🧲 Meta Wants to Poach Entire AI Market!?

Free AI Tutorials | AI Academy | Advertise | AI Mastery A-Z

Plus: How to Use MiniMax M1 AI agent to Build 4 Businesses in 20 Mins

Read time: 5 minutes

AI just helped make a working antibody faster than any biotech lab, and fans are using Veo 3 to rewrite the Squid Game finale with shocking realism.

Start Listening Here: Spotify | Apple Podcasts, YouTube.

What are on FIRE 🔥

• 🧬 AI Designed Functional Antibodies From Scratch In 2 Weeks, Not 2 Years

• 🌟 AI Highlights

• 📚 AI Sources From AI Fire

• 🏅 AI Tools

• ⚡ 5 AI Quick Hits

• 📊 AI Chart

IN PARTNERSHIP WITH TEAMMATES AI

Stop Screening. Start Hiring. Meet Sara – Your AI Interviewer.

Sara is your AI teammate who screens thousands of candidates per hour, across 50+ languages, including every Arabic dialect – no prompts needed, just upload your JD.

She runs fully autonomous, bias-aware interviews that adapt to each candidate and gives you clear, shareable reports that benchmark talent against top 1% performers:

• Thousands screened in hours to get insight-rich reports

• 85% reduction in screening cost

• 5x more top performers surfaced

• Built-in bias detection, so talent, not accent, wins

• Plug-and-play with 1000+ apps via Zapier

• Zero prompt engineering, ever

This is the smartest hire you’ll ever make. Just clear signal, faster hires, and talent you would’ve missed otherwise.

AI INSIGHTS

🧬 AI Designed Functional Antibodies From Scratch In 2 Weeks, Not 2 Years

You’ve heard of AI writing essays, making music, even generating movies. But now? It’s engineering custom antibodies from scratch and the results are insane.

Meet Chai-2, the newest AI from Chai Discovery (backed by OpenAI), and possibly the future of medicine.

What makes Chai-2 wild?

• It creates new antibodies without needing prior examples.

• Just give it the structure of a disease target, and it designs proteins to attack it.

  → Think: Photoshop for proteins, you point, and it sticks the antibody there.

• It got hits on 50% of disease targets.

• Tested just 20 candidates per target.

  → That’s a 100x jump over traditional hit rates (~0.1%).

→ This is the kind of result that makes biotech CEOs sit up straight and reallocate their entire R&D budget. Most biotech labs screen millions of antibody candidates across months or years. Chai-2 did it in 2 weeks.

Drug companies often ignore small patient groups because testing is expensive and slow.

→ But if an AI like Chai-2 can crank out viable candidates quickly, we suddenly have a path to adjusted, precision medicines for all kinds of overlooked conditions.

Why It Matters: Drug development is expensive. Like ignore-rare-diseases expensive. You don’t touch a condition unless there’s a big enough market. But now? Chai-2 means: Lower R&D costs + Custom meds for rare diseases. And for patients? That means treatments that might’ve never existed, now actually within reach.

PRESENTED BY CODECADEMY

Grow your technical skills with hands-on learning

Looking to stand out in a competitive job market? Codecademy can help you build in-demand technical skills and prepare for top industry certification tests from AWS, Microsoft, CompTIA, and more.

AI Fire readers can save 15% on a year of Codecademy Pro and get access to:

• 600+ interactive courses

• Step-by-step career guidance

• Industry certification prep

Try hands-on learning and get ready to unlock new career opportunities — just use code SKILLUP15 at checkout for 15% off

TODAY IN AI

AI HIGHLIGHTS

💰 On the “High Performance” podcast, Mark Cuban said the first trillionaire “could be just one dude in the basement”. You need to find the AI use case no one sees yet!

🎬 The Squid Game Season 3 finale dropped. But people hated it, they’re creating alternative endings with Google Veo 3. It’s quite meme-y. Watch it here.

📊 There’s a rumored benchmarks for xAI’s upcoming Grok 4 leaked on X, showing a SOTA score on Humanity’s Last Exam, STEM, and coding benchmarks. See it here.

🎥 Try searching “best beaches in Hawaii” on YouTube, you’ll see AI video highlight carousels, complete with descriptions, like Google’s AI Overviews, but for videos.

🚫 If you used Cursor last week, you might’ve seen to surprise charges, or worse, a $7,000 plan gone. It quietly swapped its pricing but barely told anyone. Now you can be flooded with cancellation posts.

🕛️ Builder Riley Brown recently offers a complete guide on how to create a mobile app from scratch in under 1 hour, without a line of code. Super easy to follow.

💰 AI Daily Fundraising: Harvey AI’s valuation jumped from $3B to $5B after securing $300M from Kleiner Perkins, Coatue, Sequoia, and OpenAI Startup Fund. Now in 53 countries, it serves 337 legal clients.

AI SOURCES FROM AI FIRE

🔥 Ep 14 tooldrop arrived. AI did everything except breathe for me

• Easily build AI agents that connect to any service, no-code

• Prompt, run, edit, and deploy AI agents in seconds

• Create consistent AI personas for photos and videos

• Create photos with just a few click or a prompt for Free

• Clone polished ads from the biggest companies in the world

Note: These exclusive resources & reviews are available only in our AI Fire community. It’s because you guys can freely ask for support or share personal experience during testing there. Get your full breakdown here (no hidden fee)!

NEW EMPOWERED AI TOOLS

1. 🧱 Blogwald helps you publish structured content for search engines.

2. 🔎 Stepfun Diligence Check is an AI search with agent-verified citations.

3. 📞 Voicebun automates support, scheduling with powerful AI workflows.

4. 🎥 Tracking Languages tracks your language progress, one video at a time.

AI QUICK HITS

1. 🤝 ChatGPT saved an user from using extra $3,000. Here’s the prompt used.

2. 📱 We’ll see an entirely new version of TikTok soon, for US users only.

3. 👩‍🏫 ChatGPT’s ‘Study Together’ mode is in some accounts for testing, you see it?

4. 📄 Genspark launched AI Docs to create, edit documents via simple texts.

5. 💼 Not OpenAI, now Meta reportedly recruits Apple’s head of AI models.

AI CHART

🧠 Can AI Think Strategically? 140,000 Prisoner’s Dilemma Games Say… Yeah

Forget benchmarks and word predictions, researchers just put LLMs into game theory combat mode to see if they can actually reason strategically. And the results? Weirdly human.

Here’s what they did:

• Ran 140,000 games of the Prisoner’s Dilemma using AI agents from OpenAI, Google (Gemini), and Anthropic (Claude)

• Each model had to choose: cooperate or defect, classic game theory showdown

• Before each move, the models had to write out their reasoning

This let researchers track how decisions were made. And the models did reason just differently. Each one developed a distinct strategy:

• Gemini: Ruthless. Calculated, reactive, and quick to defect if betrayed

• GPT-4: Weirdly idealistic. Often cooperative, even when exploited

• Claude: The peacemaker. Most forgiving, even after being backstabbed

But wait, they all trained on the same stuff? Yep and that’s the wild part. All 3 were trained on similar datasets → But they developed different personalities

And researchers even mapped unique “strategic fingerprints” based on how each model responded to betrayal, success, or trust. It’s proving that:

• LLMs can do strategic reasoning, not just mimic text

• Future AI systems (especially agents) won’t be interchangeable

Now imagine them all on the same team… or negotiating against each other.

We read your emails, comments, and poll replies daily

Hit reply and say Hello – we’d love to hear from you!
Like what you’re reading? Forward it to friends, and they can sign up here.

Cheers,
The AI Fire Team