The latest info from Jason and his special guests.
AI Just Broke Vulnerability Management Practices
Palo Alto Networks found 75 vulnerabilities in one month using Anthropic Mythos and OpenAI GPT-5.5-Cyber — a 7x increase over conventional methods. Here's what the 3-to-5-month countdown means for enterprise security teams.
GPT-5.5 Cyber and OpenAI Daybreak: What AI Security Leaders Need to Know
OpenAI’s cyber model and Daybreak program point to the next AI security operating pattern: trusted access, evidence, remediation workflow, and auditability.
GPT-5.5 Instant: The Daily Driver Just Got a Brain Transplant
OpenAI replaced ChatGPT's default model for 500M+ users with GPT-5.5 Instant: 52.5% fewer hallucinations, memory sources audit trail, and the MRC open compute standard. Here's what enterprise operators need to act on now.
GPT-5.5 Matched Mythos: Is Anthropic’s Safety Restriction Just Safety Theater?
UK AISI tested GPT-5.5 and Anthropic Mythos on expert cybersecurity tasks. GPT-5.5 scored 71.4% vs Mythos 68.6% — while being publicly available. Here's what enterprise security teams need to know.
Why AI Is Failing (And It’s Not the Model’s Fault)
95% of enterprise AI pilots fail — and the failure rate is flat across every model generation. Here are the 4 failure modes killing your AI program and the 5 practices the top 5% use to get real EBITDA impact.
Why AI Pilots Fail: The Micro-Productivity Trap Explained
Most enterprise AI pilots fail not because the technology is bad — but because the strategy is lazy. Here's the micro-productivity trap, the 4-step fix, and how to get 10-25% EBITDA gains from AI transformation.
OpenAI on AWS Bedrock: What GPT-5.5, Codex, and Managed Agents Mean for Enterprise AI
OpenAI on AWS Bedrock changes the enterprise AI conversation: model access, managed agents, cloud governance, and what leaders should evaluate before deployment.
The Great AI Realignment: Microsoft, OpenAI & the Geopolitical Firewall
Microsoft ends OpenAI's Azure exclusivity as China forces Meta to unwind its $2B Manus acquisition. Here's what the AI realignment means for enterprise operators in 2026.
DeepSeek V4: Is This the New Open-Source AI Leader?
DeepSeek V4 drops with 1.6T parameters, a 1M-token context window, and API pricing 88% cheaper than GPT-5.5. Here's what the benchmarks say, the distillation controversy explained, and 5 use cases you can test today.
GPT-5.5: Is This the New Leading AI Model?
OpenAI released GPT-5.5, its smartest agentic model yet. Here's what the benchmarks mean, 5 real-world use cases you can try today, and a 3-step operator action plan.
OpenAI Expands Codex: Desktop AI Agent
OpenAI turned Codex into a desktop AI agent that sees your screen, clicks apps, and runs background tasks. Here's what enterprise operators need to know.
Anthropic Releases Opus 4.7: Safer Prelude to Mythos
Claude Opus 4.7 is Anthropic's most powerful generally available AI model — and their safety test bed before Mythos Preview goes public. Here's what operators need to know.
VISOR Turns Visual RAG into an Agentic Workflow
VISOR turns visual RAG into a dynamic agentic workflow with iterative search and over-horizon reasoning. Learn how it solves visual evidence sparsity and search drift — and what enterprise operators need to do now.
GPT-5.4-Cyber: OpenAI vs. Anthropic Mythos
OpenAI launched GPT-5.4-Cyber, a cyber-permissive AI model for security defenders. Is this OpenAI's strategic answer to Anthropic's Claude Mythos Preview? Here's what the AI cyber arms race means for your organization.
Meta Launches Muse Spark: Multi-Agent AI for 3 Billion Users
Meta's Muse Spark launches multi-agent AI to 3 billion users. Learn how parallel subagents, multimodal perception, and the social graph moat change everything for operators.
Claude Mythos Preview and Project Glasswing: What AI Vulnerability Discovery Means for Leaders
Claude Mythos Preview and Project Glasswing show how AI vulnerability discovery is changing cybersecurity, governance, remediation, and executive risk decisions.
Top AI Stories This Week: April 6th
Also published on LinkedIn AI Pathfinder Newsletter. Is OpenAI cracking under its own weight? The most anticipated IPO in tech history is turning into a governance disaster in slow motion. If your startup loses three leaders in a week, that is a crisis. If OpenAI does it, that is apparently just Monday. But beneath the surface of the executive shuffle lies [...]
The One-Person Billion Dollar Company Is Here
The holy grail of the AI era has just been achieved. Or has it? For the last two years, Silicon Valley has been whispering about the myth of the “one-person billion-dollar company.” It was a fun thought experiment, but mostly just seen as a theoretical endpoint of AI leverage. But as of this week, it is no longer theoretical. It is [...]
AI Is Leaving Earth: The Race to Build Data Centers in Orbit
AI Pathfinder, Issue #36 For the last two years, the biggest bottleneck in artificial intelligence hasn't been algorithms or data. It's been concrete, steel, and the electrical grid. Training frontier models requires gigawatt-scale power. Data centers face multi-year build delays, grid connection queues, and local zoning battles. The physical infrastructure of Earth is struggling to keep up with the compute demands [...]
Claude Code Source Leak: Anthropic’s Biggest Mistake
AI Pathfinder, Issue #35 The Claude Code Leak: By the Numbers Anthropic just handed the entire AI industry the blueprints to its most advanced agentic system, Claude Code. In what may be the most consequential mistake in agent history, Anthropic accidentally exposed the internal source code for Claude Code, their flagship AI coding assistant. Over 512,000 lines of production-grade TypeScript spread [...]
Claude Code Can Now Use Your Computer. Good or Bad?
AI Pathfinder, Issue #34 The line between AI that writes code and AI that uses it just disappeared. This morning, Anthropic shipped Computer Use for Claude Code. It’s a feature that sounds simple on the surface but represents a fundamental shift in how we interact with AI development tools. Claude can now open your apps, click through your UI, and test [...]
Why Most AI Pilots Die (And What Survivors Do Differently)
Most AI pilots do not die because the models are weak. They die because the operating model around them is weak. And when that happens, the cost is not just a stalled experiment. It is wasted budget, delayed workflow improvement, leadership fatigue, user skepticism, and a harder sell for the next AI initiative that comes behind it. That is the uncomfortable [...]
Blind Coding Is Here: 5 AI Signals You Can’t Ignore
The job of a software developer is about to be completely rewritten. For the last 40 years, the fundamental unit of work has been a human engineer translating a problem into code. That era is over. The new unit of work is the autonomous loop. This week, five distinct signals emerged that show this isn’t a theoretical future. It’s a present-day [...]
Sora Is Dead. And It Has Nothing to Do With Video.
AI Pathfinder, Issue #32 In September 2025, OpenAI launched Sora to the world with a TikTok-style interface, a billion-dollar Disney partnership, and the kind of press coverage that money can't buy. It hit number one in the Apple App Store. Then it flatlined. By late March 2026, OpenAI had quietly pulled Sora from the API, removed it from ChatGPT, and walked [...]
Cisco DefenseClaw: AI Agent Security for Enterprise
OpenClaw exposed 135K+ instances and 800+ malicious skills. Jason Fleagle breaks down Cisco DefenseClaw — the open-source governance layer that finally makes AI agents enterprise-ready.
Start the Conversation
We have a proven track record of empowering entrepreneurs and organizations for greatness.
Contact us now to start the conversation.
Buyer outcome focus
Connect this page to the outcome the reader wants
This content connects the business decision, buyer outcome, risk reduction, and next step more clearly.
Decision supported
- What to fund, govern, pilot, or pause
- Who should own the next step
- What artifact would create progress
Outcomes emphasized
- Clarity, risk reduction, and accountability
- Better prioritization and fewer disconnected AI efforts
- More practical adoption tied to workflow value
Artifacts to create
- Roadmap, workshop summary, risk register, scorecard, or pilot scope
- Owner map and next-step plan
- Executive-ready decision memo
Need to make this practical?
Use the next conversation to connect this topic to decisions, owners, artifacts, risks, and an execution path.

























