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НС ΠΏΠΎΠΏΠ°Π΄ΠΈΡ‚Π΅ΡΡŒ Π½Π° ΠΊΠ°Π½Π°Π» Π±ΠΎΡ‚Π°Π²ΠΎΠ΄Π°! Telemetrio Π½Π°Ρ…ΠΎΠ΄ΠΈΡ‚ ΠΈ ΠΏΠΎΠΌΠ΅Ρ‡Π°Π΅Ρ‚ Ρ‚Π°ΠΊΠΈΠ΅ ΠΊΠ°Π½Π°Π»Ρ‹ πŸ‘‰ Π₯ΠΎΡ‚ΠΈΡ‚Π΅ Π²ΠΈΠ΄Π΅Ρ‚ΡŒ ΠΌΠ΅Ρ‚ΠΊΡƒ β€” ΠΎΡ„ΠΎΡ€ΠΌΠΈΡ‚Π΅ подписку

prompt πŸ€– AI News

prompt πŸ€– AI News

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Welcome to @prompt, your go-to source for AI insights, breakthroughs, and tools shaping the future of intelligence. Contact: @LightEarendil

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Π‘Ρ‚Ρ€Π°Π½Π° Π½Π΅ ΡƒΠΊΠ°Π·Π°Π½Π°Π’Π΅Ρ…Π½ΠΎΠ»ΠΎΠ³ΠΈΠΈ ΠΈ прилоТСния9 520

πŸ“ˆ АналитичСский ΠΎΠ±Π·ΠΎΡ€ Telegram-ΠΊΠ°Π½Π°Π»Π° prompt πŸ€– AI News

Канал prompt πŸ€– AI News (@prompt) языкового сСгмСнта Английский являСтся Π°ΠΊΡ‚ΠΈΠ²Π½Ρ‹ΠΌ участником. БСйчас сообщСство ΠΎΠ±ΡŠΠ΅Π΄ΠΈΠ½ΡΠ΅Ρ‚ 13 366 подписчиков, занимая 9 520 мСсто Π² ΠΊΠ°Ρ‚Π΅Π³ΠΎΡ€ΠΈΠΈ Π’Π΅Ρ…Π½ΠΎΠ»ΠΎΠ³ΠΈΠΈ ΠΈ прилоТСния.

πŸ“Š ΠŸΠΎΠΊΠ°Π·Π°Ρ‚Π΅Π»ΠΈ Π°ΡƒΠ΄ΠΈΡ‚ΠΎΡ€ΠΈΠΈ ΠΈ Π΄ΠΈΠ½Π°ΠΌΠΈΠΊΠ°

Π‘ ΠΌΠΎΠΌΠ΅Π½Ρ‚Π° создания Π½Π΅Π²Ρ–Π΄ΠΎΠΌΠΎ ΠΏΡ€ΠΎΠ΅ΠΊΡ‚ дСмонстрируСт ΡΡ‚Ρ€Π΅ΠΌΠΈΡ‚Π΅Π»ΡŒΠ½Ρ‹ΠΉ рост, собрав Π°ΡƒΠ΄ΠΈΡ‚ΠΎΡ€ΠΈΡŽ ΠΈΠ· 13 366 подписчиков.

Богласно послСдним Π΄Π°Π½Π½Ρ‹ΠΌ ΠΎΡ‚ 28 октября, 2026, ΠΊΠ°Π½Π°Π» ΠΏΠΎΠΊΠ°Π·Ρ‹Π²Π°Π΅Ρ‚ ΡΡ‚Π°Π±ΠΈΠ»ΡŒΠ½ΡƒΡŽ Π°ΠΊΡ‚ΠΈΠ²Π½ΠΎΡΡ‚ΡŒ. Π—Π° послСдниС 30 Π΄Π½Π΅ΠΉ ΠΈΠ·ΠΌΠ΅Π½Π΅Π½ΠΈΠ΅ числа участников составило 269, Π° Π·Π° послСдниС 24 часа β€” 10, ΠΏΡ€ΠΈ этом ΠΎΠ±Ρ‰ΠΈΠΉ ΠΎΡ…Π²Π°Ρ‚ остаётся высоким.

  • Бтатус Π²Π΅Ρ€ΠΈΡ„ΠΈΠΊΠ°Ρ†ΠΈΠΈ: НС Π²Π΅Ρ€ΠΈΡ„ΠΈΡ†ΠΈΡ€ΠΎΠ²Π°Π½
  • Π£Ρ€ΠΎΠ²Π΅Π½ΡŒ вовлСчённости (ER): Π‘Ρ€Π΅Π΄Π½ΠΈΠΉ ΠΏΠΎΠΊΠ°Π·Π°Ρ‚Π΅Π»ΡŒ вовлСчённости Π°ΡƒΠ΄ΠΈΡ‚ΠΎΡ€ΠΈΠΈ составляСт 6.46%. Π’ ΠΏΠ΅Ρ€Π²Ρ‹Π΅ 24 часа послС ΠΏΡƒΠ±Π»ΠΈΠΊΠ°Ρ†ΠΈΠΈ ΠΊΠΎΠ½Ρ‚Π΅Π½Ρ‚ ΠΎΠ±Ρ‹Ρ‡Π½ΠΎ Π½Π°Π±ΠΈΡ€Π°Π΅Ρ‚ 3.96% Ρ€Π΅Π°ΠΊΡ†ΠΈΠΉ ΠΎΡ‚ ΠΎΠ±Ρ‰Π΅Π³ΠΎ числа подписчиков.
  • ΠžΡ…Π²Π°Ρ‚ ΠΏΡƒΠ±Π»ΠΈΠΊΠ°Ρ†ΠΈΠΉ: Π’ срСднСм ΠΊΠ°ΠΆΠ΄Ρ‹ΠΉ пост ΠΏΠΎΠ»ΡƒΡ‡Π°Π΅Ρ‚ 864 просмотров. Π’ Ρ‚Π΅Ρ‡Π΅Π½ΠΈΠ΅ ΠΏΠ΅Ρ€Π²Ρ‹Ρ… суток публикация Π½Π°Π±ΠΈΡ€Π°Π΅Ρ‚ 529 просмотров.
  • Π Π΅Π°ΠΊΡ†ΠΈΠΈ ΠΈ взаимодСйствия: Аудитория Π°ΠΊΡ‚ΠΈΠ²Π½ΠΎ ΠΏΠΎΠ΄Π΄Π΅Ρ€ΠΆΠΈΠ²Π°Π΅Ρ‚ ΠΊΠΎΠ½Ρ‚Π΅Π½Ρ‚: срСднСС количСство Ρ€Π΅Π°ΠΊΡ†ΠΈΠΉ Π½Π° ΠΎΠ΄ΠΈΠ½ пост β€” 1.
  • ВСматичСскиС интСрСсы: ΠšΠΎΠ½Ρ‚Π΅Π½Ρ‚ сосрСдоточСн Π½Π° ΠΊΠ»ΡŽΡ‡Π΅Π²Ρ‹Ρ… Ρ‚Π΅ΠΌΠ°Ρ…, Ρ‚Π°ΠΊΠΈΡ… ΠΊΠ°ΠΊ openai, reasoning, gemini, gpu, math.

πŸ“ ОписаниС ΠΈ контСнтная ΠΏΠΎΠ»ΠΈΡ‚ΠΈΠΊΠ°

Автор описываСт рСсурс ΠΊΠ°ΠΊ ΠΏΠ»ΠΎΡ‰Π°Π΄ΠΊΡƒ для выраТСния ΡΡƒΠ±ΡŠΠ΅ΠΊΡ‚ΠΈΠ²Π½ΠΎΠ³ΠΎ мнСния:
β€œWelcome to @prompt, your go-to source for AI insights, breakthroughs, and tools shaping the future of intelligence. Contact: @LightEarendil”

Благодаря высокой частотС ΠΎΠ±Π½ΠΎΠ²Π»Π΅Π½ΠΈΠΉ (послСдниС Π΄Π°Π½Π½Ρ‹Π΅ ΠΏΠΎΠ»ΡƒΡ‡Π΅Π½Ρ‹ 29 октября, 2026) ΠΊΠ°Π½Π°Π» ΠΏΠΎΠ΄Π΄Π΅Ρ€ΠΆΠΈΠ²Π°Π΅Ρ‚ Π°ΠΊΡ‚ΡƒΠ°Π»ΡŒΠ½ΠΎΡΡ‚ΡŒ ΠΈ высокий ΡƒΡ€ΠΎΠ²Π΅Π½ΡŒ ΠΎΡ…Π²Π°Ρ‚Π° ΠΏΡƒΠ±Π»ΠΈΠΊΠ°Ρ†ΠΈΠΉ. Аналитика ΠΏΠΎΠΊΠ°Π·Ρ‹Π²Π°Π΅Ρ‚, Ρ‡Ρ‚ΠΎ аудитория Π°ΠΊΡ‚ΠΈΠ²Π½ΠΎ взаимодСйствуСт с ΠΊΠΎΠ½Ρ‚Π΅Π½Ρ‚ΠΎΠΌ, Ρ‡Ρ‚ΠΎ Π΄Π΅Π»Π°Π΅Ρ‚ Π΅Π³ΠΎ Π²Π°ΠΆΠ½ΠΎΠΉ Ρ‚ΠΎΡ‡ΠΊΠΎΠΉ влияния Π² ΠΊΠ°Ρ‚Π΅Π³ΠΎΡ€ΠΈΠΈ Π’Π΅Ρ…Π½ΠΎΠ»ΠΎΠ³ΠΈΠΈ ΠΈ прилоТСния.

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Архив постов
🚨 The DOJ is asking questions about Nvidia buying Hugging Face Reuters reports that antitrust staff have started inquiring about the deal, citing anonymous sources. The biggest AI chip company would own the place where open models live. It's an inquiry, not a formal challenge. No timeline has been reported for the deal.

πŸ€– DeepSeek-V4.1-Flash is bigger than V4-Flash and needs about a quarter of the KV cache DeepSeek's paper describes a multimodal MoE with a 1M-token context: β€’ 552B backbone params, using a Causal Encoder-Decoder design β€’ 8B active per token in prefill, 16B in decode β€’ Roughly 1/4 the runtime KV cache and 1/8 the persistent KV cache of V4-Flash β€’ 437x smaller per-token cache than DeepSeek-V1 It's cheap where agents hurt most, which is input-heavy prompts.

🚨 Google's Gemini 4 Carbon takes #1 on the Artificial Analysis index, and you can't use it yet Google announced Carbon two weeks after Argon, pitched on cybersecurity and long-horizon work: β€’ Scores 59 on Artificial Analysis v5.0 β€’ SEC-bench Pro 88.2% (finding vulnerabilities) β€’ ExploitGym 54.8% β€’ CWE-bench 71.0% (patching) Access starts with a small group of cyber defenders. Everyone else waits, and the price is $2 per million input tokens, same as Argon.

πŸ€– Cursor ships the framework it uses internally to build its own agents Cursor released the Agent SDK. You define agents in code and deploy them to Cursor's infrastructure. It's the same stack behind Bugbot, Security Reviewer and Rollouts. β€’ Agents react to events like pull requests on GitHub, GitLab or Bitbucket β€’ One command deploys: agent-sdk deploy β€’ Example job: assess PR risk, route it to the right team, auto-approve what meets policy

🚨 Delaware wants AI agents to legally run companies, with no human in charge Ars Technica reports on a proposal that would let autonomous systems operate entire businesses in the state where most big US companies are incorporated. It's still only a proposal, and it doesn't say who gets sued when an agent breaks a contract.

🚨 Google's LLM bug hunter beat its best JS fuzzer, but only 45 to 37 Project Zero compared BigSleep and Fuzzilli on V8 over six months. BigSleep found 45 actionable vulnerabilities, Fuzzilli 37, and only about 25% of the bugs overlapped. Re-run on old Fuzzilli finds, BigSleep caught roughly 60%, or 70% with tweaked prompts. It did worse on JIT compiler bugs.

🧬 Anthropic now has in-house drug programs, plus six pharma and biotech partners Anthropic published early results with BMS, Generate Biomedicines, Enveda and three others. At Generate, Claude Code agents proposed 186 CAR T designs for lab testing, and one came out about 70% shorter with roughly 10x the surface receptors. Anthropic says the work is mostly preclinical, so almost none of it has reached humans yet.

🚨 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.

🚨 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: β€’ Linux kernel zero-click RCE β€’ Chrome and Safari 1-click RCEs β€’ Windows kernel remote DoS β€’ Android lock screen bypass

🧠 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.

πŸ€– 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.

🌍 DeepMind is back with Genie 4, a new generation of its world simulator Google posted the announcement, and the Genie line moves fast: β€’ Genie 1: March 2024 β€’ Genie 2: December 2024, interactive 3D β€’ Genie 3: August 2025, minutes of visual consistency That's four generations in about two years. Benchmarks and access details aren't out yet.

πŸ€– Wikipedia's AI cleanup crew says the tells got subtler The volunteers in WikiProject AI Cleanup started in 2023 by catching ChatGPT's clichΓ©s, 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.

🚨 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.

🚨 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.

🚨 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.

🚨 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.

🚨 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.

🚨 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.

🚨 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.