متاح الآن! بحث تيليغرام 2025 — أهم رؤى العام 
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
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 792 886 مشتركاً، محتلاً المرتبة 97 في فئة التكنولوجيات والتطبيقات والمرتبة 20 في منطقة الولايات المتحدة.
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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”
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منشورات القناة
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 | 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 🏴 | 884 |
| 3 |  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 🏴 | 1 881 |
| 4 |  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 🏴 | 2 541 |
| 5 |  Within 5 years time, Claude thinks we will not know what the truth is anymore.
@aipost 🏴 | 2 975 |
| 6 |  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 | 3 244 |
| 7 |  🔥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 🏴 | 3 270 |
| 8 |  👁️ 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 🏴 | 3 378 |
| 9 |  🇺🇸 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 🏴 | 3 349 |
| 10 |  Unitree G1 breaking TVs at VivaTech in Paris.
@aipost 🏴 | 3 293 |
| 11 |  +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 🏴 | 3 523 |
| 12 |  ⚠️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 🏴 | 4 015 |
| 13 |  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 | 3 797 |
| 14 |  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 | 3 876 |
| 15 |  +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 | 3 871 |
| 16 |  🤖 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 🏴 | 3 792 |
| 17 |  🤣🤣
@aipost 🏴 | 3 954 |
| 18 | 🤖 OpenAI just hired one of the architects of modern AI.
Noam Shazeer, a legendary AI researcher and one of the key minds behind the transformer revolution, has reportedly joined OpenAI to lead AI architecture research.
If his name sounds unfamiliar, his work definitely isn’t. Shazeer co-authored the 2017 paper “Attention Is All You Need”, which introduced transformers, the breakthrough that powers ChatGPT, Gemini, Claude, and nearly every major AI model today.
His résumé is stacked: multi-head attention, Mixture-of-Experts (MoE), and T5 all trace back to ideas he helped create.
After more than two decades at Google, Shazeer left in 2021 to found Character.AI. Google later paid a staggering $2.7 billion to bring him and the startup back, installing him as a key leader behind Gemini.
Now, one of Google’s most influential AI minds is heading to OpenAI.
@aipost 🏴 | 4 330 |
| 19 | 🗣JD Vance says the US may want a stake in AI giants
Vice President JD Vance just floated one of the most unexpected AI policy ideas yet: the US government taking ownership stakes in major AI companies.
During a podcast appearance, Vance responded positively to a proposal that workers should share in AI wealth creation, saying President Trump “likes that idea too.” Instead of directly giving workers shares, Vance suggested a sovereign wealth fund that could own stakes in leading AI firms.
Why? Vance argues that AI’s biggest danger isn’t mass unemployment, it’s mass inequality.
His concern is that AI could make a small group of people unimaginably wealthy, repeating the social tensions that followed the Industrial Revolution. In his view, workers should benefit from AI’s upside before the wealth concentrates, not receive compensation afterward. He even pointed to labor unions as a potential model.
Vance also warned that AI could become a powerful surveillance tool, calling it a technology that could enable governments and corporations to monitor and score citizens in unprecedented ways. He said he wants to avoid a future where algorithms quietly determine what opportunities people can access.
The result is a surprisingly unusual political position: a Republican administration discussing government equity stakes in private AI companies, stronger worker participation, and concerns about AI-driven surveillance all at the same time.
@aipost 🏴 | 4 482 |
| 20 | 🔥The head of Claude Code at Anthropic says he doesn't write prompts anymore.
He writes loops. Here are 7 loop instructions you can paste straight into Claude Code:
1. The Type Error Killer
Goal: Fix every TypeScript type error in this project. Rules: Run tsc --noEmit to get the full error list. Fix one file at a time, starting with the file that has the most errors. After each file, run tsc --noEmit again to confirm the count dropped. Do not add @ts-ignore or any type assertions unless the type is genuinely unknown. Do not change runtime behavior. Types only. Verify after each step: Run tsc --noEmit. Compare error count to the previous run. If the count went up, undo the last change and try a different fix. Exit when: tsc --noEmit returns zero errors.
2. The Test Gap Closer
Goal: Bring test coverage to [TARGET]% for [DIRECTORY]. Rules: Run the coverage report first. Identify the least-covered file. Write tests for that file. One file at a time. Test real behavior, not implementation details. Run the full test suite after each new test file to make sure nothing broke. Move to the next least-covered file and repeat. Verify after each step: Run coverage report. Confirm the number went up. Run full test suite. Confirm zero new failures. Exit when: Coverage report shows [TARGET]% or higher.
3. The Dead Code Sweeper
Goal: Find and remove all unused exports, functions, variables, and imports in this project. Rules: Use static analysis to identify unused code. Remove one item at a time. Run the full test suite after each removal. If a test fails, undo that removal, mark it as "in use despite no static reference," and move on. Do not remove anything inside files matching [EXCLUDE PATTERN] (e.g., config files, entry points). Verify after each step: Run tests. If green, the removal was safe. If red, roll back and skip. Exit when: No unused code remains, or all remaining items cause test failures when removed.
4. The Dependency Updater
Goal: Update all outdated dependencies to their latest compatible versions. Rules: Run the outdated check (npm outdated, pip list --outdated, or equivalent). Update one package at a time. Start with patch versions, then minor, then major. Run the full test suite after each update. If tests fail, roll back that package and log it with the failure reason. Do not update packages listed in [SKIP LIST]. Verify after each step: Run tests. If green, keep the update and move to the next package. If red, roll back and log. Exit when: All packages are current, or all remaining outdated packages have been attempted and logged.
5. The Pattern Migrator
Goal: Replace every instance of [OLD PATTERN] with [NEW PATTERN] across the codebase. Example: Migrate all class components to functional components with hooks. Rules: Scan the full codebase and list every instance of [OLD PATTERN] first. Migrate one file at a time. Run the test suite after each file. If tests fail, undo that file's migration and log it for manual review. Preserve all existing behavior. The output should be functionally identical. Verify after each step: Run tests. Confirm the migrated file behaves the same as before. Recount remaining instances of [OLD PATTERN]. Exit when: Zero instances of [OLD PATTERN] remain and all tests pass. Or all remaining instances have been attempted and logged.
6. The Lint Fixer
Goal: Fix all linting errors and warnings in this project without disabling any rules. Rules: Run the linter. Group errors by rule. Fix the most common rule violation first, across all files. After fixing each rule category, rerun the linter. Do not add eslint-disable, noqa, or any rule suppression comments. If a fix would change logic (not just style), skip it and log the file and rule. Verify after each step: Rerun linter. Confirm the total count dropped. Run tests to make sure fixes did not break behavior. Exit when: Linter returns zero errors and zero warnings, or all remaining violations require logic changes and have been logged.
@aipost 🏴 | 3 998 |
