Gemini 4 Carbon is now available.
It’s our strongest model, built to dig deeper, handle long-horizon tasks, and multi-step reasoning.
If Argon is great for complex tasks, Carbon is the model you bring in for your hardest problems.
This Usmanu Danfodiyo University professor delivers mathematics lesson in Hausa. His name is Prof. Aminu A. Usman. Some years ago, Bayero University Kano translated some science textbooks into Hausa to facilitate understanding.
Several studies have shown that learning in one’s mother tongue is very effective and enhances understanding. Imagine learning all those complex scientific and technological terms in your mother tongue; I am sure you would understand a lot more.
Language barriers are among the major obstacles to effective curriculum implementation. This is a good development, particularly given that Nigeria’s National Policy on Education recognises the importance of using local languages at the pre-primary and primary levels of education.
I did say we'd be releasing our models periodically...introducing Gemini 4 Carbon, our next frontier model.
Following Argon's release just two weeks ago, Carbon shows the pace at which we’re pushing the frontier, it ranks #1 on the recently updated v5.0 of @ArtificialAnlys Intelligence Index at 59. It also leads across key cybersecurity evaluations scoring 88.2% on SEC-bench Pro for finding vulnerabilities, 54.8% on ExploitGym for exploitation, and 71.0% on CWE-bench for patching.
We’re seeing significant improvements in long-horizon tasks even compared to Argon, and we’ve strengthened frontier safeguards.
As we did with Argon, we’re going to roll it out gradually + responsibly. Some trusted cyber defenders will get access starting this week. We'll be expanding it to more partners through our Fairwind Program, ahead of wider availability soon, so hang tight!
OpenAI trained AI agents to play hide-and-seek. Instead of playing fair, the seekers exploited the game's physics engine to launch themselves over walls using a box like a surfboard. 🏄♂️🤖
#MachineLearning#AI#TechHumor
Researchers noticed image recognition models succeeded when cows stood in pastures, but completely failed when a cow stood on a sandy beach. Without green grass, the AI assumed the cow was a boat or a rock. 🐄🏖️
#DataScience#MachineLearning#AI
1962, NASA’s Mariner 1 spacecraft veered off course and had to be destroyed 293 seconds after launch.The culprit?A programmer accidentally missed a single superscript hyphen(-)in the guidance math code.The New York Times famously called it the most expensive hyphen in history
Everyone thinks Machine Learning engineers spend all day building futuristic neural networks. In reality, Data Scientists spend 80% of their time cleaning messy CSV files and fixing missing NaN values, and the remaining 20% of their time complaining about cleaning messy CSV.
In 2013, a researcher programmed a machine learning algorithm to figure out how to play NES games without losing. When it got to Tetris and the blocks stacked all the way to the top, the AI realized the only way to avoid a "Game Over" was to hit the pause button forever.
There is an official HTTP status code 418 I'm a teapot created as an April Fools' joke in 1998. It means the server refuses to brew coffee because it is, permanently, a teapot. And yes, major frameworks still support it today! ☕🫖
#Backend#API#WebDev#Django#FastAPI
When Linus Torvalds created Git in 2005, he named it after British slang for an "unpleasant, stubborn, or annoying person." Anyone who has ever spent two hours fighting a mysterious merge conflict knows the name is 100% accurate. 🌿😤
#Git#GitHub#SoftwareEngineering#TechFacts
In 1947, engineers found an actual dead moth stuck inside a relay of the Harvard Mark II computer, causing it to malfunction. They taped the moth into their logbook with the note: "First actual case of bug being found." Debugging has been stressful ever since. 🦋💻
#Software