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 756 469 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 756 469 subscribers.
According to the latest data from 27 July, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -29 720 over the last 30 days and by -1 121 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 0.83%. Within the first 24 hours after publication, content typically collects 0.53% reactions from the total number of subscribers.
- Post reach: On average, each post receives 6 261 views. Within the first day, a publication typically gains 4 028 views.
- Reactions and interaction: The audience actively supports content: the average number of reactions per post is 709.
- 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 28 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.
756 469
Subscribers
-1 12124 hours
-7 0167 days
-29 72030 days
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Channel Posts
+1
Elon Musk says Neuralink will eliminate the need for sleep by 2028.
@aipost 🏴
| 2 |  🤖 Anthropic explains why it still won’t release frontier open-weight AI models
While much of the AI industry is rallying behind open-weight models, Anthropic is holding its ground.
The company says today’s most powerful AI systems are becoming capable enough that releasing their weights could make it much easier for bad actors to build dangerous cyber, biological, or autonomous attack tools. Instead of full public releases, Anthropic argues for controlled access through APIs, where safety measures can be monitored and updated.
At the same time, Anthropic says it isn’t against open-weight AI. It supports open research and believes open-weight models have an important role in innovation. The company says it may release open-weight models in the future but only when they can be deployed with what it considers adequate safety protections.
@aipost 🏴 | 2 323 |
| 3 |  OpenAI research shows that 43.5% of occupation-specific ChatGPT messages from U.S. business users related to tasks typically handled by a different profession. This indicates users are leveraging the model to address specialist work outside their primary field.
Financial calculations and computer troubleshooting were among the top three most common tasks handled beyond users’ professions in all groups. Marketing-related tasks also appeared frequently across various occupations.
The data captured messages within ChatGPT Business, not finished work, so it does not measure quality, productivity, or impact on jobs.
Researchers note that, especially in small businesses, employees often solve problems outside their usual roles. AI is emerging as a versatile support tool across different functions.
📰 @aipost | 2 796 |
| 4 |  A new milestone has been reached in the open source AI space. Open models from China are now outperforming recently released competitors, such as Opus 4.8, just two months after their debut.
Kimi K3, now holding the top spot among open weights models at 57 in the Artificial Analysis Intelligence Index, has made its weights publicly available. The 2.6T parameter model, released under the 'Kimi K3 License,' is labeled as 'Commercial Use Restricted.'
This licensing means businesses offering model-as-a-service solutions with over $20 million in annual revenue must seek additional agreements. Products exceeding 100 million monthly active users or generating $20 million in monthly revenue must clearly display "Kimi K3" in their user interface.
A technical report outlining the model's architecture and training methods has also been released.
📰 @aipost | 3 107 |
| 5 |  🧠 Demis Hassabis says DeepMind had no choice but to sell.
Before AI became a trillion-dollar race, DeepMind was struggling to survive. Demis Hassabis says he realized staying independent would require $7 billion in funding.
The problem? They could barely raise $10 million at a time. After DeepMind’s breakthrough Atari demos, Big Tech started aggressively recruiting its researchers.
They had no product, no revenue, and were focused entirely on building AGI. Hassabis says he paid himself nothing, while engineers earning around $100,000 a year were suddenly receiving offers of $10 million… or even $50 million annually.
At that point, competing as an independent company became almost impossible. That’s why DeepMind joined Google in 2014. Looking back, it wasn’t just a business decision.
It was a reminder that building frontier AI has always been as much about capital and talent as it is about breakthrough research.
@aipost 🏴 | 3 216 |
| 6 |  🇨🇳🇺🇸Beijing is hitting back at Washington’s threats to investigate and punish Chinese AI firms...
China’s Commerce Ministry labeled the U.S. approach as “AI hegemonism” and warned it will take all necessary countermeasures if restrictions are imposed.
The dispute centers on allegations that companies like Moonshot AI improperly extracted advanced American AI models to power their own systems.
Chinese authorities and the companies reject these accusations, insisting their advances are the result of independent research and innovation.
@aipost 🏴 | 3 290 |
| 7 |  +1❗️Microsoft says it takes "18 months to build a data center but 8 years to get a grid connection" in Britain.
It was revealed that Britain has just 2GW of data center capacity, a third of America's per person.
The UK hopes to reach 6GW by 2030 while America targets over 90GW, per The Economist.
@aipost 🏴 | 3 517 |
| 8 |  +2China has launched mass production of deep ultraviolet (DUV) lithography machines for the first time.
According to available information, the country plans to produce five DUV units this year and increase output to 20 units in the following year. DUV lithography is key for advanced semiconductor manufacturing, a sector historically dominated by ASML, which previously held an effective monopoly.
The announcement has had an immediate impact on global chip equipment stocks. ASML shares dropped by 8.3%, ASM International by 7.3%, BE Semiconductor by 9.9%, Applied Materials by 6.7%, and Lam Research by 7.9%.
📰 @aipost | 3 807 |
| 9 |  ❗️Satya Nadella just picked a side in AI’s biggest debate.
Microsoft says open-weight AI models are critical to keeping America competitive.
Here’s why:
If only a handful of companies own the most powerful AI models, they also control the prices, access, infrastructure, and ultimately the future of AI.
Open-weight models flip that equation.
Developers can download them, customize them, run them on their own hardware, and build products without relying on a single AI provider.
Of course, that comes with security risks.
But Microsoft argues that putting the future of AI in the hands of just a few closed labs could be an even greater danger.
Source.
@aipost 🏴 | 3 781 |
| 10 |  🗣 Sam Altman reveals he flew to 28 countries in 35 days after GPT-4 launched because world leaders were asking whether to shut AI down, and ended the trip waking up convinced he was back in his childhood bed.
“Three years ago we had just launched GPT-4. The world was melting down. Everybody was freaking out.”
“World leaders were like, do we need to take control and shut things down? Is this thing waking up?”
“I think we did 28 countries, 35 days. I lived on an airplane.”
“By the end of it, the last few days, I started having this vision, feeling, whatever, of being in my childhood bed. I would sort of vaguely wake up and I would think I was in my childhood bed in my childhood room. And I was like, okay, this is some deep ‘it’s time to go home’ thing.”
@aipost 🏴 | 4 138 |
| 11 |  🥺 ChatGPT faces another major lawsuit over medical advice
OpenAI and CEO Sam Altman are being sued after a U.S. pastor claimed ChatGPT downplayed symptoms of a life-threatening pulmonary embolism and discouraged him from seeking medical care.
The lawsuit argues ChatGPT crossed into practicing medicine without a license and calls for its health features to be suspended until they’re independently verified as safe.
OpenAI says ChatGPT isn’t meant to diagnose or treat medical conditions, but the case adds to growing legal scrutiny over the chatbot’s health advice.
Source.
@aipost 🏴 | 4 366 |
| 12 |  Prompt engineering
@aipost 🏴 | 4 393 |
| 13 |  🎤 ChatGPT voice is becoming your computer’s AI command center
OpenAI has upgraded ChatGPT Voice from a voice assistant into a hands-free control system for your computer.
Powered by GPT-Live, the feature lets you talk naturally while ChatGPT launches tasks, monitors progress, and coordinates multiple AI agents running across ChatGPT Work and Codex. Your conversation continues while those agents work in the background, and ChatGPT can explain what’s happening, report results, and take new instructions, all without sending you back to the keyboard.
On macOS, it goes even further. ChatGPT can understand the app currently on your screen using screen context, and after pairing your iPhone with your Mac, you can leave your desk and continue managing tasks remotely with your voice.
The update is rolling out globally for Plus, Pro, Business, Edu, and Enterprise users on both macOS and Windows.
@aipost 🏴 | 4 183 |
| 14 |  Japan just experienced its first AGI moment. An autonomous fighting robot tried to runway from a cage fight. Surreal.
@aipost 🏴 | 4 144 |
| 15 |  📈 The market says AI is the future… but Oracle’s stock tells a different story.
Oracle has lost 63% of its value from the peak, wiping out nearly $500 billion in market cap.
Yet the company isn’t slowing down.
It’s spending $55 billion every year building AI data centers, the infrastructure powering the next wave of models and AI applications.
To make that happen, Oracle has taken on $167 billion in debt, almost double what it owed just two years ago.
This isn’t a small experiment. It’s one of the biggest corporate bets on AI infrastructure ever made.
@aipost 🏴 | 4 941 |
| 16 |  ❗️Elon Musk explains why AI and robots are the future of the economy?
“You can think of the economy as digital and physical intelligence. AI is advancing very rapidly, but it is still somewhat confined to the digital realm. You need end effectors in the form of humanoid robots. Then you can go from intelligence manifesting itself digitally to shaping atoms. An economy is the production of goods and the provision of services. If you have vast numbers of robots with vast amounts of digital intelligence, you have a quasi-infinite economy.”
@aipost 🏴 | 4 495 |
| 17 |  Harry Pothead. Remember when AI vids were like this? It was 2023, only 3 years ago 🤯
Robots & Art🌈 | 4 452 |
| 18 |  🗣Kimi CEO: "AI is Accelerating Faster Than Ever. A new Scaling Era has Begun."
- AI is improving in two dimensions, vertical scaling and horizontal scaling.
- Reasoning has advanced dramatically. AI now solves complex math and coding tasks that were nearly impossible just a year ago.
- Context windows have exploded from roughly 4K to 8K tokens to 128K+ tokens, allowing models to understand far longer documents and conversations.
- Progress is no longer driven only by larger models. Better post-training, reinforcement learning, higher-quality data and inference-time reasoning are now accelerating capabilities.
- Multimodal AI is advancing rapidly. Systems can now generate videos, transform research papers into realistic podcasts and seamlessly work across text, images, audio and video.
- OpenAI's o1 introduced a new paradigm. Experts described it as AI demonstrating System 2 reasoning, enabling deliberate thinking, self-correction, exploration of multiple solution paths, and reflection.
- A new scaling law has emerged. Beyond pre-training, reinforcement learning and inference-time search now provide another predictable path for improving intelligence.
- AGI has entered a new stage. According to Professor Ju Jun's framework, AI has moved from L1 Chatbots toward L2 Reasoners, representing a major qualitative leap.
- Zhilin Yang (CEO of Kimi): "The most important significance is that it raises the upper limit of what AI can achieve."
- Professor Ju Jun: "The progress curve is getting steeper and steeper."
- Industry experts: "We're in the middle of an acceleration process, and the pace of AI development is still increasing."
@aipost 🏴 | 7 310 |
| 19 |  +2🇨🇳 Xi Jinping's tech czar warned Chinese AI companies that anyone who resisted using domestic chips is "a traitor," per WSJ.
China has cut its dependence on foreign AI chips from 90% in 2021 to under 60% by 2025, with plans to reach 25% by 2030.
Huawei says it will ship 1.5 MILLION AI chips this year, doubling its 2025 volume.
@aipost 🏴 | 5 064 |
| 20 |  Boris Cherny has contributed significantly to software development this year with the assistance of Claude Code. Since November of last year, Cherny reports that all of his code has been written using Claude Code, following the launch of Opus 4.5.
During this period, Cherny has merged about 1,700 pull requests, added 400,000 lines of code, and removed 250,000 lines. In addition, he has used 8 billion tokens while coding, noting that much of his programming activity now occurs on his mobile phone.
📰 @aipost | 4 566 |
