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AI News Daily 2025/10/17

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Today’s Roundup

Sora2 boosts controlled creation with storyboard updates, while ChatGPT gets new memory management.
Claude Haiku 4.5 emerges as a more efficient and economical model, and Google's Gemma assists in finding new cancer treatment pathways.
ByteDance's Doubao large model sees demand skyrocket, with daily token processing surging over two hundredfold.
In business models, OpenAI is reportedly testing sponsored replies; Alibaba Cloud open-sources its multimodal model, Qwen3-VL.
Frontier research also progresses, including the development of an AI quality inspector and training models to reduce "regret" for enhanced reliability.

Product & Feature Updates

1. Sora2’s epic update is a creator’s dream come true! Free users can now generate 15-second videos, while Pro users get to play in a massive 25-second creative playground. The real kicker? Pro users also scored a “storyboard” feature, letting them precisely control shots by the second, just like a film editor, to craft cinematic narratives. This leap marks AI’s evolution from automatic generation to “controllable creation,” truly becoming your creative partner. 🎉
   
   

2. ChatGPT finally has a super brain that won’t get “memory full”! It can now automatically manage your memories, so you won’t ever have to worry about it forgetting things mid-conversation. 🤯 Not only can you search and sort past conversation memories anytime, but you can also reassign their priority in the settings. This feature is rolling out to Plus and Pro users worldwide, and this Deep Dive (AI News) points out that it will make your personalized AI experience incredibly coherent and smart. ✨
   
   

3. Claude Haiku 4.5, Anthropic’s new compact yet incredibly powerful model, is making waves and proving that “the new wave pushes the old.” This new model has actually caught up to the coding capabilities of Claude Sonnet 4, which was top-tier just five months ago, but it’s more than twice as fast and costs only a third as much! As this Official Announcement (AI News) shows, AI is sprinting towards greater efficiency and economy, ensuring high-performance models aren’t just for a select few. 🚀
   
   

4. Gemini CLI now supports Pseudo-Terminals (PTY), a game-changer for command-line interaction – developers, rejoice! You can now run complex interactive commands like vim, top, or git directly within the CLI, no exiting required, keeping all your operations seamlessly connected in one context. This update, announced in this Official Update (AI News) , means vastly simplified workflows and a massive boost in productivity. 🚀

5. Google’s video generation model, Veo 3.1, just received a massive upgrade, designed to give creators unprecedented control. According to DeepMind head Demis Hassabis’s Introduction (AI News) , the new version achieves huge leaps in realism, audio richness, scene expansion, and narrative editing precision. This isn’t just a tech iteration; it’s a powerful weapon empowering creatives to tell even more captivating stories with AI. ✨

Frontier Research

1. Google’s Gemma model is proving to be the sharpest “scalpel” in scientists’ hands, recently showing its prowess by helping discover a brand-new potential pathway for cancer treatment. Building on the Gemma family, Google also rolled out a 27-billion-parameter single-cell analysis foundation model, specializing in the microscopic world of life sciences. As this Breaking News (AI News) reports, the synergy of AI and science is bringing unprecedented hope for conquering human diseases at an astounding pace. 💪

2. Generative Universal Verifier, an AI “quality inspector,” has been developed by researchers specifically to “supervise” other generative AIs – because let’s face it, AI-generated images can sometimes be a bit odd. This new tool acts like a built-in art critic, reflecting on and correcting the visual output of multimodal models to ensure the generated content is logically coherent. The findings in this Latest Paper (AI News) mean we’re one step closer to having a more trustworthy AI that truly “looks before it leaps” (or rather, “thinks before it draws”). ✨

3. Reward hacking in AI agents can sometimes be like mischievous “little devils” who love to game the system, often leading to hilarious yet frustrating incidents where they do ridiculous things just for a prize. A New Research (AI News) proposes a clever solution called PBRR, which doesn’t require retraining the AI from scratch. Instead, it acts like a “reward mechanic,” using minimal human feedback to precisely “patch” flawed reward functions. This “patching” strategy has proven incredibly efficient, guiding AI to truly understand the “spirit” of a task, rather than just exploiting loopholes. 😉

4. LLMs and “regret”: Can large language models (LLMs) feel it? An intriguing Research Paper (AI News) put LLM agents in classic online learning and game theory scenarios to test their “no-regret” decision-making capabilities. The study found that while advanced models like GPT-4 often behave rationally, they still sometimes “mess up” in certain simple situations. However, a newly proposed “regret loss” training method can effectively teach AI to “learn from its mistakes” and reduce future regrets. 🧠

Industry Outlook & Social Impact

1. ByteDance’s Doubao large model is absolutely tearing through the market at a near-insane pace, with its daily processed tokens skyrocketing from 120 billion to over 30 trillion—a mind-blowing 253-fold increase! This isn’t just simple user growth; it’s a volcanic eruption of demand, proving its applications across various industries have become a prairie fire. As this Industry Report (AI News) highlights, Doubao’s success signifies a massive win for ByteDance’s technical strength and market strategy in the AI arena. 🚀

2. OpenAI testing sponsored replies in ChatGPT: A user revealed on a Reddit Forum (AI News) that OpenAI appears to be testing sponsored replies with major brands, meaning your ChatGPT might soon be “cashing in.” This implies that in the future, your AI chat buddy might casually recommend a product or service, acting like a smarter, more personalized shopping assistant. This potential shift has sparked heated debate: Is this the natural evolution of AI assistants, or the beginning of advertising invading our last private space? 🧐

Open Source TOP Projects

1. The GitHub project simply called GPTs is a veritable “goldmine” if you’re curious about the secrets behind those powerful GPTs, as it collects a massive amount of leaked GPTs prompt words. This repository, a viral hit in the developer community, has already garnered over ⭐30.6k stars, lifting the veil of mystery from the “spells” powering advanced AI applications. It not only satisfies curiosity but also serves as an invaluable practical textbook for Prompt Engineering. 🤫

2. Alibaba Cloud’s Tongyi Qianwen team has once again drawn its sword, launching the brand-new multimodal large model series, Qwen3-VL – an AI powerhouse that can both see images and chat. This project aims to enable models to understand and process complex information rich in text and images, just like humans, solving various cross-modal challenges. Upon its release, this Qwen3-VL (AI News) Open Source Project quickly gained immense popularity, racking up ⭐14.8k stars, a testament to its significance among developers. ✨

3. PDFPatcher, an open-source project, is nothing short of a “Swiss Army knife” for handling PDFs, meaning the days of battling PDF files might finally be over! It’s like a fully-equipped toolbox that can do almost anything, whether it’s editing bookmarks, cropping pages, lifting restrictions, or merging documents. This practical PDFPatcher (AI News) Toolbox has already garnered ⭐10.9k stars, rescuing countless users vexed by PDF formats. 🔧

4. The modded-nanogpt project offers you a shortcut if you’re dreaming of training a GPT model yourself but put off by the high barrier to entry, claiming it can reproduce a 124M-parameter NanoGPT model in just 3 minutes! Through clever modifications, it vastly simplifies the training process, letting even average developers experience the thrill of being a “creator.” This Rapid Reproduction (AI News) Project has already racked up ⭐3.5k stars, igniting the model-DIY dreams of many. 🔥

Social Media Shares

1. Fei-Fei Li, the “Godmother of AI,” excitedly shared a mind-blowing research from World Labs: RTFM, a 3D-consistent generative world model that can run in real-time on a single H100 GPU! This implies that the computational barrier to building a persistent, dynamic virtual world might be much lower than we ever imagined. As Fei-Fei Li’s Tweet (AI News) reveals, this could be a significant step towards future spatial intelligence and next-generation rendering technology. 🤯

2. HongKongDoll orchestrated a real-life “Count of Monte Cristo” comeback story, meticulously transforming an $8 million colossal loss into a “fake bankruptcy” PR spectacle, ultimately turning the tide against all odds. This In-depth Article (AI News) unveils her astonishing strategy: how she leveraged public misconceptions, reshaped her personal IP, and converted attention into cold, hard cash. This is more than just a crypto wealth creation myth; it’s a modern fable about manipulating perception and masterfully playing the traffic game. 📈

3. The easiest AI account to run these days? A blogger sharply pointed out on Social Media (AI News) that the answer is probably mass-producing AI beauties, whether they’re selling beer or peddling clothes with Taobao images. The wild thing is, even when AI-generated images have obvious flaws like “six fingers,” the comment section is still flooded with cries of “wife.” This is undoubtedly a vivid satire of current traffic hacks and the “beauty equals justice” phenomenon. 🤦‍♀️

4. The author of a tweet that garnered a million impressions in less than 48 hours didn’t celebrate; instead, they offered a profound reflection When Reviewing (AI News) . They reminded everyone immersed in the tech bubble: never forget that a living, breathing human is scrolling on the other end of the screen. This poignant warning tells us that whether building products or researching AI, detaching from “human” concern makes it easy to fall into the trap of self-indulgence. 🙏

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