🍭 Science Starts Sharing the Load 🧪

Good morning!
Someone just shipped an AI product without an “Are we sure?” meeting.

Anyway, let’s talk. 👇

🍭 What’s Cookin’:

• OpenAI’s new benchmark tests whether AI can help real scientists

• Why companies are quietly slowing down on AI rollouts

• Turn any topic into instant fact scripts for videos and posts

• Five brand-new AI launches worth knowing

Steal This Prompt
🧠 1-Click Fact Generator

Just give a topic and this prompt creates ready-to-use factual content you can turn into videos or short posts.

Use it to:

• Get instant “fact stacks” for video scripts or social posts

• Great for creators who need research without the grunt work

• Turns topics into ready-made content starter packs

Workflow:

1. Click this link (Prompt).

2. Paste into your text model.

3. Replace the #’s with a topic or subject you want facts about.

4. Copy the output into your video editor or social script template.

   Try the prompt on Snack Prompt

OpenAI
🧪 Thinks AI Is Ready for Real Science

The Bite:
OpenAI just dropped FrontierScience.
A new benchmark designed to test whether AI can handle real scientific work.

Instead of multiple-choice questions, FrontierScience focuses on messy, open-ended research tasks pulled from real physics, chemistry, and biology problems.

The results show clear progress, real limitations, and a hint of what AI might soon do inside actual labs.

This isn’t about replacing scientists.
It’s about whether AI can finally be useful to them.

Snacks:

• Tasks were created by domain experts: real scientists, not benchmark farms

• Far from perfect, AI still solved only a fraction of open-ended problems

• Today’s models are closer to a lab assistant than a genius.

• Strong traits: literature review, hypothesis framing, math setup, and error-checking

• Newer models meaningfully outperformed older ones on complex research tasks

Why it Bites:
For years, AI benchmarks rewarded speed and pattern matching.
FrontierScience rewards thinking like a researcher.

What stands out isn’t that AI suddenly cracked science, because it didn’t.
But that it’s starting to pull real weight on time-consuming parts scientists hate.

If AI keeps improving here, we can get:

• Faster experiments.

• Fewer dead ends.

• More time for scientists to think.

Still, no Nobel moments for the AI.

_ToolBox™
🧰 5 BRAND NEW AI LAUNCHES

🧑‍💻 OpenAI
Build and scale your own AI-powered products and experiences using a suite of OpenAI APIs and tools backed by industry-leading models.

⚡️ StreamAlive
Turn your boring PowerPoint slides into live, interactive presentations with chat-controlled polls, word clouds, quizzes, and other audience engagement tools.

🎞️ Wan 2.2
Use cutting-edge WAN 2.2 AI video generation tech to convert text or images into rich, dynamic video content without traditional filming or editing.

🤖 Grov
Give your AI agents shared memory and collective reasoning so teams skip redundant context rebuilding and leverage past solutions automatically.

🖼️ CanvAi
Sketch, compose, and generate AI art on an infinite canvas by combining rough draws, shapes, and imported assets into finished visuals.

Anti-AI
⏸️ Everybody Quietly Hitting “Pause”

The Bite:
After two straight years of AI being duct-taped onto everything…

Cracks are starting to show:

• Workers are pushing back;

• Customers are complaining;

• Some companies are quietly slowing rollouts.

This isn’t an anti-AI revolt.
It’s a pause caused by rushed deployments and bad incentives.

Think less “AI winter” and more “everyone calming down for a second”.

Snacks:

• Pushback is not rejection. Most people aren’t anti-AI, they’re anti-bad-AI.

• Consumers are noticing a quality drop especially with service chatbots.

• Brands are getting burned by AI errors and public mistakes that cost trust.

• Companies are still investing but more quietly, and with more guardrails.

• Workers are complaining about job pressure, monitoring, and being forced to use half-baked AI tools.

Why it bites:
Every tech wave does this:
Fast rollout, peak excitement, then reality checks.

This phase looks messy, but it’s how useful tech survives.

Remember: What’s happening now isn’t a reversal, it’s a filter.

AI that saves time sticks. AI that annoys customers gets rolled back.

_{Everything Else}
🧠 You Need to Know

🧑‍💻 NVIDIA Unveils Nemotron 3 Open Models
→ NVIDIA introduced the Nemotron 3 family open-model AI architectures (Nano, Super, Ultra) optimized for efficiency.

🧪 OpenAI Launches FrontierScience Benchmark
→ A new benchmark evaluates AI models on expert-level scientific reasoning across physics, chemistry, and biology to track progress in AI-assisted research.

💕 Swedish AI Startup Lovable Hits $6.6B Valuation
→ They raised a funding round that valued it at $6.6 billion, driven by strong ARR growth and investor confidence.

✍️ AI Backlash Growing in Marketing and Culture
→ A rising discourse around AI “slop” and backlash against low-quality AI-generated content predicts 2026 could see a surge in human-made branding.

❗️Europe Could Upend Trump’s AI-Driven Economy
→ Europe’s leverage through chip export control and strict data laws might challenge the U.S. AI growth strategy tied to Trump’s economic agenda.