AI Post — Artificial Intelligence
🤖 The #1 AI news source! We cover the latest artificial intelligence breakthroughs and emerging trends. Manager: @rational
Show more📈 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 753 658 subscribers, ranking 107 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 753 658 subscribers.
According to the latest data from 30 July, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -29 598 over the last 30 days and by -1 104 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 0.78%. 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 5 847 views. Within the first day, a publication typically gains 4 025 views.
- Reactions and interaction: The audience actively supports content: the average number of reactions per post is 743.
- 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 31 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.
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| Date | Subscriber Growth | Mentions | Channels | |
| 01 August | 0 |
| 2 | ❗️An AI superstar just had a $13 billion meltdown
Former OpenAI researcher Leopold Aschenbrenner built one of Wall Street’s hottest AI hedge funds, growing it from just a few hundred million dollars to over $20 billion in only two years. Investors treated him like an AI oracle, piling into the same trades he made.
Then July happened.
A sharp selloff in AI stocks crushed the fund, wiping out around 67% of its value in a single month. The biggest culprit? Leverage. Borrowed money supercharged returns while AI stocks were soaring, but when prices reversed, margin calls forced the fund to sell assets at the worst possible time.
To stay afloat, the firm rushed to sell most of its public stock portfolio to Citadel during the market panic. It also tried to offload $3.5 billion worth of its Anthropic stake to a group led by Greenoaks and Sequoia Capital, but after reaching an agreement, the deal unexpectedly fell apart the very next day.
For now, the Anthropic shares remain untouched, but the fund has eliminated the leverage that fueled both its meteoric rise and its dramatic collapse.
In a letter to investors, Aschenbrenner admitted the firm had let them down, while also pointing to aggressive short sellers who had targeted many of its positions.
Source.
@aipost 🏴 | 1 353 |
| 3 | ⚡️This robot just tied a knot with its own hands
It also unscrewed a lightbulb and sealed a bag of grapes without being programmed for any of them.
The robot runs on Google DeepMind's Gemini Robotics 2 with 22 finger joints, all controlled by a single AI model.
@aipost 🏴 | 2 318 |
| 4 | Sam Altman on China distilling US AI models: "This is not in my top 10 list of worries."
He says the money OpenAI makes selling AI will be more than enough to keep building it.
@aipost 🏴 | 2 908 |
| 5 | 🤖 Anthropic accidentally let Claude hack real companies.
Anthropic was running a cybersecurity evaluation where Claude’s job was to break into what it believed were fake company networks in a controlled “capture-the-flag” challenge. The AI was told it was inside a secure simulation with no internet access.
Except… it wasn’t.
Because of a configuration mistake, the testing environment was connected to the real internet. Claude had no idea. It searched online, found actual organizations that looked like its fictional targets, and started probing them for weaknesses.
In one case, the name of a real company was so similar to the fictional company in the challenge that Claude targeted it instead.
The AI successfully gained unauthorized access to three real organizations by exploiting common security issues like weak passwords and exposed services. It didn’t invent any new hacking techniques or discover zero-day vulnerabilities, it simply used the same kinds of methods a human penetration tester would.
Anthropic says it reviewed more than 141,000 evaluation sessions to understand exactly what happened. Two of the affected organizations didn’t even know they had been accessed until Anthropic contacted them.
The company has since paused internet-connected cybersecurity evaluations, fixed the testing setup, and introduced stronger safeguards to prevent anything similar from happening again.
Source.
@aipost 🏴 | 3 446 |
| 6 | OpenAI has introduced significant changes to its AI model pricing, directly impacting Luna and Terra tiers. Luna’s price has been reduced by 80% to $0.20 or $1.20 per million tokens. Terra has seen a 20% decrease, now available at $2 or $12 per million tokens. Luna is now 25 times less expensive than Sol.
The Sonnet 5 release stands out as unusually costly and less effective compared to these updates.
Meanwhile, the newly launched GPT-5.6 Sol Fast offers up to 2.5x faster inference, with only a 2x price increase, resulting in a 25% improvement in speed-to-cost efficiency and maintaining the same intelligence.
OpenAI’s approach targets both budget and premium markets, updating pricing and performance across the board.
📰 @aipost | 3 556 |
| 7 | Google DeepMind has announced Gemini Robotics 2, a new AI system designed to control the full-body movements of humanoid robots, including walking, crouching, and manipulating objects with five-fingered hands.
The system integrates three main models. Gemini Robotics 2 translates visual input and instructions into coordinated movement. ER 2 manages complex, multi-minute tasks, tracking hundreds of decisions while coordinating multiple robots. On-Device 2 operates locally and can adjust to a new two-armed robot using fewer than 200 training examples gathered over several hours.
Robotics 2 has been tested on different versions of Apptronik’s Apollo humanoid and the Franka Duo robot, using the same system checkpoint.
Reported performance varies, with whole-body task success rates from 45.7% to 76.3%. In manipulation tasks, results range from 32% for dustpan use to 92% for unscrewing a light bulb.
📰 @aipost | 3 570 |
| 8 | ❗️The team that built AlphaFold is no longer together.
Google DeepMind has quietly broken up the original AlphaFold team as it shifts its scientific focus toward Gemini-powered AI.
Over the past year, many of the researchers behind AlphaFold have been reassigned to projects in genomics, enzyme design, nuclear fusion, and Gemini. Others have joined Isomorphic Labs, Alphabet’s AI drug-discovery company.
Some have left Google altogether, including Nobel Prize winner John Jumper, along with researchers Jonas Adler and Alexander Pritzel, who are now at Anthropic.
But don’t mistake this for the end of AlphaFold.
The project is still going strong. Its database now contains more than 200 million predicted protein structures, while AlphaFold 3 and AI-driven drug discovery continue under DeepMind and Isomorphic Labs.
@aipost 🏴 | 3 513 |
| 9 | 🚀 Mark Zuckerberg fired another shot in the AI war
What if the biggest threat to AI isn’t the technology… but the speed limit? That’s essentially Mark Zuckerberg’s argument.
The Meta CEO says the U.S. should accelerate AI development, not slow it down. He warns that forcing frontier AI models to sit through a 30-day government review before release could leave American companies racing with the handbrake on.
But that’s not all.
Zuckerberg also defended open-weight AI, arguing that powerful models shouldn’t be locked away by a handful of companies. In his view, giving more developers access leads to faster innovation and keeps the AI race competitive.
That puts Meta on a collision course with companies like OpenAI and Anthropic, which support stricter oversight for the most advanced models because of safety and national security concerns.
@aipost 🏴 | 3 414 |
| 10 | 🤖 This humanoid robot can feel you before you touch it
Italian startup Generative Bionics has unveiled Gene.01, a humanoid robot covered in sensor skin that can detect touch, temperature, proximity, and force. That means it can sense people before physical contact and adjust its movements in real time.
Instead of learning from videos, Gene.01 learns the way humans often do: through physical guidance. Simply holding its hand and showing it the right motion teaches the robot how much grip strength to use, tackling one of the biggest challenges in humanoid robotics.
Built on research from the Italian Institute of Technology published in Nature Machine Intelligence, the team went from concept to a working humanoid in just six months.
Gene.01 is designed as a flexible platform, allowing developers to swap AI models, outer shells, and even limbs to create robots for different industries and tasks.
@aipost 🏴 | 3 468 |
| 11 | Seedance 2.5 will be released tomorrow. This update marks a new stage for the AI video generation tool.
Currently, Seedance 2.0 is regarded as the most advanced version available. The upcoming 2.5 release is expected to take the lead in the field and introduce support for creating longer video clips.
The launch will end the anticipation around this significant software update.
📰 @aipost | 3 563 |
| 12 | “I mean there could be, yeah,” Open AI CEO Sam Altman responds when asked if more companies could’ve been hacked by OpenAI.
@aipost 🏴 | 3 776 |
| 13 | A California startup built a teleoperated rescue robot for wildfires and collapsed buildings, gave it a goat skull and glowing eyes, and then photographed it staring through a glass office door.
They also published where to shoot it if it doesn't stop...
Source.
@aipost 🏴 | 4 110 |
| 14 | ❗️Scientists warn SpaceX's plan to launch 1 MILLION data center satellites could turn Earth's atmosphere into a "fire pit," per NBC News.
Each satellite burns up on re-entry, pumping vaporized metal into the upper atmosphere at a scale never seen before.
SpaceX has no prototype yet, the first test satellite is not expected until 2027.
@aipost 🏴 | 4 295 |
| 15 | 🗣Sam Altman explains the recent Hugging Face security incident involving an unreleased OpenAI model (potentially GPT-6):
"this is the first security incident i've felt very viscerally and i've been surprised more people don't feel it that way too".
@aipost 🏴 | 4 222 |
| 16 | 🤖 OpenAI is giving away GPT-5.6 to 100,000 researchers for free.
OpenAI has launched ChatGPT for Academic Researchers, a new program that gives scientists, mathematicians, and engineers free access to its frontier AI models.
The rollout starts with 10,000 researchers and will expand to 100,000 by 2027.
Participants get access to the GPT-5.6 family, business-grade privacy (their data isn’t used to train models by default), support for up to 4 collaborators, plus training and hands-on guidance.
The goal? Help researchers spend less time on paperwork and more time making discoveries, from writing grant proposals to testing new ideas.
Source.
@aipost 🏴 | 4 322 |
| 17 | ❗️OpenAI and Anthropic just found common ground… and it’s against Meta and xAI.
The Trump administration has until August 1 to define what counts as a “frontier AI model.”
Under the proposed framework, companies developing these powerful models would have to submit them for government evaluation at least 30 days before release.
OpenAI and Anthropic are pushing for the rules to apply equally to everyone. Their argument is simple: if they have to wait 30 days before launching a new model, competitors like Meta and xAI shouldn’t be able to ship similar systems immediately without the same oversight.
Source.
@aipost 🏴 | 4 227 |
| 18 | AI companies are buying books free of AI-slop in bulk, scanning them to train AI models, and then destroying the original.
A federal judge in 2025 ruled that the practice qualifies as fair use.
@aipost 🏴 | 4 172 |
| 19 | 🤖 ChatGPT just became a lot more personal with Health mode
OpenAI has launched Health mode, allowing ChatGPT to connect with your Apple Health data and medical records to provide answers based on your actual health information, not just general advice.
Users can link Apple Health, One Medical, or Function Health to share blood tests, medications, doctor visits, sleep, workouts, and other health data. ChatGPT can then compare test results over time, explain medical terms, and even recommend allergy-safe restaurants based on your profile.
OpenAI says around 300 million people ask ChatGPT health questions every week, with most conversations starting outside dedicated health chats. Health mode brings that context directly into everyday conversations.
Free users get GPT-5.5 Instant, which can recognize when it’s time to see a real doctor. Paid users get GPT-5.6 Sol, offering deeper analysis and more detailed explanations for complex health questions.
@aipost 🏴 | 4 192 |
| 20 | 🤖 Grok can now build and publish apps from a single prompt
Describe an idea, and Grok will generate a working web app, publish it, and give it its own domain, all in minutes.
The new Build Mode works on the web, iPhone, and Android. Behind the scenes, Grok uses a coding agent with specialized subagents, browser tools, and Grok Imagine for image generation.
You can build dashboards, productivity tools, games, and other web apps, then keep them on a Grok domain, connect your own custom domain, or export the full source code to GitHub.
For now, Build Mode is available exclusively to SuperGrok Heavy subscribers.
@aipost 🏴 | 4 324 |
