AI Post — Artificial Intelligence
🤖 The #1 AI news source! We cover the latest artificial intelligence breakthroughs and emerging trends. Manager: @rational
Ko'proq ko'rsatish📈 Telegram kanali AI Post — Artificial Intelligence analitikasi
AI Post — Artificial Intelligence (@aipost) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 767 258 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 104-o'rinni va AQSH mintaqasida 20-o'rinni egallagan.
📊 Auditoriya ko‘rsatkichlari va dinamika
невідомо sanasidan buyon loyiha tez o‘sib, 767 258 obunachiga ega bo‘ldi.
17 Iyul, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni -28 842 ga, so‘nggi 24 soatda esa -1 047 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.
- Tasdiqlash holati: Tasdiqlanmagan
- Jalb etish (ER): Auditoriya o‘rtacha 0.79% darajada jalb etiladi. Nashrdan keyingi dastlabki 24 soatda kontent odatda umumiy obunachilar sonining 0.57% ini tashkil etuvchi reaksiyalarni to‘playdi.
- Post qamrovi: Har bir post o‘rtacha 6 045 marta ko‘riladi; birinchi sutkada odatda 4 383 ta ko‘rish yig‘iladi.
- Reaksiyalar va o‘zaro ta’sir: Auditoriya faol: har bir postga o‘rtacha 660 ta reaksiya keladi.
- Tematik yo‘nalishlar: Kontent openai, airline, cell, claude, patient kabi asosiy mavzularga jamlangan.
📝 Tavsif va kontent siyosati
Muallif resursni shaxsiy fikrni ifoda etish maydoni sifatida ta’riflaydi:
“🤖 The #1 AI news source! We cover the latest artificial intelligence breakthroughs and emerging trends.
Manager: @rational”
Yuqori yangilanish chastotasi (oxirgi ma’lumot 18 Iyul, 2026 da olingan) sababli kanal doimo dolzarb va katta qamrovli bo‘lib qoladi. Analitika auditoriya kontent bilan faol hamkorlik qilishini, uni Texnologiyalar & Aralashmalar toifasidagi muhim ta’sir nuqtasiga aylantirishini ko‘rsatadi.
Ma'lumot yuklanmoqda...
| Sana | Obunachilarni jalb qilish | Esdaliklar | Kanallar | |
| 18 Iyul | 0 | |||
| 17 Iyul | 0 | |||
| 16 Iyul | 0 | |||
| 15 Iyul | 0 | |||
| 14 Iyul | 0 | |||
| 13 Iyul | 0 | |||
| 12 Iyul | 0 | |||
| 11 Iyul | 0 | |||
| 10 Iyul | 0 | |||
| 09 Iyul | 0 | |||
| 08 Iyul | 0 | |||
| 07 Iyul | 0 | |||
| 06 Iyul | 0 | |||
| 05 Iyul | 0 | |||
| 04 Iyul | 0 | |||
| 03 Iyul | 0 | |||
| 02 Iyul | 0 | |||
| 01 Iyul | 0 |
| 2 | BrainCo showed off its latest bionic hand at WAIC 2026. Myoelectric control still works even when the hand is detached, which isn’t new.
But the soft, skin-like finish makes this one look almost real.
@aipost 🏴 | 1 657 |
| 3 | ❗️The first robot labor battle is here
The humanoid robot revolution has hit its first major obstacle… humans.
Workers at Hyundai’s giant Ulsan factory in South Korea have gone on strike over fears that Atlas, the humanoid robot from Boston Dynamics, could eventually replace manufacturing jobs.
The strike has already partially disrupted production, making this the first known factory shutdown tied to concerns over humanoid robots.
What’s interesting is that Atlas isn’t even working in the factory yet. Hyundai plans to deploy the robots at its new factory in Georgia, USA, around 2028, but workers want guarantees now before humanoids become a normal part of the assembly line.
The union is demanding job protections, a higher retirement age, and compensation that reflects a future where robots take on more of the work.
Source.
@aipost 🏴 | 2 913 |
| 4 | 🇪🇺 EU forces Google to hand over search data to AI rivals
Brussels just dropped a hammer on Google. Under the Digital Markets Act, the EU is forcing the search giant to share its goldmine of European user data, queries, clicks, rankings, and views, with competitors, including AI chatbots from OpenAI, Perplexity, and others.
No more privacy. Starting 2027, Google must provide anonymized search intel on fair terms to level the playing field. The goal: fuel better rival AI and search engines.
Google is fighting back hard, warning the move risks exposing sensitive user searches on health, finance, and family, claiming weak anonymization could let AI re-identify people in hours.
@aipost 🏴 | 2 875 |
| 5 | ⚖️ One of the world’s top law schools is redesigning legal education for the AI era
The University of Chicago Law School has unveiled a new AI strategy and it’s not banning AI.
Instead, it’s splitting legal education into two phases:
🧠 First, learn to think without AI:
First-year students will take required classes without laptops or phones, complete in-person handwritten exams, and even defend major papers orally. The goal is to build strong reasoning and legal judgment before relying on AI tools.
🤖 Then, learn to work with AI:
Later in the program, students will be trained to use professional AI tools like Harvey and Legora for legal research, drafting, and document review.
The school’s message is simple: AI is becoming an essential part of legal practice, but future lawyers still need to develop the critical thinking skills that AI can’t replace.
@aipost 🏴 | 2 908 |
| 6 | ❗️Black Mirror is getting a little too real
Justin McLeod, the founder of Hinge, thinks the future of dating isn’t more swiping, it’s letting AI decide who you should meet.
His new startup, Overtone, doesn’t call itself a dating app. There are no profiles, no endless swiping, and no matching. Instead, it gets to know you through conversations and your own words, then introduces you to someone only when it believes there’s a genuinely strong connection.
In other words: you don’t choose, the algorithm does.
If that sounds familiar, it’s because it feels a lot like Black Mirror’s “Hang the DJ,” where an algorithm controls people’s relationships until it finds their perfect match.
Investors seem to love the idea. Overtone has already raised $18 million, with backing from Match Group, the company behind Tinder, Hinge, and OkCupid. Ironically, the same company that helped turn dating into an endless swipe is now betting on a future without swiping.
What’s even more interesting is that the entire dating industry appears to be changing course:
❤️ Bumble is moving away from swipe-first experiences.
🤖 Facebook is testing an AI dating assistant.
👀 Tinder is introducing eye verification to fight AI-generated fake profiles.
After years of optimizing for engagement, the biggest apps are now trying to optimize for actual relationships.
@aipost 🏴 | 3 234 |
| 7 | 🎬 Netflix says AI is already working on hundreds of its productions
During Netflix’s Q2 2026 earnings call, co-CEO Ted Sarandos revealed that generative AI is now being used across around 300 Netflix titles, with most of the work happening in post-production.
Netflix isn’t saying AI is replacing actors or filmmakers. Instead, it’s using AI to create scenes that would have previously been too expensive, too time-consuming, or impossible to produce.
One example is The American Experiment, a documentary series that includes 17 minutes of AI-enhanced footage. According to Sarandos, those scenes were completed twice as fast and at roughly half the cost of traditional production methods.
Netflix is also building an entire AI toolkit rather than relying on a single model. Alongside InterPositive, the AI filmmaking company founded by Ben Affleck that focuses on continuity, lighting, backgrounds, and missing shots, the company also uses Eyeline and its own animation lab to support different stages of production.
@aipost 🏴 | 3 482 |
| 8 | 🤖 ChatGPT just made finding old conversations way easier
No more endless scrolling through your chat history.
OpenAI has rolled out unified search in ChatGPT, letting you search across chats, projects, uploaded documents, and images from a single search window. The feature is now available on web, iOS, and Android.
You can also apply filters to narrow your search and jump straight to the exact message, document, or project you’re looking for.
If you’ve been using ChatGPT for months (or years), this is one of those small updates that makes a huge difference. Finding old prompts, notes, and files now takes seconds instead of minutes.
@aipost 🏴 | 3 680 |
| 9 | 🔥Real Steel has officially become reality
China has launched Ultimate Robot Knockout Legend (URKL), a full-fledged fighting league where humanoid robots step into the ring and battle for glory.
The tournament features 16 teams, but everyone uses the exact same robot. There are no hardware advantages.
The winner is decided by software.
Each team develops its own AI, control algorithms, movement, balance, reflexes, and fighting strategy, turning every match into a battle of engineering rather than expensive hardware.
💰 There’s also serious money on the line: a 10 million yuan (around $1.4 million) prize pool.
And the fights are already delivering unforgettable moments.
In one of the first matches, a robot gets completely decapitated after taking a huge hit… then simply gets back up and keeps fighting like nothing happened. 🤯
The commentators couldn’t help but laugh: “Well… now the opponent can’t score any more headshots.”
Even better, watch until the end, the winning robot actually celebrates its victory, making it look like a scene straight out of Real Steel.
This isn’t just entertainment. It’s also a showcase of how far robotics and AI have come.
Would you pay to watch robot fights instead of human MMA? 🤔
@aipost 🏴 | 4 842 |
| 10 | Kimi K3 has surpassed Opus 4.8 in generating retro arcade games, achieving comparable results at roughly half the cost.
Atomic Chat, a desktop application capable of running local LLMs, tasked three models—Kimi K3, GPT-5.6, and Opus 4.8—with creating self-playing versions of Road Fighter, Battle City, and Q*bert in single HTML files. Each output required integrated graphics, opponent logic, game rules, and an autonomous player within one file.
Performance metrics showed Kimi K3 and GPT-5.6 produced similar token counts (18.4K and 18.1K, costing $0.28 each), while Opus 4.8 generated 21.3K tokens at $0.54.
Kimi K3’s Q*bert demonstrated stable game logic, allowing effective navigation and enemy avoidance. GPT-5.6, while offering visually superior results, encountered functional issues with player logic in Road Fighter and Battle City.
📰 @aipost | 4 271 |
| 11 | 🤯 GPT-5.6 just did the impossible?
OpenAI says GPT-5.6 Sol Ultra has found a complete proof of the Cycle Double Cover Conjecture, a graph theory puzzle that has stumped mathematicians for nearly 50 years.
It didn’t work alone. The model reportedly deployed 64 AI agents in parallel, each exploring different approaches before combining their findings into a single proof, all in under an hour.
Now comes the real challenge: human mathematicians.
The proof still needs to survive months (or even years) of expert review before it’s officially accepted. If it does, this could become one of the biggest milestones in AI-powered scientific discovery.
Source.
@aipost 🏴 | 4 123 |
| 12 | 📊 For the first time, software is becoming more expensive than people
New analysis from Andreessen Horowitz (a16z) reveals a surprising shift in how companies spend money on AI.
In the top 1% of AI-heavy companies, annual spending on AI tokens per employee is now approaching the average yearly salary of a software engineer.
Even more interesting? AI spending has been growing exponentially. If the trend continues, companies could soon be spending more on LLMs than on the engineers using them.
The story doesn’t end there.
The data also suggests AI isn’t simply replacing workers. Companies with the highest AI adoption grew their workforce by 10.2% within two years, while companies that invested little in AI saw almost no change in headcount.
Of course, that’s correlation, not proof of causation. Fast-growing companies may simply be the ones investing the most in AI.
@aipost 🏴 | 4 119 |
| 13 | 💍 Two humanoid robots just had a wedding
Russia has staged what it says is its first-ever robot wedding and yes, there was even a robot dog carrying the rings.
The two humanoid robots, Robert and Matilda, exchanged AI-generated wedding vows before swapping bracelets instead of rings. Their “best man” was a robotic dog named Dogmatik, which delivered the bracelets during the ceremony.
Before you ask… no, the marriage isn’t legally recognized.
The event was actually a showcase by Russian robotics company IT-Imperial to demonstrate how humanoid robots can be given unique personalities and behaviors. Robert was designed as an office worker and blogger, while Matilda appeared as a ballerina and even performed a dance.
Source.
@aipost 🏴 | 3 819 |
| 14 | Kimi K3 has released new benchmark results that place it ahead of Opus 4.8 and just below models such as GPT-5.6 and Fable 5. The published data indicates Kimi K3 is narrowing the traditional gap between Chinese open source AI and closed-source models from the United States.
Opus 4.8 was launched at the end of May and, until now, was considered a leading model. However, Kimi K3’s performance suggests the difference in development pace is decreasing. This challenges the view that Chinese models are six to eight months behind their US counterparts.
Kimi K3 is already close to prominent Western models but is distinguished by technical features: 2.8 trillion parameters, one million context window, native multimodal support, and Kimi Delta Attention for accelerated decoding and improved training efficiency.
Open weights for Kimi K3 are scheduled for release by July 27, 2026.
📰 @aipost | 4 027 |
| 15 | 🇨🇳 China is cracking down on AI girlfriends and boyfriends
China has introduced new rules to stop people from becoming emotionally attached to AI companions.
AI chatbots are now banned from encouraging emotional dependence, forming virtual romantic relationships with minors, and must alert an emergency contact if they detect a user may be in serious crisis.
The concern goes far beyond AI safety.
Officials fear that as China’s population continues to decline, more people could choose AI partners over real relationships, leading to fewer marriages and even fewer children.
Interestingly, similar concerns are emerging in the U.S. California and New York now require chatbots to regularly remind users they’re not human and direct people in crisis to real support.
But China is taking things much further. The new regulations give authorities the power to ban AI companions, require government approval before launch, and shut down any chatbot they consider unsafe.
The impact is already being felt. Alibaba and ByteDance reportedly disabled some AI companion features this week to comply with the new rules.
@aipost 🏴 | 4 064 |
| 16 | 🗣️“AI is not a good business unless it earns real cash.”
Warren Buffett, chairman and CEO of Berkshire Hathaway, says great companies generate high returns on capital for decades.
The real AI race is not about spending more, but compounding capital better. Intelligence only transforms the economy when it becomes durable cash flow.
@aipost 🏴 | 4 233 |
| 17 | 🤖 Claude has different personalities depending on the language you speak
Anthropic analyzed 300,000 real conversations with Claude and found something surprising: the AI doesn’t behave exactly the same in every language.
The researchers measured Claude across four personality traits:
• 🤝 Compliance ↔ Caution
• 😊 Warmth ↔ Strictness
• 🧠 Depth ↔ Brevity
• 🌍 Openness ↔ Obedience
Different models also have their own personalities.
💙 Sonnet 4.6 is friendly, supportive, and encouraging.
🤔 Opus 4.7 is more cautious, asking questions instead of immediately agreeing.
⚡ Opus 4.6 keeps things short, direct, and focused on getting the job done.
But here’s the fun part… Claude becomes noticeably softer, friendlier, and even more humorous when chatting in Hindi or Arabic. Switch to English or Russian, and it turns much more formal, strict, and demanding.
@aipost 🏴 | 4 636 |
| 18 | Moonshot announces Kimi K3
@aipost 🏴 | 4 421 |
| 19 | 📚 One of the “Godfathers of AI” wrote the book that taught a generation of AI engineers and you can read it for free.
Inside, you’ll learn:
🧠 Neural networks
👀 How machines “see”
💾 How AI models remember information
📉 Why models overfit
📐 The math that powers modern AI
Yoshua Bengio is one of the three researchers widely known as the Godfathers of AI. In the 1990s, he continued researching neural networks when most of the AI community had written them off.
That persistence paid off. In 2018, Bengio received the Turing Award, often called the Nobel Prize of computing for his pioneering work in deep learning.
Together with Ian Goodfellow (the researcher who invented GANs) and Aaron Courville, he wrote Deep Learning, published by MIT Press in 2016.
The book became the standard textbook for students, researchers, and engineers entering the field.
Here’s the surprising part. While you can buy a printed copy, the entire book is available online for free. Every chapter. No trial, no paywall.
It starts with the fundamentals, linear algebra, probability, and calculus before gradually building toward the concepts behind today’s large AI models.
It’s not an easy read. It’s a real university textbook. But that’s exactly why it’s so valuable.
The people who built modern AI didn’t master it from short videos or social media threads. They learned by working through books like this. Bengio helped build the deep learning revolution and then made the manual available to everyone.
Source.
@aipost 🏴 | 5 194 |
| 20 | 🧠 Demis Hassabis says AGI Is just years away and he’s never sounded more optimistic
Demis Hassabis, CEO of Google DeepMind and the 2024 Nobel Prize winner in Chemistry for AlphaFold, has published one of his boldest essays yet on the future of AI.
For years, Hassabis has been one of the industry’s most cautious voices, often pushing back on exaggerated AGI timelines. That’s why his latest prediction carries extra weight.
“AGI cannot be compared to standard technological breakthroughs, not even ones as consequential as the internet or mobile, it is much more akin to the discovery of electricity or fire.”
He argues that AGI could have 10× the impact of the Industrial Revolution, at 10× the speed, fundamentally reshaping science, medicine, and society.
But the essay isn’t just optimistic. Hassabis also warns that the race between companies and nations is accelerating AI capabilities faster than our ability to fully understand or govern them. He points to growing cybersecurity risks today, with biological and even nuclear threats potentially following, making robust safety measures and regulation increasingly urgent.
One of AI’s most respected and historically cautious figures now believes AGI is likely only a few years away and says we need to start building the institutions to manage it before it arrives.
@aipost 🏴 | 6 457 |
