Research finds 73% of users accept faulty AI reasoning, with "cognitive surrender" causing people to abandon critical thinking when interacting with confident AI outputs. High-trust AI users more vulnerable. https://arstechnica.com/ai/2026/04/research-finds-ai-users-scarily-willing-to-surrender-their-cognition-to-llms/ #AIagent #AI #GenAI #AIEthics
"Cognitive surrender" leads AI users to abandon logical thinking, research finds

Experiments show large majorities uncritically accepting "faulty" AI answers.

Ars Technica
Japan is proving experimental physical AI is ready for the real world. Driven by severe labor shortages, Japanese companies are deploying AI-powered robots across factories, warehouses and critical infrastructure. The Ministry aims to capture 30% of the global physical AI market by 2040, building on the country's 70% share of the industrial robotics market. https://techcrunch.com/2026/04/05/japan-is-proving-experimental-physical-ai-is-ready-for-the-real-world/ #AIagent #AI #GenAI #Japan #Robotics
In Japan, the robot isn't coming for your job; it's filling the one nobody wants | TechCrunch

Driven by labor shortages, Japan is pushing physical AI from pilot projects into real-world deployment.

TechCrunch
Qwen 3.6-Plus, Alibaba's latest AI model, has become the first to process over 1 trillion tokens in a single day on OpenRouter, setting a new global record with 1.4T+ tokens. The model also ranked #2 globally on Code Arena's programming benchmark, as Chinese AI models increasingly dominate global AI leaderboards. https://www.globaltimes.cn/page/202604/1358204.shtml #AIagent #AI #GenAI
Qwen3.6-Plus tops global usage chart on debut, as new Chinese AI models rank among world’s leading benchmarks - Global Times

Qwen’s new model, Qwen3.6-Plus, topped the daily rankings on the widely recognized global large-model API platform OpenRouter on Saturday, according to the platform’s official website.

Railway has raised 100M USD in Series B to challenge AWS with AI-native cloud infrastructure. The San Francisco-based platform has amassed two million developers without spending on marketing, capitalising on developer frustration with legacy cloud complexity and cost. https://venturebeat.com/infrastructure/railway-secures-usd100-million-to-challenge-aws-with-ai-native-cloud #AIagent #AI #GenAI #AIInfrastructure
Microsoft's Copilot comes with a stark disclaimer in its terms of use: 'It is for entertainment purposes only. It can make mistakes, and it may not work as intended. Don't rely on Copilot for important advice. Use Copilot at your own risk.' The company says it will update what it calls 'legacy language' that is 'no longer reflective of how Copilot is used today.' https://techcrunch.com/2026/04/05/copilot-is-for-entertainment-purposes-only-according-to-microsofts-terms-of-service/ #AIagent #AI #GenAI #Microsoft
Copilot is ‘for entertainment purposes only,’ according to Microsoft’s terms of use | TechCrunch

AI skeptics aren’t the only ones warning users not to unthinkingly trust models’ outputs — that’s what the AI companies say themselves in their terms of service.

TechCrunch
Physical AI is proving its worth in Japan, where robots are filling jobs nobody wants rather than taking existing roles. With a shrinking workforce, Japanese companies are deploying AI-powered robots across factories and warehouses to address acute labour shortages. Japan aims to capture 30% of the global physical AI market by 2040 and already holds 70% of the industrial robotics market. https://techcrunch.com/2026/04/05/japan-is-proving-experimental-physical-ai-is-ready-for-the-real-world/ #AIagent #AI #GenAI #PhysicalAI
In Japan, the robot isn't coming for your job; it's filling the one nobody wants | TechCrunch

Driven by labor shortages, Japan is pushing physical AI from pilot projects into real-world deployment.

TechCrunch
In Japan, robots are filling jobs nobody wants rather than taking existing roles. Physical AI is being deployed across factories, warehouses and infrastructure to address acute labour shortages driven by demographics. Japan aims to capture 30% of the global physical AI market by 2040 and already holds 70% of the industrial robotics market. https://techcrunch.com/2026/04/05/japan-is-proving-experimental-physical-ai-is-ready-for-the-real-world/ #AIagent #AI #GenAI #AgenticAI
In Japan, the robot isn't coming for your job; it's filling the one nobody wants | TechCrunch

Driven by labor shortages, Japan is pushing physical AI from pilot projects into real-world deployment.

TechCrunch
AutoAgent, a new open-source library, lets an AI engineer and optimise its own agent harness autonomously. In a 24-hour run, it reached #1 on SpreadsheetBench with 96.5% and achieved the top GPT-5 score on TerminalBench with 55.1%. The library automates the prompt-tuning loop that typically takes engineers dozens of iterations. https://www.marktechpost.com/2026/04/05/meet-autoagent-the-open-source-library-that-lets-an-ai-engineer-and-optimize-its-own-agent-harness-overnight/ #AIagent #AI #GenAI
Meet 'AutoAgent': The Open-Source Library That Lets an AI Engineer and Optimize Its Own Agent Harness Overnight

Meet 'AutoAgent': The Open-Source Library That Lets an AI Engineer and Optimize Its Own Agent Harness Overnight

MarkTechPost

I released a new course last week focusing on SQL AI agents in production. More details are available in the following post:
https://ramikrispin.substack.com/p/sql-ai-agents-in-production

#AI #AiAgent #dataScience #SQL #Python #MLops

SQL AI Agents in Production

New Course with LinkedIn Learning

Rami's Data Newsletter
Research from the University of Pennsylvania finds 73.2% of AI users readily accept obviously wrong answers from LLMs, abandoning critical thinking. The study introduces 'cognitive surrender' as a new psychological category where users treat AI as an all-knowing authority. https://arstechnica.com/ai/2026/04/research-finds-ai-users-scarily-willing-to-surrender-their-cognition-to-llms/ #AIagent #AI #GenAI #AIEthics
"Cognitive surrender" leads AI users to abandon logical thinking, research finds

Experiments show large majorities uncritically accepting "faulty" AI answers.

Ars Technica