Hardships in childhood could have lasting effects on the brain, new research shows, with adverse events such as family conflict and poverty potentially affecting cognitive function in kids for several years afterwards.
This study, led by a team from Brigham and Women’s Hospital in Massachusetts, looked specifically at white matter: the deeper tissue in the brain, made up of communication fibers ferrying information between neurons.
“We found that a range of adversities is associated with lower levels of fractional anisotropy (FA), a measure of white matter microstructure, throughout the whole brain, and that this is associated with lower performance on mathematics and language tasks later on,” write the researchers in their published paper.
This month’s AI news covers major breakthroughs, including humanoid robots that run and think faster than humans, and China deploying real robotic AI police on the streets. We also explore DeepMind accidentally breaking its own AI, Microsoft building its most efficient model yet, and Meta releasing a two-trillion-parameter AI called Llama 4. Plus, DeepSeek’s new self-learning AI, China’s ultra-fast AI agents, and next-gen video generators that look more real than reality are changing the game.
A humanoid robot that runs and thinks faster than humans
China’s real AI-powered police robots now patrolling streets
DeepSeek’s new self-learning AI rivaling top-tier models
DeepMind breaks its own AI with a single prompt
Microsoft accidentally creates its most efficient AI yet
Meta releases a massive two-trillion-parameter model
China unveils ultra-fast AI agents and hyper-real video generators
🎥 What You’ll See:
Advanced humanoid AI in action
Robotic cops deployed across Chinese cities
Self-improving AI models that beat OpenAI in key areas
DeepMind’s AI failure revealing system vulnerabilities
Meta’s Llama 4 shaking up the AI model race
China’s AI creating videos that look better than real life
📊 Why It Matters: From real-world AI deployments to record-breaking models, this month shows how fast AI is evolving—reshaping robotics, security, video generation, and self-learning systems in ways we’ve never seen before. #ai #openai #deepseek. Get the best AI news without the noise 👉 https://airevolutionx.beehiiv.com/
🔍 What’s Inside: A humanoid robot that runs and thinks faster than humans. China’s real AI-powered police robots now patrolling streets. DeepSeek’s new self-learning AI rivaling top-tier models. DeepMind breaks its own AI with a single prompt. Microsoft accidentally creates its most efficient AI yet. Meta releases a massive two-trillion-parameter model. China unveils ultra-fast AI agents and hyper-real video generators.
🎥 What You’ll See: Advanced humanoid AI in action. Robotic cops deployed across Chinese cities. Self-improving AI models that beat OpenAI in key areas. DeepMind’s AI failure revealing system vulnerabilities. Meta’s Llama 4 shaking up the AI model race. China’s AI creating videos that look better than real life.
📊 Why It Matters: From real-world AI deployments to record-breaking models, this month shows how fast AI is evolving—reshaping robotics, security, video generation, and self-learning systems in ways we’ve never seen before.
*GUEST BIO:* Janna Levin is a theoretical physicist and cosmologist specializing in black holes, cosmology of extra dimensions, topology of the universe, and gravitational waves.
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It’s hard to interpret the strange results of quantum mechanics, though many have tried. Interpretations range from the outlandish—like the multiple universes of Many Worlds, to the almost mundane, like the very mechanical Pilot Wave Theory. But perhaps we’re converging on an answer, because some are arguing that these two interpretations are really the same thing.
The three-seater Sigma flying vehicle from AltoVolo would feature a tilting jet propulsion system with a promise of a range of 500 miles and a cruising speed of 220 mph.
The vehicle would use batteries for vertical take-off and landing and liquid fuel for long-range flight, according to the company.
An inexpensive paper sensor along with a smartphone-based reader developed by a Washington State University-led team can rapidly provide information on a person’s personal smoke exposure during wildfire season.
