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Kareem Carr, Statistics Person Profile picture
@kareem_carr
Aug 9, 2020 • 38 tweets • 15 min read • Read on X
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This thread documents a persistent pattern of harassment against me. It gets tiring after a while defending why I've been speaking out against the behavior of this individual so I decided to document what's been going on.
This account has 140k+ followers. I blocked it in June but it has been creating posts with screenshots of my tweets. This has caused hundreds of trolls over the last five weeks to enter my comment sections and to tweet at people I interact with. Often their insults are racial.
As you read these posts, please consider that each one caused massive numbers of angry followers to seek out my account and harass me.
June 26. 8:52pm
June 26. 10:53pm
July 13 9:45pm
July 30 5:58pm
July 30. 8:55pm
July 30. 8:56pm
July 30. 8:57pm
July 30. 11:00pm
Aug 1. 9:46pm
Aug 1 9:54pm
Aug 1 10:14pm
Aug 1 11:19pm
Aug 1 11:23pm
Aug 2 8:40am
Aug 2 2:17pm
Aug 2 6:58pm
Aug 2 7:10pm
Aug 2 10:36pm
Aug 4. 8:26pm
Aug 4. 11:21pm
Aug 5. 12:41pm
Aug 5. 1:49pm
Aug 7. 12:53pm
Aug 7. 6:46pm
Aug 7. 8:02pm
Aug 8. 9:08am
When speaking to me directly, the animosity is more clear than in the tweets to the account's timeline. Note, I have never returned any insults. I replied by stating my scientific credentials and making technical arguments.
"You can't be this stupid, which means you're completely dishonest."
"You're a shocking embarrassment, and it's my absolute pleasure to expose you."
"You're coming from bullshitting."
"Tick-tock, dumbass"
People who express support for me are not safe either.

• • •

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More from @kareem_carr

Kareem Carr, Statistics Person Profile picture
Jun 5
You may have heard hallucinations are a big problem in AI, that they make stuff up that sounds very convincing, but isn't real.

Hallucinations aren't the real issue. The real issue is Exact vs Approximate, and it's a much, much bigger problem. Image
When you fit a curve to data, you have choices.

You can force it to pass through every point, or you can approximate the overall shape of the points without hitting any single point exactly.
When it comes to AI, there's a similar choice.

These models are built to match the shape of language. In any given context, the model can either produce exactly the text it was trained on, or it can produce text that's close but not identical
Read 10 tweets
Kareem Carr, Statistics Person Profile picture
Jun 2
I’m deeply skeptical of the AI hype because I’ve seen this all before. I’ve watched Silicon Valley chase the dream of easy money from data over and over again, and they always hit a wall.

Story time.
First it was big data. The claim was that if you just piled up enough data, the answers would be so obvious that even the dumbest algorithm or biggest idiot could see them.

Models were an afterthought. People laughed at you if you said the details mattered.
Unsurprisingly, it didn't work out.

Next came data scientists. The idea was simple: hire smart science PhDs, point them at your pile of data, wait for the monetizable insights to roll in.
Read 13 tweets
Kareem Carr, Statistics Person Profile picture
Jun 1
As a statistician, this is extremely alarming. I’ve spent years thinking about the ethical principles that guide data analysis. Here are a few that feel most urgent: Image
RESPECT AUTONOMY

Collect data only with meaningful consent. People deserve control over how their information is used.

Example: If you're studying mobile app behavior, don’t log GPS location unless users explicitly opt in and understand the implications.
DO NO HARM

Anticipate and prevent harm, including breaches of privacy and stigmatization.

Example: If 100% of a small town tests positive for HIV, reporting that stat would violate privacy. Aggregating to the county level protects individuals while keeping the data useful.
Read 9 tweets
Kareem Carr, Statistics Person Profile picture
May 8
The kids using ChatGPT to cheat are massively fumbling the ball.

I would give almost anything to experience learning something like calculus for the first time with an AI assistant.
I have wasted an ungodly amount of time on poorly written math textbooks.

Confusing notation. Poorly worded statements that I puzzled over for hours. Typos that had me questioning my sanity for days.
These kids won't ever have to go through that.

They'll take a picture of the page, ask ChatGPT what it means, and instantly get an explanation tailored to exactly their level.
Read 7 tweets
Kareem Carr, Statistics Person Profile picture
May 7
Hot take: Students using chatgpt to cheat are just following the system’s logic to its natural conclusion, a system that treats learning as a series of hoops to jump through, not a path to becoming more fully oneself.
The tragedy is that teachers and students actually want the same thing, for the student to grow in capability and agency, but school pits them against each other, turning learning into compliance and grading into surveillance.
Properly understood, passing up a real chance to learn is like skipping out on great sex or premium ice cream. One could but why would one want to?
Read 6 tweets
Kareem Carr, Statistics Person Profile picture
Apr 25
If you think about how statistics works it’s extremely obvious why a model built on purely statistical patterns would “hallucinate”. Explanation in next tweet. Image
Very simply, statistics is about taking two points you know exist and drawing a line between them, basically completing patterns.

Sometimes that middle point is something that exists in the physical world, sometimes it’s something that could potentially exist, but doesn’t. Image
Imagine an algorithm that could predict what a couple’s kids might look like. How’s the algorithm supposed to know if one of those kids it predicted actually exists or not?

The child’s existence has no logical relationship to the genomics data the algorithm has available.
Read 4 tweets

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