Shivam

Finance & Risk Professional | Somewhere on this blue dot

[Shivam @ZeroCool_trd]

@deepakshenoy

[Dhaval (Investment Books) @InvestmentBook1]

Amazon kept showing losses for a long time. But this company never raised any fresh equity capital.

How can you lose money and still not need money to stay alive?

Answer: CASHFLOW

Book: Moneywisw by Deepak Shenoy

[Abinash @Abinash4ppl]

Day2: No action & No Change

[Abinash @Abinash4ppl]

@NaMo4PM @PCMohanMP below video is of Dinne Anjaneya Swami Temple Road part of 4time BJP constituency in Haralur,Mahadevpura,Bangalore.

[Capitalmind Mutual Fund @CapitalmindMF]

Happy Independence Day 🇮🇳

[Shivam @ZeroCool_trd]

@sabir_huss50540 Send

[Shivam @ZeroCool_trd]

@AIHighlight Claude

[Shivam @ZeroCool_trd]

@CodeswithClara Send

[Trung Phan @TrungTPhan]

Last year, Claude worked with Norway’s ~$2T sovereign wealth to create a Financial Analysis tool plugged into real-time data (Factset, Morningstar, Pitchbook, Palantir, S&P).

Fund’s CEO said it led to ~20% (or 213,00 work hours) productivity gains by “automating monitoring of newsflow for 9,000 companies to enabling more efficient voting.”

[Rohan Paul @rohanpaul_ai]

Goldman Sachs is rolling out Anthropic’s AI model to automate accounting and compliance roles completely.

Anthropic engineers have been embedded at Goldman for 6 months, co-developing systems that act like “digital co-workers” for high-volume, process-heavy tasks.

The new setup uses an LLM-based agent that can read large bundles of trade records and policy text, then follow step-by-step rules to decide what to do, what to flag, and what to route for approval.

Goldman says the surprise was that Claude’s capability was not limited to coding, and that the same reasoning style worked for rules-based accounting and compliance work that mixes text, tables, and exceptions.

The bank expects shorter cycle times for client vetting and fewer lingering breaks in trade reconciliation, and slower headcount growth rather than immediate layoffs.

---

cnbc .com/2026/02/06/anthropic-goldman-sachs-ai-model-accounting.html

[ℏεsam @Hesamation]

this is hands-down the best AI engineering channel to follow right now. there is so many videos presented by top researchers and engineers from the biggest companies on the most recent and up-to-date topics you must know. @aiDotEngineer is dominating youtube right now.

[Shivam @ZeroCool_trd]

@uptickr

[rohit @krishnanrohit]

Guess who's vibe coding in 2026 ... Linus Torvalds, using Google's Antigravity. It's over.

[Lee Robinson @leerob]

It's 2026. AI writes most of my code. Now what?

[Shivam @ZeroCool_trd]

@alex_prompter gemini

[Capitalmind Mutual Fund @CapitalmindMF]

We’re excited to announce the upcoming launch of the Capitalmind Liquid Fund, designed for liquidity, stability, and efficient cash management.
The NFO period is 18th – 21st November 2025. More updates on the fund are on the way.

Mutual Fund investments are subject to market risks, read all scheme related documents carefully.

[Shivam @ZeroCool_trd]

@CalmInvestor Thanks for sharing. An eye-opener indeed

[Mind Muscle Project @mindmusclepro]

Know your Protein source

Here we have the Carbs: Fats: Protein distribution of common Protein sources per 100g (Calorie wise)

👉 Nuts are the most Calorie dense & offer least Protein per Calorie- Worst choice for Fat loss

👉 Whey & Pea Protein being Supplements offer highest Protein content.

👉 Meat, Fish, Chicken, Prawns, Cheese, Paneer, Eggs offer most Protein per least amount of Carbohydrates - Best choice for Low Carb/Keto diet

👉 Chicken, Low Fat Paneer, Low Fat Greek Yoghurt & Prawns have the highest Protein content per Calorie among food sources- Best choice for Fat loss

👉 Sprouted Moong, Peas, Low Fat Greek Yoghurt, Low Fat Paneer, Prawns, Tofu - Best choices for Low Fat diet

👉 Quinoa, Dal doesn’t even cut it as good Protein sources. Chickpea is inferior as well.

👉 Tempeh is the most balanced with the best distribution among Fats, Carbs & Protein. It can fit into any diet pretty comfortably.

[R. Balakrishnan @BalakrishnanR]

Some old borrowed thoughts on trading and investments
https://t.co/tHaCzddMMf

[Matt Dancho (Business Science) @mdancho84]

Understanding probability is essential in data science.

In 4 minutes, I'll demolish your confusion.

Let's go!

[Michael Pyrcz🌻 @GeostatsGuy]

🎲 Monte Carlo Simulation (MCS) is one of the most powerful and versatile tools in #statistics developed over the past century.

When I introduce MCS to my students, we all launch my interactive #Python dashboard using @matplotlib and we walk-through examples of adding and multiplying random variables → doing math with distributions! 📊➕✖️

You can explore the interactive notebook on my #GitHub repo:

🔗 https://t.co/fG715Je6lW ∀.

#MonteCarlo #DataScience #Statistics #Python #InteractiveLearning #TeachingWithPython

[Satya Nadella @satyanadella]

It’s been a few weeks since we brought GPT-5 to Microsoft 365 Copilot, and it’s quickly become part of my everyday workflow, adding a new layer of intelligence spanning all my apps.

Here are 5 prompts that show what’s now possible: