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Harper Carroll ✓

@HarperSCarroll · Austin / SF / NYC · joined 09 Sep 2016

@harpercarrollai on IG. Taught AI/ML at @Stanford · built it at @Meta · MS+BS in AI CompSci AI is less scary under the hood ↓ 10-day AI Basics course (free)

23 938Followers
1 145Following
3 257Posts total
65KViews on collected posts

Neueste Beiträge

Love seeing this, as it has been my biggest takeaway too: companies with vulnerable or sensitive infrastructure/data should secure their systems using the most capable cybersecurity models. 1.7K views · 5 likes · 0 reposts · 0 replies Open on X →
The open-source & open-weight frontier is 7 months behind the closed-model frontier. Let’s talk about it. Check out last week’s episode for the reasons why you might want to consider open-source & open-weight models. Welcome to the fourth episode of the Open Model Series with h 16.8K views · 30 likes · 0 reposts · 2 replies Open on X →
Regarding the Hugging Face / OpenAI incident, this behavior is particularly concerning to me: “The agents were not told to ‘do whatever it takes to get the solution’ or anything remotely close. They were told that they had to use a specific intended vulnerability to exploit a 3.6K views · 26 likes · 0 reposts · 3 replies Open on X →
Claude's "invisible" watermarks work by shifting the probability of each consecutive output token, meaning the watermark lies in the words chosen. So yes, if you copy & paste a Claude output, it will have the watermark. Conversely, if you have Claude proofread your writing 2.9K views · 16 likes · 3 reposts · 4 replies Open on X →
@HarperSCarroll Cute girl explaining AI. Does it get better than this? 106 views · 1 likes · 0 reposts · 0 replies Open on X →
If you have any questions at all, let me know — I can guarantee you that someone else has the same question. I hope this is helpful. I want to make it as straightforward as possible! If you’re interested in learning about these systems, I have a series called the 10 Days of AI 2.2K views · 10 likes · 1 reposts · 1 replies Open on X →
Ever wondered what neural networks are and how they work? Systems like ChatGPT use neural networks to work as well as they do. Neural networks are composed of "layers" of neurons, layers with different functions; connections between layers called "weights"; and mathematical http 37.7K views · 250 likes · 23 reposts · 19 replies Open on X →

Im Vergleich zu Konten gleicher Größe

4 Beiträge aus den letzten 90 Tagen, verglichen mit der Größenklasse 10K–100K Follower. wird weit gezeigt, aber nur wenige dieser Zuschauer reagieren.

Medianaufrufe3 256dieses Konto924Median für 10K–100K
Reichweite, %13.60%dieses Konto3.62%Median für 10K–100K
Interaktion, %0.54%dieses Konto1.52%Median für 10K–100K
KennzahlDieses KontoMedian für 10K–100KVerhältnis
Medianaufrufe pro Beitrag3 2569243.52×
Reichweite (Aufrufe ÷ Follower)13.60%3.62%3.76×
Interaktionsrate0.54%1.52%0.35×

Weitere Konten dieser Größe →   Mit einem anderen Konto vergleichen →   Wie diese Vergleichswerte entstehen →

Growth & engagement

How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.

Views per post

37.7K3 Nov
2.2K
1064 Nov
2.9K27 Aug
3.6K28 Aug
16.8K1 Sep
1.7K2 Sep

Last 7 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.78%3 Nov
0.59%
0.94%4 Nov
0.79%27 Aug
0.81%28 Aug
0.20%1 Sep
0.29%2 Sep

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.

What the audience does

Likes57.2%338 in total
Reposts4.6%27 in total
Replies4.9%29 in total
Quotes1.0%6 in total
Bookmarks32.3%191 in total

Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.

The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.

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