Miles Brundage✓ Add us as a preferred source on Google
🔄 Data last refreshed 1 month ago
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Make a deal with Miles Brundage
🔒 Paid proposals held safely in escrow — released only when the work's approved.
Followers
75.1K
Posts
66.1K
Following
13.6K
Account age
13 yrs
💰 Suggested sponsorship rate
$421 – $683 / sponsored post
Estimated from audience size & typical reach — every deal is negotiable and held in SocialDB escrow.
🎁 Free analysisfor Miles Brundage
Known for
620.8K views
The New Yorker cannot keep getting away with this
329.3K views
I just sent this message to my colleagues, and elaborate on my decision and next steps in a blog post (see next tweet):
153.6K views
Not enough Ilya t-shirt appreciation on Twitter
115.6K views
Not bad (Operator making memes about itself)
📊 Post performance
Recent posts · views
Jun 29latest
115.6K
Avg views / post
90.2K–282.3K
Typical post (views)
1.5×
Reach vs followers
61/100
Consistent reach
Feb 2013
On X since
Half of recent posts land between 90.2K and 282.3K views (median 124.4K) — a dependable floor a sponsored post can count on.
🔥 Top post: The New Yorker cannot keep getting away with this · 620.8K views
📊 Activity & format
Posting cadence
0.05 / week
A lower-frequency account — each post lands with more weight.
Content mix
Mostly images
Recent: 0 video · 9 image · 9 text.
Follower / following
5.5×
Follows 13.6K back. A more reciprocal / networked account.
Verification
✓ X Premium
A paid X Premium (Blue) verified account.
Recent posts
View on X ↗
🔥 Top post
The New Yorker cannot keep getting away with this
It was an honor and a ton of fun to work on this unique collaboration between AVERI, Google DeepMind, OpenMined, and MLCommons.
Getting AI governance right will involve both technical and institutional innovation, and both played a role h…
Update: this might be the first Thanksgiving in which brussels sprouts don't even briefly overtake deep learning https://t.co/WskabSdNmE
Dear OpenAI friends:
I'm sorry to be the one to tell you but I can say confidently now, as an ex-insider/current outsider, that the vagueposting is indeed off-putting to (most) outsiders. I *promise* you can enjoy launches without it -- y…
Is this "high-end laptop" in the room with us right now
Some of y’all need this
Not enough Ilya t-shirt appreciation on Twitter
Not sure why the gutting of American science funding isn’t a bigger story.
No one voted for it, it reduces American innovation and economic competitiveness in the near-term and long-term, and it isn’t even being done efficiently, if that…
Few remember this but this is what language models sounded like a few years ago like 10% of the time, before RLHF
Man goes to Deep Research, asks for help with the literature on trustworthy AI development.
Deep Research says, "You are in luck. There is relevant paper by Brundage et al."
Man: "But Deep Research..."
Not bad (Operator making memes about itself)
Photo
Sure, o3 shows that throwing thousands of dollars of compute can allow you to solve hard problems.
But AI never gets cheaper over time, so this is the cheapest it'll ever be. And no company can afford to spend thousands of dollars solving…
Update: this might be the first Thanksgiving in which brussels sprouts don't even briefly overtake deep learning https://t.co/WskabSdNmE
Dear OpenAI friends:
I'm sorry to be the one to tell you but I can say confidently now, as an ex-insider/current outsider, that the vagueposting is indeed off-putting to (most) outsiders. I *promise* you can enjoy launches without it -- y…
Is this "high-end laptop" in the room with us right now
Some of y’all need this
Not enough Ilya t-shirt appreciation on Twitter
Not sure why the gutting of American science funding isn’t a bigger story.
No one voted for it, it reduces American innovation and economic competitiveness in the near-term and long-term, and it isn’t even being done efficiently, if that…
Few remember this but this is what language models sounded like a few years ago like 10% of the time, before RLHF
Man goes to Deep Research, asks for help with the literature on trustworthy AI development.
Deep Research says, "You are in luck. There is relevant paper by Brundage et al."
Man: "But Deep Research..."
Not bad (Operator making memes about itself)
Photo
Sure, o3 shows that throwing thousands of dollars of compute can allow you to solve hard problems.
But AI never gets cheaper over time, so this is the cheapest it'll ever be. And no company can afford to spend thousands of dollars solving…
💡 Facts
🗓️Joined X in 2013 — 13 years ago.
👁️Averages 115.6K views per post.
📤Posts about 0.1× per week.
💬2.96% engagement rate.
🏅Earned the 10K Followers for passing 10K followers.
🕵️ Fake follower check
Estimated63/100
Good
Credibility score
80%
Real
Real audience
Low
Fake-follower risk
High
Data confidence
- Est. 80% real, active audience · Low fake-follower risk.
- Engagement (~1.5× of followers engage each post) is around typical for X.
- Verified account.
- Established account (13+ years old).
- 2.96% engagement — below the ~18% typical for this size.
Heuristic estimate from engagement, follower ratios, account age & growth — a screening signal, not a guarantee.
About
AI policy researcher, @lfschiavo wife guy, fan of animals and sci-fi, Executive Director of @AVERIorg, Substacker, views my own
📸 Gallery
🔀 Audience overlap
EstimatedEstimated shared audience with similar creators — useful for avoiding overlap (or doubling down) when planning a campaign.
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