Brian Greene ✓
@bgreene · New York, NY · joined 30 May 2012
Theoretical Physicist, Author, Co-founder @WorldSciFest, Professor of Mathematics & Physics, Columbia University
1 195 260Followers
29Following
1 865Posts total
174.8KViews on collected posts
Latest posts
Looking for new posts…
Join me for a live Q & A at 4 PM ET--looking forward to your questions: https://t.co/uFPbWMJyYE
23.1K views · 57 likes
· 12 reposts · 10 replies
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Conversation with the great Lenny Susskind—quantum mechanics, gravity, black holes. I asked what drives him. A deeper connection to mystery? Yes, he answered, but really: it's fun.
Bottom line: if you love what you do, you've been granted a remarkable gift.
30.7K views · 158 likes
· 24 reposts · 74 replies
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@bgreene The insentience of AIs isn’t incidental; it’s hardwired.
The bedrock of mind is phenomenal binding.
The bedrock of digital computers is discrete 1s and 0s.
Replace the 1s and 0s of a program with discrete micro-pixels of experience.
The upshot?
A micro-experiential zo
464 views · 13 likes
· 0 reposts · 2 replies
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@bgreene There's a sucker born every minute. Anyone who thinks the LLMs are sentient doesn't have enough sentience of his own.
148 views · 8 likes
· 0 reposts · 2 replies
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@bgreene No. Really good pattern recognition.
195 views · 8 likes
· 0 reposts · 0 replies
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I suspect AI will one day be sentient, but I’m intrigued that some experts, including Nick Bostrom, don’t rule out that today’s systems may already have a flicker of self-awareness. Maybe it’s time to be a little kinder to ChatGPT and Claude. https://t.co/Y86JWPffgL
45.2K views · 217 likes
· 43 reposts · 86 replies
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Going live on YouTube to answer your questions in 10 minutes. See you there.
https://t.co/6NCUqFanrB
17.1K views · 60 likes
· 9 reposts · 22 replies
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With the @NASAArtemis splashdown happening Friday night, there is no better time to sit down with me and talk science. Join @WorldSciFest live on YouTube for a Q&A today at 4pm EDT.
Drop your questions below to get them answered live.
https://t.co/OohprlZ5dg
14K views · 47 likes
· 5 reposts · 15 replies
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@bgreene Here is a great example of how the 364 degree geometry SHOWS us the MATRIX.
If you divide 13 by the measure of 7 (13 week in a Season = 91 day/degrees) - the matrix beyond the decimal tells you what is going on.... - https://t.co/GiIAzIz2jz
99 views · 10 likes
· 0 reposts · 3 replies
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@bgreene It only looks that way because we measure everything with a math that lacks precision. Using a 364 Degree Geometry - everything becomes perfect holographic order - this can be seen to a lessor degree in our 360 degree system of measures with a Second that is shorter, h
96 views · 9 likes
· 0 reposts · 0 replies
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@bgreene The universe: organized like a Swiss watch, executed like an Italian wedding.
400 views · 8 likes
· 0 reposts · 0 replies
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Quantum mechanics is the law of likelihoods, not the script of events. Probabilities are set in stone; outcomes are improvised
43.4K views · 770 likes
· 109 reposts · 141 replies
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Against accounts of the same size
1 posts from the last 90 days, next to the 1M–10M follower range. shown widely, but few of those viewers react.
Median views23 069this account14 648median for 1M–10M
Reach, %1.93%this account0.74%median for 1M–10M
Engagement, %0.35%this account0.70%median for 1M–10M
| Metric | This account | Median for 1M–10M | Ratio |
|---|---|---|---|
| Median views per post | 23 069 | 14 648 | 1.57× |
| Reach (views ÷ followers) | 1.93% | 0.74% | 2.61× |
| Engagement rate | 0.35% | 0.70% | 0.50× |
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
43.4K8 Dec
400
965 Mar
99
14K10 Apr
17.1K
45.2K17 Apr
19518 Apr
148
464
30.7K31 May
23.1K18 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
2.40%8 Dec
2.00%
9.38%5 Mar
13.13%
0.48%10 Apr
0.54%
0.81%17 Apr
4.10%18 Apr
6.76%
3.23%
0.85%31 May
0.35%18 Sep
Reactions — likes, reposts, replies and quotes — divided by views. Median for 1M–10M accounts is 0.70%.
What the audience does
Likes61.6%1 365 in total
Reposts9.1%202 in total
Replies16.0%355 in total
Quotes2.1%46 in total
Bookmarks11.2%249 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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