NISHANT TYAGI

India - Country, Riding Motor Cycle - Ecstasy, Following Cricket n Football - Pastime, Family - Life.

[METR @METR_Evals]

We have reached an agreement with Anthropic to conduct an independent investigation of agent incidents at the company and of their models’ alignment properties. We will publish one or more reports that will share our findings and describe our terms of engagement.

[1LittleCoder💻 @1littlecoder]

At least these guys are getting paid, we all did this for free on Github and Stack overflow 😂

[Jacob Coxon @hilbertspaess]

I resigned from Anthropic today. I spent the last three years doing pretraining research at both OpenAI and Anthropic. Neither company is acting responsibly. They are racing straight to self-improving superintelligence and gambling with our lives. More thoughts below.

[Vineeth K @DealsDhamaka]

If you are attempting the Claude Certified Architect foundations Certification ... material that could be useful

Share & Bookmark 📕

Study Guide (Based on the Official Exam Guide) - https://t.co/4SlbQ1Fgfv

[Priyanshu @priyanshudotsol]

A junior dev asked his Senior: "What separates a $100k engineer from a $300k one?"

The senior didn't say React.
He didn't say AI tools.
He opened MIT 6.824 Distributed Systems and said - "Start here"

This course will break your brain in the best way:
• How Raft consensus keeps systems alive when servers die
• How Google File System stores data at a scale most devs can't imagine
• Why your app survives or collapses - under real pressure
• The consistency vs availability decision that every big system loses sleep over

Framework devs are everywhere

Engineers who understand why systems fail and how to stop it are not

That's the gap.
That's the salary difference

[Ajay @ajay_2512x]

Just tried System Design Lab by Sumit Suman ,this is seriously impressive

A fully interactive platform (no signup!) covering everything from OOP & design patterns to distributed systems, with simulations, mock interviews, and even a "System Architect Survival" game based on real outages.

Hands-on > passive learning. This is how system design should be taught.

https://t.co/vONuNj910B

Great work building something genuinely useful for the community 🚀

[Garry Tan @garrytan]

PS my favorite way to run OpenClaw easily is AlphaClaw on an 8GB box just by clicking the Railway or Render button on the README here

https://t.co/XvAOhsxLZu

[Marc Andreessen 🇺🇸 @pmarca]

Magical OpenClaw experiences that use frontier models cost $300-1,000/day today, heading to $10,000/day and more. The future shape of the entire technology industry will be how to drive that to $20/month.

[Brandon Gell @bran_don_gell]

Prediction: Claude has massively taken the lead right now because they offer a better product, but that comes at a massive cost.

Buyers have not realized that included in a Claude subscription is not enough tokens to get real work done and that overages will cost $400 to $1,000 per day per user. Anthropic will need to buy significantly more compute, but because they don't own their own data centers, the cost to serve will continue to go up.

Spend will shift gradually and then quickly back to OpenAI, who can offer comparable models but at a much lower cost basis because they own their own data centers. Cost of inference will become the only competitive advantage making this market a race to the bottom.

Apple or Google will buy or merge(!!!) with Anthropic.

[Anthropic @AnthropicAI]

Introducing Project Glasswing: an urgent initiative to help secure the world’s most critical software.

It’s powered by our newest frontier model, Claude Mythos Preview, which can find software vulnerabilities better than all but the most skilled humans.
https://t.co/NQ7IfEtYk7

[Narendra Modi @narendramodi]

Today, India takes a defining step in its civil nuclear journey, advancing the second stage of its nuclear programme.

The indigenously designed and built Prototype Fast Breeder Reactor at Kalpakkam has attained criticality.

This advanced reactor, capable of producing more fuel than it consumes, reflects the depth of our scientific capability and the strength of our engineering enterprise. It is a decisive step towards harnessing our vast thorium reserves in the third stage of the programme.

A proud moment for India. Congratulations to our scientists and engineers.

[Vineeth K @DealsDhamaka]

Must for software developers using Claude🔖

Bookmark & Share!

Superpowers is a complete software development workflow for your coding agents, built on top of a set of composable "skills" and some initial instructions that make sure your agent uses them

Link - https://t.co/4JNdU17NIH
Claude superpowers - https://t.co/018yDd6Qvu

[Suni @suni_code]

Don’t overcomplicate it.

• Build a File Search Tool to learn recursion and indexing
• Build a Markdown to HTML Converter to practice parsing
• Build a Rate Limiter to understand queues and timing
• Build a JSON Database to learn serialization and storage
• Build a Chat Server (CLI) to understand sockets and concurrency
• Build a Static Site Generator to learn templates and file systems
• Build a Git-like Version Tracker to understand diffs and commits
• Build a Task Scheduler to learn cron like logic and timing
• Build a Cache System to understand TTL and eviction strategies
• Build a Load Balancer (simple) to understand routing logic
• Build a Port Scanner to learn networking basics
• Build a Config Manager to learn env files and parsing
• Build a Search Autocomplete using prefix trees (Trie)
• Build a Notes App with tagging to learn indexing
• Build a Simple Queue System to learn producers & consumers
• Build a Backup Tool to learn file copying and versioning
• Build a Feature Flag System to learn toggles and configs
• Build a Simple API Client (like Postman CLI)
• Build a Diff Tool to compare files line-by-line
• Build a Mini Template Engine to learn string processing

Build Projects, Not just tutorials.

[Vineeth K @DealsDhamaka]

Good AI Morning

Found an amazing repo of Agents on GitHub - msitarzewski/agency-agents (60K+ stars) - a complete AI agency at your fingertips with 147 agents

Bookmark and share 🫶 spread AI 🤖

https://t.co/Zao8NSiWSw

[Claude @claudeai]

Introducing Claude Code Security, now in limited research preview.

It scans codebases for vulnerabilities and suggests targeted software patches for human review, allowing teams to find and fix issues that traditional tools often miss.

Learn more: https://t.co/n4SZ9EIklG

[Aakash Gupta @aakashgupta]

One guy, coding alone at 5am, built the fastest-growing GitHub repo in history. 194,000 stars. Faster than React, Linux, and Kubernetes combined.

OpenAI, with thousands of engineers and billions in compute, couldn’t build it first. Steinberger connected Claude’s API to WhatsApp in an hour one night in November 2025. He called it a toy. Three months later, Meta’s Zuckerberg is DMing him on WhatsApp and Altman is offering Cerebras compute to win him over.

The math tells the whole story. Steinberger was spending $10,000-$20,000 a month of his own money, operating at a loss, routing sponsorship dollars to dependencies instead of his own pocket. OpenAI spent $13 billion of Microsoft’s money. And the solo dev’s agent framework went more viral than anything OpenAI shipped.

Sam calling him “a genius with a lot of amazing ideas” is doing a lot of heavy lifting. This is an acqui-hire of a project that proved OpenAI’s biggest vulnerability: the agent layer doesn’t need to be built by the model provider. Any developer with an API key and a messaging app could build a more compelling agent experience than the companies training the models. Steinberger proved it.

“OpenClaw will live in a foundation as an open source project” sounds reassuring until you remember that Chrome technically has Chromium too. Steinberger himself made the comparison. The open source version gets maintenance. The real agent capabilities get folded into ChatGPT’s product roadmap.

Sold his last company PSPDFKit for $100M+. Spent three years doing ayahuasca and traveling. Came back, failed at 43 projects, then built the most important open source AI agent on project 44.

OpenAI hired the guy who proved you don’t need $10B to build the agent future. You just need to ship faster than the committee can approve a product spec.

[Josh Woodward @joshwoodward]

🇮🇳 Good morning India! A lot of you asked for full-length mock JEE Main tests in @GeminiApp at no cost - done! Good luck on your prep!

Last week, SAT. This week, JEE.

What other global exams would be most helpful?

[FELIX @FellMentKE]

LINKEDIN COULDN'T GET ME A REMOTE JOB IN 3.5 YEARS

These websites did it in just 15 days.

Here's the exact 12 websites and filters I used:

[Arpit Bhayani @arpit_bhayani]

PostgreSQL lets you clone a 6GB database in 212 milliseconds instead of 67 seconds. Here's how...

Cloning databases comes in handy in a few situations:

- testing migration without touching prod data
- spinning up fresh copies for each test suite run
- resetting sandbox env between sessions
- reproducible snapshots for debugging

When your database is a few megabytes, pg_dump works fine. With hundreds of gigabytes, "just make a copy" becomes a serious bottleneck.

PostgreSQL has always had a templating system. Every `CREATE DATABASE` quietly clones `template1` behind the scenes, and you can replace `template1` with any database. (wrote about it earlier in one of my posts)

Version 15 introduced the `STRATEGY` parameter, switching to WAL_LOG by default (block-by-block copy via Write-Ahead Log). Smoother I/O, but slower for large databases.

PostgreSQL 18 has an option `file_copy_method = clone`. On modern filesystems like XFS, ZFS, or APFS, this leverages the FICLONE operation. Instead of copying bytes, the file system creates new metadata that points to the same physical blocks. Both databases share identical storage until you write something.

Here, the supported File System is doing the magic, which creates a copy-on-write (CoW) clone of a file.

When we update a row, the filesystem triggers copy-on-write only for the affected pages. The rest stays shared. 6GB clone takes zero additional space initially and grows only as data diverges.

One thing to keep in mind: the source database can't have active connections during cloning. This is a PostgreSQL limitation, not a filesystem one.

Pretty neat!