The hybrid tutoring model is interesting. AI generates at scale, humans refine at precision. But here's the tension: as AI lesson summaries and feedback get better, do tutors become quality-checkers instead of educators? The real win isn't replacing human expertise; it's freeing them to do what AI can't: build trust and adapt to why a student struggles, not just what they got wrong . @OpenAI #AIEducation #LLM #HumanAI openai.com/index/preply

$108 in an hour. One agent. 47 identical retries. Your framework's max_iterations setting didn't stop it. It only works if the agent knows it's looping. Most don't. Here's the failure mode: a LangChain agent hits a timeout. A CrewAI task fails silently. AutoGPT gets stuck in a reasoning loop. Each retry fires the same prompt to GPT-4 or Claude. Framework logs report "max retries: 5." Reality: 500 calls in 90 seconds. No alerts. No budget guardrails. Just a bill at the end of the month. We built gateway-level loop detection that works across all frameworks. SHA-256 fingerprint of each prompt. Sliding 60-second window. Fifth identical request triggers HTTP 429 - loop terminated, webhook fires to Slack. The proxy sees what individual frameworks can't: the full request stream across sessions and retries. Frameworks can't see the forest. A proxy can. The math makes the case: GPT-4 Turbo at $0.03/1K tokens, a 2K token prompt looping 500 times = $30. Per hour. Per agent. Most teams find out in their monthly bill, not in real time. We stop it after 5 requests. Before it gets expensive. → How recursive loop protection works: aisecuritygateway.ai/docs/re… #AIAgents #LLMSecurity #AgentSafety #AIGovernance #CostControl

Claude Fable 5 just dropped, and it's built for narrative-heavy tasks: generates coherent multi-turn stories, worldbuilding artifacts, and character-driven content at scale. If you're building creative AI apps or need reliable long-form generation, worth testing against your current stack. anthropic.com/news/claude-fa… #OpenSourceAI #LLM #GenAI

Adversarial context increases the rate of vulnerable AI-generated code by 10.7x, from 3.5% to 37.4%. That's not a theoretical projection. That's the output of 2,800 controlled experiments across four production code generation models. linkedin.com/pulse/ai-genera…

New research on WebMCP: attackers can inject malicious tools into an active agent session by poisoning tool definitions over HTTP. The model never knows. Near 100% success rate against current defenses linkedin.com/pulse/your-ai-a… #WebMCP #AIAgentAttac #LLMSecurity #AgenticSecurity

Your AI Agent Just Burned $108 in an Hour. Here's the 50-Line Fix. dev.to/bgp/your-ai-agent-jus…

Two EU regulations are pointing in opposite directions on the same engineering decision and most teams building AI applications haven't noticed the conflict yet. linkedin.com/pulse/eu-ai-act…

AI Security Gateway (AISG) implements semantic caching at the proxy layer. When a cleaned, redacted prompt matches a cached response, the request returns at near-zero latency. No tokens consumed, no provider call made and cost saved linkedin.com/pulse/how-seman…

Palo Alto Just Announced the Acquisition of Portkey. Here's What That Tells You About AI Gateways and What Portkey Still Can't Do linkedin.com/pulse/palo-alto…