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prompt 🤖 AI News

prompt 🤖 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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El país no está especificadoTecnologías y Aplicaciones9 520

📈 Análisis del canal de Telegram prompt 🤖 AI News

El canal prompt 🤖 AI News (@prompt) en el segmento lingüístico de Inglés es un actor destacado. Actualmente la comunidad reúne a 13 366 suscriptores, ocupando la posición 9 520 en la categoría Tecnologías y Aplicaciones.

📊 Métricas de audiencia y dinámica

Desde su creación el невідомо, el proyecto ha mostrado un crecimiento acelerado, reuniendo a 13 366 suscriptores.

Según los últimos datos del 28 octubre, 2026, el canal mantiene una actividad estable. En los últimos 30 días la variación de miembros fue de 269, y en las últimas 24 horas de 10, conservando un alto alcance.

  • Estado de verificación: No verificado
  • Tasa de interacción (ER): El promedio de interacción de la audiencia es 6.46%. Durante las primeras 24 horas tras publicar, el contenido suele obtener 3.96% de reacciones respecto al total de suscriptores.
  • Alcance de las publicaciones: Cada publicación recibe en promedio 864 visualizaciones. En el primer día suele acumular 529 visualizaciones.
  • Reacciones e interacción: La audiencia responde de forma activa: el promedio de reacciones por publicación es 1.
  • Intereses temáticos: El contenido se centra en temas clave como openai, reasoning, gemini, gpu, math.

📝 Descripción y política de contenido

El autor describe el recurso como un espacio para expresar opiniones subjetivas:
“Welcome to @prompt, your go-to source for AI insights, breakthroughs, and tools shaping the future of intelligence. Contact: @LightEarendil”

Gracias a la alta frecuencia de actualizaciones (últimos datos recibidos el 29 octubre, 2026), el canal mantiene la vigencia y un amplio alcance. La analítica demuestra que la audiencia interactúa activamente con el contenido, lo que lo convierte en un punto de referencia dentro de la categoría Tecnologías y Aplicaciones.

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13 366
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+26930 días
Archivo de publicaciones
🚨 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.

🤖 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: • 552B backbone params, using a Causal Encoder-Decoder design • 8B active per token in prefill, 16B in decode • Roughly 1/4 the runtime KV cache and 1/8 the persistent KV cache of V4-Flash • 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: • Scores 59 on Artificial Analysis v5.0 • SEC-bench Pro 88.2% (finding vulnerabilities) • ExploitGym 54.8% • 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.

🤖 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. • Agents react to events like pull requests on GitHub, GitLab or Bitbucket • One command deploys: agent-sdk deploy • 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: • Linux kernel zero-click RCE • Chrome and Safari 1-click RCEs • Windows kernel remote DoS • 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.

🤖 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: • 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.

🤖 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.

🚨 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.