متاح الآن! بحث تيليغرام 2025 — أهم رؤى العام 
AI Post — Artificial Intelligence
الذهاب إلى القناة على Telegram
🤖 The #1 AI news source! We cover the latest artificial intelligence breakthroughs and emerging trends. Manager: @rational
إظهار المزيد📈 نظرة تحليلية على قناة تيليجرام AI Post — Artificial Intelligence
تُعد قناة AI Post — Artificial Intelligence (@aipost) في القطاع اللغوي الإنكليزية لاعباً نشطاً. يضم المجتمع حالياً 792 458 مشتركاً، محتلاً المرتبة 97 في فئة التكنولوجيات والتطبيقات والمرتبة 20 في منطقة الولايات المتحدة.
📊 مؤشرات الجمهور والحراك
منذ تأسيسه في невідомо، حقق المشروع نمواً سريعاً وجمع 792 458 مشتركاً.
بحسب آخر البيانات بتاريخ 21 يونيو, 2026، تحافظ القناة على نشاط مستقر. خلال آخر 30 يوماً تغيّر عدد الأعضاء بمقدار -34 877، وفي آخر 24 ساعة بمقدار -970، مع بقاء الوصول العام مرتفعاً.
- حالة التحقق: غير موثّقة
- معدل التفاعل (ER): يبلغ متوسط تفاعل الجمهور 0.67%. وخلال أول 24 ساعة من النشر يحصد المحتوى عادةً 0.47% من ردود الفعل نسبةً إلى إجمالي المشتركين.
- وصول المنشورات: يحصل كل منشور على متوسط 5 348 مشاهدة. وخلال اليوم الأول يجمع عادةً 3 751 مشاهدة.
- التفاعلات والاستجابة: يتفاعل الجمهور بانتظام؛ متوسط التفاعلات لكل منشور يبلغ 489.
- الاهتمامات الموضوعية: يركز المحتوى على مواضيع رئيسية مثل openai, airline, cell, claude, patient.
📝 الوصف وسياسة المحتوى
يصف المؤلف القناة بأنها مساحة للتعبير عن الآراء الذاتية:
“🤖 The #1 AI news source! We cover the latest artificial intelligence breakthroughs and emerging trends.
Manager: @rational”
بفضل وتيرة التحديث المرتفعة (أحدث البيانات بتاريخ 22 يونيو, 2026) تحافظ القناة على حداثتها ومستوى وصول مرتفع. وتُظهر التحليلات تفاعلاً نشطاً من الجمهور، ما يجعلها نقطة تأثير مهمة ضمن فئة التكنولوجيات والتطبيقات.
792 447
المشتركون
-97024 ساعات
-6 8377 أيام
-34 87730 أيام
جاري تحميل البيانات...
القنوات المماثلة
سحابة العلامات
الإشارات الواردة والصادرة
---
---
---
---
---
---
جذب المشتركين
يونيو '26
يونيو '26
+348
في 51 قنوات
مايو '260
في 97 قنوات
Get PRO
أبريل '26
+116
في 59 قنوات
Get PRO
مارس '260
في 84 قنوات
Get PRO
فبراير '26
+2
في 78 قنوات
Get PRO
يناير '260
في 74 قنوات
Get PRO
ديسمبر '250
في 58 قنوات
Get PRO
نوفمبر '250
في 66 قنوات
Get PRO
أكتوبر '250
في 56 قنوات
Get PRO
سبتمبر '250
في 75 قنوات
Get PRO
أغسطس '25
+3
في 62 قنوات
Get PRO
يوليو '25
+412
في 42 قنوات
Get PRO
يونيو '250
في 52 قنوات
Get PRO
مايو '250
في 55 قنوات
Get PRO
أبريل '250
في 40 قنوات
Get PRO
مارس '25
+67
في 39 قنوات
Get PRO
فبراير '25
+2
في 56 قنوات
Get PRO
يناير '250
في 42 قنوات
Get PRO
ديسمبر '24
+25 161
في 36 قنوات
Get PRO
نوفمبر '24
+42 696
في 51 قنوات
Get PRO
أكتوبر '24
+55 283
في 26 قنوات
Get PRO
سبتمبر '24
+221 077
في 38 قنوات
Get PRO
أغسطس '24
+1 623 027
في 30 قنوات
Get PRO
يوليو '24
+826 511
في 26 قنوات
Get PRO
يونيو '24
+36 138
في 79 قنوات
Get PRO
مايو '24
+16 690
في 46 قنوات
Get PRO
أبريل '24
+10 982
في 24 قنوات
Get PRO
مارس '24
+243
في 24 قنوات
Get PRO
فبراير '24
+2
في 7 قنوات
Get PRO
يناير '24
+4 466
في 11 قنوات
Get PRO
ديسمبر '23
+180
في 7 قنوات
Get PRO
نوفمبر '23
+4 658
في 5 قنوات
Get PRO
أكتوبر '23
+3
في 13 قنوات
Get PRO
سبتمبر '23
+6 455
في 0 قنوات
Get PRO
أغسطس '23
+152 348
في 0 قنوات
| التاريخ | نمو المشتركين | الإشارات | القنوات | |
| 22 يونيو | 0 | |||
| 21 يونيو | +2 | |||
| 20 يونيو | 0 | |||
| 19 يونيو | +346 | |||
| 18 يونيو | 0 | |||
| 17 يونيو | 0 | |||
| 16 يونيو | 0 | |||
| 15 يونيو | 0 | |||
| 14 يونيو | 0 | |||
| 13 يونيو | 0 | |||
| 12 يونيو | 0 | |||
| 11 يونيو | 0 | |||
| 10 يونيو | 0 | |||
| 09 يونيو | 0 | |||
| 08 يونيو | 0 | |||
| 07 يونيو | 0 | |||
| 06 يونيو | 0 | |||
| 05 يونيو | 0 | |||
| 04 يونيو | 0 | |||
| 03 يونيو | 0 | |||
| 02 يونيو | 0 | |||
| 01 يونيو | 0 |
منشورات القناة
🔥Sakana AI just launched a model that doesn’t act like a model.
Meet Fugu: a single API that secretly runs an entire team of AI agents behind the scenes.
Instead of answering everything itself, Fugu can:
• Pick the best model for the job
• Delegate tasks to specialist agents
• Verify results
• Combine everything into one final answer
The wild part? Fugu can even call copies of itself recursively. To developers, it looks like one model. Under the hood, it’s an AI manager coordinating an entire workforce of AIs.
Sakana says its flagship Fugu Ultra performs alongside frontier models like Fable and Mythos on demanding reasoning, science, and engineering benchmarks without the export-control headaches tied to some cutting-edge systems.
Think of it as the difference between hiring one genius and hiring an entire company through a single email address.
The age of “one model = one brain” may be ending. The future might be AI teams masquerading as a single model.
Source.
@aipost 🏴
| 2 |  +2⚡️Is Tesla secretly turning its charging stations into AI data centers?
Tesla quietly filed an application for MEGAPOD, a modular system designed for AI computing. On the surface, it looks like another piece of infrastructure. But the bigger idea could be far more ambitious.
Imagine Supercharger sites doing double duty: charging EVs during peak hours and supplying compute power for AI workloads when demand is low.
Tesla already has thousands of locations with power connections, networking, cooling expertise, and energy storage. Add AI hardware, and those sites start looking a lot like a distributed network of mini data centers.
If that vision becomes reality, Tesla wouldn’t just own a fleet of vehicles. It would own one of the world’s largest decentralized AI infrastructure networks.
@aipost 🏴 | 1 613 |
| 3 | ⚠️Silicon Valley’s richest people are betting that aging is a bug and AI might be the fix.
Anthropic CEO Dario Amodei thinks AI could compress 100 years of biological progress into just 5–10 years. Sam Altman has personally invested $180 million into Retro Biosciences, a startup trying to extend healthy human lifespan.
Peter Thiel has spent years funding longevity research, backed the Methuselah Foundation, experimented with human growth hormone, and has openly discussed young blood transfusions as a potential anti-aging therapy.
Jeff Bezos poured $3 billion into Altos Labs, making it one of the most heavily funded biotech startups ever. He has also backed Unity Biotechnology, Sana Biotechnology, and Denali Therapeutics.
Coinbase founder Brian Armstrong argues aging is the world’s biggest killer, claiming it causes more than 100,000 deaths every day. He launched NewLimit to develop treatments that could slow or reverse the process.
Larry Ellison has funded anti-aging research for more than two decades.
Even Elon Musk, despite warning about the risks of leaders living forever, says longevity is an “extremely solvable” problem.
The biggest race in tech may no longer be building AI, it may be using AI to make aging optional.
@aipost 🏴 | 2 289 |
| 4 |  Yann LeCun says Elon Musk’s AI ambitions are already falling behind.
The Meta chief AI scientist called xAI a failure and predicted Musk’s AI push will ultimately collapse, arguing that the company can no longer keep pace with the industry’s leading labs.
LeCun pointed to reports that xAI is leasing capacity from its massive Colossus data centers to rivals such as Anthropic and Google, calling it a sign of weakness rather than strength.
He also argued that attracting top AI talent will become increasingly difficult, claiming Musk’s treatment of some of xAI’s original cofounders has hurt the company’s reputation among researchers.
@aipost 🏴 | 2 609 |
| 5 |  Amazon may be making its biggest move yet against Nvidia.
The company is reportedly exploring selling its Trainium AI chips directly to data centers and enterprises, instead of keeping them exclusive to AWS.
That would be a major shift. Today, companies need Nvidia GPUs or cloud access to train AI models. Tomorrow, they could buy Amazon’s chips and run them on their own infrastructure.
The timing is notable: OpenAI, Anthropic, and Uber are already using Trainium through AWS, and Amazon says demand for its AI chips is surging.
The bigger threat to Nvidia? Amazon isn’t alone. Google is also starting to offer its TPUs to external customers.
For years, hyperscalers were Nvidia’s biggest customers. Now they’re becoming its biggest competitors.
@aipost 🏴 | 2 833 |
| 6 | The AI prompt cheatsheet nobody taught you:
Role → Tell AI who to be
Context → Give background
Task → Be painfully specific
Format → List, table, or paragraph
Constraint → What to avoid
This structure cuts rework by 60-70%. Five lines. Better than 90% of prompts.
@aipost 🏴 | 2 924 |
| 7 |  Amazon just dropped its Sam Altman movie and the timing is raising eyebrows.
Amazon MGM has reportedly walked away from Artificial, Luca Guadagnino’s film about the dramatic 2023 OpenAI boardroom coup that briefly saw Sam Altman fired and then reinstated as CEO.
The twist? Amazon recently deepened its partnership with OpenAI, committing tens of billions of dollars to the AI company. Soon after, the studio decided the film would be “better served” by another distributor.
The movie stars Andrew Garfield as Altman, Ike Barinholtz as Elon Musk, and Yura Borisov as OpenAI co-founder Ilya Sutskever. Reports suggest the film portrays several AI leaders in a less-than-flattering light.
So a film about one of Silicon Valley’s biggest power struggles is now looking for a new home, right after the studio behind it became one of OpenAI’s biggest partners.
@aipost 🏴 | 3 274 |
| 8 |  The world's first Museum of AI Art has officially opened in Los Angeles.
DATALAND is now showcasing AI-generated work in a dedicated space. What started as a niche experiment has moved into a full museum setting, signaling a major shift toward mainstream acceptance.
The AI art era is already here.
@aipost 🏴 | 3 745 |
| 9 |  Within 5 years time, Claude thinks we will not know what the truth is anymore.
@aipost 🏴 | 3 670 |
| 10 |  A significant cyber breach reportedly took place on June 11. On this day, sources indicate that an entity identified as “Mythos” managed to access almost all classified systems of the NSA and U.S. Cyber Command within a matter of hours.
Mark Warner, vice-chair of the Senate Intelligence Committee, stated that General Joshua Rudd, head of the NSA and Pentagon’s Cyber Command, confirmed the incident. According to Warner, the attacker broke into the classified systems at a much faster rate than typically seen in similar cases.
The Economist was cited as the origin of these statements. No additional details on the breach or its implications were provided.
📰 @aipost | 3 788 |
| 11 |  🔥Genesis AI introduced Eno, its first general-purpose robot, with availability planned for the fourth quarter of this year.
Unlike traditional humanoid robots, Eno is not designed to closely imitate the human body. Its form is built around practical movement, physical intelligence, and the ability to assist across different environments.
@aipost 🏴 | 3 677 |
| 12 |  👁️ Nvidia is joining the AI debt financing boom:
Nvidia, $NVDA, sold $25 billion of investment-grade bonds on June 15th, its first debt offering since 2021. This ranks as the 2nd-largest US high-grade bond sale of 2026.
The deal attracted $85 billion in investor orders, more than 3 times the offering size, leading the company to increase the offering from an initial target of ~$20 billion.
This follows Alphabet, $GOOGL, Amazon, $AMZN, Meta, $META, Oracle, $ORCL, and Salesforce, $CRM, collectively raising ~$132 billion in investment-grade bonds this year alone.
Debt is becoming a key source of AI infrastructure funding.
@aipost 🏴 | 3 754 |
| 13 |  🇺🇸 NVIDIA CEO Jensen Huang on the AI race:
"I do not know that 'winning' AI is a thing because AI is going to last a long time. It’s a competition with no end. However, we should absolutely lead in every single aspect of it."
He describes AI as a 5-layer cake:
Layer 1: Energy
Layer 2: Chips
Layer 3: Infrastructure
Layer 4: AI models
Layer 5: Applications
The U.S. currently leads in chips and models, but 'winning' this race will require securing all five.
@aipost 🏴 | 3 668 |
| 14 |  Unitree G1 breaking TVs at VivaTech in Paris.
@aipost 🏴 | 3 643 |
| 15 |  +2💰 The AI bill shock is here
For years, AI companies made usage look cheap. Now the subsidy era may be ending.
Workato saw its Anthropic bill jump 700% overnight after Anthropic switched from a flat monthly fee to pay-per-token pricing. Suddenly, every prompt had a price tag, and the true cost of AI became impossible to ignore.
And it’s not just one company.
Tech giants that spent the last two years pushing AI adoption are now putting the brakes on it:
• Uber reportedly exhausted its 2026 AI budget by April and now limits employees to $1,500 per month.
• Amazon told staff to stop using AI just for the sake of using it after employees began running agents to climb internal rankings.
• Walmart, Cisco, Meta, and JPMorgan are also tightening controls as AI spending balloons.
The bigger issue? This comes at the worst possible moment for AI’s biggest players.
Both OpenAI and Anthropic are reportedly preparing for massive IPOs while still losing huge amounts of money. OpenAI’s losses reportedly grew from about $5 billion in 2024 to $38 billion in 2025, even as revenue surged. Meanwhile, customers are starting to question whether the economics make sense.
A Bain survey found that 40% of companies achieved less than 10% cost savings from their AI investments. Some firms are reportedly discovering AI bills that rival entire employee salaries.
@aipost 🏴 | 3 856 |
| 16 |  ⚠️7 reasons your AI video breaks continuity.
Your character changes face by shot three. Each one has a 30-second fix.
1. Lock one reference image. Pick a single high-quality portrait, crop it tight to 60-80% of the frame, and feed that exact file into every shot. The drift starts the moment you swap references between generations.
2. Use your last frame as the next first frame. Save the final frame of each clip and upload it as the opening frame of the next. Lighting, location, and props carry over instead of resetting to a fresh guess.
3. Keep first and last frames close in framing. Jumping from a wide shot to an extreme close-up forces the model to invent a camera move it can't do, and you get a smeared morph. Move medium to medium-close, or move the subject inside the same frame.
4. Match the frame's aspect ratio to the output. Upload a 16:9 still but render to 9:16, and the model stretches to fill. Set both to the same ratio before you generate.
5. Reuse the seed from your best take. When one generation nails the look, lock its seed and regenerate with small prompt tweaks. Random seeds hand you a different face every run.
6. Grade every clip to one reference. Clips from different batches drift in color temperature and contrast even when the character holds. Pull them all to a single grade in your editor, trim the unstable half-second at each clip's head and tail, and drop short cross-dissolves over the cuts that still jump.
7. Stop stuffing one prompt with five actions. Short clips can't hold a full sequence, so the model rushes and breaks. Use a multi-shot storyboard like Kling 3.0 or Seedance 2.0, or sequence shots with [cut] markers that share the same reference images.
@aipost 🏴 | 4 392 |
| 17 |  President Trump has stated he no longer considers AI company Anthropic a national security threat.
During a discussion with Axios, Trump explained that his perspective had changed over the past week. He mentioned being in a meeting at the G7, where he met Anthropic’s CEO, Dario Amodei, describing him as intelligent and personable.
Trump clarified that concerns about the company’s new model had previously led to restricted access by his administration, reflecting earlier security apprehensions. He referenced the gravity of the issue, noting immediate consequences for similar actions.
📰 @aipost | 3 959 |
| 18 |  For the first time, the number of robots at Figure has surpassed the number of human employees.
This milestone marks a new phase for the company, as robots now outnumber humans within its workforce.
According to Figure, this shift represents a move beyond theoretical progress into a practical reality within robotics.
📰 @aipost | 4 080 |
| 19 |  +1Public sentiment toward artificial intelligence is shifting, with increasing opposition reported in various areas.
Recent developments highlight resistance not only to new data centers, but also to AI more broadly. Growing numbers are expressing dissatisfaction, citing worries about job displacement and higher energy costs.
While these concerns are acknowledged as valid, some resistance appears influenced by general unease. Experts suggest that addressing these issues may require additional education and information dissemination efforts.
📰 @aipost | 3 986 |
| 20 |  🤖 OpenAI may have discovered a shortcut to making AI safer.
Researchers found that training models on realistic human situations didn’t just improve behavior in those specific scenarios, it made them behave better across completely different tasks.
The surprise? A model trained only on health-related interactions became more resistant to blackmail, deception, and reward-hacking in areas it had never seen before.
Even more interesting, OpenAI removed health and science data from training, yet the model still performed better on health evaluations. That suggests it wasn’t memorizing rules, it was learning broader habits like checking facts before making claims, admitting mistakes, resisting manipulation, and avoiding clever shortcuts.
The result was an AI that became harder to push toward harmful behavior while still staying helpful when given legitimate instructions.
In other words, OpenAI may be finding a way to teach models principles, not just rules.
@aipost 🏴 | 3 903 |
