water estek

[Fathers Diary @Fathers_Diary]

Lock in for 6 months, watch your life change completely.

[Garvit Taneja @tanejagarvit_]

1/6: Many people ask me in DMs what YC startups actually ask in interviews
I've given a lot of these startup interviews now, even worked with a YC startups myself, so let me tell you what I've actually seen:

[Gaurav Sen @gkcs_]

If your RAG pipeline is inaccurate, what should you do?

This is a real interview question from a big tech company.

The video explains the answer in ~7 minutes.

00:00 How to improve a RAG pipeline?
00:30 Diagnosing retrieval problems
03:20 Where vector similarity falls short
05:56 Latency, cost, and accuracy trade-offs
06:45 Bloopers

Want your interview questions answered? Post them here: https://t.co/s1KP41qi0s

AI engineering program for software engineers: https://t.co/lsqvTnoxvE

#LLMs #AI #InterviewReady

[Vala Afshar @ValaAfshar]

Time will magnify whatever you feed it - the biggest influence in life is habit. —James Clear

[B O B B Y | 👨‍✈️ @bobbthetrader]

Trading forces you to be a better human.

[JeRRy MMXM @JeRRyMMXM]

Jim Rohn asks the important question:

“Why not you?”

[water estek @WaterEstek]

@roopakdev28 RAG systems are more reliable I feel, FineTuning LLM depends on the dataset and can have more detrimental issues in it.

[water estek @WaterEstek]

@roopakdev28 True Agreed

[water estek @WaterEstek]

@___Nadaaa is that wework office space ?

[water estek @WaterEstek]

@roopakdev28 Prolly watch X everyday😂😂

[INHERITANCE @ImperialAssets7]

She literally explained the psychology behind why you're not consistent.

[Hussain Ibarra @HussainIbarra]

POV: You realize bro just dropped the secrets to becoming hyper successful in life:

[Maria Gorskikh @mariagorskikh]

YC really does a great job of making the few workshops they do stick.

[Tim Denning @Tim_Denning]

This advice from Jim Rohn should have 200M views.

[water estek @WaterEstek]

@roopakdev28 Hearing a lot about Inference Engineering these days.

[AI_Explorer @ai_explorer25]

15 AI Research Voices on X

@amaarora= AI papers explained through code.
@cwolferesearch= Clear, in-depth LLM research breakdowns.
@sedielem= Diffusion models explained deeply.
@MaartenGr= Complex AI made visual.
@seb_ruder= NLP and multilingual AI insights.
@Tim_Dettmers= Quantization and efficient LLMs demystified.
@arankomatsuzaki= Research papers distilled into takeaways.
@srush_nlp= Transformers explained with hands-on code.
@ai_explorer25= New AI tools, peoples and ai commentary
@rasbt= LLM research translated into practical code.
@natolambert= RLHF and post-training unpacked.
@eugeneyan= AI research meets real-world systems.
@sh_reya= AI evaluation beyond benchmark scores.
@HamelHusain= Practical, no-nonsense AI evaluation.
@ch402= Neural networks decoded from within.

[JeRRy MMXM @JeRRyMMXM]

The video I watched every morning At 7 AM for 7 months.

[Sanskriti Naruka @snskritinaruka]

Met a guy who got a $750,000 offer from Anthropic

I asked him how he broke into AI so fast

He sent me the exact video that got him in. Andrej Karpathy's 3.5 hour deep dive into LLMs

You won't find anything better about how LLMs work than this video

I watched it last night

Halfway through, I realized I have been using AI completely wrong for years

Bookmark this.

[water estek @WaterEstek]

@roopakdev28 Yes

[Puneet Patwari @system_monarch]

AI engineering interview in 2026.

How many of these can you explain clearly:

KV cache
Prompt caching
Semantic caching
Speculative decoding
Context window vs effective context
Hybrid search (BM25 + vectors)
Reranking
Structured outputs
Tool calling
LLM-as-a-judge
Eval sets
Guardrails
Prompt injection
Token budgets
Model routing

If it's less than 8, you're not ready.

If it's 15, you're probably the one taking the interview.