Gemini 2.0 Flash revolutionizes education by batch-generating personalized picture books. Its ability to create consistent characters across images is a major upgrade over previous models' inconsistent outputs.

Core View: No AGI yet—humans are still the brains behind the boom, shaping AI into precision tools.

Beyond Code: Enterprise agents (think Salesforce) and generative 3D worlds (games, robotics) are bubbling up, but coding agents will lead the charge.

AI Coding Goes Next-Level: Tools like Copilot already write code fast. In 2025, expect agents to spin up full apps—UI, backend, all of it—from a single prompt. Dev time? Hours, not weeks.

Will 2025 Be the Year AI Finally Delivers—or Just Teases Us Again?.2025 is gearing up for an AI app explosion, but AGI? Still a pipe dream. Humans are driving the show, crafting agents—not agents birthing agents. My hot take: AI programming agents will steal the spotlight. Here’s.

Grok3 is a benchmarking champion but a practical underperformer. The 200,000 NVIDIA GPUs used to train it consumed a catastrophic amount of energy. and yet it still can’t even handle basic math properly. What’s your take? If you disagree, please provide an objective critique.

Nezha 2 has been captivating China recently! It's an anime adapted from Chinese mythology, and as of 7:36 PM on February 18 (Beijing time), its box office revenue has exceeded 12.5 billion RMB (that's $1.7 billion USD!). It has now surpassed Inside Out 2, climbing to #8 on the

When in Italy, surrender to the sacred trinity: Pasta, Pizza, and Pure Joy….

DeepSeek-R1's so-called 'killer app' isn't its bargain-bin API pricing – it's ruthlessly exposing the LLM industry's dirty secret: 90% of businesses never needed generalist models, yet we've all been subsidizing bloated compute for years.

(3/3) Fun fact: This is how your phone’s camera recognizes pets/plants without overheating. Want to try it? Check DeepSeek’s open-source models. Nerdy but practical. 🛠️.

(2/3) Technical bit: It’s called Knowledge Distillation. The teacher’s “soft decisions” (probability outputs) are copied, not just final answers. Like learning why 2+2=4 matters, not just the number 4.

Curious how big AI models get shrunk to run on your phone? DeepSeek’s distillation is basically “smart cloning”. Here’s the deal: .1️⃣ A heavy AI (like a professor) teaches a lightweight AI (like a student) .2️⃣ The student doesn’t just memorize answers—it learns the.

Winter in Venice is off-season, but the sparse crowds, chilly winds, and gentle rain offer a unique charm. Today, I captured Venice in the light drizzle.

I've used a large model to teach my 8-year-old daughter three-digit multiplication and division. It not only checks for errors but also shows her the correct method. Here's how large models could further transform education:. 1. Personalized Learning Paths: Tailoring courses to.

Most developers are anxious about the cost and performance of large models, opting for the cheapest yet effective models to save on API costs. This is the biggest barrier to the spread and development of AI applications, as everyone needs to calculate how many tokens each.

this is not AI.

Stumbled upon this breathtaking scene while on a road trip in Tasmania, Australia back in 2014. I had to capture it - the beauty is just unforgettable! 🇦🇺📷 #TasmaniaRoadTrip #HiddenGems

Think twice if someone claims: 'I built xxx with Cursor in just half an hour!' They're probably just trying to hook you into watching their video or checking out their post.

RT @stantang8: @jacobrodri_ Even if you can't code, you can still build wealth through sales . Dev skills are crucial, but marketing is the….

What users truly care about is solving their problems efficiently and effectively.