RobNotRealName

[Ben Horne @benjamin_horne]

This developing story about Dario's failed communications with the White House confirms everything I've ever believed about the enormous power of the Sales Chad.

You can be the smartest, most hard working, well-meaning guy around, but if you can't get people to like you, it's all for nothing.

When the time comes to send one of your own to meet inside the Halls of Power, you don't send the Geek Squad. You must send the affable, beer-drinking, golf-loving Sales Chad.

It literally doesn't matter if he understands the product half as well as everyone else. You send him. It's what he was put on Earth to do.

[Grug 🪨 @grugcapital]

I’d rather hangout with a NYC nepo baby with a trust fund or go fishing with a redneck who rants about how the moon landing was fake than mingle with SF striver types. One of the most insufferable groups of people on earth.

[DR22 Ω 🪬🎭 @DejaRu22]

Omg! 😆 mathematics?! At a party??? 😳🤯 Woah. You guys are supposed to be getting drunk and dancing! That is SO random and quirky 🤣🩷 it seems like no matter the environment… you guys are always focused on the smart things!!

[Yann LeCun @ylecun]

@SebastienBubeck Hoisted by their own GPTards

[kyroniz @KyronizInExile]

@Angaisb_ Wow good to know which one is better at fucking useless bullshit that nobody ever needs to do

[anshuman @athleticKoder]

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.

[Zy @ZyMazza]

You have no idea how degenerate and hedonistic things are about to get. For all of time the floodwaters of human sin and debauchery have just barely been kept at bay by the harsh consequences of our indulgence on the ones we love.

Given a simulacra and the chance to “sin without sinning” we will plunge into depths that would make the average denizen of Gemmorah blush.

These harmless indulgences and victimless crimes will poison our minds beyond repair. We will plunge deeper into the depths of our own fantasies; the most shocking taboos simulated in vivid detail will become casual acts of simple diversion on a Wednesday afternoon.

And on Thursday morning we’ll carry a little bit of ourselves out from the fantasy and into reality. Bit by bit reality becomes rewritten into our fantasies until the people cry out, “enough! We are poisoned!”

The perverse pleasure of breaking the taboo will fade once the taboo vanishes in a society where everything is permitted. People will begin to realize it was never forbidden because they wanted it; they wanted it because it was forbidden.

In the harsh light of day, left with nothing but the consequences of their overwhelming darkness manifested, they will recoil from their own pleasure, and the pendulum will reach its zenith and begin its long swing back towards dignity and decorum.

By then, we can only hope it’s not too late. That the decedent values of casual deception, cruelty, and dishonor justified only by their ability to produce an orgasm haven’t already been immutably written into a cold machine god or an undying race of no-longer-human humanoids.

In other words: lock in or you’re gonna get cooked.

[Mykhaïlo Golub @golub]

That awkward moment Peter Thiel realized he might be the very Antichrist he warned about

[ksa 🏴‍☠️ @kosa12m]

DUDE JUST STUDY COMPUTER SCIENCE AND LEARN ALL KNOWN ALGORITHMS IN EXISTENCE AND ALL DATA STRUCTURES REGARDLESS OF HOW OBSCURE THEY ARE JUST LEARN CALCULUS I II III IIII AND LINEAR ALGEBRA I II III AND ALL OF STATISTICS AND TOPOLOGY AND ABSTRACT ALGEBRA AND NUMBER THEORY AND CRYPTOGRAPHY AND DYNAMIC SYSTEMS AND ALL OPTIMIZATION TECHNIQUES AND THEN ALL PROGRAMMING PARADIGMS ALL AT THE SAME TIME BRO IT'S EASY THEN LEARN CONCURRENT PROGRAMMING DISTRIBUTED COMPUTING THEORY OF COMPUTATION COMPILERS OPERATING SYSTEMS THEN GRAPHS GRAPHICS AND GRAPHIXXX BRO JUST LEARN A BIT OF ARTIFICIAL INTELLIGENCE AND SIMULATIONS HAHA. WHAT, ACTUAL TOOLS FOR A JOB? YOU CAN LEARN THAT ON THE SIDE DAWG JUST LEARN .NET CORE POSTGRES SQLSERVER MYSQL SQLTHIS SQLTHAT MONGODB NOSQL(HAHA) SPRING BOOT ANGULAR REACT VUE ASTRO SOLID QWIK SVELTE NEST.JS EXPRESS.JS KOA.JS NODE.JS JSP JAVASCRIPT ES5 ES6 ES7 C C++ C# F# D HASKELL SCALA ADA ELIXIR RUBY AND RUBY ON RAILS CLOJURE JAVA 7 JAVA 8 JAVA 11 JAVA 18 JAVA 19 JAVA 20 JAVA 21 (IM LOOOOOMING) GO RUST BASH PYTHON DOCKER KUBERNETES AWS OCI GCP AZURE I MEAN JUST MIX IT ALL UP AND MAKE YOUR PRETTY PORTIFOLIO WITH YOUR MACHINE LEARNING PET PROJECTS JUST INTERN AT FAGMAN DAWG IT'S EASY HAHA JUST DO ALL THAT WHILE WORKING TWO SHIFTS AT MCDONALDS BECAUSE YOUR PARENTS KICKED YOU OUT OF THE HOUSE AT 18 YO I MEAN BRO IT'S ALRIGHT AFTER THAT YOU CAN JUST WAGESLAVE FOR 55 YEARS IN THE CODE MINES DEALING WITH OFFICE POLITICS AND THEN YOU CAN INVEST ALL THE AFTER

[flux @fluxtheorist]

Every single person here: the person at the door, the people waiting, and the people you see in the back, are all attempting to heal some weird high school trauma where they were not the popular kid

And it’s extremely fucking weird

[Mac Lane’s Strongest Soldier @1969itS]

> new quirky private school with revolutionary teaching style and good test results
> ask if it's pedagogy or selection
> they look confused
> send detailed diagram explaining which schools are pedagogy and which schools are selection
> "it's a good school sir"
> it's selection

[Kurrco @Kurrco]

Ken Carson performed ‘Yale’ at Yale University tonight 😭🔥 https://t.co/TtSdNASDbZ

[carmen @carmguti]

brutal

[. @playboicarti]

FRIDAY

[George Mack @george__mack]

My most contrarian belief:

We could increase the global economy by 2-3% by installing large whiteboards in every home.

[Louis Mille @WaleML]

@DavidOndrej1 Feels like going from minecraft 1.5.3 to 1.7.5 to 1.8 🤯

[James Campbell @jam3scampbell]

one of the surprising things of going to an ivy league is the sheer number of ppl who had 1550 SAT but uncritically follow the path laid by their parents

technical ability is totally orthogonal to agency

[𝓛𝓾𝓱𝓪𝓮𝓷𝓽𝓮𝓷 @luhaenten]

"How much protein is this?" "Does it have enough protein?" Shut up. How much love is in your heart? Do you have enough love? Enough tenderness?

[Lee Fang @lhfang]

Over the next decade Silicon Valley will replace blue and white collar workers w/ AI and outsource more jobs overseas. Truckers, designers, engineers, lawyers, and far more. Power will flow to the dozen tech overlords standing next to Trump at his inauguration. Ominous optics.

[lilia misses bts @lockharthv]

"i wanna learn french it's such a beautiful language"