16 กันยายน 2569
ข่าว AI
ข่าว AI ที่ควรรู้ในสัปดาห์นี้
Introducing Gemini 3.8 Live and 3.8 Live Extended Thinking
Google DeepMind released Gemini 3.8 Live and 3.8 Live Extended Thinking, real-time speech models that detect and switch between 97 languages in the middle of a conversation. Extended Thinking takes the top spot on the Artificial Analysis speech-to-speech index at 82.6. Every clip they speak carries a SynthID watermark.
อ่านต้นฉบับ →Siri AI, a profoundly more capable and personal assistant, is here
Apple's rebuilt Siri is rolling out in beta, in English first, with French, Japanese, Korean, Portuguese and Spanish arriving next month. It runs partly on the device and partly on Apple's Private Cloud Compute servers, on models Apple developed with Google.
อ่านต้นฉบับ →Perplexity's local agent comes to Windows, powered by NVIDIA RTX
Perplexity's Portable Computer agent now runs on your own Windows PC instead of in the cloud, on RTX cards with 24GB of VRAM or more. It uses a local Qwen 3.8 27B model, keeps your files on the machine, and work done locally doesn't spend your cloud credits.
อ่านต้นฉบับ →Inside 'Project Lily': the humans reading your ChatGPT chats
404 Media obtained internal material showing OpenAI hired hundreds of contractors to read real ChatGPT conversations and score the answers on a 1-to-7 scale. Most of the service's 900 million-plus users have no idea a person may read their chat. Anthropic confirmed it also uses human review.
อ่านต้นฉบับ →Google opens Anthropic's Claude to all of its engineers
Google gave every engineer access to Claude Opus 5 through its internal Antigravity IDE, breaking with a rule that pushed staff toward Gemini. Google says Gemini is still its primary model for internal development and that outside models come with a per-user quota.
อ่านต้นฉบับ →OpenAI boss says world 'right to be afraid' but should trust AI firms
OpenAI's Sam Altman told the BBC the world is right to be afraid of AI, but argued people should trust companies like his to build it responsibly.
อ่านต้นฉบับ →We don’t need AI regulation — leave safety to us, Nvidia’s Jensen Huang says
Nvidia's Jensen Huang says AI doesn't need new rules: "Safety is an engineering problem, not a legal one. We're developing software after all." He argues companies already avoid shipping unsafe products to protect their own reputation, and that having to choose between speed and safety is a false choice.
อ่านต้นฉบับ →พากย์เสียงและโอเพนซอร์ส
เครื่องมือเสียงและพากย์เสียงโอเพนซอร์สที่น่าลองตอนนี้
stronghamjji/PersoDub
แอปเดสก์ท็อปที่พากย์วิดีโอเป็นภาษาอื่นด้วยเสียงของผู้พูดคนเดิม แต่ละประโยคจะอยู่ในช่วงเวลาที่พูดไว้เดิมพอดี โดยไม่ยืดหรือบีบเสียงให้ลงตัว มีผู้ช่วยพากย์ในตัวด้วย บอกว่า "แปลประโยคที่ 4 ใหม่ให้พอดีความยาว" มันก็จะแปลแค่ประโยคนั้นใหม่แล้วสร้างเสียงขึ้นมาใหม่ ทุกอย่างทำงานบนเครื่องของคุณเอง
อ่านต้นฉบับ →
Vincentwei1021/anything2explainer
A new GitHub tool called "anything2explainer" generates narrated explainer videos from any topic using Claude Code and Codex, drawing each frame with code.
อ่านต้นฉบับ →
kruzovic7/ai-data-extractor
A free, open-source tool that pulls your chat history out of AI coding assistants, including Claude Code, Cursor, Windsurf, Aider and Cline/Roo Code.
อ่านต้นฉบับ →
สัปดาห์นี้บน X
เรื่องที่คนใน X สาย AI คุยกันสัปดาห์นี้
Google DeepMind (@GoogleDeepMind)
We're launching AlphaGenome Atlas: an AI-powered searchable database mapping the predicted impact of all 9 billion possible single-letter DNA changes. Here's how it could help researchers better understand our biology
อ่านต้นฉบับ →OpenDesign (@OpenDesignHQ)
We benchmarked DeepSeek V4.1 Flash by @deepseek_ai. It reached 98% of GPT-6 Astra's score at 1.4% of the cost on everyday design tasks based on user requests. Every model except Astra scored lower AND cost more. Are open models overtaking closed ones?
อ่านต้นฉบับ →Akshay (@akshay_pachaar)
Brilliant paper by NVIDIA. they found a way to make KV cache transferable between models. the target model skips prefill entirely, and the conversion runs 2.7 to 25x faster than processing the context again.
อ่านต้นฉบับ →el.cine (@EHuanglu)
never thought AI could do video editing. now i think my 14 yrs editing experience is done. GPT-6 Astra watched 84 clips, edit, trim, find music in my library and even generated subtitles on davinci resolve all by itself.. this is so scary
อ่านต้นฉบับ →Cognition (@cognition)
Introducing Devin Voice. Your favorite AI software engineer just got a landline. You say it, Devin ships it. Powered by GPT-Live and our new SWE-2 model.
อ่านต้นฉบับ →รับฉบับหน้าทางอีเมล
เลือกได้ 8 ภาษา ยกเลิกเมื่อไหร่ก็ได้