Himanshu

i write weird stuff on the screen and weirder stuff happens

[Himanshu @whimahima]

creating shareholder value is picking the correct cat emoji reaction for the posts on the slack cats channel

[Rockstar Games @RockstarGames]

Hi everyone,

Grand Theft Auto VI will now release on Thursday, November 19, 2026.

We are sorry for adding additional time to what we realize has been a long wait, but these extra months will allow us to finish the game with the level of polish you have come to expect and deserve.

[Himanshu @whimahima]

@xcarnn salary aa gayi kya?

[Himanshu @whimahima]

@xcarnn lowkey surprised

[Himanshu @whimahima]

@prabhas2702 @xcarnn @golu_molu_bacha

[Himanshu @whimahima]

the stephen hawking edits are insane 😭

[Himanshu @whimahima]

@Rakshit2622 if you’re not willing to find her, are you really even trying to find her?

[Himanshu @whimahima]

git push —force

[Abhinav @Abhinavstwt]

Never be afraid to make a mistake

Unless, it's in Git

Then be afraid

Be very afraid

[Himanshu @whimahima]

@xcarnn a 🍺 that follows the cursor

[Himanshu @whimahima]

@xcarnn @adityaxpatil they also added folders, similar to arc

[anshuman @athletic_coder]

She dumped me last night.

Not because I don't listen.
Not because I'm always on my phone.
Not even because I forgot our anniversary (twice).

But because,

in her exact words:

"You only pay attention to the parts of what I say that you think are important."

I stared at her for a moment and realized...

She just perfectly described the attention mechanism in transformers.

Turns out I wasn't being a bad boyfriend. I was being mathematically optimal.

See, in conversations (and transformers), you don't give equal weight to every word. Some words matter more for understanding context. Attention figures out exactly HOW important each word should be.

Here's the beautiful math:

Attention(Q, K, V) = softmax(QK^T / √d_k)V

Breaking it down:

Q (Query): "What am I looking for?"
K (Key): "What info is available?"
V (Value): "What is that info?"
d_k: Key dimension (for scaling)

Think library analogy:

You have a question (Query). Books have titles (Keys) and content (Values). Attention finds which books are most relevant.

Step-by-step with "The cat sat on the mat":

Step 1: Create Q, K, VEach word → three vectors via learned matrices W_Q, W_K, W_V
For "cat":

Query: "What should I attend to when processing 'cat'?"
Key: "I am 'cat'"
Value: "Here's cat info"

Step 2: Calculate scoresQK^T = how much each word should attend to others

Processing "sat"? High similarity with "cat" (cats sit) and "mat" (where sitting happens).

Step 3: Scale by √d_kPrevents dot products from getting too large, keeps softmax balanced.

Step 4: SoftmaxConverts scores to probabilities:

"cat": 0.4 (subject)
"sat": 0.3 (action)
"mat": 0.2 (location)
"on": 0.1 (preposition)
"the": 0.1 (article)

Step 5: Weight valuesMultiply each word's value by attention weight, sum up. Now "sat" knows it's most related to "cat" and "mat".

Multi-Head Magic:Transformers do this multiple times in parallel:

Head 1: Subject-verb relationships
Head 2: Spatial ("on", "in", "under")
Head 3: Temporal ("before", "after")
Head 4: Semantic similarity

Each head learns different relationship types.

Why This Changed Everything:

Before: RNNs = reading with flashlight (one word at a time, forget the beginning)

After: Attention = floodlights on entire sentence with dimmer switches
This is why ChatGPT can:

Remember 50 messages ago

Know "it" refers to something specific
Understand "bank" = money vs river based on context
The Kicker:Models learn these patterns from data alone. Nobody programmed grammar rules. It figured out language structure just by predicting next words.
Attention is how AI learned to read between the lines.

Just like my therapist helped me understand my focus patterns, maybe understanding transformers helps us see how we decide what matters.

Now if only I could implement multi-head attention in dating... 🤖

Still waiting for "scaled dot-product listening" to be invented.

[Himanshu @whimahima]

@xcarnn nascar movie is better than f1 movie

checkmate f1 fans 🙏🏼

[Himanshu @whimahima]

@natrunyx tu mere saamne baitha hai bhai

[Himanshu @whimahima]

“im not romantic but i like the idea of love”

just got berated for not using sophisticated phrasing 😭

[Himanshu @whimahima]

@natrunyx abe bhadwe 😭

[Himanshu @whimahima]

childhood hero ngl

[ᴅᴀɴᴛᴅᴍ💎 @dantdm]

13 Years ✌🏻

[Himanshu @whimahima]

@AdithyaChittem what’re you talking about

[Himanshu @whimahima]

@sidsaysstuff drunk