Gemini can see what you see?
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Plus: Gemini can see what you see?
Read time: 5 minutes
Just one day – and already flooded with new AI models and features. It’s a tech showdown between OpenAI and Google and a global race between the U.S. and China.
What are on FIRE 🔥
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AI MODEL
🧠 Gemini 2.5 Pro Is Here – And It Actually Thinks Before It Speaks
Google DeepMind just dropped its smartest AI yet – Gemini 2.5 Pro – and it’s not just about speed or scale anymore. This thing reasons. Like, really thinks through stuff before replying.
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It’s a “thinking model”, trained with techniques like reinforcement learning and chain-of-thought prompting, meaning it doesn’t just spit out predictions — it works through the logic first.
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It’s already beating GPT-4.5 and Claude 3.7 Sonnet in math, science, and coding tasks.
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Scored 63.8% on SWE-Bench Verified, which basically means it’s crushing complex code tasks from minimal input. (Yes, it can build a video game from a single line.)
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Comes with a 1 million token context window (2M on the way!) and handles everything — text, video, images, code — in one go. No duct-taped multimodal hacks here.
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No expensive “test-time tricks” needed. It wins on clean performance.
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Now #1 on the Arena leaderboard.
Why it matters: Gemini 2.5 is different: it’s designed to reason, step by step, more like a human would. It doesn’t need workarounds like “majority voting” to perform well – which also means it’s more efficient and scalable for real use.
This model could be a foundation for the next generation of AI agents – ones that actually understand what they’re doing, not just mimicking patterns. And with long context, native multimodal input, and top-tier coding skills, it’s built for serious work, not just fancy demos.
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TODAY IN AI
AI HIGHLIGHTS
🖼️ OpenAI just launched a new image generation model, fully built into GPT-4o and Sora. It’s their best yet—precise, accurate, and stunningly photorealistic.
🚀 DeepSeek just launched DeepSeek-V3-0324 on Hugging Face! With 37B active parameters per token, it runs smoothly even on a Mac Studio – no data center needed.
🧠 Qwen just launched Qwen2.5-VL-32B-Instruct. Despite being smaller, it beats models like Mistral-Small-3.1 and even the 72B version of Qwen2. Smart fine-tuning and RLHF, it delivers high performance without heavy compute – great news for devs who want power without the cost.
💼 Deloitte just launched AI Advantage for CFOs – a smart new platform built with AWS and Anthropic. It helps finance teams automate work using AI agents that can understand docs, images, audio, … tailored for CFOs.
🎮 Nvidia has released G-Assist, a gaming-focused AI chatbot that runs entirely on your GPU, without needing the cloud. It’s an experimental tool designed to optimize gaming performance even adjust hardware like overclocking or RGB lighting.
🛠️ Pieter Levels, 38, just built a $1M business in 17 days using AI tools and zero code. His latest project, fly.pieter.com, is a browser-based flight simulator made in just 3 hours with tools like Three.js and Cursor. It’s now pulling in $87K/month!
💰 AI Daily Fundraising: Nexthop AI just raised $110M to supercharge cloud networking for AI. Backed by Lightspeed and others, they’re building custom hardware and software to power hyperscale AI clusters faster and smarter.
AI SOURCES FROM AI FIRE
NEW EMPOWERED AI TOOLS
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🦾 Alibaba’s LHM is a new AI model that creates animated 3D avatars from just a single reference image.
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📢 BASE44 2.0 is the all-in-one app building platform. No integrations needed.
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👨🏻💻 LiftmyCV is AI agent that finds jobs and auto-applies on your behalf
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🎯 Lamatic 2.0 is IDE to build & deploy AI agents on serverless
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🎬 Krea Video Training trains AI to create videos in your style
AI QUICK HITS
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🤖 NVIDIA introduced Isaac GR00T N1 — First Open Humanoid AI Model (Link)
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🎵 Anthropic Scores Early Win in AI Music Copyright Battle (Link)
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👨👩👧 Character.ai Lets Parents See Kids’ Bot Chats (Link)
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📸 Gemini Can ‘See’ Screens and Camera Feeds in Real-time (Link)
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🔄 OpenAI Reshuffles Leadership as Sam Altman Shifts Focus to Research (Link)
AI INSIGHTS
🧠 How’s Your “AI Brain” Level? |
We offload a lot these days – calendars, reminders, GPS, writing help, even decision-making. It’s efficient. But it’s also quietly changing how our brains work.
We’ve always used tools to think better: writing, calculators, sticky notes. But now? It’s not just help – it’s replacement. And that’s where things get tricky.
What does the science say?
A growing pile of studies is raising red flags. When we rely on AI too much, we lose critical thinking muscle. Memory, focus, and problem-solving start to weaken. One study found that when people used reminders, brain activity in planning areas dropped significantly.
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Our brains process ~10 bits per second — slower than a 1960s modem.
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Tools like ChatGPT, Google, and smart assistants help us move faster.
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But when we use them too much, we lose something: deep thinking.
“Once you know information is stored outside your brain, you stop holding onto it”
That sounds efficient. But it’s also how you forget your own phone number.
So what’s actually changing?
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Kids now struggle with attention because of constant short-form content.
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Even experienced workers say AI is making them faster, but not sharper.
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Some people now trust AI answers without verifying. That’s not help—that’s dependency.
Are we becoming cognitive misers?
Maybe. It’s tempting to save brainpower, especially when everything around us moves fast. But it’s worth asking: What are we giving up when we stop wrestling with hard problems?
A quote that stuck with me:
“Solving something on your own can give you insights you’d never get from an answer handed to you.”
That’s the thing. AI might get you to the answer, but it robs you of the aha moment.
So what’s the move here?
We don’t need to ditch AI. But we do need to think about what kind of thinking is too important to give up. Not every problem needs to be automated. Some are worth the effort. What do we keep doing ourselves?
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Read long articles (yes, like this).
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Solve hard problems without AI first.
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Write, think, reflect – before you outsource it.
Because once you give away the thinking… it’s hard to get it back.
Final thought:
AI should be your tool, not your brain. Keep the good parts of thinking – curiosity, struggle, discovery – alive. Use the tech, but don’t become it.
AI JOBS
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The AI Fire Team
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