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Smartphones Process Locally While Cloud Handles Heavy Workloads

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@learnopencv

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11 April 2026 15h32

Modern smartphones are powerful enough to handle many tasks locally, shifting more processing from the cloud to the device itself. The future is a hybrid model where everyday tasks run on-device while heavier workloads are handled in the cloud for scale. pic.twitter.com/KxZnTAthKV
— Satya Mallick (@LearnOpenCV) 11 avril 2026

Modern smartphones are powerful enough to handle many tasks locally, shifting more processing from the cloud to the device itself. The future is a hybrid model where everyday tasks run on-device while heavier workloads are handled in the cloud for scale.

→ View original post on X — @learnopencv, 2026-04-11 13:32 UTC

11 April 2026
NVIDIA OpenShell: Secure Sandbox Runtime for AI Agents

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@learnopencv

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11 April 2026 12h33

AI agents that can read files, install packages, and call APIs need more than intelligence.
They need boundaries.
NVIDIA's play:

OpenShell → secure sandbox runtime for AI agents
Nemo Claw → plugs Open Claw into that sandbox
Already supports Claude Code, Codex, OpenCode

The… pic.twitter.com/y9KLGFNisV
— Satya Mallick (@LearnOpenCV) 11 avril 2026

AI agents that can read files, install packages, and call APIs need more than intelligence. They need boundaries. NVIDIA's play: OpenShell → secure sandbox runtime for AI agents Nemo Claw → plugs Open Claw into that sandbox Already supports Claude Code, Codex, OpenCode The agentic AI infra story nobody's covering ↓ #AgenticAI #NVIDIA #OpenShell #NemoClaw #AIAgents #AISafety #OpenClaw #AIEngineering

→ View original post on X — @learnopencv, 2026-04-11 10:33 UTC

11 April 2026
Gaussian Splats Coordinate System Controversy in 3D Vision

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@learnopencv

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11 April 2026 1h07

CAPTCHA for 3D vision people Ryan Schmidt (@rms80) wait wait wait. So a new kind of 3D representation (gaussian splats) was invented and they decided to use Y-DOWN as the standard up-direction ?? In 2023 ?!?!!! Need to have some words w/ my old friends at INRIA…and I guess we need a new chart… — https://nitter.net/rms80/status/2042358527159566707#m

→ View original post on X — @learnopencv, 2026-04-10 23:07 UTC

11 April 2026
BLIP-2: Connecting Vision and Language Models Efficiently

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@learnopencv

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10 April 2026 16h26

BLIP-2: Bridging Vision and Language Without Full Retraining

In this episode of Artificial Intelligence: Papers and Concepts, we explore BLIP-2, a powerful vision–language model that connects pretrained image encoders with large language models without requiring expensive… pic.twitter.com/EnefAwliTz
— Satya Mallick (@LearnOpenCV) 10 avril 2026

BLIP-2: Bridging Vision and Language Without Full Retraining In this episode of Artificial Intelligence: Papers and Concepts, we explore BLIP-2, a powerful vision–language model that connects pretrained image encoders with large language models without requiring expensive

→ View original post on X — @learnopencv,

10 April 2026
AI Autonomy: Why Supervision Remains Essential for Safety

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@learnopencv

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10 April 2026 15h32

Agent AI can execute tasks on its own, but giving it financial control or full autonomy can lead to unexpected actions you didn’t plan for. Until it’s more reliable, the smartest move is to keep AI supervised while it works so you stay in control. pic.twitter.com/ksNjbsOpkZ
— Satya Mallick (@LearnOpenCV) 10 avril 2026

Agent AI can execute tasks on its own, but giving it financial control or full autonomy can lead to unexpected actions you didn’t plan for. Until it’s more reliable, the smartest move is to keep AI supervised while it works so you stay in control.

→ View original post on X — @learnopencv,

10 April 2026
AI Won’t Kill Software Jobs: Jevons Paradox Explained

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@learnopencv

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10 April 2026 6h53

Will AI kill software jobs?
History says no.
Jevons Paradox: when steam engines got efficient in the 1800s, coal usage went UP, not down.
Same with software. I've written more code in the last month than in 2 years — because AI makes it that easy.
Cheaper software = more demand,… pic.twitter.com/rDntwIBVk2
— Satya Mallick (@LearnOpenCV) 10 avril 2026

Will AI kill software jobs?
History says no.
Jevons Paradox: when steam engines got efficient in the 1800s, coal usage went UP, not down.
Same with software. I've written more code in the last month than in 2 years — because AI makes it that easy.
Cheaper software = more demand,

→ View original post on X — @learnopencv,

10 April 2026
Ultralytics Platform: Unified Ecosystem for Computer Vision Development

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@learnopencv

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09 April 2026 15h55

Ultralytics Platform: Simplifying End-to-End Computer Vision Development

In this episode of Artificial Intelligence: Papers and Concepts, we explore the Ultralytics Platform, a unified ecosystem designed to make building, training, and deploying computer vision models faster and… pic.twitter.com/Zioeq0StfK
— Satya Mallick (@LearnOpenCV) 9 avril 2026

Ultralytics Platform: Simplifying End-to-End Computer Vision Development In this episode of Artificial Intelligence: Papers and Concepts, we explore the Ultralytics Platform, a unified ecosystem designed to make building, training, and deploying computer vision models faster and

→ View original post on X — @learnopencv,

9 April 2026
AI Agents Execute Tasks: Building Apps, Editing Files, Analyzing Data

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@learnopencv

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09 April 2026 15h32

Agent AI isn’t just answering questions, it’s executing real tasks like building apps, editing files, and analyzing data with minimal input. The difference is it uses tools to get work done, turning ideas into finished outputs far faster than traditional workflows. pic.twitter.com/atR5PQjtdc
— Satya Mallick (@LearnOpenCV) 9 avril 2026

Agent AI isn’t just answering questions, it’s executing real tasks like building apps, editing files, and analyzing data with minimal input. The difference is it uses tools to get work done, turning ideas into finished outputs far faster than traditional workflows.

→ View original post on X — @learnopencv,

9 April 2026
CNNs and VLMs: Combining Eyes with Reasoning in AI

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@learnopencv

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08 April 2026 17h26

CNN → "Where is this object?"
VLM → "What is happening in this image?"

CNNs give machines eyes. Vision Language Models give them the ability to reason about what they see.
They're not replacing each other — the most powerful AI systems combine both.#ComputerVision #VLM #AI… pic.twitter.com/b7JQAtDVkf
— Satya Mallick (@LearnOpenCV) 8 avril 2026

CNN → "Where is this object?" VLM → "What is happening in this image?" CNNs give machines eyes. Vision Language Models give them the ability to reason about what they see. They're not replacing each other — the most powerful AI systems combine both. #ComputerVision #VLM #AI #MachineLearning #OpenCV

→ View original post on X — @learnopencv,

8 April 2026
AI Transparency and Data Privacy: Building User Trust

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@learnopencv

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08 April 2026 15h32

The biggest problem with AI isn’t the technology itself; it’s when people don’t know it’s being used or how their data is handled. When companies are upfront about AI usage, it builds trust and gives users the choice to opt in or out. pic.twitter.com/pXhvRVPxW8
— Satya Mallick (@LearnOpenCV) 8 avril 2026

The biggest problem with AI isn’t the technology itself; it’s when people don’t know it’s being used or how their data is handled. When companies are upfront about AI usage, it builds trust and gives users the choice to opt in or out.

→ View original post on X — @learnopencv,

8 April 2026

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