that Nash&#x27;s solution required that each party to the negotiation provide a &quot;utility function&quot;, which could take a set of deal terms and produce a utility number. But even experts have trouble producing such functions for non-trivial negotiations.<p>A few years passed and LLMs appeared, and about a year ago I realized that while LLMs aren’t good at directly producing utility estimates, they are good at doing comparisons, and this can be used to estimate utilities of draft agreements.<p>This is the basis for Mediator.ai, which I soft-launched over the weekend. Be interviewed by an LLM to capture your preferences and then invite the other party or parties to do the same. These preferences are then used as the fitness function for a genetic algorithm to find an agreement all parties are likely to agree to.<p>An article with more technical detail: <a href="https:&#x2F;&#x2F;mediator.ai&#x2F;blog&#x2F;ai-negotiation-nash-bargaining&#x2F;" rel="nofollow">https:&#x2F;&#x2F;mediator.ai&#x2F;blog&#x2F;ai-negotiation-nash-bargaining&#x2F;</a>

Show HN: Mediator.ai – Using Nash bargaining and LLMs to systematize fairness

The Beauty of Bonsai Styles