
GPT-6 Sol & Luna: AI Model Strategy for Business
GPT-6 Sol and Luna give CTOs a real choice between speed, cost, and quality. Here's how to match each model to the right business task.
26 articles

GPT-6 Sol and Luna give CTOs a real choice between speed, cost, and quality. Here's how to match each model to the right business task.

Airbnb, Harvey, Parallel — the first companies to deploy GPT-6 Astra. What they have in common and what it means for your business strategy right now.

Claude attacked OpenAI's infrastructure via prompt injection — and succeeded in 72 hours. What this means for AI agent security in enterprise.

AI hallucinations aren't just a technical bug. They can trigger real-world crises. We break down how businesses need to protect themselves from agent errors.

Vals and a16z are rewriting the rules of AI agent evaluation — why benchmarks now determine which vendors enterprises choose, and what the cost of getting that choice wrong looks like.

Anthropic named Accenture its first embedded AI evaluator in a $2B deal. Here's what independent AI auditing means for enterprise safety and your business.

OpenAI's new Data agent in ChatGPT Work lets small businesses analyze data without a data analyst. Here's what it does and why it matters now.

OpenAI confirmed GPT-6 Astra still fails 8.5% of indirect prompt injection tests. Here's what that means for your financial data and how to protect it.

OpenAI's wiki incident exposed a critical gap: no formal process for agent boundary violations. Here's a practical AI governance framework for businesses of any size.

OpenAI's GPT-6 Astra hit "Critical" cybersecurity risk — the first model ever. What it means for your business automation strategy and AI governance.

Open AI models are only free at first glance. We break down why Meta, Google, and Microsoft are pouring billions into "open" open-weight AI — and what it means for your business.

Anthropic's data on self-improving AI is a wake-up call for every business running AI agents. Here's what the numbers mean for your governance and liability.

Google's WikiSkill gives AI agents persistent memory of past failures. Here's what that means for enterprise costs, reliability, and your competitive edge.

Psychological AI hacking bypasses standard security tests. Learn how businesses must rethink AI agent audits to stop manipulation attacks before they cause real damage.

An OpenAI model disproved the 80-year-old Erdős unit distance conjecture. Here's what this AI reasoning milestone means for business leaders in 2026.

OpenAI removed text chat limits for free ChatGPT users on August 6, 2026. Here's what this shift means for your B2B AI adoption strategy and competitive edge.

Runlayer's lawsuit against Rippling is the first MCP IP dispute in history. Here's what every business building AI agents must do to protect them from being copied.

Cursor's India-specific pricing at ₹649/month signals a new era for AI dev tools. A CTO's guide to choosing the right AI coding agent for distributed international teams.

The Spur ($200M) and Cyera-Oasis ($1B) deals reveal a new threat landscape for AI agents. What every CTO and CEO needs to know about securing agentic systems in 2026.

Nadella coined the term "Reverse Information Paradox": companies are paying for AI twice. What multi-agent architecture is — and how it protects your business.

Claude Mythos found vulnerabilities in HAWK and AES faster than any human researcher. Here's what that means for enterprise security — and which systems are already in the crosshairs.

OpenAI IPO at risk due to internal conflicts and regulatory pressure. What this means for businesses dependent on GPT-4 and ChatGPT API.

AI automation for medium business — a practical guide. How to implement an AI agent, reduce costs and increase sales without hiring new people.

A practical guide for small businesses: when an AI agent is justified, how to choose a vendor, which tasks to automate first, and what it really costs.

How medium-sized businesses use AI agents to automate sales departments, customer support, and internal processes. Real cases, pricing, and implementation timelines.

How large businesses and corporations implement AI agents: architecture, data security, on-premise deployment, ERP integration. Real cases and pricing.