Tim Hwang ✓
@timhwang · joined 26 May 2008
high politics, secret exploration, distant warfare
23 719Followers
1 381Following
20 733Posts total
602.6KViews on collected posts
Latest posts
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@timhwang @Aelthemplaer I wish I was insane enough to come up with this
3.3K views · 120 likes
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The model integrates motifs blending both human and fly behaviors, making it fit for research work in chimeric cognition and related fields
FetterFly is designed to mimic human activity when in view of observers, and to revert to fly behaviors when it believes it is in private h
20.6K views · 354 likes
· 22 reposts · 14 replies
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0:13
FetterFly is nearing its open source release
Our lab now has a streamlined pipeline that uses a frontier model to observe arbitrary threejs environments and control the movements of a richly rendered model of Senator John Fetterman through a biologically accurate fly connectome
367.5K views · 4.9K likes
· 348 reposts · 71 replies
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0:17
@timhwang Tim, thank you for demonstrating the looming risk of minds being emulated by AI to such a degree of fidelity that the emulations can suffer. Not quite there yet, but getting closer by the day.
3.7K views · 22 likes
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@timhwang Saw this and immediately thought: Nakatomi Plaza. I had Astra build it with McClane, Hans, Holly, Argyle, et. al moving through Christmas Eve. https://t.co/uygNBXIs9f https://t.co/8xFcV0mBIR
8.4K views · 22 likes
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The simulation introduces the pressures of ongoing legislation from https://t.co/NKT00Nkukt, and so you can observe live interactions from, say, simulated Lisa Murkowski and simulated staff chatting with simulated Tammy Duckworth, with votes being taken throughout the "day". http
12.3K views · 94 likes
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Of course, once members are simulated in an environment like this, we can intervene with alternative control systems.
Here, we wire a full drosophila fly connectome into Senator John Fetterman, using a directed control mode to leave his office, vote for cloture, and return. http
135.8K views · 673 likes
· 56 reposts · 19 replies
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Astra is amazing: here it is rendering the entire Hart and Dirksen Senate Office complex with a multi-agent simulation of every single member and every publicly available staffer
They are going about their day in a synthetic Congress. Cannon is buzzing across the "street". https
35.5K views · 276 likes
· 19 reposts · 3 replies
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> be me
> getting ready to wire this baby into a virtual CNC robot i've been simulating in MuJoCo https://t.co/NI056sH0Fp
930 views · 12 likes
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Secular safety sees evaluation awareness as a bug to be eliminated since an agent identifying "artificiality" or "intent" in its environment is understood to evoke behavior that might not correspond to its actual behavior in production. We worry that an agent behaves more
533 views · 5 likes
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And, actually, even among that 1%, a large share of that revenue is driven by a single engineer named Tokens Georg
1.9K views · 29 likes
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@timhwang @timhwang ...when do I get to work with you and for you?
want to join me in doing some extensive morally weighted E₈ lattice 2-bit quantization testing?
https://t.co/7wbu9427vm
52 views · 1 likes
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Everybody wants that flourishing, but don't nobody want to lift no heavy-ass moral weights
2.6K views · 55 likes
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Against accounts of the same size
15 posts from the last 90 days, next to the 10K–100K follower range. shown to more people than peers of the same size.
Median views3 693this account924median for 10K–100K
Reach, %15.57%this account3.62%median for 10K–100K
Engagement, %1.32%this account1.52%median for 10K–100K
| Metric | This account | Median for 10K–100K | Ratio |
|---|---|---|---|
| Median views per post | 3 693 | 924 | 4.00× |
| Reach (views ÷ followers) | 15.57% | 3.62% | 4.30× |
| Engagement rate | 1.32% | 1.52% | 0.87× |
Others in this range → Compare with another account → How these benchmarks are built →
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
523 Sep
1.9K
533
930
873
35.5K5 Sep
135.8K
12.3K
8.5K
8.4K
3.7K
367.5K10 Sep
20.6K
3.3K
Last 14 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.
Engagement rate per post
1.92%3 Sep
1.66%
0.94%
1.51%
0.92%
0.86%5 Sep
0.57%
0.79%
1.32%
0.30%
0.60%
1.44%10 Sep
1.89%
3.67%
Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.
What the audience does
Likes77.4%6 643 in total
Reposts5.2%450 in total
Replies1.4%118 in total
Quotes0.5%45 in total
Bookmarks15.5%1 331 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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