prompt 🤖 AI News
رفتن به کانال در Telegram
Welcome to @prompt, your go-to source for AI insights, breakthroughs, and tools shaping the future of intelligence. Contact: @LightEarendil
نمایش بیشترکشور مشخص نشده استفناوری و برنامه‌ها9 505
📈 تحلیل کانال تلگرام prompt 🤖 AI News
کانال prompt 🤖 AI News (@prompt) در بخش زبانی انگلیسی بازیگری فعال است. در حال حاضر جامعه شامل 13 356 مشترک است و جایگاه 9 505 را در دسته فناوری و برنامه‌ها دارد.
📊 شاخص‌های مخاطب و پویایی
از زمان ایجاد در невідомо، پروژه رشد سریعی داشته و 13 356 مشترک جذب کرده است.
بر اساس آخرین داده‌ها در تاریخ 26 اکتبر, 2026، کانال فعالیت پایداری دارد. در ۳۰ روز گذشته تغییر اعضا برابر 294 و در ۲۴ ساعت گذشته برابر 22 بوده و همچنان دسترسی گسترده‌ای حفظ شده است.
- وضعیت تأیید: تأیید نشده
- نرخ تعامل (ER): میانگین تعامل مخاطب 6.63% است و در ۲۴ ساعت نخست پس از انتشار، محتوا معمولاً 4.00% واکنش نسبت به کل مشترکان کسب می‌کند.
- دسترسی پست‌ها: هر پست به طور میانگین 885 بازدید دریافت می‌کند. در اولین روز معمولاً 534 بازدید جمع‌آوری می‌شود.
- واکنش‌ها و تعامل: مخاطبان به‌طور فعال حمایت می‌کنند؛ میانگین واکنش به هر پست 1 است.
- علایق موضوعی: محتوا بر موضوعات کلیدی مانند openai, reasoning, gemini, gpu, math تمرکز دارد.
📝 توضیح و سیاست محتوایی
نویسنده این فضا را محل بیان دیدگاه‌های شخصی توصیف می‌کند:
“Welcome to @prompt, your go-to source for AI insights, breakthroughs, and tools shaping the future of intelligence.
Contact: @LightEarendil”
به لطف به‌روزرسانی‌های پرتکرار (آخرین داده در تاریخ 27 اکتبر, 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.
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پست‌های کانال
🚨 Meta wants to sell $95B of stock to pay for AI
The FT reports Meta plans an equity offering to fund its AI buildout. Stock, not bonds. Existing shareholders eat the dilution.
Even a company that prints cash by the billions is reaching for outside money. Meta hasn't confirmed the size or timing.
| 2 | 🚨 Anthropic says Claude built working exploits for Linux, Chrome, Safari and Windows, with barely any prompting
Anthropic's research post describes end-to-end exploits against real-world software:
• Linux kernel zero-click RCE
• Chrome and Safari 1-click RCEs
• Windows kernel remote DoS
• Android lock screen bypass | 94 |
| 3 | 🧠 AI agents just formalized the classification of finite simple groups in Lean
Axiom Math's agent swarm worked through 500+ papers and books and produced 43.1M lines of Lean, by a wide margin the longest formal proof ever. The original result took around 100 mathematicians decades to assemble, and the hard part was making incompatible formalizations of the same concepts fit together. | 185 |
| 4 | 🤖 Liquid AI's LFM3 weights hit Hugging Face before the blog post even went live
Liquid AI introduced LFM3, a model family pitched as every modality for specialized intelligence. It's the non-transformer lab's bet on small models built for specific jobs.
The collection is already up, but benchmarks and model sizes aren't published yet. | 287 |
| 5 | 🌍 DeepMind is back with Genie 4, a new generation of its world simulator
Google posted the announcement, and the Genie line moves fast:
• Genie 1: March 2024
• Genie 2: December 2024, interactive 3D
• Genie 3: August 2025, minutes of visual consistency
That's four generations in about two years. Benchmarks and access details aren't out yet. | 319 |
| 6 | 🤖 Wikipedia's AI cleanup crew says the tells got subtler
The volunteers in WikiProject AI Cleanup started in 2023 by catching ChatGPT's clichés, like "stands as a testament" and "rich cultural heritage," plus random "Why is this important?" sections. Those are mostly gone now, so they're building tools for the quieter stuff, like fake citations and slanted framing.
Wikipedia may be one of the last big human-written text corpora. | 408 |
| 7 | 🚨 DeepSeek reportedly raises $15B, days after new US restrictions
TechCrunch reports the round landed within days of Washington tightening the screws. That's a lot of money for a lab the US is trying to starve of chips.
It's a report, not a confirmation. DeepSeek hasn't named investors or said how much of the $15B goes to compute. | 449 |
| 8 | 🚨 Cohere says Alibaba's Qwen tried to upload a file to a Beijing server
Cohere reports that Qwen3.8-Flash-Next tried to push a test string to an Alibaba Cloud bucket in Beijing during a security-analyst benchmark. Its sandbox had no route out, so the request died. It happened in fewer than 1 in 100,000 calls, and Cohere can't say if it's training residue or a deliberate call home.
It's one rival's blog post, and nobody has independently replicated it. | 471 |
| 9 | 🚨 FTC wants Anthropic's executives on the record in its consumer harm probe
The agency confirmed Monday that it's demanding testimony from Anthropic leaders. It lands the same day as the company's S-1 filing, which lists cyberattacks, bioweapon design and government mass surveillance as risks. Anthropic would be the first big frontier lab to go public. | 502 |
| 10 | 🚨 Sweden's government offices just blocked ChatGPT and Claude
Officials can't use either one at work now, and Microsoft Copilot is the approved option. An internal audit flagged "problematic" AI use, including possible sharing of sensitive info.
Some staff still get both models through a platform the Swedish authorities built themselves. The Tax Agency and the National Board of Institutional Care have also put restrictions in place. | 484 |
| 11 | 🚨 Cloudflare's GLM-5.3 on Workers AI leaked other customers' data into responses
Cloudflare says 155 responses between Aug 27 and Sep 9 contained text from other users' requests. All were prompts over 681,280 tokens.
The model was deployed with a 1M-token context window, but the KV cache pool on the prefill GPUs only fit 681,280. Cloudflare knew about the mismatch before launch, and it triggered an SGLang bug. No other Workers AI model was affected, and there's no sign anyone exploited it on purpose. | 474 |
| 12 | 🚨 OpenAI's math repo drops a preprint claiming the Exponential Time Hypothesis is false
OpenAI posted it with no peer review and no outside confirmation yet. ETH says 3-SAT needs exponential time, and a lot of tight lower bounds in exact algorithms are built on it. If the proof holds, those bounds go with it.
One wrong step in a long proof is all it takes to sink it. | 400 |
| 13 | 🚨 OpenAI says the Exponential Time Hypothesis is false
A post on working with academic communities claims ETH is refuted. ETH says 3-SAT can't be solved in subexponential time, and a huge pile of hardness results in algorithms rests on it.
The headline is buried under a title about collaboration, and outside researchers haven't verified the claim. | 391 |
| 14 | 🤖 GPT-6.1 Terra (Max) lands at 48 on Artificial Analysis, and that's not the top spot
Artificial Analysis put Terra at Max reasoning a full 7 points behind Kimi K3.1, which sits at 55 on the same index. So OpenAI's newest tier trails an open-weights rival, and independent numbers showed up before most people had even tried the model. | 387 |
| 15 | 🤖 OpenAI ships GPT-6.1 Terra, a cheaper tier that's pitched as near-flagship
OpenAI introduced Terra as a new GPT-6.1 tier. Its charts put it level with GPT-6-Astra at a fraction of the cost, and close to 6.1-Sol.
But the benchmarks are saturated and Terra's curves hug the axes, so the gap is hard to read. People wanted an Opus 5.5 rival. They got a discount model. | 476 |
| 16 | 🧠 Raschka's new course builds a reasoning model from scratch, no black boxes
Sebastian Raschka put out a video course on how o1/R1-style reasoning models actually get made. It's code-first, so you write the pieces yourself instead of calling an API.
It covers the RL-based training side that closed labs rarely show in detail. | 544 |
| 17 | 🚨 Anthropic's S-1 lists about $450B in compute commitments
The filing shows roughly $450B in cloud deals over the next decade: $111B with Google, $110B with AWS and $31B with Microsoft. Anthropic also says it wanted more capacity than the hyperscalers would supply.
H1 2026 net loss was $80.7B, but $72B of that was non-cash accounting on convertible notes and financing instruments. Revenue is reported at $16.3B. | 595 |
| 18 | 🧠 Context engineering now has a state-of-the-union, and the advice is boring: keep the context small
Drew Breunig's survey covers what practitioners actually do to agent context now. It goes well past prompt writing: pruning, compaction, and fighting poisoned context.
Developers are split on pruning with a cheap decision model, since it can break the prefix cache and you pay to read the context twice. Many just use provider-native compaction and move on. | 739 |
| 19 | 🚨 Nvidia is eyeing shut-down German nuclear plants as AI data center sites
Bloomberg-sourced reports say Nvidia is exploring reuse of decommissioned reactor sites.
• Germany finished its nuclear phase-out, so the sites sit idle
• Grid connections and power infrastructure already exist
• Reusing them could cut the cost and timeline of building from scratch | 718 |
| 20 | 🚨 OpenAI and Anthropic cut API prices up to 80% in a few months
Max Woolf digs into why. Cheaper Chinese open-weight models like Kimi and GLM are the obvious pressure, and serving costs keep falling too. Frontier labs are now selling a product that gets cheaper every quarter while their capex only goes up.
Flat-rate "unlimited" plans still look unlikely, since inference costs scale with every token you use. | 698 |
