Nobel Prize winner Demis Hassabis just accidentally revealed who survives the next 5 years and who doesn't.
"One person who understands AI will outperform an entire startup team"
Most founders heard that and thought: "Oh no, I need to learn prompt engineering"
Wrong.
That's not what "understands AI" means anymore.
It means: building workflows. Chaining systems. Automating entire departments.
Not typing better questions into ChatGPT.
The split is brutal:
> 90% of people = still using AI like a calculator
> 10% of people = treating it like infrastructure
In 5 years, the 10% will run everything with half the headcount.
The 90%? Replaceable.
Which group are you in?
Watch the full breakdown. This is the only skill gap that actually matters right now.
Bookmark this. You'll want to reference it.
THE GUY WHO WON ANTHROPIC'S HACKATHON JUST GAVE AWAY HIS ENTIRE CLAUDE CODE PLAYBOOK FOR FREE. 10 MONTHS OF WORK, ALL PUBLIC
Affaan Mustafa won the Anthropic x Forum Ventures hackathon by building a full startup in 8 hours with Claude Code. Then he open-sourced the exact setup that did it. It's called Everything Claude Code, and it turns Claude from one assistant into an entire engineering team
Repo: affaan-m/ecc
This isn't a prompt pack. It's a system he refined over 10+ months of daily use shipping real products
What's inside:
A huge library of skills, dozens of specialized subagents, and ready-made commands, all working together. Each piece does one job. One subagent reviews security against OWASP standards. One optimizes memory so Claude stops forgetting earlier decisions around hour three. One learns from your past sessions and projects so the setup gets smarter the more you use it. Others handle planning, test-driven development, and language-specific code review
Instead of one assistant writing code, you get an orchestrated team. A main session delegates to the right specialist when the task calls for it, the way a real dev team splits work
The best part: it's not locked to one tool. It runs in Claude Code, Cursor, Codex and OpenCode, across Windows, Mac and Linux. Free, MIT licensed
This is the difference between using Claude like a search box and running it like a team that ships. The guy spent 10 months figuring out what actually works so you don't have to
Bookmark this
Many people are calling the moment emotional when President Droupadi Murmu paused to console the mother of Kirti Chakra awardee Lt. Shashank Tiwari.
What many may not know is that President Murmu herself has endured unimaginable personal loss.
She lost both her sons and later her husband.
Few people in public life have experienced such profound grief and still carried on with dignity and strength.
When she reached out to comfort a grieving mother, it wasn’t merely a constitutional formality.
It was one mother recognizing the pain of another.
Protocol gives offices their dignity, but humanity gives them their soul.
That brief gesture reminded us that behind the office of the President stands a person who understands loss not from books or speeches, but from her own life.
Respect to President Droupadi Murmu for showing that compassion and empathy remain among the highest qualities of leadership.
Deviputrudu
The movie had a really good story, the entire concept of Dwarka going under water, Krishna putting all the powers of the universe in a metal casket, and the villians after it.
Venky was really good as the archaelogist Balaram, and the scene where he changes from atheist to believer was one of the best. The romantic track with Soundarya too was good.
The other Venky role as a petty thief was however not that good. In fact that comedy track in first half and romance track with Anjali Zhaveri was kinda cringe and dragged it down.
However the scenes when he is attacked in Dwarka, and those with that little girl who guides him are really good.
The VFX are damn good, especially scene where Venky opens the casket, the whirlpool scene and the ending.
Mani Sharma music is as good as ever , and BGM is quite haunting in some scenes.
The movie was quite good, except some scenes in first half. I guess it failed due to competition with Narsimha Naidu that was a massive hit then.
I feel had both Deviputrudu and Anji not gone for Sankranti release, both would have been a success.
Over the years though Deviputrudu has become a favorite on the DVD, TV circuit. In a sense this was the inspiration for Kartikeya 2.
INSTEAD OF WATCHING A 2-HOUR MOVIE.
Watch this Anthropic Claude for Finance lecture.
It’s probably the best free hour in quant AI right now.
Bookmark it and watch it today, no matter what.
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KARPATHY WAS RIGHT. THIS 40-MINUTE Y COMBINATOR LECTURE PROVES IT
Karpathy said we're in the 1960s of AI - most people using Claude Opus 4.8 are still acting like it's just a search engine
> software 3.0 - LLMs as operating systems, not chatbots
> autonomous agents that run entire workflows without you watching
the 32 skills in this article are how you actually cross that line
bookmark this 👇
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
Here is a repository with 30 open-source, end-to-end agent examples.
These are very sophisticated workflows using Google ADK. Their architecture diagrams alone are worth gold.
• Full documentation
• Source code
• Ability to one-click deploy
Video and links below.
If you are wondering how to get started with Ai + Trading, try doing this 👇
There is a 8 years old 360 pages of research paper published in SSRN portal. You can download it here
https://t.co/U8quh5FczA
Try using any ai tool like Claude, Gemini or ChatGPT to break it down and formulate rules based on that to adapt to Indian markets.
You will be surprised with its results.
Every single one of the points are a real problem.
But your understanding is broken, let me explain. :)
Norway has 55 lakh people. Total. That’s smaller than the population of Pune. Their entire country has fewer citizens than India’s 25 smallest cities individually. Norway also has 1.2 trillion dollars in sovereign wealth from oil reserves, accumulated over 50 years.
They have $250,000 per citizen sitting in the fund. India has roughly $3,400 per citizen in forex reserves.
Norway is what you get when a small population sits on top of one of the largest per-capita oil discoveries in human history.
The right comparison is other low-income, high-population, post-colonial democracies. Brazil. Indonesia. Nigeria. Bangladesh. Pakistan. Egypt. Mexico. South Africa. Vietnam. Philippines.
Compare on these and India isn’t doing badly. It’s doing better than most.
UPI is the world’s largest real-time payments system.
Aadhaar is the world’s largest biometric identity system.
We absorbed the global pandemic, the Ukraine war, the West Asia conflict, Trump’s tariffs, the Iran war, and a rupee fall without going into recession.
Most of those countries above did. Pakistan went to the IMF 24 times. Sri Lanka collapsed. Bangladesh is unstable. Egypt needed emergency Gulf bailouts. Argentina has 60% inflation. We stayed standing.
India is the only country in human history to add a trillion dollars of GDP every 18 months. We added our first trillion in 2007. Our second in 2017. Our third in 2024. Our fourth coming in 2026.
The problems you mentioned exist in every large, low-income, high-density country on earth.
Mexico City’s pollution is worse than Delhi’s.
Manila’s traffic is worse than Mumbai’s.
Lagos has worse road quality than Delhi.
Jakarta has worse air than Delhi.
Cairo has worse adulteration.
Karachi has more corruption.
Hanoi has higher pollution.
None of these countries are run by Modi. They’re all dealing with the same impossible math.
Industrialising a country of 145 crore people during a global energy transition, with limited natural resources, while keeping democracy intact, is the single hardest governance challenge in human history.
> China did it without democracy.
> South Korea did it with a population one-tenth our size.
> Japan did it with no major religious or linguistic diversity.
> Singapore did it with 50 lakh people total.
Nobody has done it at India’s scale, with our diversity, in democratic conditions.
So when someone asks “why hasn’t Modi built one city like Norway,” the answer is because building one Norway requires not having 144.5 crore other Indians to look after.
BREAKING: Claude can now map out your retirement better than most people charging $3,000 ever will.
Here are 6 prompts to figure out exactly when and how you can retire.
(Save this before it disappears).
People are generating $10K–$25k/month with Claude.
Not by being smarter. By using better prompts.
📘 The Ultimate Claude Prompt Handbook
1,500+ proven prompts for freelancing, content, copywriting, digital products, and online income. Plug and profit.
I usually Charge $250 but its FREE for 48 hrs.
Like + RT + Comment 'Claude' to get Free Copy.
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2026 Claude is my full operating system.
After 300+ hours, I’ve built the ultimate AI blueprint:
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Context is the bottleneck, and unfortunately, it's not something simple to solve.
Here is the way I think about "the right context" (the 4 ingredients I'm always looking for):
1. Context has to be navigable: You want agents to understand and traverse relationships in the context. This is much more useful than thinking of context as "chunks of information".
2. Context has to be fast: You don't want to spend your latency budget retrieving and building your context.
3. Context has to be fresh: You need to decide when your context is stale and when to refresh it.
4. Context has to compound: The more you use the system, the better it should get.
Redis released Iris, a brand new agent context and memory platform that you can use to power smart agents:
https://t.co/kPWMtq5BO5
First, they released the Redis Context Retriever, a semantic layer that sits over your live data.
Instead of getting top-k chunks from a vector store, the Context Retriever lets the agent traverse entities and find related information. For instance, Customer → Invoice → Product.
This is closer to graph traversal than regular retrieval.
Second, they released the Redis Agent Memory, a managed short and long-term memory for agents.
This will handle embeddings, retrieval, summarization, and durable state across sessions.
Every team that's building agents is now reinventing this, and most do it badly.
Third, they made Redis Data Integration generally available. This allows you to continuously sync from Postgres, MySQL, Oracle, warehouses, and document stores into Redis.
This is how you can keep your context fresh.
When you combine these three with Redis Search, you can handle semantic, hybrid, keyword, and structured queries with very low latency.
Thanks to the team for partnering with me on this post.