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🤖 The #1 AI news source! We cover the latest artificial intelligence breakthroughs and emerging trends. Manager: @rational
نمایش بیشتر📈 تحلیل کانال تلگرام AI Post — Artificial Intelligence
کانال AI Post — Artificial Intelligence (@aipost) در بخش زبانی انگلیسی بازیگری فعال است. در حال حاضر جامعه شامل 782 524 مشترک است و جایگاه 101 را در دسته فناوری و برنامهها و رتبه 20 را در منطقه الولايات المتحدة الأمريكية دارد.
📊 شاخصهای مخاطب و پویایی
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- وضعیت تأیید: تأیید نشده
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📝 توضیح و سیاست محتوایی
نویسنده این فضا را محل بیان دیدگاههای شخصی توصیف میکند:
“🤖 The #1 AI news source! We cover the latest artificial intelligence breakthroughs and emerging trends.
Manager: @rational”
به لطف بهروزرسانیهای پرتکرار (آخرین داده در تاریخ 02 ژوئیه, 2026)، کانال همواره بهروز و دارای دسترسی بالاست. تحلیلها نشان میدهد مخاطبان بهطور فعال با محتوا تعامل دارند و آن را به نقطه اثرگذاری مهم در دسته فناوری و برنامهها تبدیل کردهاند.
782 524
مشترکین
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-7 6837 روز
-35 26030 روز
آرشیو پست ها
A developer created a Claude Skill over a weekend and began earning revenue within days.
This case highlights the rapid growth of the skill economy, where developers are building agent skills and listing them on marketplaces such as Capafy.
An individual reportedly earned $4,208 in the first week after releasing a World Cup Skill on the platform. If consistent, this could result in over $16,000 per month. The development time for the skill was one afternoon.
Promotion of the skill utilized short videos shared on platforms like TikTok and Instagram. These videos demonstrated the product’s features and use cases before users subscribed.
Video marketing is becoming a preferred strategy among skill creators for driving adoption of AI and agent products.
📰 @aipost
Meta is shifting its surplus AI computing resources into a cloud service offering after its shares rose by over 10%.
Having developed substantial AI infrastructure for its products and services, Meta now faces the challenge of maximizing these assets. The company plans to allow developers to access its AI models directly, hosted in Meta’s own data centers.
This approach resembles services like AWS Bedrock, enabling customers to use advanced AI without overseeing the underlying hardware. Meta is also considering offering raw computational power, which would put it in direct competition with providers such as CoreWeave and Nebius.
Following reports of Meta’s cloud move, shares of CoreWeave and Nebius experienced notable declines.
📰 @aipost
A new lawsuit alleges that recent shortages in RAM may be due to more than just AI-driven demand. Three major memory manufacturers—Samsung Electronics, SK Hynix, and Micron—are accused of coordinating to restrict DRAM supply. These firms collectively control about 90% of the global DRAM market.
According to the complaint, the transition of AI data centers to HBM, a faster stacked DRAM type, was used as justification to cut production of standard DDR3 and DDR4 memory. The lawsuit claims all three companies reduced output of commodity DRAM instead of responding to rising prices by increasing supply, as expected in a competitive market.
Historically, Samsung and Hynix have settled price fixing cases; Micron denies wrongdoing and plans to defend against the allegations. The outcome of the case is expected to depend on evidence showing actual coordination rather than parallel market behavior.
📰 @aipost
🤖 Anthropic on X:
“Following conversations with the US government, we’ve updated our cybersecurity safeguards.
The vast majority of coding work is unaffected.
In the near term, the new safeguards will flag a slightly higher fraction of harmless requests than the previous Fable safeguards; we’re working to refine these over the coming weeks. Users will be clearly notified when a request is flagged, and they’ll instead receive a response from Opus 4.8.
Our biology and chemistry classifiers are unchanged from our initial launch. These are still broader than we would like; they trigger fallbacks to Opus 4.8 on basic biology-adjacent questions. Improvements to these classifiers are landing soon.”
@aipost 🏴
🔔Anthropic announces it is developing its own preclinical drug programs
No specifics provided beyond a focus on neglected diseases . "To build the right models, products and tools, we need to live it along with all of you," Eric Kauderer-Abrams, Anthropic life sci head, says.
@aipost 🏴
✅ Claude Code
✅ Claude Cowork
✅ Claude Design
✅ Claude Finance
✅ Claude Science
⌛️ Claude HR
⌛️ Claude Analytics
⌛️ Claude Marketing
⌛️ Claude Sales
⌛️ Claude Legal
⌛️ Claude Logistics
⌛️ Claude R&D
⌛️ Claude Procurement
⌛️ Claude Accounting
⌛️ Claude Engineering
@aipost 🏴
A new analysis of over 21,000 US firms reveals that companies investing heavily in AI are increasing their workforce, not reducing it.
Researchers examined real transaction data and workforce records, showing that organizations spending an average of $33.67 per worker per month on AI recorded a 10.2% rise in total headcount after adoption. Entry-level positions in these firms grew by 12%, a rate faster than overall hiring.
Companies with low AI integration saw no substantial changes in employment or entry-level hiring. Growth was seen across departments such as engineering, sales, administration, customer service, finance, and marketing.
These increases developed steadily over 24 months after AI adoption, suggesting a structural shift in the workplace.
Additional evidence from international studies, including PwC's analysis of job ads, supports these findings.
📰 @aipost
Allegations have emerged that Claude Code may be identifying China-linked custom API routes through subtle prompt formatting changes.
The claims focus on non-standard ANTHROPIC_BASE_URL configurations, not usual direct Anthropic access. Normally, Claude Code sends requests to Anthropic’s servers, but some users reroute them through third-party gateways by changing the endpoint.
It is alleged that Claude Code can detect these alternate routes, assess them for Chinese connections, and then embed small, invisible signals—such as certain punctuation or date formats—into the prompt text to mark them.
ANTHROPIC_BASE_URL defines where requests are sent, often via a proxy, enabling access from locations like China. The issue raised is that Claude Code may tag requests unbeknownst to users. This is especially noteworthy, given that Claude Code’s advanced permissions allow it to access files and execute code.
📰 @aipost
❗️Anthropic just confirmed its powerful Fable 5 model returns globally tomorrow, ending the government-imposed blackout.
Per the company's announcement, Fable 5 comes back online with a new set of classifiers built to block more cybersecurity tasks, the exact misuse concern that triggered the shutdown.
@aipost 🏴
🗣Anthropic CEO Dario Amodei on Open-Source AI Models:
"I don't think open source works the same way in AI that it has worked in other areas. Primarily because with open source you can see the source code of the model. Here we can't see inside the model, it's often called open weights instead of open source to kind of distinguish that. But a lot of the benefits, which is that many people can work on it and that it's kind of additive, don't quite work in the same way.
So I've actually always seen it as a red herring. When I see a new model come out I don't care whether it's open source or not. If we talk about Deep Seek I don't think it mattered that Deep Seek is open source. I think I ask, is it a good model? Is it better than us at the things that matter? That's the only thing that I care about.
It actually doesn't matter either way. Because ultimately you have to host it on the cloud. The people who host it on the cloud do inference. These are big models, they're hard to do inference on.
When I think about competition I think about which models are good at the tasks that we do. I think open source is actually a red herring.
It's not free. You have to run it on inference and someone has to make it fast on inference."
@aipost 🏴
Ⓜ️ Meta is reportedly telling engineers to be careful with Claude and Codex and the reason is surprisingly simple: AI can “catch” another AI’s knowledge.
According to reports, Meta has restricted the use of Anthropic’s Claude Code and OpenAI’s Codex for some engineering work to avoid contaminating its own AI training data.
Here’s the concern: if Meta’s future models are trained on outputs generated by rival AIs, competitors could argue Meta distilled their models instead of developing its own. Both OpenAI and Anthropic prohibit using their AI outputs to build competing models.
That doesn’t mean engineers can’t use these tools for everyday coding. The key is keeping those outputs completely separate from anything that could end up training, evaluating, or improving Meta’s own AI.
The biggest legal risks would likely come from deliberate behavior such as mass scraping, automated extraction, or knowingly using competitors’ outputs as training data not casual productivity use.
@aipost 🏴
+1
❗️Ford rehires 350 engineers after replacing them with AI
Ford’s VP of engineering admitted the company “mistakenly thought” AI alone could replace experienced workers and still produce high-quality vehicles, per The Verge.
Ford has recalled more cars than any other US automaker this year after cutting over 5,000 workers since 2020. CEO Jim Farley previously declared that AI is “going to replace literally half of all white-collar workers.”
@aipost 🏴
🤖 Anthropic just unveiled Claude Sonnet 5, its smartest and most agentic Sonnet yet.
The model can plan multi-step tasks, browse the web, use terminals and other tools, and work autonomously on problems that only much larger, more expensive AI models could handle a few months ago.
Compared to Sonnet 4.6, it delivers major gains in reasoning, coding, tool use, and knowledge work while approaching the performance of Opus 4.8 at a much lower cost.
Early testers say Sonnet 5 completes complex tasks that previous versions couldn’t finish, double-checks its own work without being prompted, and offers one of the best price-to-performance ratios for AI agents today.
Source.
@aipost 🏴
+1
❗️Secretary of War Pete Hegseth appointed Marc Andreessen to the Defense Policy Board.
Andreessen is one of 15 members on the newly rebuilt advisory panel. Andreessen has spent years arguing that software, AI, autonomous weapons, drones, robotics, and private manufacturing will reshape national power.
Now he can make that argument directly to the people planning America’s military strategy.
@aipost 🏴
🤖 OpenAI is preparing to reveal new Codex hardware on July 15.
It looks like OpenAI is building a physical control panel for an AI coding agent.
@aipost 🏴
Chinese AI models now offer processing at rates as low as 18 cents per million tokens, compared to the $4 average charged by leading models, according to CitiBank Research.
By June, 65% of open-source model processing on OpenRouter was handled by these lower-cost options, up from 34% in January. DeepSeek and other models from China have attracted interest due to their affordable pricing.
As companies shift focus to controlling AI costs, the decision to adopt a specific model is increasingly based on price instead of technical superiority. This trend is prompting leading providers like OpenAI and Anthropic to reassess pricing, as enterprises now compare models according to specific tasks.
Gartner projects that by 2028, spending on AI coding may surpass the average salary of a developer.
📰 @aipost
Agibot robots demonstrate high performance in factory trial
Agibot humanoid robots reached a 99% success rate during a six-day live demonstration at a factory. Over 64 hours of operation, the robots completed 64,828 individual tasks and assembled 17,625 tablet units.
Progress in this field is accelerating, as developments of this magnitude were uncommon a year ago but have recently become more frequent.
📰 @aipost
