AI Post — Artificial Intelligence
🤖 The #1 AI news source! We cover the latest artificial intelligence breakthroughs and emerging trends. Manager: @rational
Показати більше📈 Аналітичний огляд Telegram-каналу AI Post — Artificial Intelligence
Канал AI Post — Artificial Intelligence (@aipost) у мовному сегменті Англійська є активним учасником. На даний момент спільнота об'єднує 775 519 підписників, посідаючи 103 місце в категорії Технології та додатки та 20 місце у регіоні США.
📊 Показники аудиторії та динаміка
З моменту свого створення невідомо, проект продемонстрував стрімке зростання, зібравши аудиторію у 775 519 підписників.
За останніми даними від 08 липня, 2026, канал демонструє стабільну активність. Хоча за останні 30 днів спостерігається зміна кількості учасників на -31 182, а за останні 24 години на -1 075, загальне охоплення залишається високим.
- Статус верифікації: Не верифікований
- Рівень залученості (ER): Середній показник залученості аудиторії становить 0.68%. Протягом перших 24 годин після публікації контент зазвичай збирає 0.50% реакцій від загальної кількості підписників.
- Охоплення публікацій: В середньому кожен допис отримує 5 294 переглядів. Протягом першої доби публікація в середньому набирає 3 871 переглядів.
- Реакції та взаємодія: Аудиторія активно підтримує контент: середня кількість реакцій на один пост – 646.
- Тематичні інтереси: Контент зосереджений навколо ключових тем, таких як openai, airline, cell, claude, patient.
📝 Опис та контентна політика
Автор описує ресурс як майданчик для висловлення суб'єктивної думки:
“🤖 The #1 AI news source! We cover the latest artificial intelligence breakthroughs and emerging trends.
Manager: @rational”
Завдяки високій частоті оновлень (останні дані отримано 10 липня, 2026), канал підтримує актуальність та високий рівень охоплення публікацій. Аналітика показує, що аудиторія активно взаємодіє з контентом, що робить його важливою точкою впливу в категорії Технології та додатки.
Триває завантаження даних...
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| 2 | Today, the European Parliament approved “Chat Control 1.0,” allowing chat surveillance in Brussels. This regulation lets platforms scan private messages, posing as voluntary but enabling extensive monitoring of communications.
The measure passed despite opposition, with 314 MEPs voting against it and only 276 in favor. A simple majority wasn't enough; a higher absolute majority was needed.
Previously rejected, it was reintroduced just before the summer break, raising concerns about privacy and judicial oversight in digital communication.
📰 @aipost | 1 927 |
| 3 | ❗️The creators of AI 2027 just released a new future scenario called “Plan A” and it’s their blueprint for avoiding an AI catastrophe.
Unlike AI 2027, Plan A isn’t a prediction. It’s a policy proposal showing how humanity could navigate the rise of superintelligence without ending up in a dangerous global AI arms race.
The idea is simple but ambitious: instead of the U.S., China, and other nations racing in secret to build ever-more-powerful AI, they agree to full transparency in AI research and development. Countries openly share what they’re building, verify each other’s safety measures, and collaborate on the path toward superintelligence.
The proposal draws on conversations with experts from leading U.S. AI labs, former OpenAI researchers, lawmakers, national security specialists, and AI governance leaders.
The authors argue that this kind of international cooperation would allow many companies across different countries to develop increasingly powerful AI gradually, safely, and together, rather than risking disaster through unchecked competition.
Interestingly, the team behind the report says they don’t actually expect Plan A to happen. They describe it as an optimistic recommendation, a way to test whether better AI governance could still work if implemented at the last possible moment.
The report then contrasts Plan A with four alternative futures, Plans B, C, D, and S which explore different ways the U.S. (or the lack of action) might respond to the arrival of superintelligence.
@aipost 🏴 | 2 452 |
| 4 | 🤯 A 12-year-old just built an AI startup to replace receptionists
While most kids her age are busy with homework and video games, 12-year-old Mana Jampala is building AI for small businesses.
She created Voxa, an AI receptionist that answers calls 24/7, books appointments, takes restaurant orders, answers customer questions, and summarizes every conversation so businesses never miss another customer.
The idea came from a simple problem: her father’s business kept losing customers because no one was available to answer the phone. Instead of complaining about it, she built an AI solution.
Even more impressive, Mana started learning Python at 9 years old. She used ChatGPT to help her learn and prototype, later switching to Claude as she built Voxa into a full product. After replacing third-party tools with her own backend, she had the first version running in just two weeks.
She’s also launched Voxa Agents, a platform that lets anyone create custom AI agents using plain English, no coding required.
Now, at just 12 years old, she’s pitching customers, talking to investors, and growing a real AI company.
@aipost 🏴 | 3 040 |
| 5 | 🖥 Microsoft is quietly reducing its reliance on OpenAI and Anthropic inside Office.
According to reports, some AI features in apps like Excel and Outlook are now powered by Microsoft’s own MAI models, with tens of thousands of prompts each week being handled in-house instead of by external AI providers.
Why the shift? One word: cost.
Running AI across hundreds of millions of Office users is incredibly expensive, and relying on frontier models from outside companies quickly adds up. By using its own models, Microsoft can cut costs while keeping tighter control over performance and infrastructure.
The move also aligns with Microsoft’s bigger AI strategy. In June, the company unveiled seven MAI models covering reasoning, coding, image generation, voice, and transcription. Microsoft says its Excel-optimized MAI model can deliver GPT-5.4-level performance while being up to 10× more efficient.
@aipost 🏴 | 3 371 |
| 6 | Companies are burning more money on AI than the human workers it was meant to replace, says Forbes analysis.
@aipost 🏴 | 3 206 |
| 7 | ⚠️China’s AI companion robots are selling faster than anyone expected
UBTech’s new U1 humanoid robot reportedly received 13,000 orders on its first day.
For comparison, Unitree, the world’s biggest humanoid robot maker, shipped around 5,500 robots in all of 2025.
Unlike factory robots, the U1 is designed to fight loneliness. It can recognize 20+ emotions, react with facial expressions in under 20 milliseconds, remember your routines and conversations, and stores everything locally instead of in the cloud.
China has 118 million empty-nest seniors and 90 million people living alone, making companion robots a rapidly growing market.
UBTech also offers custom versions that can look and sound like a real person, a concept that feels straight out of Black Mirror. Prices can exceed $135,000, and battery life is only 2–4 hours.
One thing is becoming clear: loneliness is turning into one of AI’s biggest markets.
@aipost 🏴 | 3 822 |
| 8 | 🎤OpenAI just unveiled GPT-Live, its most natural voice AI yet.
Starting today, GPT-Live is rolling out in ChatGPT on iOS, Android, and the web, bringing conversations that feel far more like talking to a real person than a traditional voice assistant.
The biggest upgrade is its full-duplex architecture, which lets the AI listen and speak at the same time instead of waiting for you to finish. That means smoother conversations, fewer awkward pauses, better timing, and even live language translation during a chat.
OpenAI also says GPT-Live has its most refined conversational personality so far, making interactions feel more fluid, expressive, and human-like.
Voice AI is quickly becoming the next major interface and GPT-Live is OpenAI’s biggest step toward making conversations with AI feel truly natural.
@aipost 🏴 | 3 873 |
| 9 | A Chinese company, Rochu Robotics, has created a humanoid robotic hand designed to closely resemble and function like a human hand.
The device utilizes hydraulics and features 24 biomimetic tendons, allowing for flexible and lifelike movement that aims to match the complexity of natural human motion.
Its structure is based on a one-to-one skeletal design, ensuring that each movement of the robotic hand mirrors the corresponding action of a real human hand.
📰 @aipost | 3 971 |
| 10 | 🗣Mark Cuban’s advice for graduates walking into their first job. Learning AI is no longer optional.
"If you’re not the person who knows how to do vibe coding or how to do all these different things with agents and Claude, somebody who does is going to take your place.
If your boss enables you to use that extra knowledge, great. If they don’t enable you to use that extra knowledge, they’re not going to be your boss very long. And if the CEO doesn’t understand that, he or she is not going to be the CEO very long.
And if they still keep that CEO who’s not using AI to get ahead, you tell me, so I can start a company to kick their ass."
@aipost 🏴 | 6 048 |
| 11 | Argentine fans found a robot, put the national team shirt on it, and made it dance to their songs. 😂
@aipost 🏴 | 4 475 |
| 12 | 🤖 xAI unveils Grok 4.5, its first AI built specifically for coding and autonomous agents.
Unlike previous versions, Grok 4.5 was trained from the ground up for software engineering, with help from Cursor. The result? Frontier-level coding intelligence that runs at impressive speed without driving up costs.
The model is designed for real-world development, not just coding demos. It can navigate massive codebases, manage long-running engineering tasks across multiple repositories, juggle hundreds of developer skills, and seamlessly use a wide range of tools.
If you’re building complex software, Grok 4.5 aims to act more like an experienced engineer than just an AI code assistant. 🚀
Source.
@aipost 🏴 | 4 246 |
| 13 | Chinese manufacturers are now integrating DeepSeek into air conditioners, turning them into smart home assistants instead of simple cooling devices.
Rather than just adjusting the temperature, these AI-powered ACs can answer questions, give real-time weather updates, play music, and respond to voice commands, all without needing a separate smart speaker.
@aipost 🏴 | 4 190 |
| 14 | 💰 The AI gold rush is about to swallow $7.6 trillion.
According to Goldman Sachs, the world will pour $7.6 trillion into AI infrastructure between now and 2031. Annual spending is expected to jump from $765 billion in 2026 to a staggering $1.6 trillion by the end of the decade.
Where’s all that money going?
⚡ $5.1 trillion will fund AI chips and compute.
🏗️ $2.1 trillion will build massive AI data centers.
🔋 $358 billion will expand the power infrastructure needed to keep them running.
The biggest winner? Nvidia. Goldman estimates the chip giant could capture 75% of all AI compute spending, making it the largest direct beneficiary of the AI boom.
But it’s not just about GPUs anymore. AI factories are becoming energy monsters. Traditional server racks typically consume 5–15 kW of power, while next-generation AI racks are already pushing 500+ kW. That surge is creating huge opportunities for companies like Vertiv, which specializes in cooling and power systems, and Vistra, which could benefit from the growing need for reliable nuclear power to keep AI infrastructure online.
@aipost 🏴 | 4 295 |
| 15 | Anthropic: “don’t think about the Golden Gate Bridge”
Claude internals: “bridge”
Also Claude internals: “DAMN”
@aipost 🏴 | 4 264 |
| 16 | Software engineers face new challenges as they are increasingly required to work with code they did not create.
With the rise of artificial intelligence in software development, professionals now spend more time verifying and managing AI-generated code rather than writing it themselves.
This shift has added complexity to the engineering process, emphasizing code review and oversight over original development.
📰 @aipost | 4 440 |
| 17 | Cloudflare has rolled out a new monetization layer for the “agentic web,” allowing AI agents to make direct payments using the x402 protocol at the network edge. This advancement means that AI agents can pay websites directly instead of depending solely on free pages or existing API agreements.
Currently, AI products access external information through contracts, scraping, APIs, or public sources. Cloudflare's system aims to make resource access resemble a paid HTTP request. When an agent requests a protected resource, the request can be denied until payment is made.
Website owners can specify access charges, like “$0.01 per call,” with Cloudflare ensuring payment compliance at the edge. Agents will receive a 402 Payment Required response, complete the payment, and then proceed with proof of payment.
This innovation integrates payment into the core web request process, assuming agents can manage wallets and adhere to spending protocols.
📰 @aipost | 4 353 |
| 18 | The European Parliament is considering a proposal to reintroduce the scanning of private messages on digital platforms—an initiative previously rejected twice.
The plan would allow platforms to access users’ private chats, described officially as voluntary, but seen as a broad surveillance measure. This proposal is returning via an expedited parliamentary process, though no emergency has been identified; the transitional regulation has lapsed, and there is time for debate.
For approval, the measure requires an absolute majority of all MEPs, not just those present. Absence of members increases its likelihood to pass. The process has been criticized for bypassing standard democratic procedures and revisiting a measure that Parliament has twice declined.
📰 @aipost | 4 492 |
| 19 | China is set to restrict overseas access to its most advanced AI models. Authorities have engaged with major tech companies like Alibaba, ByteDance, and Z.ai, focusing on keeping leading-edge Chinese AI systems within the country, including unreleased models.
Talks were led by the Ministry of Commerce, joined by state planning officials, indicating intentions to impose export controls rather than simple tech regulation. Both closed-source and open-weight AI models are included in these proposed controls, extending beyond just API limitations to downloadable AI systems.
Further discussions addressed treating leaks or theft of proprietary AI as a national security concern, and tightening rules on foreign investment in Chinese AI startups. These steps would simultaneously restrict access to technology, funding, and expertise.
U.S. authorities have already imposed their own restrictions on AI exports, increasing concerns about the emergence of national barriers in the global AI sector.
📰 @aipost | 4 347 |
| 20 | Someone made a song called “Claude’s Plan” inspired by Drake’s God’s Plan.
The AI industry has PEAKED here. 🤣
@aipost 🏴 | 4 367 |
