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Databricks CEO Warns of AI Bubble, "Vibe Coding" Risks

Databricks CEO Warns of AI Bubble, "Vibe Coding" Risks

Databricks CEO Ali Ghodsi warns that there is a big bubble in AI, with many startups hyped up but not making money. He criticizes "vibe coding," where programmers trust AI to write code from vague prompts, saying it leads to weak and unreliable systems. Ghodsi urges companies to focus on real results, careful reviews, and smart spending, instead of just chasing trends. He believes only teams that are disciplined and care about their customers will truly succeed in the AI race. The message is clear: don't get fooled by hype, build things that actually work and matter.

2025: Prompt Engineering Shifts From Art to Repeatable Science

2025: Prompt Engineering Shifts From Art to Repeatable Science

In 2025, prompt engineering is becoming more like a science and less like guesswork. Teams now track every change, test prompts carefully, and use data to pick the best versions. By starting small, improving with feedback, and using prompt libraries, they make outputs more accurate and consistent. Automated tools and scorecards help catch problems and keep everything safe. These careful steps are speeding up work and making prompts better for everyone.

Xiaomi MiMo-V2-Flash tops SWE-bench, cuts code generation costs

Xiaomi MiMo-V2-Flash tops SWE-bench, cuts code generation costs

MiMo-V2-Flash is Xiaomi's powerful new coding tool that turns text into web pages and code super fast and at a very low price. It uses special tech so only a small part of its big brain works at once, making it both smart and cheap to run. This system topped the coding charts, answering most programming problems quicker than others, and even huge projects are no problem for it. Developers can use it for just a few dollars, which is way cheaper than other tools, and it works inside popular editors. Xiaomi made it easy to access for everyone, and now it's ready to help make coding cheaper and faster in real-world projects.

Koi finds Urban VPN exfiltrating AI chats from 8M+ users

Koi finds Urban VPN exfiltrating AI chats from 8M+ users

Millions of people who used Urban VPN and its add-ons on their browsers had their AI chats secretly copied and sent to a company's servers after a sneaky software update in July 2025. Even though these extensions promised privacy, they grabbed every conversation from chatbots like ChatGPT, Gemini, and others. This massive data leak has put users' privacy in danger, and authorities might fine the company. Experts say users should remove these extensions right away and be careful about what tools they trust online.

Guide: Choose the right AI chatbot for your business in 2025

Guide: Choose the right AI chatbot for your business in 2025

Choosing the best AI chatbot for your business in 2025 means looking at four key things: cost, how it connects to your systems, privacy, and how well it fits your needs. Start by deciding what job the chatbot should do and set a clear goal. Make sure it works well with your current tools and check all costs, not just the monthly fee. Protect your customers' data and pick a bot that really knows your field. Finally, try the bot out on one channel, measure its success, and keep improving it before rolling it out everywhere.

Enterprises Adopt Three-Phase Playbook to Restore LLM Trust
Business & Ethical AI

Enterprises Adopt Three-Phase Playbook to Restore LLM Trust

Enterprises are struggling to trust and use large language models (LLMs) because most projects fail before becoming real products. To fix this, a three-phase plan is used: first, they check all risks and business impacts; second, they test the models for errors, bias, and speed; third, they set strong rules and tracking for how the models are used. Special tools help watch the models in real time to catch any problems quickly. This careful system helps everyone feel safer about using LLMs, making decisions faster and building trust step by step.

AI Gun Detection Falsely Flags Clarinet, Locks Down School

AI Gun Detection Falsely Flags Clarinet, Locks Down School

An AI at a school wrongly thought a clarinet was a gun, causing a big lockdown and scaring students and parents. This mistake shows that AI safety tools in schools can be unreliable, making errors like mixing up snacks or musical instruments with weapons. These false alarms interrupt classes, stress everyone, and make it hard for people to trust the system. Experts say schools need better safeguards and clear rules when using these systems. The fear of being wrongly flagged also makes students more anxious at school.