Happy Monday guys!

Below you’ll find a quick overview of what’s been happening in the AI industry since our last newsletter, and don’t forget that you can also watch our news roundup on YouTube while sipping morning coffee ☕🤖

🚨 The Internet’s Mood in One Word (or Two) 😬🔥

NEWS OVERVIEW:

As the year wraps up, it’s time for Word of the Year—and the internet did not choose peace.
There isn’t just one official pick, but the two most talked-about choices come from Merriam-Webster and Oxford Languages—and both perfectly capture our collective online experience.

Merriam-Webster’s pick: Slop
Short for “AI slop”, this slang describes the flood of low-quality, mass-produced AI content now clogging the internet:
- Spammy articles
- Generic AI images
- Clickbait videos
- Low-effort posts optimized for speed, not value
Oxford Languages’ pick: Rage bait
Content deliberately engineered to make people angry—because outrage still equals engagement.

For context, last year’s picks already hinted at trouble:

Webster (2024): Polarization — society splitting into opposing camps
Oxford (2024): Brain rot — the mental toll of endless low-value content

The trend line? Not exactly uplifting.

WHY THIS MAY MATTER TO YOU:

AI content fatigue is real: Audiences are getting better at spotting (and ignoring) low-effort AI output.
Engagement ≠ trust: Rage bait may spike clicks, but it erodes brand credibility long-term.
Quality is the new differentiator: Thoughtful, human-first content stands out more than ever.
Marketing signal: Platforms and users alike are pushing back—expect algorithm shifts and higher content standards.

Author’s note:

AI slop here, AI slop there…AI slop is everywhere…

🧠📄 Mistral’s OCR 3 Just Made Illegible Text… Legible

NEWS OVERVIEW:

French AI lab Mistral AI just dropped OCR 3, and it’s being called the best OCR model currently available.
OCR (Optical Character Recognition) is the tech that turns images or PDFs into readable, editable text—and OCR 3 raises the bar significantly.

According to Mistral, the model:

Beats competitors on key benchmarks
Handles complex layouts
Works across multiple languages (yes, including tricky ones like Hungarian)
Performs especially well on messy, real-world documents

Which means: scanned PDFs, handwritten notes, and low-quality docs are finally fair game.

And yes… this is the model our childhood selves needed to decode doctor prescriptions 🩺✍️

WHY THIS MAY MATTER TO YOU:

Document-heavy workflows get faster: Think invoices, contracts, reports, and archives.
AI agents get smarter inputs: Clean text = better downstream reasoning and automation.
Less manual cleanup: Fewer humans fixing OCR errors line by line.
Competitive edge for AI products: OCR quality is now a real differentiator, not a checkbox.

Author’s note:

t#₸§ !§ d¤¢†¤r’$ h₳₦Ð₩Я!†!₦G

𝓽𝓱𝓲𝓼 𝓲𝓼 𝓭𝓸𝓬𝓽𝓸𝓻’𝓼 𝓱𝓪𝓷𝓭𝔀𝓻𝓲𝓽𝓲𝓷𝓰

th|$ i$ d0¢+0r’$ h@ndwr!t!ng

🤖🧠 Big Tech Unites on Agentic AI Standards (Yes, Even Those Rivals)

NEWS OVERVIEW:

China has quietly built a prototype EUV lithography machine—a breakthrough some are already calling the country’s “Manhattan Project” for semiconductors, according to reporting by Reuters.

Lithography machines are among the most complex pieces of technology on Earth. They’re essential for producing cutting-edge chips (5nm and below)—the kind needed for advanced AI systems. Until now, this capability has been almost entirely controlled by the West, led by ASML in the Netherlands.

This Chinese effort is:

State-backed
Highly secretive
Strategic, not commercial (yet)

That’s why the “Manhattan Project” comparison isn’t accidental.

Yes, the project is controversial—there are accusations of talent recruitment, reverse engineering, and espionage.

WHY THIS MAY MATTER TO YOU:

This is about AI dominance, not chips: Whoever controls advanced manufacturing controls AI progress.
Sanctions may be losing leverage: Indigenous EUV changes the balance of power.
Supply chains could bifurcate further: A true East vs. West tech stack becomes more likely.
The AI “cold war” is heating up: This isn’t theoretical—it’s already underway.

Author’s note:

That moment when everyone realizes this is bigger than it first sounded.…

🇺🇸⚡ America’s Answer to the AI Arms Race: The “Genesis Mission”

NEWS OVERVIEW:
While China is pouring state resources into chips and lithography, the U.S. response is now official. The U.S. Department of Energy has launched a sweeping national AI initiative called the Genesis Mission, signing on 24 major tech companies across chips, energy, and AI.

The program brings together:

National laboratories
Chipmakers
Energy companies
Frontier LLM developers
Big Tech infrastructure players

The mission was authorized via an executive order signed by Donald Trump in November 2025, tasking the DOE with leading a nationwide push to apply AI at scale—especially where compute, power, and national security intersect.

In short: this is not a startup program. It’s a government-coordinated AI mobilization.

WHY THIS MAY MATTER TO YOU:

Energy is now an AI bottleneck: Whoever controls power + compute controls AI progress.
Public–private AI is back: National labs + Big Tech is a WWII-style collaboration model.
Signals long-term commitment: This isn’t hype—it’s infrastructure, policy, and capital.
AI competition just went fully geopolitical: China builds chips; the U.S. builds systems.