Ling-1T Leads Non-Reasoning Performance, MCP Poses Security Risks, California Regulates AI, and
The Batch AI News and Insights: In last week’s letter, I explained how effective agentic AI development needs a disciplined evals and error...
Secretary of War Pete Hegseth Calls Claude a Security Risk, Replaces It With GPT Modelsdeeplearning.ai
From AI Experiments to AI Productsdeeplearning.ai
Zhipu’s GLM-Image Blends Transformer and Diffusion Architectures For Better Text in Imagesdeeplearning.ai
Independent AI Testing Authority Turns From Saturated Knowledge Benchmarks to Harder Business Testsdeeplearning.ai
Stanford Researchers Coin “Moloch’s Bargain,” Show Fine-Tuning Can Affect Social Valuesdeeplearning.ai
Data Points: The latest in AI from Mar. 21 to Mar. 27, 2024deeplearning.ai
Cloud Security Trends & Challenges: Complete GuideCybersecurity Exchange
Security Implementation for Responsible AI: A Practical FrameworkCybersecurity Exchange
Mintlify Alternatives: What to Consider (and Why There's No True Substitute)Mintlify
The Proven Redis PerformanceRedis
How to Conduct an AI Agent Security Audit [+ Checklist]Zapier
6 ways to use the Zapier Zoho CRM integrationZapier
From Automation Veteran to AI Pioneer: How Evan Nison transformed his agency with Zapier MCPZapier
DevSecOps: Why Security Shouldn’t be Sacrificed for SpeedThenewstack
Security Considerations for API-Driven Apps Deployed to CloudThenewstack
Oso Unbundles Security AuthorizationThenewstack
Pulumi ESC and External Secrets Operator: The Perfect Solution for TodayPulumi
IaC Best Practices: Implementing RBAC and SecurityPulumi
Neo Integrations: MCP Servers and Cloud CLIsPulumi
How to serve trillions of tokens for trillion-parameter coding agentsModal
