AI News Roundup – August 29, 2025
AI Apocalypse? Why language surrounding tech is sounding increasingly religious
The language used by some Silicon Valley leaders to describe AI’s potential is becoming increasingly religious, using terms like ‘godlike’ and ‘magic intelligence’
AI firm says its technology weaponised by hackers
Hackers are now weaponizing AI chatbots like Anthropic’s Claude to write code for cyberattacks and carry out sophisticated, large-scale theft
Forget data labeling: Tencent’s R-Zero shows how LLMs can train themselve
Tencent’s new R-Zero method allows AI models to train themselves by having a ‘Challenger’ AI create problems for a ‘Solver’ AI, eliminating the need for human data labeling
Microsoft AI launches its first in-house models
Microsoft’s AI division has launched its first in-house models, MAI-Voice-1 and MAI-1-preview, to compete with other top models and tune for specific consumer use cases
The Top 100 [Gen AI] Consumer Apps
A new report on the top 100 consumer AI apps shows the ecosystem is stabilizing, with Google’s products gaining ground on ChatGPT’s lead
Why AI Isn’t Ready to Be a Real Coder
While AI is a powerful coding assistant, it isn’t ready for full autonomy as it struggles with large codebases, complex logic, and creative problem-solving
Large Language Models in equity markets: applications, techniques, and insights
A review of recent studies shows that large language models are transforming stock investing by automating real-time analysis of news and financial data
Nano Banana! Image editing in Gemini just got a major upgrade
Google’s Gemini app has received a major image editing upgrade, powered by a new DeepMind model, that allows for complex edits while maintaining character consistency
NVIDIA Jetson Thor Unlocks Real-Time Reasoning for General Robotics and Physical AI
NVIDIA has launched Jetson Thor, a powerful new robotics computer that enables advanced, real-time visual reasoning directly on the device
AI stocks are in a bubble. Why are so many investors refusing to believe it?
Analysts argue that AI stocks are in a bubble, as high operating costs and thin margins suggest many companies cannot justify their sky-high valuations

