Nipun C Parameswaran

Open source enthusiast

[codila @0xCodila]

This free 6-hour course gets you Anthropic official "Claude Certified Architect" certificate

with it you'll be hired at $250K/year in Anthropic's ecosystem

10:17 - set up your first Claude SDK in 10 min
47:36 - agentic loop foundations
1:52:53 - graph engineering
2:50:00 - tool use - make your agent act, not just think
4:15:46 - advanced agent patterns

after watching the full freeCodeCamp tutorial (12 hours) - go to Anthropic's website and take the exam - you're ready

watch it today - then read how to become a knowledge graph architect in the article below ↓

[Alok Kumar @Alokkumarzz]

A billionaire trader spent 40 years trying to delete this documentary that shows him making $100 million in a single afternoon.

Bookmark & watch today, no matter what.

[Nipun C Parameswaran @cnipunp]

@PCSpecialist Spain 3, Argentina 0

[Austin Armstrong @SocialtyPro]

Don't pay for ElevenLabs, use Voxilica
Don't pay for Loom Pro, use ScreenDraft
Don't pay for Midjourney, use Glimpse Diffusion
Don't pay for Buffer, use PulseSocial
Don't pay for Notion AI, use ZenBrain
Don't pay for Zapier, use HookFlow
Don't pay for Typeform, use FormForge
Don't pay for Intercom, use ChatSprout
Don't pay for Crunchbase, use VentureMap
Don't pay for Viral Scripting & Video Research, use Syllaby
(SAVE THIS before it disappears)

[Daniel van Strien @vanstriendaniel]

A 0.9B model is claiming SOTA for document parsing!

OvisOCR2: 96.58 on OmniDocBench v1.6 — reportedly the first end-to-end model to beat the pipeline systems. Apache 2.0.

Day-1 recipe: OCR any @huggingface dataset to markdown with one command on HF Jobs — no local GPU needed.

[Alvaro Cintas @dr_cintas]

NVIDIA just made AI detect objects 10x faster by deleting one step.

It's called LocateAnything, and it removes the biggest bottleneck no one else was fixing in vision-language models.

Normally a model builds each bounding box one coordinate token at a time. 100 objects means thousands of tokens before an answer. NVIDIA scrapped that: their Parallel Box Decoding predicts the whole box in a single forward pass, as one atomic unit.

→ 12.7 boxes/sec on one H100
→ 10x faster than Qwen3-VL
→ +3.8% F1 on LVIS, accuracy up, not down
→ 3B params, runs on one consumer GPU

Treating the box as one unit keeps its coordinates tied together, which is why accuracy climbed instead of falling.

One model handles detection, GUI grounding, OCR, and document understanding, ready for computer-use agents, robotics, and document pipelines.

100% open source, weights, code, demo, and paper all live.

[Steve (Builder.io) @Steve8708]

Three skills I use every day in Claude Code and Codex to solve my hardest problems:

1️⃣ /agent-watchdog

When I have one agent like Codex working on a task and I don't fully trust it's going to do everything right, I'll open up another one like Claude Code and tell it to watchdog the Codex thread.

You can copy the Codex deep link into Claude Code and it'll look at the prompt you sent, watch the Codex thread until it's done, then compare the Codex solution to how it was planning to solve it and automatically fix anything that Codex missed.

It can also test the work of the other agent end-to-end.

Similar to the idea of OpenRouter's new Fusion feature, I've definitely found that two models thinking through a problem and checking each other's work can be wildly more impactful than just one.

2️⃣ /plan-arbiter

Similar ideas as /agent-watchdog - but with this one you have both make plans, compare plans, negotiate the differences, and make a final plan to execute.

I find Claude Code is better at writing plans, but Codex is faster and cheaper to execute on them.

Then I usually have Claude Code watchdog the Codex work and fix anything that was missed.

3️⃣ /read-the-damn-docs

One thing that drives me crazy with coding agents is they're so reluctant to look up docs.

They'll just guess and guess and guess at the right API surface for things, or the right solution to an integration of two things.

Once I explicitly tell it to look up the docs, it says "Oh, I see the answer," and it fixes the problem.

So I made the /read-the-damn-docs skill.

Add it and your agents will know when and how to do efficient web searches to look up docs for the types of problems you really should look up docs for.

All of these are totally open source over on my GitHub. If you try them, let me know your feedback.

Will link to them below:

[Rahul @sairahul1]

GOOGLE CEO SUNDAR PICHAI: "IF YOU DON'T LEARN HOW TO ORCHESTRATE AGENTS NOW, YOU'LL SPEND 2027 CATCHING UP TO PEOPLE WHO STARTED TODAY."

30 minutes on why the best engineers stopped writing code line by line and started orchestrating agents instead.

Most people think building an agent requires an engineering degree.

It doesn't.

It requires one guide and one afternoon.

Watch the interview. Then read the article below.

One guide. One afternoon. That's all it takes.

[Simon Taylor @sytaylor]

I love this! Santander has open-sourced its open-source AI initiatives.

The bank pushed 11 repos, live this week under Apache-2.0 on the code, but the data synthetic or anonymised only.

Quite a moment for a bank this size, putting its AI control layer on the open internet for anyone to fork. This is the bit every bank has to get right.

So what is it?

→ autoguardrails: a scaffold for stress-testing LLM guardrails, jailbreaks included (can we use this LLM?)

→ "mechanical governance" for high-stakes LLM decisions, with hard gates and governance metrics (can we trust an LLM with this decision?)

→ mutatis-mutandis: discrimination testing with counterfactual comparators, straight out of a published paper (very important if you're lending!)

→ stressed-datasets: public benchmarks republished in "stressed" form to probe model robustness in that scenario

→ gen-fraud-graph: a synthetic fraud-graph generator to benchmark fraud detection (really, really cool, need to dig into this one)

→ llm_bridge: a vendor-neutral client for OpenAI, Bedrock and Gemini, so you skip the lock-in (again, how many companies are struggling with this?)

→ ralph: their own spin on the Ralph loop, the run-an-agent-in-a-loop trick from the indie AI crowd

I think I need to write a whole Rant on each of these pieces.

The most important thing for a big regulated actor is "Can you show a decision was safe, fair, auditable, and the same tomorrow as it was today." Santander published its working answer and handed it to everyone, competitors included.

Why give it away?

1. Attract talent - this is a huge signal they've got their AI act together

2. Signal internally - We have these tools, use them

3. Give regulators confidence - Here's how we work, you can audit it

(The board that signs off on releases includes Legal and the CISO. That tells you how seriously they treat it.)

I've watched banks spend years trying to govern AI behind closed doors and ship nothing. Doing it in the open, with a contributor agreement and a proper open-source office, is a faster route to getting it right.

The banks that pull ahead from here will be the ones who can prove their AI works.

@bancosantander just open-sourced a head start.

Repo is here. 👇

https://t.co/IilShwzvl2

[Ebokify @ebokify]

5 Free Tools Every ECE Student Should Know About 🛠️✨

Spent 2 years finding the best tools for hardware + software projects.
Here's what actually worked (all FREE):

1️⃣ Wokwi (https://t.co/sfRS3vysVW)
→ Simulate ESP32/Arduino circuits in browser
→ No hardware? No problem!
→ Debug your code BEFORE buying components
→ I used this to test my IoT projects before deploying
Best for: Learning, prototyping, debugging

2️⃣ EasyEDA (https://t.co/7QQHXJPWBH)
→ Design PCBs for free
→ Export Gerber files for manufacturing
→ Huge component library
→ I designed my first PCB here during our Value Added Course
Best for: PCB design, schematic capture

3️⃣ Tinkercad (https://t.co/i55bDLa8dl)
→ 3D modeling + Arduino simulation
→ Super beginner-friendly
→ Used it before printing in our Idea Lab
Best for: 3D printing, circuit simulation

4️⃣ Fritzing (https://t.co/vgdzPc77Ul)
→ Beautiful circuit diagrams
→ Perfect for project documentation
→ Used it in my hackathon presentations
Best for: Project reports, presentations

5️⃣ VS Code + PlatformIO
→ Best IDE for ESP32/Arduino
→ Better than Arduino IDE (trust me)
→ Auto-completion, debugging, multi-board support
→ Game changer for serious embedded work
Best for: Professional embedded development

💡 Pro Tip:
Don't just collect tools. Master 1-2 that fit your workflow.

I use: Wokwi (testing) → EasyEDA (PCB) → VS Code (coding) → Tinkercad (3D printing)

🔽 Download Best ESP32 eBooks
📕 https://t.co/yUaVkQfGM1

What's YOUR favorite tool? Share in comments! 👇

#ECE #EmbeddedSystems #Arduino #ESP32 #PCBDesign #FreeTools #EngineeringStudents #IoT #TechTools #StudentResources

[Mustafa @oprydai]

this is how I learn btw.

Prompt: "You are a neuro-optimized tutor. I want to learn any complex skill 10x faster than others. Create a weekly learning blueprint based on spaced repetition, interleaving, Feynman technique, and active recall. Apply it to [insert topic]. I want to be in the top 1% in 90 days."

[Damir Akaza @Damir_Akaza]

Jane Street, one of the richest and most secretive firms in the world, paid him between $330,000 and $600,000 a year, and in just a couple of months he built an AI system that runs TRILLIONS of operations per second

"we just hired a kid... and he turned out to be a supercomputer in a human body" is what they're whispering now at Jane Street

a math genius who pushed supercomputers to their limit. now Wall Street's quant traders are in shock

in this hour-long lecture he breaks down how to use his machine to process trillions of data points

bookmark it right now and watch it instead of reels to learn how to do the same ↓

[shmidt @shmidtqq]

OpenAI co-founder, ex-Tesla AI chief: Andrej Karpathy:

"The things agents can't do - that's your job now."

Three things he said in an hour. The third splits the room.

One: no hand-written code since December. Sixteen hours a day he just directs agents. He calls it AI psychosis.

Two: apps are dead. His agent reverse-engineered his house and replaced six of them.

Three is your job. Save it. Then bet: do your skills outlive his agents?

[Puneet Patwari @system_monarch]

I've been a backend Engineer for 12+ years. Today, I'm a Principal Engineer at Atlassian.

I've designed systems that handle millions of requests. Sat on both sides of system design interviews.

Reviewed more architecture docs than I can count.

Starting today, I'm breaking down the fundamentals of scaling for the next 25 days.

If you're learning system design bookmark this thread, you're going to get a lot of learning from this.

[Khairallah AL-Awady @eng_khairallah1]

Anthropic engineer:

"You're not supposed to prompt Claude. You're supposed to build a system that prompts itself."

this is one of the best workflows I've seen in a long time

in this video she breaks down exactly how most people are using Claude:

- the 14% you lose to CLAUDE.md before typing a word
- the plugins that 95% of users have never installed
- the workflows that run without you typing a single prompt
- why typing one prompt and closing the tab is leaving 90% on the table

if you've been using Claude for months and still start every session from scratch, you have at least 28 untouched features. probably 30

instead of another show tonight, watch this

make sure to bookmark it before it gets lost in your feed

full guide in the article below

[Khairallah AL-Awady @eng_khairallah1]

Anthropic CEO Dario Amodei:

"The cheapest way to use Claude is also the smartest. Most devs do the exact opposite"

this is one of the best interviews I've seen in a long time

in this interview he breaks down exactly how a system changes everything:

- the memory and context features that turn Claude into a second brain
- the knowledge architecture most users don't know Claude can build
- the integration layer that connects Claude to your actual workflow
- why typing one question at a time is the most expensive way to use Claude

if you've been using Claude for months and still start every conversation from scratch with zero context, you don't have a Claude problem. you have a system problem

instead of another show tonight, watch this

make sure to bookmark it before it gets lost in your feed

full guide in the article below

[elvis @omarsar0]

Increasingly, HTML Artifacts are becoming a core part of how I work with AI agents.

Long-horizon agent sessions need a better way to surface insights about what work it has done.

This may not be obvious right now, but as you start to let your agent work on dynamic workflows, large codebases, long-running loops (e.g., using /goal), and deep research tasks, you need a good way to present results. Chat window is not it.

You also don't want to just trust everything the agents do. Artifacts help provide an important verification layer, which in turn enables important decision-making.

I like HTML artifacts because I can just ask the agent to produce as many of them (and in whatever form) as I need to verify the work and make sense out of everything. I even built a nice tab system for my artifacts. They are great for continual learning and research.

I use HTML artifacts for logging, tracking experiments, brainstorming, managing my inbox, code reviews, agent session management, deep research, writing, reading, and so much more.

I believe @karpathy wrote about this somewhere: As we move on to more advanced applications of AI agents and outputs get more complex, we will start to find the need for even more advanced forms of interactions with AI, including interactive neural videos/simulations.

[rari @0xwhrrari]

Claude opus 4.8 dropped and Anthropic released Boris Cherny's prompt workshop

One of the people actually building claude explains how to use it properly

Free
No signup
No paywall

The first 8 minutes are better than most $300 ai courses

Context
Task structure
Cleaner outputs
Fewer wasted prompts

Watch it and bookmark it before this gets sold back to you as a course

[darkzodchi @zodchiii]

Anthropic engineer:

"You're not supposed to watch Claude Code work. You're supposed to wake up and review what it shipped."

In 22 minutes she builds the entire workflow live on camera.

Most people close their terminal and everything stops.
This setup keeps shipping while you sleep.

Watch the video, then save the exact setup below👇

[Wildminder @wildmindai]

SUPIR upscaler is outdated. ASASR- turns blurry, low-quality photos into sharp, high-res images. Prevents the fake hallucinated details.

- improves OCR
- high segmentation accuracy
- based on FLUX.1 dev

this looks sweet

https://t.co/kx4A4N1wDc