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Hindsight: Agent Memory That Learns, Not Just Remembers

Your AI agent forgets everything the moment the chat ends. Hindsight fixes that, and it's trending on GitHub right now.

0:42

Hindsight: Agent Memory That Learns, Not Just Remembers

5 views

48 min ago

OverClocked

How to set up AX agentic orchestration (GitHub)

You write one YAML file. ✓ Verified v0.3.0 · 2026-09-22 — commands sourced & fact-checked against the official docs.

7:07

How to set up AX agentic orchestration (GitHub)

0 views

43 min ago

Andrew Tsai

Great DEALS on CHEAP MacBooks: https://geni.us/cheap-macbook OpenEmu-Silicon: ...

8:01

M6 Mac mini Emulation is INSANE!

227 views

16 min ago

Saikiran Bali — AI Surgent Dev

GitHub PR Metrics: Empty Does NOT Mean Zero #Shorts

An empty array and a zero mean different things in GitHub's new pull request review metrics. This walkthrough explains three ...

0:40

GitHub PR Metrics: Empty Does NOT Mean Zero #Shorts

8 views

45 min ago

AI Anytime

Agentic RAG + Forward Deployed AI Engineer Mindset

What happens when RAG meets Agentic AI — and you approach AI engineering like a Forward Deployed AI Engineer?

1:01:52

Agentic RAG + Forward Deployed AI Engineer Mindset

1,973 views

Streamed 13h ago

OverClocked

How to use Model-Optimizer — A unified library of SOTA model optimization techniques #shorts

2x faster inference for your AI models. ⌨️ Copy-paste setup: ``` pip install -U "nvidia-modelopt[all]" git clone ...

0:30

How to use Model-Optimizer — A unified library of SOTA model optimization techniques #shorts

2 views

43 min ago

Anoraker

Earlier this year I ripped the crusty under-cabinet radio clock out of my kitchen and replaced it with a Raspberry Pi that shows the ...

0:38

I built a clock I can text

355 views

44 min ago

Zoetry AI

WebCMD Review | This Open-Source Browser Gives AI Agents Memory

Try WebCMD: https://github.com/agentrhq/webcmd What if your AI browser agent could actually remember what it learned from ...

4:36

WebCMD Review | This Open-Source Browser Gives AI Agents Memory

1,120 views

50 min ago

Angga Risky

In this video, Angga Risky explains how JWT authentication works through simple, beginner-friendly visual examples.

3:14

How JWT Works Under the Hood Beginner Guide by angga risky

0 views

13 min ago

Algorithm-E

F1 2022 GP der Emilia-Romagna | Alle Runden, Rundenzeiten und Sektoren

Reihenfolge nach Abschluss derselben Runde, mit Rundenzeiten, S1/S2/S3, Reifen und FIA-Endergebnis. Rot markiert den bis ...

0:59

F1 2022 GP der Emilia-Romagna | Alle Runden, Rundenzeiten und Sektoren

3 views

13 min ago

Mehdi Hosseini Moghadam

L-29: Build a GPT end to end – Transformer Blocks to Text Generation #gpt #transformer #python

L-29: Build a GPT end to end (Hard) This video addresses the challenge of constructing a complete Generative Pre-trained ...

4:32

L-29: Build a GPT end to end – Transformer Blocks to Text Generation #gpt #transformer #python

0 views

51 min ago

Bang Tutorial

Build a Fighting Game Using ChatGPT (GPT-6 Astra + Higgsfield MCP)

👉 Try Higgsfield MCP + GPT-6 Astra: https://higgsfield.ai/s/gpt-6-astra-yt-bangtutorial-ThxLAr How to make a fighting game ...

13:31

Build a Fighting Game Using ChatGPT (GPT-6 Astra + Higgsfield MCP)

77 views

59 min ago

Mehdi Hosseini Moghadam

L-40: Greedy, top-k, top-p – LLM Decoding: Sampling #llm #decoding #python

L-40: Greedy, top-k, top-p (Easy) This video covers the core concept of LLM decoding, which converts raw model logits into ...

4:06

L-40: Greedy, top-k, top-p – LLM Decoding: Sampling #llm #decoding #python

0 views

41 min ago

Mehdi Hosseini Moghadam

L-30: Count the parameters – Count Transformer Parameters by Hand #llm #transformer

L-30: Count the parameters (Easy) This video addresses a fundamental problem in machine learning engineering: calculating the ...

5:41

L-30: Count the parameters – Count Transformer Parameters by Hand #llm #transformer

0 views

49 min ago

Mehdi Hosseini Moghadam

L-27: ReLU → GELU → SwiGLU – SwiGLU vs GELU MLP Parameter Count: The 8/3 Trick #llm #transformers

L-27: ReLU → GELU → SwiGLU (Medium) This video addresses a common challenge in large language model architecture: ...

3:30

L-27: ReLU → GELU → SwiGLU – SwiGLU vs GELU MLP Parameter Count: The 8/3 Trick #llm #transformers

0 views

54 min ago

SECourses

Blender Lecture 3: Mirror, Bevel and Array for an Editable Field Station

Build a Blender scene that stays easy to revise. Continue the Lumen Field Station with an editable courier, repeated brackets, ...

1:29:34

Blender Lecture 3: Mirror, Bevel and Array for an Editable Field Station

3 views

36 min ago

The Code Yatra

(Day 29) 🚀 React Router DOM & Routing | Complete React.js Tutorial in Hindi

thecodeyatraofficial Welcome to **Day 29 of the 30 Days Web Development Challenge** In this video, we'll learn **Routing in ...

55:32

(Day 29) 🚀 React Router DOM & Routing | Complete React.js Tutorial in Hindi

0 views

8 min ago

Mehdi Hosseini Moghadam

L-41: Beam search and its failures – Beam Search Implementation and Failures #llm #beamsearch #ai

L-41: Beam search and its failures (Medium) This video explores beam search, a decoding strategy used in large language ...

3:19

L-41: Beam search and its failures – Beam Search Implementation and Failures #llm #beamsearch #ai

0 views

39 min ago

Mehdi Hosseini Moghadam

L-28: Assemble a transformer block – Attention, FFN & Residuals #transformer #llm

L-28: Assemble a transformer block (Medium) This video addresses a core component of modern large language models: the ...

3:32

L-28: Assemble a transformer block – Attention, FFN & Residuals #transformer #llm

0 views

52 min ago

Mehdi Hosseini Moghadam

L-35: Mixed precision: fp32, fp16, bf16 – Mixed Precision Training #llm #deeplearning

L-35: Mixed precision: fp32, fp16, bf16 (Medium) This video addresses the challenge of training large language models efficiently ...

3:21

L-35: Mixed precision: fp32, fp16, bf16 – Mixed Precision Training #llm #deeplearning

0 views

45 min ago

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