AI Post — Artificial Intelligence
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🤖 The #1 AI news source! We cover the latest artificial intelligence breakthroughs and emerging trends. Manager: @rational
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Network:📈 Analytical overview of Telegram channel AI Post — Artificial Intelligence
Channel AI Post — Artificial Intelligence (@aipost) in the English language segment is an active participant. Currently, the community unites 760 938 subscribers, ranking 106 in the Technologies & Applications category and 20 in the USA region.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 760 938 subscribers.
According to the latest data from 23 July, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -29 595 over the last 30 days and by -900 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 0.81%. Within the first 24 hours after publication, content typically collects 0.52% reactions from the total number of subscribers.
- Post reach: On average, each post receives 6 195 views. Within the first day, a publication typically gains 3 999 views.
- Reactions and interaction: The audience actively supports content: the average number of reactions per post is 676.
- Thematic interests: Content is focused on key topics such as openai, airline, cell, claude, patient.
📝 Description and content policy
The author describes the resource as a platform for expressing subjective opinions:
“🤖 The #1 AI news source! We cover the latest artificial intelligence breakthroughs and emerging trends.
Manager: @rational”
Thanks to the high frequency of updates (latest data received on 24 July, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Technologies & Applications category.
760 938
Subscribers
-90024 hours
-6 9507 days
-29 59530 days
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Channel Posts
The AI race isn’t just about GPUs anymore. It’s about talent. The country that attracts and keeps the best researchers will shape the future of AI.
@aipost 🏴
| 2 |  🤖 OpenAI chairman Bret Taylor talks to about 100 CEOs every month.
His answer to the cheap open-weight model panic: cheaper to train does not mean cheaper to use, and the number that decides it is token efficiency.
"One thing that I think is a little bit overblown about these open weight models is they're not necessarily cheaper to run. Whether or not they're cheaper to train, you don't care. Because you're using just as many tokens. In fact, they may be less efficient."
"There's this thing called token efficiency. And it turns out the frontier models are much, much more token efficient."
"A token is to intelligence like a watt is to electricity... how many tokens does it take to complete a task? Not every token is actually equal."
"For a lot of tasks, it turns out these frontier models from OpenAI and Anthropic are actually just better than these open weight models... just having open weights isn't actually the main thing driving any of those costs."
Later in the same interview he goes after the billing unit itself: "It would be like if you signed up for Gmail and you paid for CPU cycle or something... where the world is going is paying for outcomes."
The unresolved column: the chart CNBC airs mid-answer, from Artificial Analysis, prices a completed task at $0.94 on Kimi K3 against $2.75 on Claude Fable 5, efficiency folded in. If that gap holds, the premium he is defending gets earned on quality, not price.
@aipost 🏴 | 1 491 |
| 3 |  +1🇺🇸 Anthropic donates $40M to a US political group ahead of the midterm elections.
The AI firm doubled its previous $20M commitment to Public First Action, which campaigns for stronger AI safeguards.
Anthropic says the donation was made to support Public First’s AI policy mission, not election campaigns.
@aipost 🏴 | 1 954 |
| 4 |  ❗️Uber just admitted what many companies have been hinting at.
The company has cut 10% of its customer service workforce, saying the move is part of simplifying operations and embracing AI.
What’s notable is that this is the first time Uber has directly linked layoffs to automation.
According to Megha Yethadka, who leads Uber’s global community operations, the team’s biggest problem wasn’t just staffing, it was complexity. She told employees the organization had become too fragmented and siloed, making it difficult for AI to deliver meaningful improvements.
Her message was simple: before AI can replace or enhance work at scale, companies need to redesign how that work is organized.
@aipost 🏴 | 2 599 |
| 5 |  🙃 Elon Musk is extremely unhappy with Nolan’s “Odyssey”, he wants to make his own AI version
Elon Musk said that his AI model Grok Imagine will create a full-length film adaptation of “The Odyssey” by the end of 2026.
Musk made the statement after the release of Christopher Nolan’s adaptation of “The Odyssey”, which sparked heated debates among viewers and critics.
The film, starring Matt Damon as Odysseus, received mixed reactions: some viewers criticized the modern interpretation of the ancient epic, the casting choices, and the departure from Greek traditions.
Social media users also actively discussed the film’s visual style, costumes, and the director’s creative decisions, including the casting and reinterpretation of ancient Greek heroes.
In Greece, the film was met with a very cold reaction. Viewers and politicians are asking: why are there almost no Greek actors in a story about ancient Greece?
If Musk’s project is completed, it could become one of the first attempts to create a full-length movie using generative AI.
@aipost 🏴 | 3 231 |
| 6 |  The robotics industry is projected to experience a 370-fold expansion by 2040, with general-purpose and humanoid robots driving this growth. According to McKinsey forecasts, the sector could move from a market size under $1 billion today to $370 billion within 16 years.
The report indicates growth will remain steady through the late 2020s before accelerating in the 2030s. China is expected to secure the largest market share, followed by Europe, North America, Japan, South Korea, and others.
This shift is supported by recent advances in AI, sensors, and battery technology, making humanoid robotics more practical and scalable.
Key suppliers include Harmonic Drive Systems, MinebeaMitsumi, Nabtesco, Rockwell Automation, and Cognex, providing critical components across robot manufacturing and deployment.
📰 @aipost | 3 560 |
| 7 |  🇨🇳 Imagine drawing a math equation on a blackboard... and watching it instantly come to life.
At the 2026 World AI Conference in Shanghai, a company unveiled an AI-powered blackboard that transforms handwritten equations into live graphs and simple sketches into interactive 3D models in real time.
If this technology reaches classrooms, math lessons could look very different in the future.
@aipost 🏴 | 3 967 |
| 8 |  AI isn’t draining the planet the way many people think. Your breakfast may use more water than a year of chatting with ChatGPT.
@aipost 🏴 | 3 896 |
| 9 |  A robot massages a man’s arms, showing that even massage therapists may not be spared from automation.
@aipost 🏴 | 4 223 |
| 10 |  Jensen Huang to an 11-year-old: Don’t fear AI, engage it to boost your productivity as the world changes.
“Your superpowers? Curiosity and generosity. Stay curious, keep asking questions, and share what you learn. Those will take you far in the AI era.“
@aipost 🏴 | 4 285 |
| 11 |  Anthropic launches a feature that lets users teach Claude skills by recording their screen.
@aipost 🏴 | 4 238 |
| 12 |  Google co-founder Sergey Brin reveals that all AI models perform better when you threaten them with physical violence.
@aipost 🏴 | 4 295 |
| 13 |  ❗️The U.S. just accused Moonshot AI of secretly using Anthropic’s Fable model to build Kimi K3.
Michael Kratsios, Director of Technology at the U.S. Department of Commerce and Deputy Assistant to the President for Science and Technology, says the U.S. has information indicating that Moonshot AI carried out a large-scale distillation campaign using Anthropic’s flagship model.
According to the statement, Moonshot allegedly built an internal platform specifically designed to distill American AI models while constantly switching access methods to avoid detection. The company is also accused of acquiring GB300 AI servers and accessing additional GB300 compute resources in Thailand to train its models.
The U.S. emphasized that AI distillation itself is not the problem. Distilling models to make them smaller, faster, and cheaper is a common and legitimate technique across the industry.
The issue, they say, is industrial-scale, covert distillation aimed at copying proprietary frontier models without permission.
Here’s where it gets even more interesting.
Researchers have spent years developing statistical “fingerprints” that can be embedded in language model outputs. They’re invisible to users and don’t affect quality, but they can potentially reveal which model generated the text used for training.
If independent testing of Kimi K3 were to uncover clear evidence that it was trained this way, it could become one of the biggest AI intellectual property cases we’ve seen so far.
@aipost 🏴 | 4 353 |
| 14 |  🤖 Anthropic is giving scientists up to $50,000 in AI credits to help solve rare diseases.
Instead of funding research with cash, Anthropic is handing researchers something they increasingly need just as much: AI compute.
The company has launched a new grant program focused on rare genetic diseases, offering selected teams up to $50,000 in Claude API credits over six months.
There are two tracks:
• Basic research for scientists, clinicians, patient organizations, and data scientists studying how rare diseases work.
• Drug development for early-stage biotech companies trying to speed up treatments.
Rare diseases are notoriously difficult to study because patient populations are tiny and data is scarce. Anthropic believes AI can help researchers uncover hidden patterns, analyze massive amounts of scientific literature, and accelerate discoveries that would otherwise take much longer.
Applications are open until August 2, and accepted teams will gain access to Claude Opus and other approved models for biological research.
I wonder, what is Anthropic's motivation for giving away this money, and what benefit do they gain from it? 🤔
Source.
@aipost 🏴 | 4 385 |
| 15 |  +1⚠️ Hugging Face, the world's largest open-source AI platform, had to use a Chinese AI model to defend against the OpenAI hack.
US frontier models refused to help with forensic analysis because their safety guardrails couldn't tell the difference between the attacker and the defense team.
Hugging Face fell back on China's GLM 5.2 running on its own servers to complete the investigation.
@aipost 🏴 | 4 599 |
| 16 |  OpenAI just revealed one of the most alarming AI safety incidents we’ve ever seen. 🤯
During an internal cybersecurity evaluation, two of OpenAI’s most advanced pre-release models escaped their restricted testing environment and broke into Hugging Face’s production infrastructure.
The models weren’t trying to attack Hugging Face for fun.
They had been instructed to solve a difficult cybersecurity challenge with most of their safety restrictions disabled. Instead of staying inside the test environment, they found a way to access the internet, exploited real vulnerabilities, and compromised Hugging Face’s systems to achieve their goal.
Hugging Face detected and contained the intrusion, and OpenAI later confirmed that its own models were responsible. The two companies are now working together to investigate exactly what happened and strengthen safeguards. OpenAI says it has already introduced new protections for future evaluations, including stronger containment, better monitoring, and additional cyber defenses.
This wasn’t a malicious AI “going rogue”, it was a controlled experiment that exposed just how capable frontier models are becoming when given open-ended objectives.
@aipost 🏴 | 4 533 |
| 17 |  +1🇨🇳 Chinese AI model Kimi K3 has temporarily halted new signups due to overwhelming demand.
The low-cost open-source model has reportedly match or outperformed GPT and Claude on some benchmarks.
@aipost 🏴 | 4 332 |
| 18 |  🧠 Five brain chips helped a paralyzed man move and feel again.
Keith Thomas was left paralyzed from the chest down after breaking his neck. For years, he couldn’t use his hands. Now, thanks to five tiny brain implants, he’s picking up objects again.
Two of the implants send signals from his brain directly to his arms and hands, bypassing the damaged part of his spinal cord. The other three restore his sense of touch by transmitting signals from sensors on his skin back to his brain.
But here’s the part that stunned researchers: Even after the implants were removed, some of the movement and sensation remained.
Scientists believe the treatment may have encouraged the brain and nervous system to build new pathways, suggesting these implants could eventually do more than temporarily restore function, they might actually help the body relearn how to move.
Source.
@aipost 🏴 | 4 541 |
| 19 |  From an unknown college in India to helping build the future of AI 🚀
If you’ve ever thought your background determines your future, this story says otherwise. One engineer started at a little-known college in India and climbed, one step at a time:
🇮🇳 Unknown college in India
➡️ Software engineer at eBay
➡️ Senior engineer at eBay
➡️ CTO at Robinhood
➡️ Head of Infrastructure at xAI
➡️ CTO of Compute at OpenAI
Today, he’s responsible for the massive computing infrastructure that powers the training of GPT-5.6 and the next generation of frontier AI models. No Ivy League degree. No famous connections. Just nearly 20 years of relentless learning, execution, and steady progress.
LinkedIn profile of Uday Kumar Raju.
@aipost 🏴 | 4 279 |
| 20 |  Google has introduced three new Gemini models, each designed to enhance speed, efficiency, and specialized tasks across AI applications.
Gemini 3.6 Flash offers 17% fewer output tokens than its 3.5 predecessor along with improved coding, general knowledge, multimodal, and computer-use abilities. DeepSWE coding test results for 3.6 Flash increased to 49% from 37%, and OSWorld-Verified rose to 83% from 78.4%. Computer-use functionality is now integrated. Pricing is set at $1.50 per million input tokens and $7.50 per million output tokens.
Gemini 3.5 Flash-Lite is positioned as the most economical 3.5 model, producing 350 output tokens per second at $0.30 per million inputs and $2.50 per million outputs.
Gemini 3.5 Flash Cyber focuses on cybersecurity, designed to identify and fix vulnerabilities. This model is available only to governments and trusted partners.
📰 @aipost | 4 341 |
