Avani Rajput

How did we evolve to have more and more psychological fears, while living in a society that has more conveniences than ever before @avanirajput/note/p-189205848?utm_source=notes-share-action&r=5rofm" target="_blank" rel="nofollow noopener">substack.com/@avanirajput/n…

Ever since @TataCompanies has taken over @airindia, this is my go to airline. The promptness of communication, the skilled and amicable staff, clean aircraft with small touches of premium feels on the vistara aircrafts makes them unparalleled as compared to the other airlines in India!

@StockCrops @MoralFitnezz It's crucial to critically assess financial advice and tools available to the public.

@avanirajput1 @MoralFitnezz Great message to stay disciplined and save your money. I want to add, however, that certain financial experts, not many, have access to tools and derivatives that we don’t. The truth I found was that most financial instruments directed towards the public are no good.

Seven years ago, I started managing not just my own money but also my parent’s savings. I had no roadmap, just curiosity, discipline, and a willingness to learn. I remember the first time I made a mistake in the markets; it stung, but it taught me more than any book ever could. What I discovered is simple but powerful: wealth isn’t about luck. It’s about consistency, strategy, and understanding the tools at your disposal. Markets, real estate, crypto, and they all reward those who plan, experiment, and stay disciplined. Here’s what helped me consistently grow 17%+ per year: → Track your money religiously; know every inflow and outflow → Invest in what you understand, and learn fast when you don’t → Diversify intelligently, spread risk across markets, assets, and strategies → Treat mistakes as experiments, not failures What’s one financial habit you wish you’d started earlier?

@Sairamkrishnan6 Diversifying investments is key to long-term success.

@avanirajput1 Financial habits should start at early age investing in mutual funds, gold bonds real estate and more so that you create a huge wealth

After years in enterprise sales and tech strategy, I noticed a pattern: The corporate world often rewards: → compliance over creativity → caution over risk → status quo over impact That’s why so many high performers feel stuck, frustrated, or underutilized. But here’s the truth: your career, wealth, and freedom don’t grow because you follow rules. They grow when you: → take calculated risks → embrace new technologies like AI → focus on your own growth Here’s how I approach growth every single day: • Learn relentlessly: read, experiment, test new ideas. • Prioritize impact: pick projects that challenge you and move the needle. • Invest in yourself: time, knowledge, and tools give the best ROI. • Build visibility: share learnings openly to grow credibility. • Embrace discomfort: growth always starts outside your comfort zone. Now I’ll leave you with a question: What’s one “small risk” you’ve been avoiding that could actually change your trajectory?

@bearlyai Zuck’s approach highlights that building LLMs is as much about orchestration and clarity as it is about raw talent.

Zuck on his massive AI researcher deals. Unlike other Meta software roles, he says building LLMs is like a “group science project” and best to have “the smallest group of people who can fit the whole thing in their head at once.” So, the investment for each hire can be huge.

@davidasinclair Five years ago, this would have sounded like sci-fi. Now, AI-guided discovery is becoming a reality, exciting times!

Only 5 years ago, I couldn’t imagine starting a paper with: “Scientific discovery has long relied on human creativity. Here we report an AI-guided system that delivers robust scientific discoveries.” Yet we just did. What a time to be alive!

@RayDalio Interesting perspective, future AI-driven efficiencies may be huge, but the link to profits isn’t guaranteed. Portfolio strategies should reflect that uncertainty.

The reality is that AI is so revolutionary and so disruptive that it’s very hard to say for sure whether superscalers are currently priced accurately in the markets. But what will be even more impactful and is not adequately priced in is the effect AI is going to have on applications of it on company earnings, efficiencies, and the like. I’m often asked whether these future productivity improvements will convert to the profits and incomes needed to service the debt well. I’ve done the calculations, measuring it against other productivity miracles, and I think it’s very unlikely — though of course, I could be wrong. As an investor, if you think that will happen, I suggest that you skew your portfolio accordingly. @masterinvestor @WilfredFrost

@xfreeze Finally, an AI that anticipates what’s important and delivers actionable insights without multiple follow-ups.

One of the best things about Grok: it delivers all the info you need, right when you ask While most AIs stick to one-liners or half-baked response, Grok goes deeper. It gives you the extra context, step-by-step clarity, and critical info you might otherwise miss Grok is built different, It does what the true AI assistant should do This actually saves time, without needing to go through additional 5 prompts and anticipates what’s truly important You can always just jump to the conclusion part if your looking for direct answer You also get fresh viewpoints that are quite helpful and essential

@bindureddy This policy risks weakening US tech leadership by making it prohibitively expensive for top talent to stay after graduating.

US TECH DOMINANCE TAKES A MASSIVE HIT Imposing a $100K H1-B fee per year will kill skilled US immigration to America. This fee will also be applied to immigrants graduating from US universities and seeking jobs. This will have a domino effect, causing the US to lose it's tech dominance to India and China TIME TO PANIC

@rohanpaul_ai Trading-R1 shows that domain-specific fine-tuning + disciplined output formatting can bridge the gap between readable analysis and actionable financial insights.

LLM for financial trading/decision making. A 4B model financial-domain model, Trading-R1, that writes clear analyst theses and turns them into trades. Its trained on 100K cases over 18 months across 14 tickers, and its backtests show better risk-adjusted returns with smaller drawdowns. The problem it tackles is simple, quant models are hard to read, and general LLMs write nice text that does not translate into disciplined trades. The solution starts by forcing a strict thesis format, with separate sections for market data, fundamentals, and sentiment, and every claim must point to evidence from the given context. Then it learns decisions by mapping outcomes into 5 labels, strong buy, buy, hold, sell, strong sell, using returns that are normalized by volatility over several horizons. For training, it first copies high-quality reasoning distilled from stronger black-box models using supervised fine-tuning, then it improves with a reinforcement method called group relative policy optimization. In held-out tests on NVDA, AAPL, AMZN, META, MSFT, and SPY, the combined approach beats small and large baselines on Sharpe and max drawdown, and the authors position it as research support, not high-frequency automation. 🧵 Read on 👇

@nearcyan Insane!

Alibaba's character swap via Wan2.2-Animate very impressive *and* free and open-source..

@azed_ai These are insanely beautiful!

Prompt share: Glass sculpture 💬Prompt: Glass sculpture of a [subject], crafted with translucent layers in [color1] and [color2], softly lit from below, refracted highlights and subtle internal glow, placed on a black velvet pedestal, minimal background, elegant and futuristic studio aesthetic. Check ATLs for inspiration ✨

@gregisenberg Brilliant example of turning publicly available data into actionable local insights

i just watched a guy scrape google maps with an ai agent and show EXACTLY which boring businesses can make you stupid money in your local area not HVAC or plumbing...the local startup ideas NOBODY talks about how it works (save this) 1/ a workflow that finds overlooked local niches like garage organizers and irrigation systems through google map's treasure chest of data 2/ an agent that measures demand by tracking review volume and velocity in google maps 3/ a system that turns customer complaints into newsletter content automatically 4/ a workflow hosted on n8n for $7/month that runs nonstop and gets you concurrent workflows so dont hit a ceiling on workflows 5/ a directory that sells leads back to service providers for $100–200 each 6/ a process that scales to $20–30k/month with minimal overhead @boringmarketer shared every step on @startupideaspod and i thank him for sharing that sauce FOR FREE (people charge $10k+ for this sorta stuff) cool thing is he started a mobile diesel company in north carolina using this exact process that's making $30k/month so he knows it works what hit me is how obvious it felt. of course google maps has the gold just need AI to shovel it out.

@_Ellenor @LumaLabsAI RAY3 looks like a serious step toward true cinematic AI

Today @LumaLabsAI launched their new RAY3 model, capable of generating High Dynamic Range (HDR) videos natively. Thrilled to share that I’m now a creative partner with Luma. As part of that, I had early access to RAY3 and spent time pushing it to its limits. Here’s one of my test videos. I intentionally let certain shots run long to see how well fidelity and motion would hold up — and it’s impressive. This feels like the closest I’ve seen yet to true handheld camera movement. The potential here for high-motion, action-driven sequences is huge. #ray3

@amitisinvesting Aggressive spending signals that big tech sees superintelligence as a once-in-a-generation opportunity, not something to be cautious about.

MARK ZUCKERBERG: “We are going to spend aggressively. Even if we lose a couple hundred billion, it would suck, but it’s better than being behind the race for super intelligence.” To even hear Zucks say this…it shows how important they believe the opportunity is. Cap-ex is not slowing down. $META $NVDA

@iScienceLuvr If LLMs can consistently outperform VCs in founder selection, it could fundamentally shift how early-stage investments are evaluated.

This paper claims LLMs are better at selecting successful founders than VCs "We introduce VCBench, the first benchmark for predicting founder success in venture capital (VC)" "most models surpass human benchmarks"

@heyshrutimishra @benln Bookmarking this one. Musk’s strategies are as much mindset as mechanics.

How To Win By Elon Musk (Bookmark it)

@slow_developer It’s fascinating that human-like behavior may emerge from scale and memory alone, without new algorithms.

Microsoft AI CEO, Mustafa Suleyman: By the end of 2025, models will move from one-shot answers to continuous planning With persistent memory and long-horizon planning, models will become deeply human-like no new algorithm, mostly compute and scale