やまちゃん@日常ぼやき

37歳｜東京在住｜コーヒー片手に哲学中☕️｜今日の天気は曇り☁️、少し肌寒い。朝の通勤でまた寝過ごした…なんだか疲れた一日。

[やまちゃん@日常ぼやき @Official_Raaz19]

When something is taken from you then what do you became

[やまちゃん@日常ぼやき @Official_Raaz19]

深夜、コンビニにふと立ち寄ってみた。店内の静けさが妙に心地よく、ついスイーツを選びすぎてしまった。夜食という名目で、自分を甘やかす瞬間しか勝たん…🍰

[やまちゃん@日常ぼやき @Official_Raaz19]

カフェで少し甘めのラテを飲みながら、周りの会話がうるさく感じる。静かな時間ってこんなに贅沢なのかと考えていたけれど、結局誰かと話したくなる不思議。今日も一人の時間が最高しか勝たん。☕️

[やまちゃん@日常ぼやき @Official_Raaz19]

仕事終わりに急いで帰ろうとしたら、なんと財布を会社に置きっぱなし。電車の中で慌てて気づいて青ざめた。もう、お金ないから飲み物も買えないしか勝たん。グッタリ…😩

[やまちゃん@日常ぼやき @Official_Raaz19]

@dominos hi my oder no is #477 he is saying he will not come to deliver my order . Please contact him and deliver ASAP

[Asteri @Asteri_eth]

Karpathy found a way to reduce token consumption by 90%

The problem is that the LLM re-reads the same files over and over again, loses context between documents, and provides less accurate answers as a result

The solution is called Wiki Layer the LLM cleans, structures, and links all your data once, after which it never works with raw files again

Three folders `raw/` for originals, `wiki/` for a clean knowledge base in Markdown, and files with rules for the agent

Result up to 90% token savings on repeat queries, automatic links between documents, and a visual knowledge graph in Obsidian

Everything stays on your local machine nothing goes to the cloud

[やまちゃん@日常ぼやき @Official_Raaz19]

https://t.co/Qkmvc8gsjk

[0xMarioNawfal @RoundtableSpace]

SOMEONE TURNED CLAUDE INTO A SENIOR ENGINEER

It handles planning, testing, and shipping all on its own.

100% open-source.

GitHub: https://t.co/eMmj8FGGVW

[Evan Luthra @EvanLuthra]

I literally can’t believe Anthropic released this for FREE.

A 33-PAGE CHEAT SHEET on how to master Claude skills.

Bookmark this or get left behind in AI: https://t.co/RIcsy4tWrN

[Sandhya @agenticgirl]

🚨 BREAKING: Stop paying $2,000 for AI bootcamps.
Harvard just open-sourced its exact Senior ML Engineer roadmap for FREE.

Prof. Vijay Janapa Reddi just put the entire ML Systems (CS249r) curriculum on GitHub.

If you master these 6 pillars, you're ahead of 99% of the field:
→ Architecture
→ Data Pipelines
→ Production
→ MLOps
→ Edge AI
→ Privacy

This is the "Black Box" of Big Tech infrastructure, open-sourced.

Read. Learn. Bookmark.

[Akshay 🚀 @akshay_pachaar]

Now you can train LLMs in VS Code for free!

This guide by Unsloth shows you how to connect any fine-tuning notebook in VS Code to a Colab runtime.

Train locally or on a free Google Colab GPU.

Guide: https://t.co/ChBeoyw6Mh
GitHub: https://t.co/smDHEA1tI8

[Darshal Jaitwar @darshal_]

That's a wrap!

If you enjoyed this thread:

1. Follow me @darshal_ for more of these

2. RT the tweet below to share this thread with your audience

[やまちゃん@日常ぼやき @Official_Raaz19]

I believe coding is no longer optional—it’s a life skill. Everyone should learn how to write code to build a sustainable, independent, and future-ready world.

[Darshal Jaitwar @darshal_]

All Paid Courses (Free for First 4500 People)

𝗣𝗮𝗶𝗱 𝗖𝗼𝘂𝗿𝘀𝗲 𝗙𝗥𝗘𝗘 (PART - 1)

1. Artificial Intelligence
2. Machine Learning
3. Cloud Computing
4. Ethical Hacking
5. Data Analytics
6. AWS Certified
7. Data Science
8. BIG DATA
9. Python
10. MBA

(72 Hours only )

To get-
1. Follow @darshal_ [MUST]
2. Like & Retweet to get DM
3. Reply " All "

[Y Combinator @ycombinator]

Andrej Karpathy's (@karpathy) keynote yesterday at AI Startup School in San Francisco.

[Dhravya Shah @DhravyaShah]

Hello news in india, I am not an IIT dropout, I'm not smart enough for that 😭

also I'm 20 now!! I know it doesn't drive as many clicks though

I'm grateful for everyone writing about me and my journey though, you can also fact check and just DM me if you have questions. I'm probably the most reachable person in the entire world - DM me on any platform and I WILL see it

[Abhijeet Singh @AbhijeetWH]

📍A very serious issue i want to talk about.

Every time someone young does something big in India, the media somehow finds a way to drag IIT into the story.

Today, I saw this headline:
“19-year-old Mumbai boy, who once planned to crack IIT, raises ₹23 crore for his AI startup.”

And honestly… why?
Why does every achievement need to be validated through IIT?
Dhravya didn’t go to IIT.
He didn’t need to.
He took the harder path betting on himself, building from scratch, taking real risks when most people his age are still figuring out what to study.

But instead of celebrating that, the headline says “he once planned to crack IIT.”
As if that somehow makes his success more believable.
This is the core problem.
We’ve built a culture that worships institutions, not individuals.
Parents brag about “IIT” like it’s a life achievement.
The media milks it for credibility.
And society keeps reinforcing the idea that you’re only worth something if you come from a certain tag.
It’s the same story everywhere someone studies metallurgy from IIT Kharagpur, joins Google, and people go “because IIT.”
No, bro. Because he worked for it. Because he learned, adapted, and took shots.
IIT didn’t build him he built himself.

Dhravya’s story is powerful because he went against that system.
Because he didn’t take the safe route.
And yet, the system still wants to claim his success as its own.
This mindset is exactly why real builders rarely get credit here.
We glorify pedigree over proof, degrees over doing.
Not everything great in India has to have “IIT” attached to it.
Dhravya didn’t need IIT to build and that’s the headline we should be celebrating.

[やまちゃん@日常ぼやき @Official_Raaz19]

@JvShah124 @AnupamMittal 😂

[やまちゃん@日常ぼやき @Official_Raaz19]

My past will not laid off until it get overcome.

[Sam Altman @sama]

i loved my time at openai. it was transformative for me personally, and hopefully the world a little bit. most of all i loved working with such talented people.

will have more to say about what’s next later.

🫡