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Gemini 2.5 Pro Unlocked: Inside the world’s most powerful AI model

Study: AI might kill your company, AI bubble worries, ChatGPT image generator causing fraud concerns and more.

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Everyday AI
April 01, 2025

Outsmart The Future

Today in Everyday AI
8 minute read

🎙 Daily Podcast Episode: The biggest secret in AI that should not be a secret? Gemini 2.5 Pro is a BEAST. We gave it the Deep Dive treatment today. Give it a watch/read/listen.

🕵️‍♂️ Fresh Finds: Google Deepmind tightens AI control, How hackers are tapping into AI and Microsoft Teams, OpenAI launches an online Academy. Read on for Fresh Finds.

🗞 Byte Sized Daily AI News: Study: AI might kill your company, AI bubble worries, ChatGPT image generator causing fraud concerns and more. Read on for Byte Sized News.

🧠 AI News That Matters: Here’s your guide on how to use the impressive (and free!) Gemini 2.5 Pro. Keep reading for that!

↩️ Don’t miss out: Did you miss our last newsletter? We talked about: OpenAI closes $40 billion funding round and announces open model, Amazon goes agentic with Nova, Runway unveils Gen-4 and more. Check it here!

AI News That Matters - March 31, 2025 📰

We gotta talk about this 👇

Everyone and their mama’s out here creating Ghibli-style AI images, but no one’s talking about the most capable AI ever created. 

And it’s available now. 

And for free. 

Also on the pod today:

• Challenges in coding benchmarks 💻
• Future of multimodal AI integration 🔄
• Hybrid model dominance by Google 👑

It’ll be worth your 47 minutes:

Listen on our site:

Click to listen

Subscribe and listen on your favorite podcast platform

Listen on:

Here’s our favorite AI finds from across the web:

New AI Tool Spotlight –  Grimo bills itself as an AI-powered Vibe Writer, InboxSwipe is an AI-powered solution for Inbox Zero, FluxTech allows you to generate AI images in your favorite code editor.

OpenAI — OpenAI has announced the launch of OpenAI Academy, a free platform offering workshops, tutorials, and events focused on AI education. You can sign up here.

AI Agents — China’s Zhipu AI shakes up the market with free agent.

Compute and AI Chips — Arm dropped its bid to acquire Alphawave, a key player in AI chip tech, but the move still sent Alphawave shares soaring 21%. What's next in the chip wars?

AI Research — DeepMind tightens control over AI research, fueling tensions as Google prioritizes products over academic breakthroughs.

AI and Security — Hackers are leveraging AI and Microsoft Teams messages to deliver stealthy payloads

 

AI and Memory —  AI agents lack memory—Microsoft CTO reveals how product managers will transform them into smarter digital coworkers.

AI Training — AI is reshaping jobs, but workers feel unprepared—training gaps widen the divide.

AI and Health — Dartmouth’s AI chatbot, Therabot, slashed depression and anxiety symptoms by over 30%—could this be the future of mental health care?

1. Study: "Kill Your Company" to Thrive in the Age of AI 🛠️

A new study presented at a European Central Bank conference reveals that adopting AI can initially disrupt productivity as automation challenges long-standing business practices.

However, companies that embrace these growing pains and overhaul their operations often emerge stronger, achieving higher sales, productivity, and employment over time. Larger, older firms tend to struggle with this transition, while smaller, adaptable businesses thrive by effectively redesigning their strategies. As AI reshapes industries, experts suggest this disruption is an opportunity for innovation and growth rather than a signal of decline.

2. AI Spending Bubble Worries Slam Nasdaq 🫧

The Nasdaq 100 just endured its worst quarter in nearly three years, plunging 8.3% amid fears of an AI spending bubble, according to Bloomberg. High-profile warnings about oversupply in data center investments—particularly from Alibaba’s co-founder and analysts targeting Microsoft—have rattled tech giants like Nvidia, Broadcom, and Meta, all of which have seen sharp declines.

While corporate AI spending remains strong, questions about the sustainability of these massive investments are casting a shadow over the sector's long-term dominance.

3. Alibaba Set to Unleash Qwen 3 This Month 🆕

Alibaba is preparing to release Qwen 3, the latest version of its AI model, as early as this month, Bloomberg News reports. This move comes amid fierce competition with China's DeepSeek, whose recent innovations have shaken up the global AI landscape, raising stakes for companies worldwide.

Alibaba claims its previous model, Qwen 2.5-Max, surpassed DeepSeek’s V3 earlier this year—signaling a rapid escalation in the AI arms race.

4. Meta’s AI Chief Joelle Pineau Resigns Amid Competitive AI Push 🫡

Joelle Pineau, Meta’s VP of AI Research and leader of its FAIR unit, has announced her resignation, marking a major shake-up in the company’s AI ambitions. Pineau played a key role in developing Meta’s Llama AI models and PyTorch tools, which have bolstered the company’s position in the generative AI race.

Her departure comes as CEO Mark Zuckerberg intensifies efforts to become an AI leader, aiming to build systems for billions of users ahead of rivals like OpenAI and Google.

5. ChatGPT's New Image Generator Sparks Fraud Concerns 🫣

OpenAI’s latest image generator, part of its 4o model, is raising eyebrows with its ability to create hyper-realistic fake receipts. While some users have praised its creative applications, others are worried about its potential misuse by fraudsters to fabricate expense claims.

OpenAI insists all generated images contain metadata for transparency and says such tools can be used for educational purposes like teaching financial literacy. However, critics argue the ease of generating fake documents could pose serious risks if safeguards aren't strengthened.

39 points. 😱

That's the unprecedented jump Google's new AI model, Gemini 2.5 Pro, scored in blind human preference tests on the LM Arena to become the world’s top AI model.

Gemini 2.5 Elo’s rating is literally off the charts, destroying previous records for a new model launch that normally only clock in 2-4 points above the previous model.

But Gemini pulled its best Miley Cyrus and came in like a friggin wrecking ball. 

Yet... crickets.

Near silence online.

Why isn’t this thang breaking the internet y’all?

The answer: Seems everyone was mesmerized by OpenAI’s GPT4o Image Generator – classic "Shiny AI Tool Syndrome," as we heard it called.

Meanwhile, Google quietly shipped the most capable language model available today, a move likely reflecting a deliberate strategy shift away from hype after past PR stumbles.

Google didn't shout; they shipped. 🛳️

Make sure to check out today’s Everyday AI episode, as we give you a deep dive on what’s new in Gemini 2.5 and why it matters.

Now, here’s the 1-2-3 skinny on what you need to know. 👇

1. 1M Tokens & Record Smarts: The Raw Power You Slept On 😴

Let’s talk pure, ignored capability.

Gemini 2.5 Pro wields a WILD 1 million token context window.

Compare that to the ~32k limit many of us get inside ChatGPT.

Gemini’s 1 million token context window is about 750,000 words – entire codebases, massive research archives – held actively in memory.

Sheeeeesh.

This alone might fundamentally change workflow designs, potentially reducing the need for complex RAG setups for some simpler common knowledge retrieval tasks.

And it's not just big; it's dangerously smart.

That record 39-point Elo jump shows what humans prefer.

But it also scored 18.8% on the Humanities Last Exam – a benchmark designed to break AI by testing reasoning beyond known data. This proves it tackles novel, complex problems, not just regurgitates patterns. It's a rare combination of subjective appeal and objective problem-solving power.

Try This

Stop wondering about that 1M token recall. Prove it to yourself.

Grab a monster doc. Something genuinely huge from your company archives, 100+ pages minimum.

Feed that beast into Gemini. Use a paid account and toggle OFF training if it's sensitive IP. You know the drill.

Now, grill it relentlessly. Ask specific questions demanding it connect obscure details from the beginning, the middle, and the very end. Make it sweat.

Will it be perfect? Prolly not. That’s why we still have that whole human in the loop thing.

But will it save us all thousands of hours a year?

Yup.

2. Talk Your Code Into Existence: Bye-Bye Barriers 👋

Gemini 2.5 gates just blew off the coding kingdom.

Whoosh.

This isn't just for seasoned developers anymore. Sure, Gemini 2.5 crushes technical benchmarks like SWE Bench (hitting 63.8%). Impressive, technically.

The real earthquake? "Vibe coding."

Simply describe your desired tool. Plain English. "Make me a Chrome extension that summarizes articles." "Whip up a desktop app that tracks project time." It understands. It builds. You just steer it with simple language..

The new Canvas mode inside Gemini chat is key, letting the AI write and run the code right there, iterating with you.

Try This

Time for your first 'vibe code' project. Seriously, no more excuses about not knowing the right programming language.

Open Gemini. Make sure Canvas mode is active. Describe a simple tool you actually want – maybe that webpage summarizer. Use your everyday words. Be clear on the function.

Then, demand: "Give me dead-simple install instructions for this, explain it like I'm five."

3. Learn to Leverage Gemini’s Actual Thought Process 🤔

This isn't fancy autocomplete.

It's thinking. Structured reasoning.

Gemini 2.5 uses Chain of Thought (CoT) baked into its core. It's part of a hybrid approach, reportedly deciding how much 'thinking' compute to apply based on your task's complexity.

So what?

See the "Show thinking" button? It’s your new best friend.

Click. It. Every. Single. Time.

Reading any AI model’s chain of thought process is the way you get better outputs. It reveals its logic, its assumptions based on your prompt, its path.

It's like getting the teacher's notes.

Understanding how Gemini 2.5 thinks lets you prompt it better. Period.

Try This

Stop accepting surface-level answers. Make the AI show its work.

Give Gemini a genuinely messy, complex business problem – something real from your plate.

Let it generate the initial plan or analysis. Then, immediately hit "Show thinking." As you wait for the hybrid Gemini 2.5 to solve your problem, you can follow the thinking live.

Then, reprompt and reiterate.

Use only what you learned from its internal thought process to craft a laser-focused follow-up prompt.

Address the flaws you saw. Force it to refine based on its own reasoning. Did the output dramatically improve? That’s the feedback loop.

That's how you master prompting this new breed of thinking and hybrid AI models.

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