humans&
@humansand · joined 30 Sep 2025
AI for humans
11 457Followers
0Following
93Posts total
2.4MViews on collected posts
Últimas publicaciones
Buscando publicaciones nuevas…
@humansand Ehhh?? https://t.co/O2iScNeNvn
18.6K views · 67 likes
· 0 reposts · 3 replies
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We're offering limited (research preview) access to Persimmon through our playground and API. Please read our blog to learn more and apply!
https://t.co/Qs8PiAkqLh
30.3K views · 173 likes
· 4 reposts · 2 replies
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In our tests, an AI judge could almost always spot conversations generated by frontier assistant models prompted to simulate people
Compared to these models, Persimmon's conversations were much harder to distinguish from human ones https://t.co/R74VJXe7Hv
13.3K views · 95 likes
· 5 reposts · 2 replies
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We mid- and post-trained Persimmon starting from NVIDIA's 550b Nemotron 3 Ultra model, using thousands of Blackwell-generation GPUs, leveraging the cluster we recently built
Persimmon is an early release, and there's still much more to do: tool use, longer horizons, and more htt
13.5K views · 127 likes
· 4 reposts · 2 replies
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Why this model category? User models let us roll out a hypothetical situation or explore the consequences of an event or decision
Good user models are a key step towards AI that understands the differences between people and how they change https://t.co/1qm6P5wQFI
31.3K views · 134 likes
· 3 reposts · 3 replies
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As you have likely seen, AI text often has tells that make it bad at capturing the real distribution of human conversations. Assistant-simulated conversations are less diverse than human conversations and evolve more predictably https://t.co/XKuqlCThnd
14.3K views · 79 likes
· 1 reposts · 5 replies
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For AI to work with us, it needs to understand us
Today, we're introducing Persimmon, the first large-scale model designed to realistically simulate how people talk and interact https://t.co/KG3rahQphQ
495.8K views · 1.4K likes
· 142 reposts · 85 replies
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0:42
Many important directions for innovation are not (yet!) prioritized by big AI labs - without open weights, only those established labs would be able to decide what training directions are worth pursuing. We're proud to cosign this letter and support an innovative AI ecosystem htt
25.6K views · 46 likes
· 7 reposts · 0 replies
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At humans&, we train models from the long-term impacts of their interactions with people. This requires prioritizing long-horizon multi-agent RL. We've developed and are excited to share an open-source, hardware-native 4-bit RL recipe, significantly accelerating training https://
276.1K views · 1.2K likes
· 149 reposts · 14 replies
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GIF
we have a small presence at ICLR - come say hi! https://t.co/kuVfPPY148
25.8K views · 48 likes
· 3 reposts · 1 replies
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We will be co-hosting this in SF with our great friends at SV Angel. We'll keep the event small and cozy and have a few prizes for the teams:🥇$16k🥈$8k🥉$4k. Come by and hang out with the humans& team - it’ll be a lot of fun!
24.1K views · 79 likes
· 9 reposts · 2 replies
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Announcing the humans& hackathon! Hack with us this Saturday - come experiment and build AI apps to help people collaborate and communicate, work with creative folks, learn a bit about what we're building, and win cool prizes
Apply here: https://t.co/pzpr8M982G https://t.co/QAtK
88.4K views · 314 likes
· 24 reposts · 20 replies
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@humansand what are you guys actually making i literally cannot tell at all
14.6K views · 401 likes
· 0 reposts · 18 replies
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No one changes the world alone. AI models are rapidly learning to reason better, code faster, and take actions in the world with increasing autonomy. But for humans, progress happens when we understand one another, build trust, make connections, and work together
26.5K views · 103 likes
· 0 reposts · 2 replies
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That is where we believe the next chapter of AI should begin. This requires rethinking everything about how we train models at scale and how people interact with AI. This needs innovations in long-horizon and multi-agent reinforcement learning, memory, and user understanding
28.7K views · 102 likes
· 0 reposts · 1 replies
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Our founding team has led major efforts across industry and academic labs including xAI, Anthropic, GDM, OpenAI, Meta, Stanford, and MIT. We have collectively shipped models and products loved by billions of people. To learn more or join: https://t.co/LaJIHcF8g1
26.8K views · 145 likes
· 2 reposts · 6 replies
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Today we introduce humans&, a human-centric frontier AI lab. We believe AI can be reimagined, centering around people and their relationships with each other. At its best, AI should serve as a deeper connective tissue that strengthens organizations and communities https://t.co/eq
1.3M views · 1.7K likes
· 102 reposts · 104 replies
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Frente a cuentas del mismo tamaño
9 publicaciones de los últimos 90 días, junto al rango de 10K–100K seguidores. llega a mucha gente, pero pocos de esos espectadores reaccionan.
Visualizaciones medianas25 626esta cuenta1 018mediana de 10K–100K
Alcance, %223.67%esta cuenta3.77%mediana de 10K–100K
Interacción, %0.49%esta cuenta1.66%mediana de 10K–100K
| Métrica | Esta cuenta | Mediana de 10K–100K | Proporción |
|---|---|---|---|
| Visualizaciones medianas por publicación | 25 626 | 1 018 | 25.2× |
| Alcance (visualizaciones ÷ seguidores) | 2.2× audience | 3.77% | 59.3× |
| Tasa de interacción | 0.49% | 1.66% | 0.29× |
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
26.5K20 Jan
14.6K
88.4K17 Feb
24.1K
25.8K24 Apr
276.1K10 Jul
25.6K27 Jul
495.8K10 Sep
14.3K
31.3K
13.5K
13.3K
30.3K
18.6K
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
0.40%20 Jan
2.87%
0.41%17 Feb
0.38%
0.21%24 Apr
0.49%10 Jul
0.21%27 Jul
0.32%10 Sep
0.59%
0.45%
0.99%
0.77%
0.59%
0.38%
Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.66%.
What the audience does
Likes64.8%6 094 in total
Reposts4.8%455 in total
Replies2.9%270 in total
Quotes1.6%153 in total
Bookmarks25.9%2 431 in total
Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.
Followers by day
6 Sep
Daily snapshots since 06 Sep 2026; the dashed line is the starting count.
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