Zuku

robotics

[Tech with Mak @techNmak]

My CS degree never covered GPU programming.

I wish someone had handed me these 4 free CUDA resources on day one 👇

1./ NVIDIA - Modern CUDA C++
Learn GPU programming directly from NVIDIA. Video lectures, slides, and coding notebooks covering parallel algorithms, CUDA streams, and writing your own kernels.
https://t.co/SWe8ar4rBJ

2./ freeCodeCamp - CUDA Programming
12 hours with Elliot Arledge. Starts with setup and a C/C++ review, then moves into kernels, memory management, matrix multiplication, and custom PyTorch operations.
https://t.co/xNotDeynJc

3./ University of Illinois - Applied Parallel Programming
Understand CUDA’s execution and memory models, then work through tiling, reductions, scans, and convolution.
https://t.co/fSgQkvB212

4./ University of Oxford - CUDA Programming on NVIDIA GPUs
Free lecture slides and practical exercises from Mike Giles and Wes Armour. Covers memory, synchronization, libraries, and programming across multiple GPUs.
https://t.co/LmgC4bBIlI

[Justin Kim @justinplaygame]

15,000+ open-source PCBs. All in one place.
https://t.co/puJasqxIXg

[Lozaning @lozaning]

Someone told me you where trying to put an ESP32 in something and not tell me....

So I made a site that grabs all new FCC filings everyday, looks for an internal photos document within the filing, screen grabs any of those photos, parses them through a CV algo, and finds ESP32

[Ajeet Bharti @ajeetbharti]

अंतिम वाक्य: घर तो उसने भी चालीस साल से छोड़ रखा है!

[Ic Sharma @jpr_wale]

जय श्री बालाजी की 🙏🚩
आप सभी मित्रों को दीपावली के पावन पर्व की हार्दिक शुभकामनाएँ |
बालाजी महाराज व माँ लक्ष्मी की कृपा हम सब पर बनी रहे 😊🙏
#शुभ_दीपावली 🪔

[Tom Dörr @tom_doerr]

Browser-based ER diagram editor with SQL script generation

[Tom Dörr @tom_doerr]

CRM built for developers; alternative to Salesforce with PostgreSQL backend

[Tom Dörr @tom_doerr]

Converts PDFs to structured text with table, handwriting, and multi-column support

[merve @mervenoyann]

icymi there's a two new Nanonets OCR models, Nanonets-OCR2-3B and Nanonets-OCR2-1.5B-exp 🙌🏻

this model can handle forms (checkboxes), recognize watermarks, describes images, charts in docs and more!

it even handles flowcharts 🤯 it's multilingual and Apache-2.0 licensed 🙏🏻

[शिवाय @mohbhangpiya]

साला संघर्ष करते करते न कभी कभार इंसान टूट जाता है , दुनिया जहान की बातें कर लो पर मन में उठे तूफान को समेटने वाला कोई नहीं होता , जीवन जितनी दिखती है उससे कई गुना ज्यादा कठिन है।

[Job Corner @JOBCORNER247]

CISCO is offering FREE trainings and certifications for people looking to learn:

- Data Analytics,
- Data Science,
- Cybersecurity,
- JavaScript,
- Python
- Operating Systems & IT
- Digital Literacy

These are self-paced courses, so you can practice as you learn. You will get certified after completing the course.

Open this THREAD to get started on your learning.

RT for someone on your TL.

[Tech Fusionist | Kushal Gangil @techyoutbe]

Master AI and Python in Under 11 Hours - Taught by Andrew Ng 🔥🔥

[Victor @victor_explore]

🔥Free Google Collab notebooks to implement every Machine Learning Algorithm from scratch Link in comment

[SumitX @Sumits_X]

As a Reactjs developer,

Please learn :

1. Advanced State Management
- Redux & Redux Toolkit
- Context API
- Recoil or Zustand

2. React Performance Optimization
- Memoization (React.memo, useMemo, useCallback)
- Code Splitting
- React Profiler

3. Component Design Patterns
- Higher-Order Components (HOCs)
- Render Props
- Custom Hooks

4. Server-Side Rendering (SSR)
- Next.js
- Hydration

5. TypeScript with React
- Type Safety
- Advanced Types and Generics

6. Testing
- React Testing Library
- End-to-End Testing (Cypress, Playwright)
- Mocking and Stubbing

7. React Ecosystem and Tooling
- Webpack and Babel
- ESLint and Prettier

8. API Integration
- GraphQL (Apollo Client, Relay)
- SWR and React Query
- WebSockets and Real-Time Updates

9. Authentication and Authorization
- OAuth and JWT
- Role-Based Access Control (RBAC)

10. Code Architecture
- Monorepos (Nx, Lerna)
- Micro-Frontends
- Atomic Design

11. Web Performance Optimization
- Lazy Loading
- Progressive Web Apps (PWA)
- Service Workers

[Jackson Atkins @JacksonAtkinsX]

My brain broke when I read this paper.

A tiny 7 Million parameter model just beat DeepSeek-R1, Gemini 2.5 pro, and o3-mini at reasoning on both ARG-AGI 1 and ARC-AGI 2.

It's called Tiny Recursive Model (TRM) from Samsung.

How can a model 10,000x smaller be smarter?

Here's how it works:

1. Draft an Initial Answer: Unlike an LLM that writes word-by-word, TRM first generates a quick, complete "draft" of the solution. Think of this as its first rough guess.

2. Create a "Scratchpad": It then creates a separate space for its internal thoughts, a latent reasoning "scratchpad." This is where the real magic happens.

3. Intensely Self-Critique: The model enters an intense inner loop. It compares its draft answer to the original problem and refines its reasoning on the scratchpad over and over (6 times in a row), asking itself, "Does my logic hold up? Where are the errors?"

4. Revise the Answer: After this focused "thinking," it uses the improved logic from its scratchpad to create a brand new, much better draft of the final answer.

5. Repeat until Confident: The entire process, draft, think, revise, is repeated up to 16 times. Each cycle pushes the model closer to a correct, logically sound solution.

Why this matters:

Business Leaders: This is what algorithmic advantage looks like. While competitors are paying massive inference costs for brute-force scale, a smarter, more efficient model can deliver superior performance for a tiny fraction of the cost.

Researchers: This is a major validation for neuro-symbolic ideas. The model's ability to recursively "think" before "acting" demonstrates that architecture, not just scale, can be a primary driver of reasoning ability.

Practitioners: SOTA reasoning is no longer gated behind billion-dollar GPU clusters. This paper provides a highly efficient, parameter-light blueprint for building specialized reasoners that can run anywhere.

This isn't just scaling down; it's a completely different, more deliberate way of solving problems.

[ℏεsam @Hesamation]

Google is releasing a 5-Day AI Agents course on Kaggle. Their last course had over 420,000 learners.

This one covers:

> Agents and their architectures
> Tools & MCP integration
> Context Engineering
> Evaluating the quality of agents
> Prototype to Production

[merve @mervenoyann]

4B OCR with Apache-2.0 license outperforming Mistral OCR 🔥

Tencent released Points-Reader, it's a new model firstly trained on Qwen2.5VL annotations and then self-trained on real data

in many benchmarks, it performs better than Qwen2.5VL and MistralOCR!

[Ajeet Bharti @ajeetbharti]

बवंडर

बाहर हमेशा ही
बवंडर होता है
तुम दूर से चलकर आती हो
दरवाज़ा लगाती हो
और बताती हो
इस बवंडर के बारे में
इस किबाड़ के अंदर, इस जगह में
जिसे हम घर कहते हैं।

वो बवंडर दस्तक देता रहता है
तुम्हारे आने के पहले से लेकर
तुम्हारे जाने के बाद तक।
बस उतने ही क्षणों में
हम सुरक्षित होते हैं
या हमें लगता है कि
एक-दूसरे को पकड़े हुए हम सुरक्षित हैं।

डर है कि किसी दिन
ओ मेरी पोरफिरिया!
तुम आओ
और तुम्हें एक लाश मिले उस कमरे में।
तुम्हारे बालों में चलने वाली उँगलियाँ
तब तक ठंढी पड़ चुकी होंगी,
जिन कंधों पर तुम अपना सर लुढ़का देती थी
उन पर बड़े-बड़े चींटे चल रहे होंगे,
जिन होंठों को तुम बेतहाशा चूम लिया करती थीं
वो ठंढ में जम कर सफ़ेद पड़ चुके होंगे,
जिन आँखों को तुम हमेशा ही पढ़ लेने का दावा करती थीं,
उनकी पलकों को जब तुम उठाओगी
वहाँ एक अशांत सी कहानी मिलेगी:

“ओ मेरी पोरफिरिया!
तुमने दरवाज़ा खुला क्यों छोड़ दिया था?
वो बवंडर मुझे लील गया।”

-
(4/09/2016 को लिखा था)

[Dear Son. @DearS_o_n]

Men can stay up til 2 a.m., wake up at 6, be in debt, broke, alone, and still have faith that one day, everything will work out. It's called being a man.