Sachin Nahar

[Igor Buinevici @Igor_Buinevici]

AI is simpler than most people believe.

Many get confused simply because of a bad explanation:

Here are 12 key AI terms you need to know:

Sharing this great compilation by Luís Rodrigues:

1. LLM (Large Language Model)

Massive neural networks trained on vast text data to generate human-like responses.

Powering tools like ChatGPT, Claude, Gemini, GitHub Copilot.

2. Transformers

Core architecture behind modern AI systems using attention mechanisms.

Helps models understand meaning based on context between words

3. Prompt Engineering

The process of structuring instructions to get better outputs from AI systems.

It turns vague AI interactions into reliable, repeatable results.

4. Fine-tuning

Improving a general model using domain-specific data.

Transforms broad intelligence into focused expertise.

5. Embeddings

These convert words into numerical representations AI can understand.

They help AI recognise meaning, similarity, and context.

6. RAG (Retrieval Augmented Generation)

Combines model output with external data sources.

Improves accuracy and keeps responses up to date

7. Tokens

Small pieces of text AI processes instead of full sentences.

They are the basic units models use to read and generate language.

8. Hallucination

When AI generates false or made-up information confidently.

Human validation remains essential for reliability

9. AI Agents

Systems that can plan and execute multi-step tasks.

Reduce manual intervention across workflows.

10. Multimodality

AI’s ability to understand and generate different types of data.

It combines text, images, audio, video, and more in one system.

11. Context Window

Working memory of the model during interaction.

Defines how much information can be processed at once

12. AI Alignment

Ensuring models behave safely and as intended.

Still one of the hardest challenges in AI development.

Master AI skills and you will never become obsolete.
P.S. Which concept is new for you?

♻️ Repost for those who want to master AI.

[Elon Musk @elonmusk]

True

[Barrett Linburg @DallasAptGP]

Let's talk about what's going on in Texas

[Dan Go @CoachDanGo]

https://t.co/2Brk4CC1lK

[Sachin Nahar @snahar]

@pitdesi From there is An app for that to there is An AI for that.

[rvivek @rvivek]

10-minute delivery in India isn't magic. It's really good engineering.

@albinder and @letsblinkit built tech that most people never see.

We went deep on how it works.

[Keh Ke Peheno @coolfunnytshirt]

One of the most incredible shots in Tennis history! 🙏🏽

[Alex Lieberman @businessbarista]

11 observations interviewing 500+ engineers the last 9 months:

1) The new H1B visa thing is a big bummer. We have to say no to lots of qualified candidates because it's financially irresponsible for us to spend $100,000 extra to hire someone.

2) There are very few true full-stack engineers out there. Most applicants are 90% backend or 90% devops or 90% data eng with a splash of full-stack. Being a true five-tool hitter has never been more important.

3) The spread in compensation ranges is wild. I'll have one call with a Series C senior engineer making $600k/yr, then I'll have a second call with a SWEII at Microsoft making $175k/yr. Comp is all over the map and a moving target.

4) The biggest risk with big tech engineers is lack of experience building systems end-to-end. Technical depth may be really strong, but ability to own & system is iffy.

5) There are very few AI-native engineers. An AI-native engineer is someone that has completely rearchitected their personal workflows for building software. To be AI-native, your process should be >75% different than pre-AI.

6) There are very few AI engineers. An AI engineer is someone that has built and deployed production agentic systems (ideally at scale). Because the technology is so new, you either have to find a diamond in the rough or hire someone you think can learn fast.

7) Strong communication is rare as hell & when you find it, it's glorious. All of our engineers at @tenex_labs are client-facing, but outside of that strong communicators are usually strong thinkers and strong thinking has never been more important in engineering.

8) Testing an engineer's technical chops has never been harder. When everything is Claude Code-able, quickly understanding an engineers fundamental systems & engineering abilities is very hard. Someone will make a billion dollars solving this problem.

9) Great engineers under-estimate themselves. Mediocre engineers over-estimate themselves. I always ask the question: "If you had to rank yourself 0-10 as an engineer, what number would you pick & why?" The best engineers I've hired give themselves a 7.5/10 max.

10) Engineers are way more interested in being influencers/creators than I ever imagined. Part of the reason they're interested in joining us is they want to be the next @theo or @ThePrimeagen.

11) There are two types of engineers: those who view it as a job and those who view it as a craft. Those who view it as a craft are typically more entrepreneurial, are always cooking up a weekend side project, and view engineering as a core part of their identity.

[Matt Giannino @MarketMovesMatt]

https://t.co/FbtnqrGs30

[Interesting things @awkwardgoogle]

quite possibly the most amazing thing I've ever seen

[Karl Matt Button │ Apex Fitness Adv. @KarlApexFit]

10 years ago I herniated a disc in my back.

- Pain
- Sciatica
- Inability to train

But now I deadlift over 220kgs.

Here are the 4 Simple Exercises I used to get my back strong and pain free:

= Thread =

[Don’t Follow Shardi B If You Hate Money @ShardiB2]

This is a great strategy to get a mortgage at 4%. You need a brokerage account with 100k and you can borrow 50k for example. Or 1m and borrow 500k.

This way you keep your money in the market, instead of taking it out to buy a house and hopefully make more than the 4% by just being in the S&P.

Get an advisor to work with you on it or reach out to the firms mentioned, one is called Synthetic Fi I think.

[Sachin Nahar @snahar]

Happy New Year !!🎊

#HappyNewYear

[Sachin Nahar @snahar]

Loosing a friend in good health under 50 hits you hard.

Life is so fragile. Take good care of yourself & everyone around you & enjoy every moment.

[Sachin Nahar @snahar]

@RobinhoodApp Sure Why not.

[Elon Musk @elonmusk]

Move to Austin! It gets better very year.

So many cool, world-class people are moving to Austin from SF, LA, NY, London and many other parts of the world!

Austin++

[Sachin Nahar @snahar]

@DarrelFrater Sure.

[Sachin Nahar @snahar]

@arpitsinger PDF

[Sachin Nahar @snahar]

@pitdesi Happy Diwali 🪔 !!

[Sachin Nahar @snahar]

Happy Diwali 🪔 !!

#Diwali2025