Foresight Institute ✓
@foresightinst · San Francisco, CA · joined 03 Mar 2011
Advancing frontier science and technology since 1986.
12 637Followers
2 734Following
4 936Posts total
73.1KViews on collected posts
Latest posts
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What would it take for AI to compress decades of scientific progress into years, and make that progress open, verifiable, and widely shared? In just a few weeks, some of the best minds working on this are joining us for a 2-day workshop in San Francisco.
Speakers include:
• http
1.2K views · 23 likes
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@foresightinst funding compute and coordination is a way better bet than another wrapper launch tbh
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We prioritize work that uses AI as the primary engine of progress, as well as researchers and builders who want to be active, in-person members at one of our AI Nodes in San Francisco or Berlin.
Apply by Oct 31. Read the full RFP: https://t.co/otYDljW3EI
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Call 2: Coordination and accountability
In this call, we seek to fund work in three focus areas:
• Supercollaboration and decentralized alignment: how humans and AI agents can collaborate, monitor each other, and cooperate
• Human Empowerment: how humans should retain
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Call 3: AI-first science: Bio, Neuro, Nano
If the transition to superintelligence goes well, science may begin to move extremely fast, and the question quickly becomes what we do with vastly greater scientific capability.
In this call, we especially want to fund AI-first
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Call 1: Local Compute
Compute may become an essential resource over the next few years.
This call is focused on building and providing compute that individuals or communities physically own and control, giving them a chance at agency in the next decade.
Details:
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Our new Request for Proposals just launched: up to $100K in grant funding, office space in SF and Berlin, community, and compute for open AI for science and safety projects.
This RFP spans three connected layers:
• Local Compute
• Coordination and accountability
• AI-first http
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Current AI systems are surprisingly uneven in their abilities, displaying superhuman competence in some tasks but puzzling limitations in others. Why?
New on Foresight Radio: Tom Griffiths, professor of psychology and computer science at Princeton applies the tools of cognitive
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New on Foresight Radio: @robinhanson, economist at George Mason University, applies economic reasoning to questions about work, relationships, and social structure in a world run by robots.
Listen wherever you get your podcasts. Links in reply. https://t.co/kFK9rjwYVr
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@foresightinst I readEngines of Creation as a teen, took a class by Drexler in college and have been participating in Foresight weekends for over 20 years now. I call them brain spas. https://t.co/KmCNsd4XwX
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For 40 years, we’ve backed the science and technology that legacy institutions call too early, or too far between the lines.
If this work matters to you, support the next chapter of Foresight. https://t.co/siexilLW7e
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In 1986, a group of scientists and futurists gathered to take seriously technologies most people considered science fiction: nanotechnology, machine intelligence, radical life extension, brain-computer interfaces.
Forty years later, these aren't fringe ideas. They're the https:
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2:25
Against accounts of the same size
12 posts from the last 90 days, next to the 10K–100K follower range. shown to more people than peers of the same size.
Median views760this account1 018median for 10K–100K
Reach, %6.02%this account3.99%median for 10K–100K
Engagement, %1.18%this account1.55%median for 10K–100K
| Metric | This account | Median for 10K–100K | Ratio |
|---|---|---|---|
| Median views per post | 760 | 1 018 | 0.75× |
| Reach (views ÷ followers) | 6.02% | 3.99% | 1.51× |
| Engagement rate | 1.18% | 1.55% | 0.76× |
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
45.3K17 Aug
788
59719 Aug
2.4K31 Aug
7333 Sep
19.3K
829
643
693
510
218
1.2K7 Sep
Last 12 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.
Engagement rate per post
0.47%17 Aug
1.27%
1.84%19 Aug
0.75%31 Aug
1.77%3 Sep
1.05%
1.09%
0.93%
1.73%
1.96%
0.00%
2.41%7 Sep
Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.55%.
What the audience does
Likes52.1%442 in total
Reposts7.3%62 in total
Replies1.9%16 in total
Quotes1.6%14 in total
Bookmarks37.1%315 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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