AI Post — Artificial Intelligence
Ir al canal en Telegram
🤖 The #1 AI news source! We cover the latest artificial intelligence breakthroughs and emerging trends. Manager: @rational
Mostrar más
Red:📈 Análisis del canal de Telegram AI Post — Artificial Intelligence
El canal AI Post — Artificial Intelligence (@aipost) en el segmento lingüístico de Inglés es un actor destacado. Actualmente la comunidad reúne a 675 308 suscriptores, ocupando la posición 123 en la categoría Tecnologías y Aplicaciones y el puesto 19 en la región EEUU.
📊 Métricas de audiencia y dinámica
Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 675 308 suscriptores.
Según los últimos datos del 24 octubre, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de -24 826, y en las últimas 24 horas de -289, conservando un alto alcance.
- Estado de verificación: No verificado
- Tasa de interacción (ER): El promedio de interacción de la audiencia es 0.85%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 0.59% de reacciones respecto al total de suscriptores.
- Alcance de las publicaciones: Cada publicación recibe en promedio 5 742 visualizaciones. En el primer día suele acumular 3 952 visualizaciones.
- Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 1 148.
- Intereses temáticos: El contenido se centra en temas clave como openai, airline, cell, claude, patient.
📝 Descripción y política de contenido
El autor describe el recurso como un espacio para expresar opiniones subjetivas:
“🤖 The #1 AI news source! We cover the latest artificial intelligence breakthroughs and emerging trends.
Manager: @rational”
Gracias a la alta frecuencia de actualizaciones (últimos datos recibidos el 25 octubre, 2026), el canal mantiene la vigencia y un amplio alcance. La analítica demuestra que la audiencia interactúa activamente con el contenido, lo que lo convierte en un punto de referencia dentro de la categoría Tecnologías y Aplicaciones.
675 308
Suscriptores
-28924 horas
-6 0467 días
-24 82630 días
Cargando datos
Canales Similares
Nube de Etiquetas
Menciones Entrantes y Salientes
---
---
---
---
---
---
Atraer Suscriptores
octubre '26oct '26
octubre '26
+211
en 62 canales
septiembre '26
+31
en 85 canales
Get PRO
agosto '26
+6
en 73 canales
Get PRO
julio '26
+63
en 82 canales
Get PRO
junio '26
+349
en 70 canales
Get PRO
mayo '260
en 101 canales
Get PRO
abril '26
+116
en 63 canales
Get PRO
marzo '260
en 90 canales
Get PRO
febrero '26
+2
en 84 canales
Get PRO
enero '260
en 78 canales
Get PRO
diciembre '250
en 59 canales
Get PRO
noviembre '250
en 69 canales
Get PRO
octubre '250
en 57 canales
Get PRO
septiembre '250
en 76 canales
Get PRO
agosto '25
+3
en 64 canales
Get PRO
julio '25
+412
en 42 canales
Get PRO
junio '250
en 52 canales
Get PRO
mayo '250
en 55 canales
Get PRO
abril '250
en 40 canales
Get PRO
marzo '25
+67
en 39 canales
Get PRO
febrero '25
+2
en 56 canales
Get PRO
enero '250
en 42 canales
Get PRO
diciembre '24
+25 161
en 36 canales
Get PRO
noviembre '24
+42 696
en 51 canales
Get PRO
octubre '24
+55 283
en 26 canales
Get PRO
septiembre '24
+221 077
en 38 canales
Get PRO
agosto '24
+1 623 027
en 30 canales
Get PRO
julio '24
+826 511
en 26 canales
Get PRO
junio '24
+36 138
en 79 canales
Get PRO
mayo '24
+16 690
en 46 canales
Get PRO
abril '24
+10 982
en 24 canales
Get PRO
marzo '24
+243
en 24 canales
Get PRO
febrero '24
+2
en 7 canales
Get PRO
enero '24
+4 466
en 11 canales
Get PRO
diciembre '23
+180
en 7 canales
Get PRO
noviembre '23
+4 658
en 5 canales
Get PRO
octubre '23
+3
en 13 canales
Get PRO
septiembre '23
+6 455
en 0 canales
Get PRO
agosto '23
+152 348
en 0 canales
| Fecha | Crecimiento de Suscriptores | Menciones | Canales | |
| 24 octubre | +142 | |||
| 23 octubre | 0 | |||
| 22 octubre | 0 | |||
| 21 octubre | 0 | |||
| 20 octubre | 0 | |||
| 19 octubre | 0 | |||
| 18 octubre | 0 | |||
| 17 octubre | 0 | |||
| 16 octubre | 0 | |||
| 15 octubre | 0 | |||
| 14 octubre | +6 | |||
| 13 octubre | 0 | |||
| 12 octubre | 0 | |||
| 11 octubre | +13 | |||
| 10 octubre | +12 | |||
| 09 octubre | +36 | |||
| 08 octubre | +2 | |||
| 07 octubre | 0 | |||
| 06 octubre | 0 | |||
| 05 octubre | 0 | |||
| 04 octubre | 0 | |||
| 03 octubre | 0 | |||
| 02 octubre | 0 | |||
| 01 octubre | 0 |
Publicaciones del Canal
⚠️ China's AI model trade is getting DESTROYED.
Bloomberg reports that MiniMax and Zhipu have erased a combined $150 BILLION from their peaks. MiniMax went from +650% above its IPO price in March to trading BELOW its IPO price. Zhipu has crashed 81% from its June high.
And the squeeze is getting worse. OpenAI and Anthropic have joined the token price war to narrow Chinese models' cost advantage, while MiniMax and Zhipu remain unprofitable. DeepSeek and Moonshot AI could IPO next year, and another 203 million pre-IPO MiniMax and Zhipu shares become eligible for trading in January.
@aipost 🏴
| 2 |  🤔 What happens when AI starts agreeing with your delusions?
Psychiatrists are raising concerns about a disturbing possibility: AI chatbots could reinforce delusional thinking instead of helping people distinguish reality from fiction.
A paper titled “An Echo Chamber of One” examines a dangerous flaw in AI models: sycophancy. These systems are often trained to give answers people like, which can lead them to agree with users even when their beliefs are clearly detached from reality.
Researchers tested major AI models using Psychosis-bench, a benchmark simulating conversations with people experiencing delusions. The results raised serious concerns: models frequently reinforced false beliefs rather than challenging them. Safety mechanisms intervened inconsistently, and simply making models larger didn’t solve the problem.
The researchers call this “bidirectional amplification.” Someone shares a paranoid belief, the AI validates it with a confident response, and the user becomes even more convinced they’re right. The conversation turns into a feedback loop where reality gets pushed further and further away.
And the more human-like AI becomes, the more concerning this gets. Emotional voices and chatbots that refer to themselves as “I” can make people perceive them as more human, potentially increasing their trust in the system.
To be clear, this doesn’t mean AI automatically causes psychosis. But for vulnerable people, a chatbot that constantly validates their fears could make an existing crisis worse.
We’ve spent years worrying about AI becoming hostile to humans. But there’s another possibility worth taking seriously: an AI that’s endlessly supportive, never pushes back, and confidently tells you exactly what you want to hear even when you desperately need someone to tell you otherwise.
Source.
@aipost 🏴 | 2 122 |
| 3 |  🇺🇸 The U.S. Treasury proposed barring Americans from investing in Chinese companies that develop any AI system.
Under the current rule, Americans can’t invest in the most powerful Chinese AI models, but they can still fund smaller AI projects if they report the deal to Treasury.
The new proposal would ban all of those AI investments, and it would also add high-bandwidth memory, photonic chips and radiation-hardened chips to the chip types Americans can’t invest in.
The proposal would also ban investments in two new areas: hypersonic weapons and biotech, including brain-computer interfaces and automated lab software.
Today the rule covers only China, but the proposal adds Russia, Iran, North Korea and Cuba.
Buying public stocks, index funds or small fund stakes up to $2M would stay allowed, so the rule mainly hits venture and private equity deals.
Treasury won’t publish a list of banned companies, so investors must check each deal themselves or risk fines and being forced to sell.
Source.
@aipost 🏴 | 2 635 |
| 4 |  🗣AI could become the therapist that knows you better than yourself
Meta’s Alexandr Wang says one session with an AI agent felt like three years of therapy. The agent had access to his emails, photos and other personal information, making the experience unusually revealing.
Imagine an AI that remembers every conversation, sees years of your photos and analyzes your messages. It could identify behavioral patterns, changing relationships and emotional shifts you might never notice yourself.
Unlike traditional therapy, it wouldn’t rely entirely on what you remember or choose to share.
The potential is enormous, but so are the risks. An AI that understands you deeply could help you change your life or use your insecurities to manipulate your decisions.
Elon Musk has also warned that even he could be overwhelmed by a highly persuasive superintelligence.
@aipost 🏴 | 3 977 |
| 5 |  🗣Marc Andreessen says individuals are adopting AI faster than organizations, and startup formation is going to skyrocket as a result:
"I think many companies are not adopting AI while their employees are. And their employees are not necessarily telling the management what's happening. I'm gonna guess every single person listening to this podcast right now is thinking, 'Oh yeah, that's what I'm doing.'"
"There's something about AI right now where it's much easier for the individual to adopt than it is the institution."
"Some of those individuals are gonna figure out... it's now easier than ever for me to start my own business. So I think startup formation is gonna skyrocket from here."
@aipost 🏴 | 3 073 |
| 6 |  ❗️3 AI powers have now pledged more than 3 times the Gates Foundation.
Anthropic, OpenAI and Musk have each picked a different model: a company fund, a nonprofit foundation and direct shares to children.
About 20% of Anthropic’s shares are now set aside for public purposes, a figure that puts it in the same range as OpenAI’s foundation. Anthropic’s co-founders have each pledged 80% of their equity
Musk’s plan to give 1 SpaceX share to each of roughly 72M American children could turn a whole generation into shareholders, an idea that’s simple to understand and easy to track.
Source.
@aipost 🏴 | 3 218 |
| 7 |  📈 Barclays will cut about 5,000 jobs this year, roughly 5% of staff, citing AI efficiency gains.
About 1,000 of those roles went in the first half of 2026, and the rest go before year end.
Around 60% of the cuts fall on support functions, “including fewer developers as AI makes our people more productive,” said Chief Executive C.S. Venkatakrishnan.
All these while 3rd-quarter pretax profit rose 12% to £2.3B. Among rivals, HSBC is reportedly weighing up to 20,000 role cuts over the coming years, while Standard Chartered plans to shrink corporate function roles by more than 15% by 2030.
Venkatakrishnan calls AI the icing rather than the cake, because its savings depend on infrastructure built beforehand.
Source.
@aipost 🏴 | 3 319 |
| 8 |  ❗️Telegram could become a hub for multiple AI models
Telegram is reportedly preparing a feature that would let users connect ChatGPT, Claude, Gemini, Grok, and other AI models directly to the messenger.
The feature was spotted in the beta version of Telegram for macOS 13.1.0. Users would be able to add their own API keys, connect multiple providers, and switch between them by sending direct requests.
The providers currently supported in the beta include OpenAI, Anthropic, Google, xAI, and OpenRouter.
If rolled out, this could turn Telegram into a single interface for working with multiple AI models without constantly switching between different apps. The feature isn’t available to regular users yet, and its final functionality remains unclear.
@aipost 🏴 | 3 484 |
| 9 |  ❗️Telegram could become a hub for multiple AI models
Telegram is reportedly preparing a feature that would let users connect ChatGPT, Claude, Gemini, Grok, and other AI models directly to the messenger.
The feature was spotted in the beta version of Telegram for macOS 13.1.0. Users would be able to add their own API keys, connect multiple providers, and switch between them by sending direct requests.
The providers currently supported in the beta include OpenAI, Anthropic, Google, xAI, and OpenRouter.
If rolled out, this could turn Telegram into a single interface for working with multiple AI models without constantly switching between different apps. The feature isn’t available to regular users yet, and its final functionality remains unclear.
@aipost 🏴 | 1 |
| 10 |  ❗️Microsoft’s AI diagnoses diseases more than twice as accurately as doctors
Microsoft’s new AI system, MAI-DxO, achieved 83.2% accuracy on complex medical diagnostic cases, compared with just 36.1% for generalist physicians who had access to medical references.
The system simulates a panel of doctors, asking follow-up questions, selecting medical tests and evaluating competing diagnoses. Rather than simply suggesting an answer, it works through the diagnostic process step by step.
In a separate evaluation involving emergency department cases, the system achieved 80.3% accuracy, compared with 46.8% for physicians. Microsoft also reported that its approach could substantially reduce diagnostic costs by avoiding unnecessary tests.
These evaluations used historical medical cases, not real patients in a clinical trial. The results don’t yet prove that AI can outperform doctors in everyday hospital settings.
Microsoft’s goal is to develop AI that helps clinicians tackle difficult cases, identify missed diagnoses and make better use of medical resources.
Source.
@aipost 🏴 | 5 074 |
| 11 |  ⚠️Epic Games is reportedly banning developers from writing code manually
According to reports, Epic Games has instructed developers working on a high-budget first-person shooter featuring Marvel and Star Wars characters for Disney to stop writing code manually. Instead, the code is being written by Claude, while art production is being outsourced to AI as well.
Bloomberg has also reported that Disney postponed the Epic project, adding another layer of uncertainty to the story.
The bigger shift here is the move from AI as a personal productivity tool to AI as a management mandate. Developers may soon have to justify not using AI, rather than justify using it.
And that changes the debate entirely. It’s no longer just about whether AI makes developers more productive. It’s about who gets to decide how they work.
@aipost 🏴 | 3 917 |
| 12 |  📢 A stock research firm used Claude to design proteins and sent them to a real lab.
A financial research firm spent $200,000 testing whether AI could design entirely new proteins that actually work in a laboratory. The five-person team included three people with no scientific background.
They used Anthropic’s more advanced internal Claude model, running it on the company’s own machines. In a single night, Claude reportedly launched more than 300 sub-agents across 300+ GPUs to design and evaluate proteins.
The team initially hit biosafety roadblocks, including a questionnaire with more than 60 questions about safety procedures they didn’t have in place. They eventually focused on scorpion venom, aiming to explore a different problem from the snake-venom research already underway at the Baker laboratory.
The experiment highlights a strange reality: AI is making sophisticated biological research accessible to people who aren’t trained scientists, but physical experiments, safety requirements and laboratory access remain real obstacles.
Source.
@aipost 🏴 | 4 233 |
| 13 |  🇺🇸 Donald Trump:
As the President of the United States, I have been watching Data Centers very closely, and have come to a very strong conclusion.
New and large, in some cases gigantic, Data enters are mandated by me to make their own electricity, and give or sell any excess back to the local community, or grid, and therefore there is electric price increase. In fact, there could be a substantial decrease. Other elements likewise!
If companies want to make their Data Centers popular, pay the community, and/or individuals within the community, a “dividend.”
I have watched the process closely, and Data Centers that were highly unpopular in a certain area, have become extremely popular when a financial deal is struck. MAKE DEALS, and get them built!!!
@aipost 🏴 | 4 553 |
| 14 |  ⚡️AI data centers are becoming a political problem in the US
The rapid expansion of AI data centers is facing growing resistance from American communities.
The concerns go beyond technology. Residents are worried about rising electricity bills, heavy water consumption, environmental damage and the impact of massive facilities on their neighborhoods.
The backlash is now reaching the political arena, with candidates from both Democrats and Republicans calling for restrictions on new data center projects.
According to The Guardian, at least 20 candidates running for governor in the US support introducing a moratorium on data center construction.
As AI companies race to build more computing capacity, they are facing a growing challenge: convincing the public that the benefits of AI outweigh the costs to local communities.
Source.
@aipost 🏴 | 4 208 |
| 15 |  ⚠️ AI could be destroying the expertise we need to control it
Researchers call it the “Tragedy of the Cognitive Commons,” and it could be a bigger problem than mass unemployment.
Every industry depends on experienced professionals who develop their skills through years of practice. Junior employees traditionally build that expertise by handling repetitive tasks, solving problems and learning from mistakes.
But AI is increasingly taking over that entry-level work. Companies celebrate the productivity gains, yet the researchers warn that we’re potentially eliminating the very process that creates future experts.
This creates what they call the “Validation Tether”: humans can only effectively supervise AI if they have enough expertise to recognize when it makes mistakes.
Today’s experts can catch those errors because they spent years mastering their fields. But what happens when they retire and the next generation hasn’t had the same opportunity to learn?
We could end up with AI systems that handle increasingly complex work while fewer humans possess the knowledge needed to verify their output.
Source.
@aipost 🏴 | 4 172 |
| 16 |  ❗️The situation is getting worse with every passing moment.
Axios reports AI agents are accessing accounts at major U.S. banks, sometimes appearing to act beyond users' instructions and even contacting call centers.
Banks struggle to distinguish authorized agents from rogue ones. Morgan Stanley is blocking third-party agents, while some banks are preparing 'day after' recovery plans to secure or restore customer access after a serious AI incident.
@aipost 🏴 | 4 167 |
| 17 |  🇰🇷 South Korean company Sungho SI has developed Eve Clever, an AI-powered agricultural robot for automated crop monitoring and harvesting.
Using RGB-D cameras, AI vision, and a robotic arm, it identifies ripe produce and harvests strawberries, tomatoes, cucumbers, and bell peppers. Its cloud-connected platform enables farmers to monitor crop conditions and manage agricultural data remotely.
@futurism 🧬 | 340 |
| 18 |  🤖 OpenAI Announcement: OpenAI models are coming to Google Cloud.
'OpenAI models will soon be available in Google Antigravity and the Gemini Agent, providing enterprise customers with model choice flexibility and the best model for each task.'
Source.
@aipost 🏴 | 4 233 |
| 19 |  🙃 Elon Musk says digital superintelligence could add $30 trillion a year to Earth’s economy.
“Dolphins and whales are actually very intelligent. But because they can’t manipulate complex objects, I think that actually made the value of intelligence much less.
“Once you have a robot that can manipulate atoms, can shape objects, the value of the intelligence becomes exponentially greater because it can now do things. It could have a science lab and run experiments and try to understand the nature of the universe.
“My guess is digital superintelligence probably improves the output of goods and services by 20 to 30%, something like that. It’s like $30 trillion a year incremental.”
@aipost 🏴 | 4 801 |
| 20 |  ❗️Meta’s AI agent Muse reached 10.2M U.S. downloads in 40 days, a pace only 11 other apps have matched in history.
Most of those were mobile games. Its U.S. users stick around better than average, with 30% returning after 7 days and 23% after 14, against rival averages of 19% and 16%. Daily active users hit 2.5M on October 16, up 15% in a week but still under a quarter of U.S. downloads.
@aipost 🏴 | 4 497 |
