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Nvidia just made a very quiet move that’s actually a huge deal.
First up: Nvidia acquired SchedMD, the company behind Slurm.
If you don’t know Slurm, quick translation:
It’s the software that tells massive AI clusters which GPUs do what, and when.
Which means Nvidia now understands, owns, and helps maintain the system that tells their own chips what to do.
And yes—Nvidia says they’re keeping it open source and vendor-neutral.
Then, almost casually, Nvidia dropped Nemotron 3 —a new open AI model family built specifically for AI agents. And it comes in three flavors:
Nemotron 3 Nano, a compact 30-billion-parameter model that activates up to 3 billion parameters at a time for targeted, super-efficient tasks.
Nemotron 3 Super, a high-accuracy reasoning model with 100 billion parameters and up to 10 billion active per token, ideal for multi-agent applications.
Nemotron 3 Ultra, a massive 500-billion-parameter reasoning engine that activates up to 50 billion active per token, built mainly for complex AI tasks.
So if you’re into open-source AI and you’ve got a computer with at least 25GB of RAM, this release is absolutely worth checking out.
Here’s why:
It nailed bronze on the International Mathematical Olympiad benchmark
Achieves up to 4x higher token throughput compared with Nemotron 2 Nano
Reduces reasoning-token generation by up to 60%
Handles up to 1 million tokens in a single context window
Crushes agentic tasks with ease
Runs at around 377 tokens per second
Remembers more, making it more accurate and better at connecting information across long, multi-step tasks
If that feels like overkill, no stress. There are plenty of other new models you can run locally.
Pro tip: just follow the ⭐ stars and download counts. They usually tell the story.
Here's what we have for you today
🤦Merriam-Webster Names “Slop” the 2025 Word of the Year
Alright, quick question.
When was the last time you read something online and thought, “This says a lot… but means absolutely nothing”?
Like, the words are technically English. The video technically exists. But your brain keeps screaming, “this is junk.”
Well, congrats. You’ve just encountered slop.
And as of this year, that’s not just a vibe. It’s official.
Merriam-Webster named “slop” the 2025 Word of the Year.
Which honestly feels less like an announcement and more like a cry for help.
So what exactly is “slop”?
According to Merriam-Webster, slop refers to low-quality digital content, usually mass-produced by AI.
Now, it's not always wrong. It’s not illegal. It’s just… empty.
They even compared it to slime, sludge, and muck. You know, stuff that oozes. Stuff you don’t want to touch. Stuff that somehow gets everywhere.
And honestly, if that doesn’t describe half your feed… congrats. You’re on the good side of the algorithm.
Why this word, this year?
Because 2025 was the year the internet hit a breaking point.
Greg Barlow, Merriam-Webster’s president, basically said AI content went from fascinating…to annoying… to kind of ridiculous.
And the numbers back it up.
A study earlier this year found that around 74% of new web content had some level of AI involvement.
And when we say web content, we mean everything: Videos, podcasts, music, ads, books, entire websites that exist purely to exist
So yeah, Welcome to the slop economy where the playbook looks like this:
Generate content at massive scale
Spend almost zero human effort
Feed it to algorithms
Monetize attention, not quality
Platforms at this point don’t really care if the content’s good. They care if it gets clicks. So accuracy drops, originality drops. And genuinely useful information gets buried under a mountain of AI-written nothingness.
If you ask me, this is especially brutal in places where details actually matter, like finance, tech, and crypto where one bad AI-generated explainer can lead to real people making really bad decisions.
And it’s not just Merriam-Webster noticing.
Other dictionaries saw the same chaos and crowned similar winners:
Oxford picked “ragebait” as it WOTY (word of the year) winner
Collins went with “vibe coding”
Australia’s Macquarie Dictionary straight-up chose “AI slop”
So you see, different terms. Same message.
So… what happens next?
We’re already seeing pushbacks:
Tools that verify human-made content
Curated platforms that prioritize quality
Hybrid workflows where humans actually stay in the loop
And yes, possible rules that force AI disclosure
Because here’s the real takeaway:
AI isn’t the problem. Unchecked, low-effort, soulless AI output is.
In fact, critics have pointed out something even more uncomfortable.
As AI companies push paid tiers, the internet is quietly splitting in two.
On one side, people who can afford paywalled, higher-quality content. On the other, people stuck with a digital diet of slop, which, as you can imagine, is very light on actual informational value.
So if something feels off while you’re scrolling, trust that instinct.
You can find out more here.
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🧱 Around The AI Block
💼 Why most consumer AI startups lack staying power according to top VCs.
🤖 Zoom makes its AI Companion available on the web.
🗣️ Kindle app now answers questions about the book you’re reading.
🤯 Disney’s OpenAI deal is exclusive for just one year.
👨🎤 Musicians are getting really tired of the AI clone ‘bullshit’.
💲 Creative Commons backs revolutionary Pay-to-Crawl AI systems to save publishers from extinction.
🏭 Nvidia reportedly weighs ramping up H200 production to meet surging demand in China.
🛠️ Trending Tools
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🤖 AI Workout Of The Day: How to Get Better Results from AI Image Generators
AI image generation isn’t just about pictures — it’s about turning your vision into visuals that actually match your style.
We tested ChatGPT, Gemini, and DeepSeek to see which model can best take style examples and apply tweaks exactly how you want. The goal? Precision, creativity, and staying true to your aesthetic.
How to Make This Prompt Work
Provide Clear Style References: Drop example images, art styles, or visual themes. The more your AI “sees,” the closer it gets to your vibe.
Specify the Subject & Setting: Be clear about what’s in the scene—characters, objects, environments, whatever matters.
Encourage Detail & Precision: Lighting, color palettes, mood, composition—call it out. AIs responds to specifics.
Test Across Models: Compare outputs for style accuracy, creativity, and how well instructions stick.
Iterate & Refine: Small tweaks can make a big difference. So yeah, slightly tweak prompts to see which AI responds best to changes.
PS: The live ChatGPT vs Gemini vs DeepSeek side-by-side comparison is exclusive to premium subscribers. If you want the full showdown, now’s the time to upgrade.
⚡ Prompts to try:
“Generate an image in the style of [insert example or reference image/art style]. The scene should feature [main subject or characters] in [environment or setting]. Use [specific color palette, lighting, mood, or perspective], and include [any additional details or props]. Make sure the image matches the reference style closely while incorporating these tweaks. The goal is a cohesive, creative, high-quality image that aligns with the style and adjustments provided.”
Or a more concrete example:
"Generate a futuristic city skyline at sunset in a cyberpunk style. Think neon lights, reflective surfaces, and a vibrant palette inspired by [style reference or artist]. Include flying cars and people walking on elevated streets. Make it cinematic with depth and atmosphere. Then, create two alternative versions with subtle lighting and color variations. Final images should match the reference style and capture all the detailed elements."P.S. Each Workout of the Day (WoD) is powered by original prompts written by our team — no recycled or external templates here. That means lower risk of prompt injection or manipulation, and higher trust in what you’re creating.
Also…
Upgrade now to see this whole month’s prompt videos and more, or buy TODAY’S WOD for just $1.99
Is this your AI Workout of the Week (WoW)? Cast your vote!
That's all we've got for you today.
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