Alec Radford✓ Add us as a preferred source on Google
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Followers
72.8K
Posts
565
Following
305
Account age
13 yrs
💰 Suggested sponsorship rate
$408 – $663 / sponsored post
Estimated from audience size & typical reach — every deal is negotiable and held in SocialDB escrow.
🎁 Free analysisfor Alec Radford
📊 Activity & format
Posting cadence
0.09 / week
A lower-frequency account — each post lands with more weight.
Content mix
Mostly text
Recent: 1 video · 7 image · 10 text.
Follower / following
239×
Follows 305 back. A strong ratio — an audience that follows them, not a follow-for-follow network.
Verification
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A paid X Premium (Blue) verified account.
Recent posts
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This is a really fun live experiment with twitch chat predictably oscillating between love and hate based on the sample.
By the way - I think a valid (if extreme) take on GPT-2 is "lol you need 10,000x the data, 1 billion parameters, and a supercomputer to get current DL models to generalize to Penn Treebank."
So nets are stubbornly, begrudgingly, moving in the right direction and we're throwing ever larger amounts of compute and data at them and praying it's enough for them to figure out how to do things "the right way".
Will that work?
Don't…
Spent two frustrating years between 2013 and 2015 banging my head against this.
"Hey Alec you just trained an LSTM for three days on 10 million examples using a $1,000 GPU but there's 20 lines of scikit-learn that beats it in 5 minutes on…
The DL CV community is having a "oh wait, bags of local features are a really strong baseline for classification" moment with the BagNet paper.
This has always been clear for text classification due to n-gram baselines. It took an embarra…
Nice discussion of the progress in NLU that's happening with BERT, OpenAI GPT, ULMFiT, ELMo, and more covered by @CadeMetz in the @nytimes I'm super excited to see how far this line of research will be able to get in the next few years!
A much cleaner interface than the current research code release if you want to see how this approach does on your problems!
▶
Eye candy for the day: PCA of the position embeddings (colored by pixel height) over the course of training for an autoregressive Transformer modeling pixel-by-pixel Imagenet
What I've been working on for the past year! https://t.co/CAQMYS1rR7
Inspired by CoVE, ELMo, and ULMFiT we show that a single transformer language model can be finetuned to a wide variety of NLP tasks and performs very well with little tu…
Just stumbled across Wikipedia's vital article lists containing the top 10 -> 100 -> 1,000 -> 10,000 most important articles. Very cool and useful resource from a concept learning perspective! Here's a subset of the top 100:
If you were stranded on a deserted island and could only bring one dataset to train models on what dataset would you take?
A replication of Learning To Generate Reviews and Discovering Sentiment by Raul Puri at NVIDIA https://t.co/HyKYWPW8ND
💡 Facts
🗓️Joined X in 2012 — 13 years ago.
📤Posts about 0.1× per week.
💬0.53% engagement rate.
🏅Earned the 10K Followers for passing 10K followers.
🕵️ Fake follower check
Estimated61/100
Fair
Credibility score
85%
Real
Real audience
Low
Fake-follower risk
High
Data confidence
- Est. 85% real, active audience · Low fake-follower risk.
- Limited engagement data — score uses the signals available.
- Organic base — far more followers than accounts it follows.
- Verified account.
- Established account (13+ years old).
- 0.53% engagement — below the ~8.8% typical for this size.
Heuristic estimate from engagement, follower ratios, account age & growth — a screening signal, not a guarantee.
📸 Gallery
🔀 Audience overlap
EstimatedEstimated shared audience with similar creators — useful for avoiding overlap (or doubling down) when planning a campaign.
満州中央銀行
16%
Ministère des Sports 🇫🇷
16%
(No) Signal
13%
Plaid Cymru 🏴
11%
Spaace 🟠
11%
Joe Madureira
10%
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Alec Radford has 72,835 followers on X.
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