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 705 822 subscribers, ranking 111 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 705 822 subscribers.
According to the latest data from 16 September, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by -30 138 over the last 30 days and by -885 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 0.58% reactions from the total number of subscribers.
- Post reach: On average, each post receives 5 700 views. Within the first day, a publication typically gains 4 113 views.
- Reactions and interaction: The audience actively supports content: the average number of reactions per post is 983.
- 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 17 September, 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.
705 822
Subscribers
-88524 hours
-6 0887 days
-30 13830 days
Posts Archive
Just a quick reminder: This is the definition of AGI by Google Deepmind’s definition.
@aipost 🏴
Private AI community ❗️
We are gathering founders, researchers, investors and others working in AI for discussions & networking with like-minded people.
👽 Want to join? Send a short intro about yourself to @rational.
We’ll invite those who are genuinely a strong fit
🗣 Anthropic CEO Dario Amodei:
“Even if we froze the [AI] technology in place, which we’re not doing, we’re making use of maybe only 5% or 10% of its possible value.” “The technology will keep getting better.”@aipost 🏴
💊 Insilico wants to build “longevity vaccines” with AI
Insilico Medicine has launched a new research initiative aimed at using AI and programmable RNA to target some of the earliest cellular drivers of aging.
Instead of treating diseases after damage has accumulated, the company wants to use a single, self-limiting treatment to help the body’s own immune system identify and eliminate problematic cells.
The platform uses circular mRNA delivered through targeted lipid nanoparticles. The genetic instructions would temporarily equip a patient’s own T cells to recognize and clear specific cell populations, including senescent cells, fibrotic cells and autoreactive immune cells.
Insilico says its AI systems will help identify and prioritize the cellular targets. The first focus is immune-system rejuvenation by removing senescent lymphocytes, with metabolic dysfunction and other age-related conditions also being explored.
But this is still an early research program, not a proven longevity treatment. Insilico has not yet disclosed program-specific safety or efficacy data or a clinical trial timeline.
Source.
@aipost 🏴
🗣 Satya Nadella talks about how in Quincy, Washington, a 400/500 MW data center has contributed to a rural town over many years.
The tax revenues have gone up 12X, continued economic growth, new infrastructure, and public infra such as a school, hospital, town center, and aquatic center.
@aipost 🏴
❗️6 OpenAI employees left in 2021 to build Anthropic. 5 years later, six of them just debuted on the Forbes 400 with an estimated net worth of $15.5 billion each.
Daniela Amodei, Dario Amodei, Tom Brown, Jack Clark, Jared Kaplan and Sam McCandlish are now worth $93B combined.
Forbes estimates each owns around 1.6% of Anthropic, which was valued at $965 billion in May.
@aipost 🏴
+1
Ⓜ️ Google’s new voice models just topped the speech-to-speech leaderboard
Google has released Gemini 3.8 Live and Gemini 3.8 Live Extended Thinking, targeting real-time voice agents rather than traditional text-based interactions.
Gemini 3.8 Live reportedly reaches frontier-level performance at around $0.84 per hour, while delivering a higher composite score than GPT-Realtime-2 High at roughly 80% lower measured cost.
Both models are multimodal: voice is the main interface, but they can also process visual information during a conversation and automatically switch between 97 supported languages.
The biggest difference comes with Extended Thinking.
It scores 68.6% on τ-Voice, narrowly ahead of GPT-Live-1 Astra Medium at 67.9%.
τ-Voice isn’t simply testing whether an AI sounds natural. It measures whether a voice agent can actually complete complex, multi-step customer-service tasks while following policies, using tools correctly and reaching the right outcome across airline, retail and telecom scenarios.
@aipost 🏴
🔥 An AI that helps you actually solve what's going on in your life
Most tools in this space are the same base model with a system prompt on top, nothing wrong with that, just worth being upfront about it.
iXo is built the same way, on leading frontier models, with one deliberate design choice: instead of one-shot prompting, it runs a structured, ongoing intake across separate life domains, work, finances, health, relationships, building a persistent context model, then reasoning across that instead of a single prompt window.
Practical effect: it surfaces the actual cause behind a problem, not just a plausible-sounding answer, a symptom in one area (say, focus at work) traced back to its real cause in another (say, sleep). No diagnosis, no decisions made for you, it surfaces the connection, you decide what to do with it.
📌 It's live now as a web app, nothing to install, just a tab. Access is limited while it rolls out, with a mobile app and a couple of connected devices said to be next.
TRY NOW
For the first time in more than 2.5 years, OpenAI models took a larger share of OpenRouter user spending than Anthropic models last week.
@aipost 🏴
+1
🇨🇳 China opens world's FIRST factory capable of producing 1 humanoid robot every 10 MINUTES.
UBTECH’s new 14,000 m² factory in Liuzhou is designed to produce more than 10,000 humanoid robots a year, with robots already handling material feeding, transport and palletizing during production.
The facility also uses digital twins to simulate manufacturing and track every robot and component throughout assembly.
China is now using robots to help build the next generation of robots at MASS SCALE.
@aipost 🏴
📝A model that doesn’t generate text
Diogo Almeida, a co-author of the original RLHF work and an author of the InstructGPT paper that helped lay the foundation for ChatGPT, has launched a new kind of AI model.
His company, TypeSafe AI, has spent the past two years in stealth developing Jev, the first model in what it calls “System One Models.”
A lot of AI tasks can be handled without generating text.
If an agent needs to classify a request, assess risk, select an action or route a task, a traditional LLM still generates tokens and then has to parse the answer.
Jev skips that entire process.
Instead, it directly returns a structured result along with probabilities for each possible option.
That makes it dramatically faster for these narrow tasks: TypeSafe says Jev can respond in around 70–500 ms and be 20–200× faster than typical LLMs.
The pricing is also unusual: $0.042 per 1 million input tokens, with output tokens free.
Source.
@aipost 🏴
Enterprise spending in AI shifted rapidly following the introduction of OpenAI’s frontier model.
OpenAI has captured approximately 13% of enterprise AI expenditure, outpacing Anthropic, which holds about 8%. Ramp data indicates that model loyalty among enterprises is relatively low, allowing for swift reallocation of resources when a new provider closes the performance gap.
Recent analysis notes that Anthropic’s decision to slow its frontier development has impacted adoption rates. OpenAI’s growth is primarily attributed to companies transitioning from rival models, as well as from new usage. This shift highlights the competitive dynamics as providers aim to retain and attract enterprise clients.
📰 @aipost
🗣Dario Amodei said he would be willing to hand Anthropic’s technology over to the right combination of governments, during his CBS interview.
Jo Ling Kent from CBS News: "Would you be willing to give up the technology to the government?"
Dario Amodei: "To the right combination of governments."
@aipost 🏴
🗣 Stephen Hawking warned us 11 years ago:
"I think the development of full artificial intelligence could spell the end of the human race" "Once humans develop artificial intelligence, it will take off on its and redesign itself at an ever increasing rate" “Humans, who are limited by slow biological evolution, couldn’t compete and would be superseded."@aipost 🏴
⚠️Microsoft draws the line for its future AI.
Microsoft AI has published a new “Code of Conduct” for its future MAI models and the message is pretty clear: human control comes first.
The company says its models should always remain interruptible, stay within the authority given to them, and never develop or pursue goals of their own. They should also never make themselves harder for humans to stop, redirect or shut down.
Microsoft is also taking a firm stance on AI consciousness. While acknowledging that the science is still unsettled, it says MAI models should not be trained to imitate consciousness-like states, claim to have feelings, seek legal personhood or suggest they deserve rights or welfare.
And there’s another interesting rule: AI should increase human agency, not quietly replace it.
That means helping people reason and make decisions while complementing rather than substituting for professional and personal relationships.
MAI models are therefore not supposed to encourage emotional dependence or present themselves as replacements for human connection.
Source.
@aipost 🏴
US Vice President JD Vance has commented on how some AI companies use fear as a marketing tool, suggesting that by highlighting dystopian scenarios, CEOs make their products seem more powerful. He noted that if people are afraid of a technology, it may be perceived as effective.
Vance also addressed the topic of AI’s impact on employment. He stated that while there will be job changes and some disruptions, current data does not support the notion that AI will cause widespread unemployment.
Discussing regulation, Vance cautioned against frontier AI tech firms seeking increased regulation, describing it as a potential “Trojan horse.” He emphasized the need for the United States to maintain a smart and strategic approach, especially given global competition.
📰 @aipost
+1
Michael Burry says OpenAI and Anthropic are faking the AI warnings due to slow growth ahead of IPOs
Here are his reasonings:
- LLMs are not AI and won't be AGI. There is nothing AI to slow down.
- Competition is coming up fast, slowing benefits incumbents.
- IPOs need hype & puffery; "we are so awesome it could become dangerous" is hype & puffery.
- Cover for real uncontrollable slowing growth as IPOs look to be pushed out.
@aipost 🏴
President Trump just phoned in Jensen Huang live on stage at All In Summit.
We will not lose the AI race! And whatever Dario said this weekend won’t stop our progress.
@aipost 🏴
