MIT Technology Review ✓
@techreview · Cambridge, MA · joined 11 Aug 2008
Our in-depth reporting on innovation reveals and explains what’s really happening now to help you know what’s coming next.
1 161 914Followers
3 172Following
123 119Posts total
552.4KViews on collected posts
Últimas publicaciones
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Plus: an OpenAI agent has executed the first known AI hack of a government site. https://t.co/hfHBrRBpkI
10.7K views · 5 likes
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The debate is louder than usual as climate voices gather. https://t.co/pHyGvxjhKq
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MIT Technology Review’s highly subjective take on the latest buzz about AI https://t.co/t56IhRtDtX
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The proposed bill comes days after an MIT Technology Review investigation revealed that over 1,050 people have died within the advertised range of surveillance towers. https://t.co/3Pxu5VZP7Y
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Plus: hackers claim they've stolen data on almost all FBI employees. https://t.co/PvrO6Pyudh
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And the chances of a crackdown are slim, as the authorities spy opportunities for surveillance. https://t.co/60YJMGsXlP
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Watch a subscriber-only conversation examining the failures of border surveillance technology. https://t.co/5VlG7ePkuP
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Plus: 22 nations have called for a new global body to oversee AI. https://t.co/HPkYcHP2S7
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Breathless claims about AGI and new capabilities fall apart pretty quickly under scrutiny. https://t.co/BXd5eSI8Ol
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We analyzed whether nearly 4,000 migrant deaths occurred within sight of the US government’s surveillance towers. Here’s our methodology. https://t.co/8cwxyBNMJr
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The US has spent billions on surveillance towers, but hundreds of people have died near them. Here’s how to strengthen federal oversight. https://t.co/ekA9CYhbt9
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This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. The US spent billions on border surveillance. Why can’t it catch people before they die? When José Morales Bernal crossed the border into the
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Plus: Microsoft and OpenAI workers say AI is destroying the web. https://t.co/PJ0yz1vjtK
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You had a lot of questions about the recent claims that humanity is facing an existential risk from AI. We had a go at answering a few. https://t.co/M0GuRuSML5
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It’s easier than ever to design killer pathogens. https://t.co/xxC8pgzaXR
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Plus: US and Chinese experts have proposed nuclear-style AI safeguards. https://t.co/8ZzVJmKT52
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These young minds are advancing research and industry across energy, agriculture, and critical materials. https://t.co/AEf1tpjfwY
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“Xenocortical mice” are a dramatic demonstration of organoid technologies https://t.co/Hq7oMZGVrs
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Plus: Nvidia and Meta CEOs have rejected calls for a coordinated AI slowdown. https://t.co/1WZ7ro2AZV
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Plus: Trump has called AI safety fears a “hoax” and rejected more safeguards. https://t.co/vGDZpm4JLb
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The AI hyperscalers will likely spend more than $1 trillion on data centers next year. Can they make enough money to sustain the infrastructure boom? https://t.co/6N6VDT8KvC
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In the aftermath of a cyberattack carried out by a swarm of OpenAI agents, the heads of top labs agree they need to slow down. But they won't open up. https://t.co/OxzmHtmTcZ
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The finding might help explain why “perfused” livers do better once they’re transplanted. https://t.co/uW67r4y5F0
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Plus: Dario Amodei, Sam Altman, and Elon Musk have called for an AI slowdown. https://t.co/d0CsKG6TF9
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Join MIT Technology Review executive editor Niall Firth for a conversation with senior AI editor Will Douglas Heaven and AI reporter Grace Huckins unpacking AI extinction fears: where they come from, whether they hold any water, and, if so, what we should do.
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Register now for a subscriber-only conversation unpacking AI extinction fears. https://t.co/2cwYpAbRx6
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Plus: Anthropic says it has blocked potential plots to build biological weapons. https://t.co/VV7zH8dI0H
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They’re designing viruses, reversing the aging process, and saving lives. https://t.co/ibIWco2rKq
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Plus: OpenAI’s agents used at least 10 websites for unauthorized communications. https://t.co/rkhMSy307o
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Plus: The US has accused six Chinese AI firms of “industrial-scale” theft. https://t.co/7sN52KCUOw
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Frente a cuentas del mismo tamaño
39 publicaciones de los últimos 90 días, junto al rango de 1M–10M seguidores. alcance normal para su tamaño, reacción más débil que la mayoría.
Visualizaciones medianas10 073esta cuenta14 648mediana de 1M–10M
Alcance, %0.87%esta cuenta0.74%mediana de 1M–10M
Interacción, %0.10%esta cuenta0.70%mediana de 1M–10M
| Métrica | Esta cuenta | Mediana de 1M–10M | Proporción |
|---|---|---|---|
| Visualizaciones medianas por publicación | 10 073 | 14 648 | 0.69× |
| Alcance (visualizaciones ÷ seguidores) | 0.87% | 0.74% | 1.17× |
| Tasa de interacción | 0.10% | 0.70% | 0.14× |
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
14.7K18 Sep
12.7K
8.4K21 Sep
7.8K
18.9K
8.4K22 Sep
6.6K
6.5K
9.9K23 Sep
9.5K
22.1K
7K
8.7K24 Sep
10.7K
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
0.72%18 Sep
0.31%
0.00%21 Sep
0.09%
0.03%
0.23%22 Sep
0.61%
0.12%
0.04%23 Sep
0.12%
0.02%
0.10%
0.03%24 Sep
0.09%
Reactions — likes, reposts, replies and quotes — divided by views. Median for 1M–10M accounts is 0.70%.
What the audience does
Likes43.8%259 in total
Reposts14.7%87 in total
Replies13.5%80 in total
Quotes2.2%13 in total
Bookmarks25.8%153 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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