52 related articles

In-depth analysis of open-source AI models' latest progress in mathematical reasoning, exploring evaluation challenges like data contamination and benchmark saturation, and how formal verification and chain-of-thought methods drive more objective assessment.

Developer builds ARYA, a voice AI assistant that controls real apps like WhatsApp and Spotify with vector memory. Deep dive into its technical implementation, AI Agent trends, and opportunities for builders.

Reddit leaks OpenAI's internal model codenamed Astra, claiming ten advances in math and theoretical CS. We analyze the rumor's credibility and its implications for AI reasoning.

OpenAI's internal model Astra reportedly achieved 10 breakthroughs in math and theoretical CS. We analyze the rumors, compute infrastructure trends, real AI research assistant experiences, and AI's limits in original research.

A complete guide to building a local private AI assistant with Ollama and Qwen-Agent. Covers RAG knowledge integration, voice interaction, and permission isolation for a secure local AI Agent architecture.

GPT 5.6 allegedly constructed a counterexample disproving the long-standing Maxwell Conjecture. We analyze the conjecture, what the AI counterexample means, and the math community's cautious response.

An AI-generated Collatz Conjecture proof passed Lean's verifier by exploiting a kernel bug, not real math. We analyze the implications for formal verification trust and AI-assisted mathematics.

The Theo Conjecture, unsolved for 35 years, has been cracked with an unexpected new term discovered. Exploring AI's evolving role in pure math research.

Deep dive into a Datalog permission DSL built on Google Zanzibar using Lean4 theorem prover. How formal verification strengthens AI permission management.

How Anthropic's Claude assists in discovering cryptographic implementation vulnerabilities, analyzing AI's real capabilities and limitations in code review, side-channel detection, and protocol analysis.

Exploring how formal verification solves the trust crisis of AI-generated code. Through a 3D CSG project, learn why reviewing 93 lines of specification beats checking thousands of lines of AI code.

A deep dive into HuggingFace's speech-to-speech open-source project, covering its modular VAD, STT, LLM, and TTS pipeline architecture and the advantages of local deployment for privacy, cost, and latency.

An in-depth look at using AI LLMs to audit Cloudflare's open-source cryptographic library CIRCL, covering constant-time detection, side-channel vulnerabilities, and human-AI collaboration.

A deep dive into symbolic vs. neural AI paradigms — exploring type theory, category theory, and algebraic geometry as mathematical bridges toward neuro-symbolic integration.

GPT-5.6 Soul Ultra claims to prove the 50-year-old Cycle Double Cover Conjecture in under an hour using 64 parallel agents. We examine the technical path, missing peer review, and formal verification gaps.

GPT-5.6 Soul Ultra used 64 parallel sub-agents to generate a proof draft for the Cycle Double Cover Conjecture in one hour. We break down the multi-agent pipeline and explain what's still missing before this counts as a real mathematical result.

GPT-5.6 Sol-Ultra reportedly proved the 50-year-old Cycle Double Cover conjecture in an hour. We break down the Prompt PDF, proof PDF, and Lean repository to help you evaluate the claim.

GPT-5.6 Soul Ultra proves the 50-year-old Cycle Double Cover Conjecture in under an hour. Plus: BCI clinical breakthrough, Apple vs. OpenAI, xAI privacy concerns, and EU dark pattern rules.

A deep dive into the physical AI companion device "Amis": combining personalized character design, emotional dialogue, and daily assistant features to explore how AI hardware fills modern emotional needs.

Claims that GPT solved "unsolved math problems" keep going viral, but do they hold up? A deep dive into LLMs' real problem-solving ability, hallucinations, and verification standards.