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AI Revolution 2024: Multimodal Intelligence, Open Source Models, and Edge Computing Transform Technology Landscape

Tech in 60: Trends You Need Now AI is no longer just a feature; it is becoming the foundation of the entire tech stack. Google’s November update introduced Gemini 3, billed as its most powerful multimodal and agentic model yet, able to understand...

An episode of the Tech in :60: Trends You Need Now podcast, hosted by Inception Point Ai, titled "AI Revolution 2024: Multimodal Intelligence, Open Source Models, and Edge Computing Transform Technology Landscape" was published on December 6, 2025 and runs 3 minutes.

December 6, 2025 ·3m · Tech in :60: Trends You Need Now

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Tech in 60: Trends You Need NowAI is no longer just a feature; it is becoming the foundation of the entire tech stack. Google’s November update introduced Gemini 3, billed as its most powerful multimodal and agentic model yet, able to understand text, images, audio, and video in a single flow, and even act as a “vibe coder” that can build apps from natural language. According to Google, Gemini 3 is designed to power highly personalized assistants and behind-the-scenes agents that quietly orchestrate work, shopping, and entertainment.At the same time, Google’s SIMA 2 project is pushing toward embodied intelligence. The company reports that SIMA 2 can follow language instructions inside complex virtual worlds, reason about goals, and continually improve, a step many researchers see as a bridge between today’s chatbots and tomorrow’s general-purpose digital workers.The race is not confined to the big platforms. MarketingProfs notes that Chinese startup DeepSeek has released open-source models claimed to rival OpenAI’s GPT-5 and Google’s Gemini 3 on elite math, coding, and reasoning tests. Built with sparse attention architectures and huge context windows, these models are being released under permissive licenses, putting frontier-level capabilities into the hands of startups, researchers, and even hobbyists, while regulators in the US and Europe scrutinize the data and national security implications.AI isn’t just about language. Google highlights how AlphaFold’s protein-folding breakthrough, now recognized with a Nobel Prize in Chemistry, is reshaping drug discovery and biology, showing that AI has matured into a core scientific instrument. Governments are also moving: recent briefings summarized by MarketingProfs describe large public–private AI initiatives aimed at cutting energy costs, accelerating simulations, and modernizing infrastructure, with companies like Nvidia and Dell at the center.On the hardware side, Gear Patrol reports that 2025’s most buzzed-about gadgets include Samsung’s tri-fold smartphone, blurring the line between phone, tablet, and laptop, and a wave of hi-fi gear that leans on AI for adaptive sound, smarter noise control, and room-aware tuning.For software builders, CoAI.io’s latest analysis argues that 2026 will be the year edge AI becomes standard practice, pushing intelligence closer to devices for faster, more private experiences, while early quantum components begin sneaking into data-heavy workflows.For listeners, the throughline is simple: agentic AI, open-source power models, edge intelligence, and shape-shifting hardware are converging into a tech environment that is more capable, more ambient, and much harder to ignore.Thank you for tuning in, and don’t forget to subscribe. This has been a quiet please production, for more check out quiet please dot ai.Some great Deals https://amzn.to/49SJ3QsFor more check out http://www.quietplease.aiThis content was created in partnership and with the help of Artificial Intelligence AI

Tech in 60: Trends You Need Now

AI is no longer just a feature; it is becoming the foundation of the entire tech stack. Google’s November update introduced Gemini 3, billed as its most powerful multimodal and agentic model yet, able to understand text, images, audio, and video in a single flow, and even act as a “vibe coder” that can build apps from natural language. According to Google, Gemini 3 is designed to power highly personalized assistants and behind-the-scenes agents that quietly orchestrate work, shopping, and entertainment.

At the same time, Google’s SIMA 2 project is pushing toward embodied intelligence. The company reports that SIMA 2 can follow language instructions inside complex virtual worlds, reason about goals, and continually improve, a step many researchers see as a bridge between today’s chatbots and tomorrow’s general-purpose digital workers.

The race is not confined to the big platforms. MarketingProfs notes that Chinese startup DeepSeek has released open-source models claimed to rival OpenAI’s GPT-5 and Google’s Gemini 3 on elite math, coding, and reasoning tests. Built with sparse attention architectures and huge context windows, these models are being released under permissive licenses, putting frontier-level capabilities into the hands of startups, researchers, and even hobbyists, while regulators in the US and Europe scrutinize the data and national security implications.

AI isn’t just about language. Google highlights how AlphaFold’s protein-folding breakthrough, now recognized with a Nobel Prize in Chemistry, is reshaping drug discovery and biology, showing that AI has matured into a core scientific instrument. Governments are also moving: recent briefings summarized by MarketingProfs describe large public–private AI initiatives aimed at cutting energy costs, accelerating simulations, and modernizing infrastructure, with companies like Nvidia and Dell at the center.

On the hardware side, Gear Patrol reports that 2025’s most buzzed-about gadgets include Samsung’s tri-fold smartphone, blurring the line between phone, tablet, and laptop, and a wave of hi-fi gear that leans on AI for adaptive sound, smarter noise control, and room-aware tuning.

For software builders, CoAI.io’s latest analysis argues that 2026 will be the year edge AI becomes standard practice, pushing intelligence closer to devices for faster, more private experiences, while early quantum components begin sneaking into data-heavy workflows.

For listeners, the throughline is simple: agentic AI, open-source power models, edge intelligence, and shape-shifting hardware are converging into a tech environment that is more capable, more ambient, and much harder to ignore.

Thank you for tuning in, and don’t forget to subscribe. This has been a quiet please production, for more check out quiet please dot ai.

Some great Deals https://amzn.to/49SJ3Qs

For more check out http://www.quietplease.ai

This content was created in partnership and with the help of Artificial Intelligence AI
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