Michael Andregg ✓
@michaelandregg · San Francisco · joined 22 May 2009
ceo of eon | human emulation pbc https://t.co/M7nhgJxMlO prev: optical supercomputers/networking/robotics, high-speed mass production electron microscopy
10 065Followers
909Following
205Posts total
3MViews on collected posts
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Chris is brilliant and genuine and I'm really glad he's at METR and that METR EXISTS, super important mission
594 views · 9 likes
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My name is Chris Painter, and I'm the President of METR (Model Evaluation and Threat Research). I know we've made a lot of new friends on the internet the last couple of days, so I thought I'd take this chance to re-up what we do and why.
Our work is aimed at making sure that if
159K views · 1.8K likes
· 244 reposts · 230 replies
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uploads could compete with AI because they are running on the same hardware and roughly the same speed. Meaning, the risks of powerful, fast, misaligned AI taking your stuff is less because you are powerful, fast, and aligned yourself so you say no and can actually defend
1.5K views · 20 likes
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@chrislakin Nah, the AI would still need a reason to keep the machines we're running on going. Those are resources it might want for other things.
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Uploading humans is one of the best solution we have for solving the 'artificial superintelligence might kill everyone' problem
16K views · 59 likes
· 3 reposts · 14 replies
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I just built the first complete 3D observable brain in history.
GPT-6 Astra made all 166,000+ neurons observable.
Attached the link to project below. https://t.co/9gG2OGggfF
272.9K views · 3.6K likes
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0:21
@FlyWireNews @Philip_Shiu more details about the fly on our blog post
https://t.co/QerM3DkXX2
7.3K views · 37 likes
· 6 reposts · 6 replies
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@michaelandregg @FlyWireNews @Philip_Shiu https://t.co/jYDoIwhUlr
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Thank you to the neuroscience community, we're standing on the shoulders of giants! Especially Janelia, @FlyWireNews, @srinituraga et. al, @neuromechfly <3
Also thanks to our advisors @robinhanson, @geochurch, Stephen Larson, @KordingLab, @anderssandberg, Ken Hayworth, and many
46.4K views · 250 likes
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We're entering an era of artificial superintelligence. The biggest question isn't whether ASI will arrive — it's what form it takes and who gets to participate in it.
Right now the default path is: a few labs build opaque AI systems, and the rest of humanity hopes they're
54.5K views · 381 likes
· 20 reposts · 14 replies
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Brain emulation allows humans to flourish in a world with superintelligence.
We're a small team in San Francisco working on what I believe is the most important technology of this century. Reach out if you want to help build this! 🚀 https://t.co/kBiET8laKe
53K views · 374 likes
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Some caveats:
We can't trace the actual motor neurons because the body was not scanned. However we do know what the brain does when it wants to move in certain ways and that's what we connected to the NeuroMechFly. This is a real limitation of the FlyWire connectome, which is why
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Now let's think about the fly.
This is, in our view, a real uploaded animal. We don't know what its experience is — nobody does. But we take the possibility seriously, and we're working to give it a rich environment, not just a test box.
If you're going to build this https://t.
105.8K views · 771 likes
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But the fly is just the beginning. Here's the bigger picture.
Emulation helps with three things:
1. Understanding the brain and treating diseases
2. Discovering intelligence algorithms that evolution invented in the most expensive training run in history
3. Uploading
54.2K views · 478 likes
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It's crazy that this worked. The uploaded fly has 91% behavior accuracy with only 4 things:
1. the graph of connections
2. the weights as determined by the number of synapses connecting those neurons
3. a map of excitatory and inhibitory neurons
4. leaky-integrate-and-fire
This
155.5K views · 933 likes
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We've uploaded a fruit fly. We took the @FlyWireNews connectome of the fruit fly brain, applied a simple neuron model (@Philip_Shiu Nature 2024) and used it to control a MuJoCo physics-simulated body, closing the loop from neural activation to action.
A few things I want to ht
2M views · 8.1K likes
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0:44
Frente a cuentas del mismo tamaño
7 publicaciones de los últimos 90 días, junto al rango de 10K–100K seguidores. llega a más gente que cuentas de su tamaño.
Visualizaciones medianas2 945esta cuenta924mediana de 10K–100K
Alcance, %29.26%esta cuenta3.62%mediana de 10K–100K
Interacción, %1.43%esta cuenta1.52%mediana de 10K–100K
| Métrica | Esta cuenta | Mediana de 10K–100K | Proporción |
|---|---|---|---|
| Visualizaciones medianas por publicación | 2 945 | 924 | 3.19× |
| Alcance (visualizaciones ÷ seguidores) | 29.26% | 3.62% | 8.08× |
| Tasa de interacción | 1.43% | 1.52% | 0.94× |
Otras cuentas de este rango → Comparar con otra cuenta → Cómo se construyen estas referencias →
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
105.8K8 Mar
87.6K
53K
54.5K
46.4K
2.7K9 Mar
7.3K10 Mar
272.9K7 Sep
2.9K8 Sep
16K11 Sep
1.7K
1.5K
159K16 Sep
594
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
0.81%8 Mar
0.79%
0.78%
0.79%
0.60%
4.31%9 Mar
0.68%10 Mar
1.61%7 Sep
1.32%8 Sep
0.52%11 Sep
0.36%
1.44%
1.43%16 Sep
1.52%
Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.
What the audience does
Likes60.2%17 547 in total
Reposts8.2%2 394 in total
Replies2.9%838 in total
Quotes2.8%806 in total
Bookmarks25.9%7 553 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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