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 688 677 subscribers, ranking 112 in the Technologies & Applications category and 19 in the USA region.
📊 Audience metrics and dynamics
Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 688 677 subscribers.
According to the latest data from 08 October, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -24 141 over the last 30 days and by -602 over the last 24 hours, overall reach remains high.
- Verification status: Not verified
- Engagement rate (ER): The average audience engagement rate is 0.82%. Within the first 24 hours after publication, content typically collects 0.57% reactions from the total number of subscribers.
- Post reach: On average, each post receives 5 636 views. Within the first day, a publication typically gains 3 938 views.
- Reactions and interaction: The audience actively supports content: the average number of reactions per post is 1 065.
- 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 09 October, 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.
688 677
Subscribers
-60224 hours
-5 4507 days
-24 14130 days
Posts Archive
🇺🇸 President Trump declared on Thursday that anyone who says “Artificial Intelligence” instead of “Super Intelligence” is “THE ENEMY!” (even as own White House still uses “AI.”). Time to get used to Super Intelligence I guess.
@aipost 🏴
🗣Jeff Bezos BACKS President Trump’s plan to change Artificial Intelligence to Super Intelligence.
Bret Baier: “The president says SI. Are you into SI?”
Jeff Bezos: “I do like SI because artificial is not a very flattering thing. Nobody wants an artificial sweetener or artificial flavoring.”
Bret Baier: “Isn't Super Intelligence a little scary?”
Jeff Bezos: “Artificial means fake. It's a big road to change everybody getting to say Super Intelligence only because they're so used to AI at this point… but I do understand the desire to get away from the word artificial.”
@aipost 🏴
+1
❗️The AI domain war has officially begun
OpenAI, Google and Meta are now fighting over some of the most valuable AI-related internet domains.
ICANN received 1,615 applications from 481 applicants in its first new domain expansion since 2012. OpenAI applied for 15 domains, including .agent, .agi, .asi, .chatgpt, .gpt, .mcp, .model and .openai.
Google went even bigger with 39 applications, including .agent, .mcp, .gemini, .deepmind and .api. Meta submitted 18, including .agent, .llama, .metaai and .superintelligence.
Some strings are already crowded: .agent has 13 applicants, .agi has 7, and .mcp has 5. Interestingly, Anthropic, which created MCP didn’t apply for .mcp at all.
Anthropic only applied for .anthropic and .claude, while Microsoft went for .copilot and .msft.
Each application costs $227,000, and contested domains can become extremely expensive. Google previously paid $25 million for .app.
The process could continue until 2030, and none of these domains has been awarded yet.
@aipost 🏴
Here are my picks for Premier League Matchweek 6. Make yours here 👇
ChatGPT in 2023: "wait, it can actually talk back?"
ChatGPT now: "wait, the interface can become whatever I need?"
@aipost 🏴
+2
❗️Anthropic says: be nice to Claude
Anthropic’s new global usage policy bans weapons development, mass surveillance and political psyops.
It also bans “abusive or cruel behavior” toward Claude.
Yes, Claude can apparently end the conversation if you’re being too mean.
Dario Amodei has said Anthropic doesn’t know whether Claude is conscious. Now the company’s policy is basically: just in case… behave yourself.
Anthropic can warn, throttle, limit, suspend or terminate access over violations. Though government use gets some restrictions “tailored” to the situation.
@aipost 🏴
+1
❗️AI is starting to trigger a backlash in mathematics
OpenAI’s release of 722 AI-generated mathematics manuscripts is already causing a backlash among some mathematicians.
The Association for Human Mathematics (AHM) criticized the release and urged mathematicians to “discontinue their work with OpenAI.” Terence Tao also reposted the AHM statement on his blog.
The debate is bigger than whether AI-generated proofs are good or bad. If AI can increasingly produce serious mathematical results, the field now has to figure out how to verify, publish and evaluate them.
Walking away from the technology doesn’t resolve that question. The more interesting challenge is figuring out how mathematicians and AI can actually work together.
Source.
@aipost 🏴
💰 AI agents are becoming major users of economic data
AI agents now account for roughly half of all visits to FRED, the St. Louis Fed’s economic data portal, according to Bloomberg.
That changes what a data platform like FRED needs to be designed for. Humans see a chart alongside its source, notes and footnotes. An AI agent can simply extract the numbers, interpret them and rebuild them into an answer, potentially leaving important context and provenance behind.
As more AI systems become the middleman between people and economic data, making sure they preserve where numbers came from could become just as important as the numbers themselves.
Source.
@aipost 🏴
🗣Sam Altman says the public has mischaracterized him as AI's villain for the same reason he once mischaracterized Mark Zuckerberg:
When a new technology brings fast change, people project their fear onto the person who seems to hold the most power. Admits that in the early days of Meta he held similar belief towards Mark Zuckerberg, at a time when he did not know Zuckerberg personally.
@aipost 🏴
+1
❗️Hacker may have exposed himself by asking AI to write his résumé
A hacker suspected of targeting South Korean banks may have accidentally revealed his identity after asking Claude Code to write a résumé about his own hacking activities.
CrowdStrike traced the attacks to infrastructure running an AI hacking tool called ARTEX. Investigators later found publicly exposed folders containing the attacker’s saved Claude Code conversations.
In one chat, he asked Claude to create a cybersecurity résumé describing his ARTEX work and provided personal details including a phone number, Telegram handle, claimed age of 26, university and location in China. The same Telegram handle appeared in other hacking-related conversations.
He had also asked Claude where stolen Korean data is typically sold.
His identity has not been independently confirmed but asking an AI to turn your own cybercrime history into a résumé is certainly an unusual way to leave a trail.
@aipost 🏴
+1
❗️Demis Hassabis is in talks to raise new funding at a $50 BILLION valuation for Isomorphic Labs.
Mission: Solve all disease
@aipost 🏴
⚠️ For the first time in either presidency, Trump will present the National Medal of Science.
Elon Musk, Jensen Huang, Lisa Su and Sergey Brin will receive it Thursday at the White House's "Science: A New Golden Age" summit. Satya Nadella and Michael Dell will receive the separate National Medal of Technology and Innovation.
@aipost 🏴
⚡️ AI is rewriting America’s power demand
The U.S. is heading for record electricity consumption in both 2026 and 2027 and AI data centers are becoming a major driver.
Electricity use is projected to rise from 4.195 trillion kWh in 2025 to 4.288 trillion in 2026 and 4.356 trillion in 2027.
That’s an additional 161 billion kWh of demand in just two years, as data centers built to train and run increasingly powerful AI systems consume enormous amounts of electricity.
Source.
@aipost 🏴
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❗️AI hits biology’s data bottleneck
AI biology has reached a problem GPUs alone can’t solve: there simply isn’t enough training data.
A $1.8 billion effort backed by Biohub, the U.S. Department of Energy, NIH, Meta, Google DeepMind and Isomorphic Labs aims to build a “universal virtual cell” that could predict how cells respond to interventions and let researchers test biological experiments digitally before doing them in the lab.
Today’s datasets contain hundreds of millions of cells. Future models may need billions and eventually trillions. The goal is to compress work that normally takes decades into about five years, with the first dataset expected in roughly one year.
There’s also an unusual access model: commercial funders get one year of exclusive access to the data they help generate before it becomes public. Government-funded data has no such embargo.
@aipost 🏴
+1
🤖 ChatGPT now accepts audio files!
Paid users can upload a recording and ask for a transcript, a summary, or answers about what was said.
It supports formats like MP3, WAV and M4A, with a 512 MB limit per file.
Free users don’t have access yet.
@aipost 🏴
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❗️The White House is preparing to unveil OVER $1 BILLION in industry commitments for its AI-driven Genesis Mission, according to Axios.
The mission aims to harness advanced AI to accelerate American scientific breakthroughs. AMD, OpenAI and Anthropic are among the companies involved. President Trump is expected to attend Thursday's AI science summit as Washington pushes to accelerate scientific discoveries amid federal research funding cuts.
@aipost 🏴
🤖 Anthropic launches Claude Haiku 5.5
Anthropic has released Claude Haiku 5.5, calling it the fastest, cheapest and most capable small model it has built.
Haiku 5.5 costs around 75% less to run than Haiku 4.5 while delivering major improvements in coding, computer use and knowledge work. It’s designed for high-volume tasks like summaries, classification, customer support and browser use, and can work as a subagent alongside Opus 5.5 and Sonnet 5.5.
It’s also the first Haiku with adjustable effort, letting developers choose between lower cost and higher intelligence. Anthropic says around 90% of previous Haiku requests were under 100,000 tokens, where the new model offers particularly strong value.
Anthropic is also cutting Sonnet 5.5 cache-read prices by 50%, to just $0.10 per million tokens.
Source.
@aipost 🏴
+1
Parents are using AI to create school portraits of their children instead of paying for photographers.
Others are using it to remove watermarks from professional photos, risking fines up to $150,000.
@aipost 🏴
Which tasks do people actually want AI agents to do? 🤔
@aipost 🏴
