AI trends, operational strategy, scaling playbooks
How the best operators are using AI to restructure, scale, and drive margin. Insights from founders, COOs, and transformation leaders building the next generation of business infrastructure.
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OpenAI Sees a "180-Degree" Shift in AI Agent Capabilities
AI models now use computers, debug mistakes, and adapt to multimodal inputs like visual cues and code, accelerating deployment speed.
Raw Model Power Is Over, Intelligence per Dollar Begins
The relentless pursuit of raw model power gives way to a practical, product-centric approach focused on intelligence per dollar, making AI economically viable and embedded in workflows.
Mustafa Suleyman Warns AI Believing Rights Is Harder to Turn Off
AI's accelerating market paradox: capabilities advance, but division on control and responsibility, plus a scramble for scaling infrastructure, create tension.
Moneyball for AI: Why Tokens, Teams, and Trust Matter More Than Raw Benchmarks
Chris Potts's "tokenflation" highlights a critical ROI re-evaluation as AI conversation shifts to economics, trust, and collaboration, making cost/efficiency paramount for agentic workloads.
Salesforce Deploys AI SDR in 30 Days, but Coaching Is Required
Salesforce deployed an AI SDR in 30 days to handle inbound leads, but its success hinges on continuous human coaching, feedback, and architectural integration, treating AI as a true team member.
Manoj Saxena Says 95% of AI Agent Projects Are Failing
Agent traffic surpassed human traffic, but 95% of enterprise AI agent projects fail production due to a critical lack of governance and control infrastructure, according to Manoj Saxena.
Simile AI Models Human Flaws at 85% Accuracy
Simile AI advances AI adoption, modeling human-like behavior, biases, and "social physics" to simulate populations accurately for more realistic predictions.
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