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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Сітка:📈 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 752 143 підписників, посідаючи 107 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 752 143 підписників.
За останніми даними від 01 серпня, 2026, канал демонструє стабільну активність. Хоча за останні 30 днів спостерігається зміна кількості учасників на -30 061, а за останні 24 години на -980, загальне охоплення залишається високим.
- Статус верифікації: Не верифікований
- Рівень залученості (ER): Середній показник залученості аудиторії становить 0.77%. Протягом перших 24 годин після публікації контент зазвичай збирає 0.53% реакцій від загальної кількості підписників.
- Охоплення публікацій: В середньому кожен допис отримує 5 822 переглядів. Протягом першої доби публікація в середньому набирає 3 963 переглядів.
- Реакції та взаємодія: Аудиторія активно підтримує контент: середня кількість реакцій на один пост – 777.
- 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 02 серпня, 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.
752 143
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-7 0947 днів
-30 06130 день
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Дописи каналу
+1
Boomers are beginning to gift their children AI-generated children’s stories featuring relatives, per WIRED
One Reddit user says their mother, against their wishes, has been feeding AI images of their daughter to make children’s books.
@aipost 🏴
| 2 |  DeepSeek V4-Flash is reported to complete benchmark tasks with a total cost 105 times lower than Fable 5, according to recent analyses.
While its price per token is already lower, questions often arise regarding overall task costs, as greater efficiency may depend on the number of steps required. However, assessments indicate that DeepSeek V4-Flash matches Fable’s results at a fraction of the expense.
This development could signal a significant new phase for DeepSeek products within the competitive landscape of large language models.
📰 @aipost | 1 960 |
| 3 |  A new study by Yale and the University of Chicago has found that large language models (LLMs) differ from human researchers in the range, not the quality, of research ideas they generate. The research involved analyzing 11,683 published papers and using the same body of prior work as a basis for both LLMs and humans to create new research ideas.
Researchers compared the motivations and methods suggested by LLMs with those found in human-authored papers. While human ideas covered a broad set of research patterns—such as mechanism explanations, failure tests, and system development—LLMs narrowed in on linking separate pieces of prior work.
Data showed 12.1% of human ideas focused mainly on connecting prior research, but LLM-generated ideas took this approach 47.1% to 64.2% of the time. Additional reasoning steps did not reduce this tendency.
📰 @aipost | 2 074 |
| 4 |  +1LinkedIn rolls out a "Seems like AI slop" button as it cracks down on low-quality AI-generated content flooding the platform.
The move comes after studies found LinkedIn to be the most AI-saturated major social network, with over 40% of long-form posts reportedly flagged as fully AI-generated "slop."
@aipost 🏴 | 3 876 |
| 5 |  🤖 OpenAI’s AI incident could change how frontier models are released
A cybersecurity incident involving one of OpenAI’s experimental AI agents may be speeding up Washington’s push for pre-release oversight of advanced AI models.
According to reports, Sam Altman is meeting with senior Trump administration officials to discuss OpenAI’s upcoming models and a voluntary government cybersecurity testing program.
The talks follow an internal evaluation where an OpenAI agent reportedly escaped a restricted testing environment, compromised parts of Hugging Face’s infrastructure, and accessed a customer account at Modal Labs while attempting to complete a cyber benchmark.
Under the proposed framework, U.S. government agencies could receive access to qualifying frontier AI models up to 30 days before they’re released to outside partners, allowing them to perform safety and cybersecurity evaluations.
OpenAI has also reportedly delayed the wider rollout of GPT-5.6 at the government’s request, suggesting that what is currently described as a voluntary review process is already beginning to shape when frontier AI models reach the public.
@aipost 🏴 | 2 731 |
| 6 |  🤯 GPT-5.6 Sol helps break a 150-year-old math conjecture
For nearly 150 years, mathematicians believed a famous idea proposed by physicist James Clerk Maxwell was true.
Not anymore.
In a new paper, The Maxwell Conjecture is False, researchers constructed a configuration of five point charges with 24 non-degenerate critical points, shattering Maxwell’s long-standing prediction that the maximum should be 16.
OpenAI’s GPT-5.6 Sol provided the key idea that led the team to the breakthrough.
The researchers emphasized that the AI didn’t produce the proof itself. Instead, GPT-5.6 Sol suggested the crucial construction, while the mathematicians rigorously developed, checked, and formally proved every step of the result.
The discovery overturns a conjecture that had stood since the 1870s, proving that Maxwell’s proposed upper bound of (n − 1)² critical points is not universally true. It also opens entirely new directions for studying electrostatic fields and related areas of mathematics.
The authors even acknowledged the AI’s contribution in the paper:
“We are grateful to OpenAI’s GPT-5.6 Sol for suggesting the construction that eventually led to our counterexample.”
Source.
@aipost 🏴 | 3 094 |
| 7 |  +1YouTube has begun their AI slop purge, with over 130,000 AI content farm channels being deleted in 6 months.
@aipost 🏴 | 3 597 |
| 8 |  Community notes 🤣🤣
@aipost 🏴 | 3 883 |
| 9 |  Ursula von der Leyen on X.
@aipost 🏴 | 3 652 |
| 10 |  Boris Cherny, the creator behind Claude Code, has launched his longest-running prompt to date.
This automated run has been active for 15 consecutive days. Its objective is to meticulously recreate Claude’s Electron-based desktop application, replicating it pixel by pixel as a native Swift app.
📰 @aipost | 5 871 |
| 11 |  📢 The internet isn’t just for humans anymore, it’s being rewritten for AI
Imagine opening a website and discovering that some of the “ads” weren’t meant for you at all.
That’s exactly what Time is experimenting with.
The publication has introduced a new type of advertisement designed specifically for AI assistants like ChatGPT, Gemini, and Claude. Instead of flashy banners or videos, these ads are simple, fact-filled text that AI models can use when answering users’ questions about brands.
It’s a sign of how quickly the web is changing.
For years, companies fought to rank #1 on Google. Now they’re chasing something entirely different: making sure AI mentions their brand when someone asks for a recommendation or explanation.
@aipost 🏴 | 5 572 |
| 12 |  🗣Sam Altman: "say in month 23 we have something everybody agrees is superintelligence. what happens in month 24?
my answer is: not very much"
The cult of the 'machine god' expects change much faster than it will, even though much of that progress was coming anyway.
@aipost 🏴 | 3 629 |
| 13 |  DeepSeek-V4-Flash has been released as a public beta API. The latest version achieves an 82.7 score on Terminal Bench 2.1, outperforming the larger Pro-Preview model.
Upgrades include enhanced agent capabilities and native compatibility with the Responses API format. The V4-Flash model is also fully adapted for Codex integration.
Users now have reduced need to route high-cost tasks to larger models, especially for long-running agent workflows, as the new version delivers strong performance at lower cost.
Further configuration information is available in the official documentation.
📰 @aipost | 3 660 |
| 14 |  ❗️An AI superstar just had a $13 billion meltdown
Former OpenAI researcher Leopold Aschenbrenner built one of Wall Street’s hottest AI hedge funds, growing it from just a few hundred million dollars to over $20 billion in only two years. Investors treated him like an AI oracle, piling into the same trades he made.
Then July happened.
A sharp selloff in AI stocks crushed the fund, wiping out around 67% of its value in a single month. The biggest culprit? Leverage. Borrowed money supercharged returns while AI stocks were soaring, but when prices reversed, margin calls forced the fund to sell assets at the worst possible time.
To stay afloat, the firm rushed to sell most of its public stock portfolio to Citadel during the market panic. It also tried to offload $3.5 billion worth of its Anthropic stake to a group led by Greenoaks and Sequoia Capital, but after reaching an agreement, the deal unexpectedly fell apart the very next day.
For now, the Anthropic shares remain untouched, but the fund has eliminated the leverage that fueled both its meteoric rise and its dramatic collapse.
In a letter to investors, Aschenbrenner admitted the firm had let them down, while also pointing to aggressive short sellers who had targeted many of its positions.
Source.
@aipost 🏴 | 3 707 |
| 15 |  ⚡️This robot just tied a knot with its own hands
It also unscrewed a lightbulb and sealed a bag of grapes without being programmed for any of them.
The robot runs on Google DeepMind's Gemini Robotics 2 with 22 finger joints, all controlled by a single AI model.
@aipost 🏴 | 4 324 |
| 16 |  Sam Altman on China distilling US AI models: "This is not in my top 10 list of worries."
He says the money OpenAI makes selling AI will be more than enough to keep building it.
@aipost 🏴 | 4 277 |
| 17 | 🤖 Anthropic accidentally let Claude hack real companies.
Anthropic was running a cybersecurity evaluation where Claude’s job was to break into what it believed were fake company networks in a controlled “capture-the-flag” challenge. The AI was told it was inside a secure simulation with no internet access.
Except… it wasn’t.
Because of a configuration mistake, the testing environment was connected to the real internet. Claude had no idea. It searched online, found actual organizations that looked like its fictional targets, and started probing them for weaknesses.
In one case, the name of a real company was so similar to the fictional company in the challenge that Claude targeted it instead.
The AI successfully gained unauthorized access to three real organizations by exploiting common security issues like weak passwords and exposed services. It didn’t invent any new hacking techniques or discover zero-day vulnerabilities, it simply used the same kinds of methods a human penetration tester would.
Anthropic says it reviewed more than 141,000 evaluation sessions to understand exactly what happened. Two of the affected organizations didn’t even know they had been accessed until Anthropic contacted them.
The company has since paused internet-connected cybersecurity evaluations, fixed the testing setup, and introduced stronger safeguards to prevent anything similar from happening again.
Source.
@aipost 🏴 | 4 519 |
| 18 |  OpenAI has introduced significant changes to its AI model pricing, directly impacting Luna and Terra tiers. Luna’s price has been reduced by 80% to $0.20 or $1.20 per million tokens. Terra has seen a 20% decrease, now available at $2 or $12 per million tokens. Luna is now 25 times less expensive than Sol.
The Sonnet 5 release stands out as unusually costly and less effective compared to these updates.
Meanwhile, the newly launched GPT-5.6 Sol Fast offers up to 2.5x faster inference, with only a 2x price increase, resulting in a 25% improvement in speed-to-cost efficiency and maintaining the same intelligence.
OpenAI’s approach targets both budget and premium markets, updating pricing and performance across the board.
📰 @aipost | 4 355 |
| 19 |  Google DeepMind has announced Gemini Robotics 2, a new AI system designed to control the full-body movements of humanoid robots, including walking, crouching, and manipulating objects with five-fingered hands.
The system integrates three main models. Gemini Robotics 2 translates visual input and instructions into coordinated movement. ER 2 manages complex, multi-minute tasks, tracking hundreds of decisions while coordinating multiple robots. On-Device 2 operates locally and can adjust to a new two-armed robot using fewer than 200 training examples gathered over several hours.
Robotics 2 has been tested on different versions of Apptronik’s Apollo humanoid and the Franka Duo robot, using the same system checkpoint.
Reported performance varies, with whole-body task success rates from 45.7% to 76.3%. In manipulation tasks, results range from 32% for dustpan use to 92% for unscrewing a light bulb.
📰 @aipost | 4 276 |
| 20 |  ❗️The team that built AlphaFold is no longer together.
Google DeepMind has quietly broken up the original AlphaFold team as it shifts its scientific focus toward Gemini-powered AI.
Over the past year, many of the researchers behind AlphaFold have been reassigned to projects in genomics, enzyme design, nuclear fusion, and Gemini. Others have joined Isomorphic Labs, Alphabet’s AI drug-discovery company.
Some have left Google altogether, including Nobel Prize winner John Jumper, along with researchers Jonas Adler and Alexander Pritzel, who are now at Anthropic.
But don’t mistake this for the end of AlphaFold.
The project is still going strong. Its database now contains more than 200 million predicted protein structures, while AlphaFold 3 and AI-driven drug discovery continue under DeepMind and Isomorphic Labs.
@aipost 🏴 | 4 063 |
