Jaden — quant e/acc

[Jaden — quant e/acc @Kaibaatem]

📌📌

[𝑫𝒂𝒊𝒍𝒚𝑳𝒂𝒎𝒃𝒐𝒓𝒈𝒉𝒊𝒏𝒊🐃™ @DailyLamboTM]

Lamborghini Huracán STO 💦

[Bindu Reddy @bindureddy]

Super excited for our open-weights release on Thursday...

A new LLM that is almost FREE but massively improves on long-running personal agentic loops

Yes, it will be available via the API and be better than DeepSeek Flash.

Sneak peek at our NYC conference tomorrow! 🚀

[Dipanshu Kushwaha @Dipanshu_AI]

00:15 - The right way to prompt Claude
33:21 - What makes Claude act dumber on your code
01:33:39 - How Anthropic use Claude every day
02:50:56 - The fix that makes Claude way smarter This

4-hour Anthropic free course replaces about 10 paid engineering courses.

Watch it today, then read the step-by-step guide on building loops below.

[Liam | AI Tools & News @ottleyai]

50 AI tools that are actually FREE:

No trials.
No monthly credits.
No subscription required.

Most can run locally or self-hosted.
The best part?
A lot of these can run entirely on your own machine.

No subscription.
No waiting for monthly credits.
Your data can stay local.

You really don’t need an expensive AI stack to start experimenting.

Some of these tools can optionally connect to paid APIs or models. If you want to keep usage at $0, pair them with local/open models instead.

A few examples are explicitly designed for local/offline or self-hosted use: Open WebUI can run entirely offline, AnythingLLM offers a free local desktop experience with no account required, Cline supports local models, and Fooocus is free/offline software.

50 AI tools :

Local AI / LLMs :

1. Ollama
2. llama.cpp
3. GPT4All
4. Jan
5. LocalAI
6. Open WebUI
7. AnythingLLM
8. text-generation-webui
9. vLLM
10. MLC LLM

AI Coding :

11. Aider
12. Continue
13. Cline
14. OpenCode
15. Kilo Code
16. Goose
17. Tabby
18. OpenHands
19. mini-SWE-agent
20. SWE-agent

Images :

21. ComfyUI
22. AUTOMATIC1111
23. https://t.co/adpbssjgIh
24. InvokeAI
25. Fooocus
26. Stable Diffusion WebUI Forge
27. Diffusers
28. Krita AI Diffusion
29. Upscayl
30. Real-ESRGAN

Voice + Audio :

31. Whisper
32. whisper.cpp
33. faster-whisper
34. Piper
35. Coqui TTS
36. Bark
37. AudioCraft
38. Demucs
39. RVC
40. OpenVoice

Agents + RAG :

41. LangChain
42. LangGraph
43. LlamaIndex
44. CrewAI
45. AutoGen
46. Dify
47. Flowise
48. RAGFlow
49. Haystack
50. Qdrant.

[Md Ismail Šojal 🕷️ @0x0SojalSec]

Stop reading attention is all you need.

Transformers (LLMs) clearly explained with visuals:

- Real GPT-2 visualizer
- tokens to embeddings
- 12 attention heads (Q, K, V, scale, mask, softmax)
- multi-head Q/K/V
- residual + MLP
- next-token probabilities

That’s the difference between reading about transformers and seeing one think.

- https://t.co/zBmxt1HW1f

[AI_Explorer @ai_explorer25]

Andrej Karpathy’s 1-hour Stanford lecture on AI engineering is one of the best explanations I’ve seen of how AI systems actually work.

The progression is simple:

10% → LLM
30% → Prompt
50% → Agent
70% → Loop
100% → Graph

The key takeaway:

AI engineering isn’t just about writing better prompts.

It’s about building systems around models — giving them context, memory, tools, feedback loops, and data flows.

“Delete everything, keep Graph.”

Definitely worth watching if you’re building with AI agents.

Watch → Bookmark it

[Noisy @noisyb0y1]

He is 18 built his own AI company in 60 minutes - it made $1.4M in a year and at Stanford he shared how:

00:34 - how to build an AI company in 1 hour with Opus 5
24:34 - Claude agent replaces an entire team and launches the business
43:48 - how to reach $1.4M at 18 with no experience building AI companies

after watching one hour in Claude Code - AI company ready and in the first month 700 clients and $50k.

save & watch - the article below shows how to build an AI company in one hour that brings $1.4M in the first year.

[Leonard Rodman @RodmanAi]

10 GITHUB REPOS THAT CAN HELP YOU BUILD INCOME STREAMS

1. AutoHedge
AI-powered tools for automated trading workflows.
→ https://t.co/I8e0tP5V1Z

2. Vibe-Trading
Explore AI-powered trading and financial workflows.
→ https://t.co/tHJBGoaoFv

3. Claude Ads
Automate ad creation and management with AI.
→ https://t.co/pwZDLacpUB

4. Toprank
Tools for improving visibility and ranking.
→ https://t.co/iyBpTAXT3M

5. Fincept Terminal
Open-source financial research and analysis terminal.
→ https://t.co/itgN0EQFrV

6. Agentic Inbox
Build agent-powered workflows around email and inboxes.
→ https://t.co/wQTf4YD7Wx

7. ClawRouter
AI routing tools for working with different models and contexts.
→ https://t.co/0EqE3dVMvL

8. Camofox Browser
Browser automation built for AI agents.
→ https://t.co/QpMsKEGsjl

9. Open Higgsfield AI
Open-source tools inspired by AI video generation workflows.
→ https://t.co/oYQ7MpKEzt

10. Hyperframes
AI-powered video and motion design workflows.
→ https://t.co/96UDoXovVq

Some interesting projects to explore if you're building with AI.

Bookmark this.

[Tech with Mak @techNmak]

I put together a handbook on how attention works, from the Q/K/V equation up through how it actually runs in modern LLMs.

Self vs. cross-attention, causal masking, multi-head attention, RoPE, KV caching, MHA/MQA/GQA/MLA, FlashAttention, worked through by hand, with citations back to the original papers.

Made it to be the explanation I wish I'd had.

[Tech Fusionist | Kushal Gangil @techyoutbe]

1 hour “Claude Code Masterclass” by Anthropic Senior Engineers 👇👇

[Pratishtha Baraskar @PratishthaTwitX]

How to Build an AI Agent Complete Roadmap

Building an AI agent isn’t just about choosing an LLM.

You need the right architecture around it.
Here’s the complete breakdown 👇
Follow for more such info: @PratishthaTwitX

[Raya @coder_raya]

50 websites you’ll wish you knew sooner 👀

1. https://t.co/s5AZhxGqWs — Discover useful AI tools
2. https://t.co/qvP81KbYZY — Find AI tools for almost anything
3. https://t.co/HiKsZfv9Jn — Explore AI tools & apps
4. https://t.co/hXClfK9VIY — Try community-built AI demos
5. https://t.co/AhOBxdxCuZ — Run AI models online
6. https://t.co/7nDfyszlKD — AI video & creative tools
7. https://t.co/mzxu8VBAhR — AI image generation
8. https://t.co/cmQGUvT7vv — Create images with strong text rendering
9. https://t.co/wKtGSECHyG — Generate AI music
10. https://t.co/jaosD5EsHn — AI voice generation
11. https://t.co/LLGbEcYtvy — Create presentations with AI
12. https://t.co/ysHAxKfKtE — Turn ideas into visual diagrams
13. https://t.co/xBWQBm88L0 — Collaborative online whiteboard
14. https://t.co/DiRQkVjqw8 — Simple hand-drawn style diagrams
15. https://t.co/JCSZ9s0w2r — Create diagrams & flowcharts
16. https://t.co/H10RohLK1G — Open-source design platform
17. https://t.co/KYYC8imaHN — Generate color palettes
18. https://t.co/0wroPrzVtO — Find font combinations
19. https://t.co/NxcWkahc51 — Identify fonts from images
20. https://t.co/dnXbyRJvfz — Create favicons quickly
21. https://t.co/WGBTavZdI7 — Create QR codes
22. https://t.co/KvzEg4iudx — Compress JPEG images
23. https://t.co/ybw0owYvMV — Compress PNG & WebP images
24. https://t.co/KVlAkrqyDu — Convert files between formats
25. https://t.co/PYdJBtJZt8 — Convert almost any file
26. https://t.co/QAZk6BePbs — Edit & optimize images
27. https://t.co/c5RUYYOt9B — Create vector graphics online
28. https://t.co/qGxMMeCGyV — Free high-quality photography
29. https://t.co/72dVhE4dw2 — Free stock photos & videos
30. https://t.co/Y352bjyyTE — Free images, videos & illustrations
31. https://t.co/GiJeoS2GT3 — Free stock videos, music & templates
32. https://t.co/bubuf9vKJm — Free stock videos for creative projects
33. https://t.co/gU85AqwxXu — Build customizable human illustrations
34. https://t.co/edSJuzfv3n — Free customizable illustrations
35. https://t.co/piYaFjaks4 — Animated illustrations for projects
36. https://t.co/6ykSDyX1Ql — Learn how sitemaps work
37. https://t.co/ltaxpvzRHl — Build & test regular expressions
38. https://t.co/E1UXNWMHaQ — Format & validate JSON
39. https://t.co/VVozs8B8Zq — Decode and inspect JWT tokens
40. https://t.co/8WmejDegMm — Test & explore APIs
41. https://t.co/9lU8m6jh6h — Send HTTP requests online
42. https://t.co/fCEKMwjqGt — Create beautiful code screenshots
43. https://t.co/2qU7VB6Ks4 — Turn code into beautiful images
44. https://t.co/T1mmowubKy — Check JavaScript package sizes
45. https://t.co/WLi3tMG41j — Developer roadmaps & learning paths
46. https://t.co/ayLwdaAqgg — Explore career roadmaps
47. https://t.co/cI6TtgRHKY — Discover visual learning paths
48. https://t.co/j8pG4rxHOT — Learn programming concepts quickly
49. https://t.co/oWeAHT3fVb — Cheat sheets for developers
50. https://t.co/ktZ744pSc6… — Explore aircraft & satellites flying over you in real time

The internet isn’t just social media.

There are thousands of tools quietly making work, learning, creativity and everyday life more interesting.

🔖 Bookmark this. You’ll thank yourself later.

Follow @coder_raya for more useful websites & AI tools.

[Dipanshu Kushwaha @Dipanshu_AI]

Don't waste 2 years learning to become an AI agentic engineer in 2026.

Andrew Ng, the godfather of AI, gave the complete playbook to become one from scratch.

1 hour course. Free:

• 00:00 - AI agent basics
• 12:12 - AI Agentic workflows & design patterns
• 53:27 - Practical tips for building AI agents
• 1:20:30 - self-improving AI agent loops
• 1:30:19 - multi-agent AI systems

I watched it last night.

Halfway through, I realized I could get into Anthropic in weeks, not years.

Bookmark now. Watch it. Then build your own AI agent

[Rahul @sairahul1]

9 AI & ML youtube videos you can’t miss as an AI engineer.

It’s 50+ hours of technical hands-on courses:

1. Neural Networks Zero to Hero (Karpathy)
https://t.co/KgziFx2P9u
From micro-gradients to nanoGPT, code-first all the way.

2. Stanford CS336 (2025): Language Modelling from Scratch
https://t.co/0gtF0omYKJ
A full-stack LLM bootcamp: data → training → serving → evaluation.

3. MIT 6.S191 (2025): Intro to Deep Learning
https://t.co/MFHzKqN7eR
Transformers, diffusion, and modern DL in under 2 hours.

4. CS25: Intro to Transformers with Karpathy
https://t.co/yx9w9sWtEt
Turns “Attention Is All You Need” into code you can actually deploy.

5. Stanford CS229 Guest Lecture: Building LLMs
https://t.co/X1Gh2ZBiny
Behind the curtain of Stanford’s 2025 LLM stack.

6. Deep Dive into LLMs like ChatGPT
https://t.co/1PxKRE0vax
3.5 hours of how GPTs really work under the hood.

7. Let’s Build GPT from Scratch
https://t.co/r5UOw7584X
200 lines of Python → a functional GPT. Watch, code, repeat.

8. Agentic AI by Stanford
https://t.co/GCimNjaT75
Gain an introduction to the concept of agentic AI language.

9. Transformers and Self-Attention
https://t.co/pcZEYd9NNS
Introduction to the Transformers architecture from scratch

[Ichigo @iiiichigo_chan]

Andrew Ng just released a free 2-hour course on complete Harness Engineering

How to go from one prompt to a reliable system of agents that can run, test, and improve themselves:

09:14 - Build your first agent from scratch
33:11 - Master agent loops
1:02:46 - Turn loops into reliable workflows
1:30:15 - Build agents that improve their own work
1:49:05 - Run the complete system without supervision

Model → Harness → Reliable Software

Most agent tutorials stop once the model can call a tool

This one shows you how to build the infrastructure around it within the first 20 minutes

Most people are still prompting one agent at a time

Andrew Ng is already teaching the layer above:

Harnesses that give agents context, tools, tests, and feedback

Watch this brilliant course and build the harness

Then read the full architecture below ↓

[Codez @0xCodez]

Anthropic senior engineer just released a 1-hour course on building a team of agents with loops & graphs:

• 00:27 - introduction to CLAUDE.md & Plan mode
• 11:24 - building "skills" & "hooks" for Claude agents
• 37:02 - building agents & subagents with Claude
• 52:47 - self-improving loops & graphs for Claude agents

this 1-hour watch will replace a $500 agentic engineering course

watch today, then read how to build a team of self-improving agents that work together

[Dark Coder @dark_coderz]

AI Engineer Roadmap — 2026

① 🐍 Python
② 🐍 Git + GitHub
③ 🐍 SQL + Databases
④ 🐍 Machine Learning
⑤ 🐍 Deep Learning + PyTorch
⑥ 🐍 LLM Fundamentals
⑦ 🐍 Prompt Engineering
⑧ 🐍 RAG
⑨ 🐍 Embeddings + Vector Databases
⑩ 🐍 AI Agents + MCP + Function Calling
⑪ 🐍 Docker + Cloud Deployment
⑫ 🐍 Build & Ship AI Applications

🏆 Learn → Build → Deploy → Repeat

Complete the roadmap + build real-world projects.

That’s how you become an AI Engineer.

Save this roadmap. You’ll need it later.

[0xSEC @xeroxsec]

Privilege exploitation - UAC Bypass using CMSTPLUA COM Class
https://t.co/TfrC1oCnVL

#redteam #windows #malware #privesc

[Tom Dörr @tom_doerr]

Analyzes real-time social media sentiment to generate trading signals using Google Gemini AI and LunarCrush

https://t.co/z1I3RO7sjh

[7h3h4ckv157 @7h3h4ckv157]

CVE MCP Server

MCP server that turns Claude into a full-spectrum security analyst. Instead of juggling 15+ browser tabs across NVD, EPSS, CISA KEV, Shodan, VirusTotal, and GreyNoise, ask Claude one question and get correlated intelligence in seconds.

Credit: https://t.co/bupi01Zdcw