Google’s Gemini Auto Browser will change the GamePlus: Google’s Gemini Auto Browser will change the Game
Will thinking bodies be a hot market this year? Maybe we share why. Google’s Auto Browser will change the game by actually doing the work for you, no clicks, just instructions. At the same time, DeepSeek is proving that efficiency, not brute force, is what truly scales. Let’s dive in. Stay curious.
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From Frankenstein to AI Companions The Rise of Thinking Bodies
One of the best movies of 2025 for me was Frankenstein. Guillermo del Toro took Mary Shelley’s masterpiece and gave it new life, literally. Watching it, I couldn’t help but see parallels with where AI is today and where we’re clearly heading. In the film, Frankenstein is a fully functional being assembled from different parts, powered by a brain that learns, reasons, and improves with time and experience. The creator has his story, but Frankenstein has his own version of it, too. That part feels especially familiar. In today’s tech landscape, LLMs are the brain. They’re evolving fast, and inference is pushing them toward reasoning capabilities that won’t mirror humans, but also won’t need to. They’re built differently. They absorb knowledge differently. And now, we’re watching robotics, the global race to attach those brains to bodies. This isn’t a secret anymore. Soon, most human interaction with AI will be through voice, not keyboards. And when those voices live inside robots, humanoids, and digital companions with human-like forms, talking to AI will feel less like “using software” and more like, well… having a human conversation. Possibly one that never interrupts you. Or forgets what you said five minutes ago. I recently read about how advanced the sex doll industry has become, and when you combine that with the fact that 10 million+ people use Replika daily (2023 numbers), plus millions more creatively jailbraking LLMs for companionship and sexual conversations, the direction is obvious. Human-like humanoids we can talk to, work with, rely on, and yes, have sex and form bonds with, will be a massive industry. Frankenstein wasn’t really about monsters. And this time, the monster ships with software updates. 🛠️ AI Jobs CornerApply Today - Open Positions.
Are DeepSeek’s LLMs More Efficient Than Bigger Models?
DeepSeek’s Engram shows how Chinese AI labs are advancing faster by focusing on efficiency, not just scale. Instead of forcing large language models to repeatedly recompute common phrases and facts, Engram adds a conditional memory layer that lets models look up frequent language patterns in O(1) time, like giving the model a second brain. This delivers strong gains across knowledge, reasoning, code, and long-context tasks (including a +12.8 jump in long-context retrieval) at the same parameter count and FLOPs as traditional MoE models. More importantly, it cuts wasted computation, shifts work from power-hungry GPUs to cheap memory, and enables massive memory tables to be offloaded to the CPU with <3% overhead. The result is higher performance with lower data-center and electricity demand, highlighting a key advantage of Chinese AI teams: architectural innovation that treats compute, power, and infrastructure as scarce resources, not unlimited ones. Google’s Gemini Auto Browser will change the Game
Google is testing Auto Browse for Gemini, giving the AI direct control over Google Chrome. This follows agentic browsing moves from Perplexity and OpenAI, where AI agents already perform delegated web research and actions. Will AI Browsers change the game?1. Browsers become execution layers, not just viewers 2. Agentic browsing becomes mainstream 3. Search → Action → Outcome
4. Premium AI = productivity leverage
5. The web becomes “AI-first” with agent navigation, tool calling, structured extraction, and Deterministic actions. Human UX still matters, but machine UX becomes equally critical.
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Wednesday, January 14, 2026
Google’s Gemini Auto Browser will change the Game
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