Skip to content

AI Dynamics

Global AI News Aggregator

Rechercher

@learnopencv

Computer Vision Transforms Retail with Real-Time Shelf Monitoring

By

@learnopencv

–

22 April 2026 15h32

Most people think AI in retail is about self-checkout, but the biggest impact is happening behind the scenes. Computer vision is now used for shelf monitoring, loss prevention, and safety by tracking inventory, detecting risks, and identifying issues in real time. These systems… pic.twitter.com/GvDwYxrfKc
— Satya Mallick (@LearnOpenCV) 22 avril 2026

Most people think AI in retail is about self-checkout, but the biggest impact is happening behind the scenes. Computer vision is now used for shelf monitoring, loss prevention, and safety by tracking inventory, detecting risks, and identifying issues in real time. These systems

→ View original post on X — @learnopencv,

22 April 2026
V-JEPA 2.1: Video Learning Without Labeled Data

By

@learnopencv

–

22 April 2026 8h06

V-JEPA 2.1: Learning Video Understanding Without Labels

In this episode of Artificial Intelligence: Papers and Concepts, we explore V-JEPA 2.1, a next-generation video learning model that shifts away from traditional supervised training. Instead of relying on labeled datasets,… pic.twitter.com/IQ0y6G8KIL
— Satya Mallick (@LearnOpenCV) 22 avril 2026

V-JEPA 2.1: Learning Understanding Without Labels In this episode of Artificial Intelligence: Papers and Concepts, we explore V-JEPA 2.1, a next-generation video learning model that shifts away from traditional supervised training. Instead of relying on labeled datasets,

→ View original post on X — @learnopencv,

22 April 2026
Agent AI: From Advice to Execution and Results

By

@learnopencv

–

21 April 2026 15h32

Most AI gives advice, but you are still responsible for doing the work and getting the outcome. Agent AI takes responsibility by executing tasks and delivering results, not just suggestions. That shift from advice to action is what makes it far more powerful. pic.twitter.com/loCeFAQgTe
— Satya Mallick (@LearnOpenCV) 21 avril 2026

Most AI gives advice, but you are still responsible for doing the work and getting the outcome. Agent AI takes responsibility by executing tasks and delivering results, not just suggestions. That shift from advice to action is what makes it far more powerful.

→ View original post on X — @learnopencv,

21 April 2026
Multimodal LLMs Fail at Car Detection Task Compared to YOLO

By

@learnopencv

–

20 April 2026 22h15

I tested Opus 4.7 on a simple car detection task.
→ Took 5 minutes
→ Missed multiple cars
→ Pointed at blank spaces
→ Bounding boxes were even worse
Codex did better (24 cars, accurate points) but still took 3 minutes.
YOLO does the same thing in 30ms.
Multimodal LLMs are… pic.twitter.com/DiHGsYpOG2
— Satya Mallick (@LearnOpenCV) 20 avril 2026

I tested Opus 4.7 on a simple car detection task.
→ Took 5 minutes
→ Missed multiple cars
→ Pointed at blank spaces
→ Bounding boxes were even worse
Codex did better (24 cars, accurate points) but still took 3 minutes.
YOLO does the same thing in 30ms.
Multimodal LLMs are

→ View original post on X — @learnopencv,

20 April 2026
Agentic AI Cost: Hidden Economics of Autonomous Systems

By

@learnopencv

–

20 April 2026 19h53

Agentic AI Cost: The Hidden Economics of Autonomous Systems

In this episode of Artificial Intelligence: Papers and Concepts, we explore Agentic AI Cost, a deep dive into the often-overlooked economics of autonomous AI systems. As AI agents become more capable- planning,… pic.twitter.com/Sp4FKHznRq
— Satya Mallick (@LearnOpenCV) 20 avril 2026

Agentic AI Cost: The Hidden Economics of Autonomous Systems In this episode of Artificial Intelligence: Papers and Concepts, we explore Agentic AI Cost, a deep dive into the often-overlooked economics of autonomous AI systems. As AI agents become more capable- planning,

→ View original post on X — @learnopencv,

20 April 2026
Real-world AI copilots: surgery, manufacturing, and critical applications

By

@learnopencv

–

20 April 2026 15h32

The most important AI copilot is not the one writing emails or code, it is the one operating in real-world environments where mistakes have real consequences. In fields like surgery and manufacturing, AI must see, understand, and act correctly in real time. The future of AI will… pic.twitter.com/QYRuUgzS7B
— Satya Mallick (@LearnOpenCV) 20 avril 2026

The most important AI copilot is not the one writing emails or code, it is the one operating in real-world environments where mistakes have real consequences. In fields like surgery and manufacturing, AI must see, understand, and act correctly in real time. The future of AI will

→ View original post on X — @learnopencv,

20 April 2026
Multimodal LLMs vs YOLO: Why Specialized Tools Win

By

@learnopencv

–

19 April 2026 19h02

Why Multimodal LLMs Are the Wrong Tool for Object Detection

Opus 4.7 vs GPT 5.4 vs YOLO — I tested multimodal LLMs on a simple car detection task. The results? Minutes of processing, missed objects, and bad localization. A purpose-built detector like YOLO does it in milliseconds… pic.twitter.com/vRJrANgtq2
— Satya Mallick (@LearnOpenCV) 19 avril 2026

Why Multimodal LLMs Are the Wrong Tool for Object Detection Opus 4.7 vs GPT 5.4 vs YOLO — I tested multimodal LLMs on a simple car detection task. The results? Minutes of processing, missed objects, and bad localization. A purpose-built detector like YOLO does it in milliseconds

→ View original post on X — @learnopencv,

19 April 2026
Position Encoding Evolution: Sinusoidal to RoPE to YaRN

By

@learnopencv

–

19 April 2026 18h04

Position Encoding Transformers
LLMs don't read words in order — they see everything at once.
Without position encoding, "the cat sat on the mat" and "the mat sat on the cat" are mathematically identical.
Full breakdown: sinusoidal → learned absolute → RoPE → YaRN →… pic.twitter.com/kyByXaJ1J1
— Satya Mallick (@LearnOpenCV) 19 avril 2026

Position Encoding Transformers
LLMs don't read words in order — they see everything at once.
Without position encoding, "the cat sat on the mat" and "the mat sat on the cat" are mathematically identical.
Full breakdown: sinusoidal → learned absolute → RoPE → YaRN →

→ View original post on X — @learnopencv,

19 April 2026
Edge AI Revolution: Moving Intelligence from Cloud to Devices

By

@learnopencv

–

19 April 2026 15h32

The smartest companies are moving AI off the cloud and onto local devices to make decisions in real time. This shift to edge AI makes systems faster and more private because data never has to leave the device. pic.twitter.com/K58iG89LIT
— Satya Mallick (@LearnOpenCV) 19 avril 2026

The smartest companies are moving AI off the cloud and onto local devices to make decisions in real time. This shift to edge AI makes systems faster and more private because data never has to leave the device.

→ View original post on X — @learnopencv,

19 April 2026
Single Provider Risk: Open Source Backup Control Essential

By

@learnopencv

–

19 April 2026 4h26

It’s very dangerous to rely on a single provider. You should always go for an open-source backup that you control. I know it is easier said than done, but absolutely needed.

→ View original post on X — @learnopencv,

19 April 2026

←Previous Page

1 2 3 4 … 69

INNOVATION GENERATIVE AI RESEARCH LLMS TOOLS MACHINE LEARNING CODE MARKET TRENDS BUSINESS BIG TECH TECHNOLOGY ETHICS ENTERPRISE AI APPS SOFTWARE DATA COMPUTING AGENTS AUTOMATION POLICY OPEN SOURCE CULTURE REGULATION ECONOMY MULTIMODAL AI SOCIETY INVESTMENT CREATIVE AI EDUCATION AI HARDWARE SAFETY HARDWARE JOBS AGI PROMPT ENGINEERING STARTUPS INDUSTRY ROBOTICS WORKFORCE SECURITY CYBERSECURITY HEALTHCARE AI SYSTEMS SUSTAINABILITY WEB3 DECENTRALIZED AI

AI Dynamics

Global AI News Aggregator

About
Archives

Rechercher