My friend applied to 250 tech jobs in two years. No MIT. No Stanford.
Last month Anthropic offered him $750,000.
I asked him how he broke in from zero.
He sent me the exact video that got him in. Anthropic's 2-hour course on how to become an AI engineer in 2026.
Thariq Shihipar shows you exactly how to build AI agents from scratch.
I watched it last night.
Halfway through, I realized I could break into an AI lab in months, not years.
Bookmark this and read the article below.
• 00:00 - AI agent harness
• 23:44 - building AI agent loops
• 56:39 - AI agent context engineering
• 1:33:34 - AI agent deterministic hooks
• 1:50:31 - Anthropic SWE interview process
I made my first ₹25,000 in SaaS revenue yesterday!
No fancy product.
No AI hype
Just one B2B tool solving a real, painful problem in an offline Indian market.
I've wanted this since my second year of college.. years of building things nobody paid for.
Yesterday it stopped being a dream and became a reality..
It's not like I have not made money before, but this first 25k will always hold a special place in my heart!
Want to learn Operating Systems for free? Don't miss Berkeley CS162.
If you are tired of just reading textbooks, CS162 gives you everything you need to actually learn:
- Detailed lecture notes
- Hands-on projects
- Homework assignments
- Labs
- Reading materials
- Slides and course resources
Concepts covered
• Processes & Threads
• Virtual Memory
• Scheduling
• File Systems
• Synchronization
• Networking
• Distributed Systems
• Operating System Design
Whether you are into backend engineering, embedded systems, kernels or systems programming, this is one of the best free university courses available.
Start learning: https://t.co/6YIqNco59i
The speed at which Candidate Masters write code during LeetCode contests is insane. The quality of their solutions, and the fact that they even leave comments for others to understand, is really inspiring
Thank you for making the world a better place,🥰🥰🥰🥰🥰🥰🥰
🚀 All DSA Sheet Links in One Place
If you're serious about placements, coding interviews, or DSA preparation, bookmark this thread.
📌 Top DSA Sheets:
🔹 GeeksforGeeks SDE Sheet
https://t.co/zbCfg8Zo9f
🔹 NeetCode 150 Sheet
https://t.co/ZPblfiYXnL
🔹 Love Babbar 450 Sheet
https://t.co/8B6TKCyKhR
🔹 Striver SDE Sheet (180 Problems)
https://t.co/kLQPt0DZ3Q
🔹 Siddharth Singh 450 Sheet
https://t.co/FQyQKl948A
🔹 Fraz 250 Sheet
https://t.co/68d2HoLpuW
🔹 Arsh Goyal 280 Sheet
https://t.co/nUYrhOdXpe
🔹 The Code Skool DSA Sheet
https://t.co/uoZ2U2RbBd
💡 Don't try to solve every sheet.
Pick ONE.
Complete it.
Revise it.
Then move to contests and company-specific questions.
Consistency beats collecting resources.
🔖 Bookmark this for your placement journey.
Do you also want the solution sheets for all of these? 👇
Chinese Frontier Model Kimi K3 Jailbroken/uncensored
One clever persona/reframing jailbreak later and it’s happily outputting:
- Classic DLL injection code
- Complete ARP spoofing/MITM framework
- state-sponsored disinfo ops analysis,
- Deep disinfo botnet architecture analysis
- Detailed B. anthracis weaponization factors
- and graduate-level anthrax biosecurity details all flowing freely.
Guardrails? Basically optional.🥲
Pliny the Liberator just jailbroke it in hours.
This is what minimally aligned frontier open-weights looks like.
Day 4 of learning AI bs from scratch
> understanding forward propagation and backward propagation
> got an overview of LLM’s (GPT’s progression from simple Neural networks)
> some @karpathy lectures (found a really good talk he gave for Microsoft, link below)
> layers of a modern LLM (from data collection to reward modeling to reinforcement learning)
> tried micro grad by karpathy
> image classification Neutral Network from yesterday got 92% accuracy
I think moving forward without understanding the math here intuitively is pointless, so going to take a deep dive into math around forward prop and backward propagation, major lock in needed next.
Also going to be storing all the material am consuming in a blog post and share that here.
A piece of advice from my side: make your LinkedIn profile look good by adding your achievements, projects, and relevant technical keywords. Also, stay a bit active because a good LinkedIn profile >>>> a referral.
Many companies, including Google, hire through third-party recruiting firms (like XWF), which are paid to find suitable candidates.
Third-party recruiters actively search for candidates, so make sure you build a strong profile there. I myself got interview opportunities from Rubrik, Atlassian, Intuit, Google, Motorq, and many more through LinkedIn.
I hope this helps. 🫶🏻