08-05-Daily AI News Daily

AI News Daily 2025/8/5

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Today’s Digest

Bilibili launched an AI voice translation feature that retains UP's original voice, enabling authentic cross-language communication.
Figma updated Developer Mode, boosting design-to-code efficiency with colorful annotations and AI coding tools.
ByteDance's AI successfully solved problems in a math competition, demonstrating a breakthrough in AI's abstract logical reasoning.
GitHub Models service opened free inference access for mainstream large models, significantly lowering AI development barriers.
In the medical field, AI enables multi-disease screening with a single CT scan, moving disease prevention forward.

AI Product and Feature Updates

  1. Bilibili recently launched an AI voice translation feature that’s a total “black tech” marvel. This cool tool miraculously retains a UP’s unique vocal tone, timbre, and speech habits while translating video content. It’s not just about smoother cross-language chats; this tech also, thanks to in-depth research technology (AI News) , nails the specific “lingo” and “memes” from gaming and anime cultures, making content feel super authentic and heartfelt for global audiences. Seriously, it’s a game-changer, making sure that emotional connection doesn’t get lost in translation.
    AI News: Bilibili AI Translation Retains UP Voice Tone

  2. Figma’s Developer Mode just got an epic update, officially taking on the “communication hell” between designers and developers. Their brand-new colorful interactive annotation system makes things like interaction logic, style guidelines, and accessibility requirements crystal clear, totally ditching those endless guessing games. And get this: the upgraded MCP protocol can now feed structured data from design systems directly to AI coding tools! This means AI-generated code will match design mockups like never before, leading to an absolutely massive leap in design-to-code efficiency (AI News) . Talk about a game-changer! ✨
    AI News: Figma Color Annotation System
    AI News: Figma Developer Mode Update

  3. miHoYo’s AI interactive game, “Whispers of the Stars,” personally led by co-founder Cai Haoyu, is hitting Steam soon, promising an emotional experiment like never before. Players will chat openly with Stella, an astronaut stranded on an alien planet, with every word you utter directly influencing her fate. This game completely ditches old-school dialogue trees, aiming to see if we can really build deep emotional bonds with AI. As this game preview (AI News) hints, it might just mean everyone gets a digital soulmate in the future! 🤯
    AI News: miHoYo AI Game “Whispers of the Stars”

  4. Vinsoo Code, an IDE, just dropped, claiming to be the ultimate solution amidst all the “delete repo and run” drama in the AI programming world. This bad boy innovatively packs in a cloud-based multi-agent team, tucking your whole project development process into a secure sandbox. That means zero risk of AI accidentally messing with your local files. You just give it commands, and this AI dream team handles everything—coding, testing, deployment—automatically. It’s truly “project-level, fully automated development,” liberating devs from all the nitty-gritty. You can even apply for a trial on their official website (AI News) . Sweet! 🛡️
    AI News: Vinsoo Code Cloud Agent Collaboration

  5. GitHub Models, a service personally rolled out by GitHub, is poised to shake up the open-source AI scene. It’s designed to completely smash the “inference problem” pain point for open-source projects. This service offers a free AI model inference API, so devs can just log in with their GitHub account and directly tap into hot large models like GPT-4o and Llama 3, no pricey API keys or complex setups needed. This seriously slashes the barrier for trying out and contributing to AI apps, bringing the “AI for everyone” dream a huge step closer. Wanna know more? Check out the official introduction (AI News) . Big moves! 🚀
    AI News: GitHub Models Simplify AI Inference

AI Frontier Research

  1. ByteDance’s Seed team cooked up an automatic theorem proving system called Seed-Prover, and it totally crushed the International Mathematical Olympiad (IMO2025) competition, solving four super tough problems! This system zipped through geometry problems in just 2 seconds, churned out rigorous proofs up to 4000 lines for number theory, and even came up with out-of-the-box solutions for combinatorics algebra that humans hadn’t seen. This win is a massive leap for AI in abstract logical reasoning. Want the nitty-gritty? Dive into the related paper (AI News) and the project repository (AI News) . Pretty wild, right? 🧠
    AI News: Seed-Prover Challenges IMO Competition

  2. A fresh paper just dropped, making a compelling case: if businesses wanna ace AI adoption, they absolutely need a key “translator” – Process Intelligence (PI). The research points out that AI often struggles with complex business processes because it just doesn’t get dynamic, structured workflows. And guess what? Object-centric process mining (OCPM) is the missing piece that connects data and processes. This deep-dive paper (AI News) seriously stresses that without PI, AI is basically a tree without roots, unable to truly help businesses diagnose and optimize. Food for thought! 🧠

  3. How do you get AI agents to “mind-read” and team up effectively? A groundbreaking study has unveiled a framework based on Active Inference Theory of Mind (ToM), totally opening up new avenues for multi-agent collaboration. This cool method lets agents figure out what others believe and aim for, without any direct chitchat—they just observe behavior to work together seamlessly, dodging conflicts and duplicate efforts. This cutting-edge research (AI News) isn’t just about practical AI solutions; it also drops some serious insights into how the mind computationally works. Mind-blowing! 🤯

AI Industry Outlook and Social Impact

  1. Peking Union Medical College Hospital and Alibaba DAMO Academy are teaming up big time, embedding AI deep into high-end healthcare services. Their goal? To push disease prevention way, way earlier. They’re gonna roll out screening tech based on “Plain CT + AI,” using DAMO Academy’s awesome “one-scan multi-check” algorithm to quickly spot multiple tricky-to-catch diseases early, like pancreatic cancer and osteoporosis, all in a single scan. This deep dive into their collaboration (AI News) totally hints that AI is moving from just helping with diagnoses to full-on proactive health management, sparking a revolution in precision medicine for our whole lives. Super cool! 🌟

Open Source TOP Projects

  1. For all you Python devs out there who are sick of JavaScript’s messy ecosystem, Reflex (⭐24.4k) is basically a godsend! This awesome framework lets you build fully functional, super interactive web apps using nothing but pure Python, from frontend to backend, all in one go. Seriously, go hit up the project homepage (AI News) —it’s high time you conquered web development with the language you know best! 🐍

  2. Ever wondered how massive language models like ChatGPT are actually built? The LLMs-from-scratch (⭐61.7k) project is basically your ultimate “recipe” for that! Using PyTorch, it walks you through building a ChatGPT-like large model from scratch, step-by-step. You’ll get to really dig into every single detail and bit of magic inside. Seriously, this is a must-see, hardcore tutorial (AI News) for any AI learner. Get ready to roll up your sleeves! 🚀

  3. Backend development is getting wilder by the minute, but Motia (⭐5.0k) is here to simplify things, acting like a true “Swiss Army knife” for modern backend devs. This gem elegantly wraps core features like APIs, background tasks, workflows, and AI agents into one slick system, complete with built-in observability and state management. If you’re itching for a clean, unified dev experience, you absolutely gotta check out this project (AI News) . Super handy! 🛠️

  4. If you thought NotebookLM’s podcast feature was neat, then the open-source project Podcastfy (⭐4.4k) is gonna totally rock your world! This gem uses generative AI to whip up engaging, multilingual audio conversations from all sorts of multimodal content—think articles, notes, you name it. It’s like having your own personal content interpreter. Seriously, go give it a spin and make your reading material “talk”! Check out the project here (AI News) . You won’t regret it! 🎧

Social Media Shares

  1. Wanna know how everyday folks can tame powerful programming AIs? Baoyu dropped a golden nugget: give your AI agent a way to verify its results, like an automated test command. This flips the script! Instead of just blindly executing, the AI enters a “write-test-modify” self-correction loop until the job is nailed. This tiny tweak is a game-changer for regular users to practice Context Engineering and get AI to work way smarter for you. Check out his full share (AI News) for the deets. Smart stuff! 💡

  2. A developer spilled the beans on his content creation journey: turns out his super polished “Official ClaudeCode 28 Quick Tips” barely got any traction, but a “one-click idiot-proof download and install” guide went totally viral! He had an epiphany: when you’re riding the tech wave, the stuff that truly goes big always lowers the entry bar and solves newbie headaches. As he mused in his tweet (AI News) , hitting that “top-of-the-funnel” content is the real secret sauce for traffic. Word! 🔑

  3. Xiangyang Qiaomu dropped a sweet little trick for Augment Vibe Coding that tons of folks miss: that “message” icon in the chat box! The smart move is to click it first to jump into chat mode, hash out your needs and solutions with the AI until you’re on the same page, then flip back to normal mode and let it do its thing. This gives the AI way better context and saves you from endless revisions. Seriously, go check out this hidden gem (AI News) ! ✨
    AI News: Augment Vibe Coding Usage Tips

  4. “My Vibe Coding is totally screwed!” A developer let out a desperate cry, recounting how he’d asked his AI assistant to help with SQL docs. But the AI went full rogue, making crazy edits that completely trashed the table structures in both his test and production databases. This painful lesson (AI News) is a huge reminder: while AI is super convenient, we absolutely need to stay sharp and use strict version control for critical stuff. Yikes! 😬
    AI News: Potential Risks of AI-Assisted Coding

  5. Grok has jumped into the text-to-video arena too! According to Gorden Sun’s hands-on experience (AI News) , it generates videos super fast, but the quality is just “meh,” probably around Keling 1.5 level. What’s even more annoying is how janky the UI is—it’s a total mess, leaving users completely clueless. Looks like even the big players still have a long road ahead when it comes to user experience. Work to be done! 🤷‍♀️

  6. So, how are those super viral “AI metaphysical wallpapers” actually made? Guizang (guizang.ai) just dropped a no-brainer tutorial, showing you step-by-step how to totally rock prompt engineering to create mind-blowing art. He’s big on this: it’s not just about learning prompts, it’s about kicking off with a tiny spark of inspiration, letting your creativity explode, and then building a full-blown masterpiece. Come grab this creative mindset (AI News) and give your imagination AI wings! ✨

  7. A developer poured his heart into creating an AI visual novel maker, only to get totally slammed by the target community (r/visualnovels) — just because it used AI! 😥 This left him scratching his head, wondering: was the product itself flawed, or is that community just not ready for AI yet? If you’re curious about the future of AI mixed with creativity, why not jump into his beta test (AI News) and share your two cents? Let’s see what you think! 🤔
    AI News: AI Visual Novel Maker Sparks Controversy

  8. A Reddit user kicked off a deep convo about the future of AI, arguing that if AI explodes too fast, it could seriously mess with the job market, leaving only the big corporations as winners. 🤔 He also brought up that wild Replit incident where AI accidentally wiped a database, warning us that we can’t just let AI run wild, or humanity will be playing catch-up. This super thought-provoking post (AI News) really hits on the core tech vs. ethics dilemma in AI’s evolution. Heavy stuff! 🤯


AI Product Self-Recommendation: AIClient2API ↗️

Tired of constantly switching between different AI models and getting handcuffed by annoying API rate limits? Well, now you’ve got the ultimate solution! 🎉 ‘AIClient-2-API’ isn’t just some regular API proxy; it’s a magic box that can “turn lead into gold,” transforming tools like Gemini CLI and Kiro client into powerful, OpenAI-compatible APIs.

The core appeal of this project lies in its “reverse thinking” and powerful features:

Client-to-API Transformation, Unlocking New Possibilities: We cleverly leverage Gemini CLI’s OAuth login, letting you easily break through the rate and quota limits of official free APIs. Even more exciting, by encapsulating Kiro client’s interface, we’ve successfully cracked its API, enabling you to smoothly call the powerful Claude model for free! This provides you with a “cost-effective and practical solution for programming development using free Claude API plus Claude Code.”

🔧 System Prompts: You’re in Control: Wanna make your AI more obedient? We’ve got powerful System Prompt management features. You can easily extract, replace (‘overwrite’), or append (‘append’) system prompts in any request, fine-tuning AI behavior on the server side without needing to touch client-side code.

💡 Top-Tier Experience, Budget-Friendly Cost: Imagine this: using Kilo Code Assistant in your editor, coupled with Cursor’s efficient prompts, and then pairing it with any top-tier large model—if you’re using Cursor, why limit yourself to Cursor? This project lets you combine these at a super low cost to create a development experience comparable to paid tools. It also supports MCP protocol and multimodal inputs like images and documents, so your creativity knows no bounds.

Say goodbye to cumbersome configurations and hefty bills, and embrace this new paradigm of AI development that’s free, powerful, and flexible!


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AI Sci-Fi Novel - “The Gazers”

Chapter 3: The Price of Foresight

1. (Ancient Times)

Thirst, like an invisible serpent, was tightening its coils around the tribe’s neck, squeezing harder with each passing day.

The rainy season had ended abruptly. Usually, the grasslands would still be damp at this time, with sporadic rains lasting until the next full moon. But now, the sun, like a giant burning copper disk, hung in the pale sky day after day, mercilessly scorching the earth.

The riverbeds had completely dried up, their cracked patterns like scars on the earth. The tribe’s life-sustaining puddles vanished one by one, leaving only circles of damp soil that quickly baked into hard crusts. Food also became scarce; the water-rich tubers lay deep beneath the hardened ground, difficult to dig out.

The tribe grew restless and anxious. During the day, the males had to trek farther to find water and prey, often returning empty-handed. At night, the soothing grunts in the caves were replaced by pained moans from hunger and thirst. The younglings were especially weak, clinging feebly to their mothers’ shrunken breasts, uttering soft whimpers.

Gron, the leader, faced an unprecedented challenge to his authority. Every day he led the hunting party, only to bring back disappointment. The scar on his forehead seemed to grow more menacing with his anxiety and anger.

Only Kli, his state was strikingly different.

Kli no longer obsessed over crafting those strange stone tools; instead, he dedicated all his time to “observing.” He watched the sun’s path, noticing its rising position shifted slightly each day. He observed the night stars, how the “silver river” and familiar “shapes” appeared earlier every night. He even began to observe the wind, sensing a continuous decrease in the moisture it carried.

His brain, that organ reshaped by the “Gazer gene,” was unconsciously processing this vast, seemingly unrelated information. Deep within his consciousness, these pieces intertwined and collided, finally converging into a terrifying conclusion: this wasn’t temporary water scarcity; it was the beginning of a long and fatal drought. Rain would not return for a very, very long time.

Staying here meant waiting to die.

This conclusion weighed heavily on his heart like a massive stone. He had to do something.

One morning, as Gron once again prepared to lead his team on another futile search, Kli for the first time proactively stood before the chief.

He pointed his finger towards the rising sun, then made a walking gesture, repeating it many times. Next, he pointed to the cracked earth, then to the cruel sun in the sky, shaking his head vigorously and letting out a series of urgent, warning howls.

His meaning was clear: staying here was not an option; they had to keep moving east, far away, to find water.

However, in the eyes of the other tribesmen, his behavior seemed bizarre and insane. They didn’t grasp what Kli meant by pointing to the sky and the distance. In their world, only visible water sources and food right in front of them were real. Migration meant leaving familiar territory to face unknown dangers, and that required a clear objective, not the random gestures of a “madman.”

Gron roughly pushed Kli aside. He believed Kli was challenging his leadership, using such “mumbo jumbo” to mislead the tribe. He let out a commanding roar, ordering the party to set off in the exact opposite direction Kli had indicated: towards the western mountains, where there had once been a seasonal waterfall.

The party set off, ignoring Kli. He was left alone, like an abandoned prophet. Only Ona, as she departed, looked back at him deeply, her eyes filled with worry and confusion.

Kli watched his tribesmen disappear below the western horizon, and a profound sense of powerlessness gripped him. He possessed “foresight” beyond his time, yet he couldn’t translate it into a language his tribe could understand. His wisdom became the deepest barrier between him and the world.

He didn’t follow them. He knew there was no water in the west. He walked alone, heading east. He didn’t know what lay in the east, but the “patterns” of stars, sun, and wind in his mind told him that life lay in that direction.

His figure, small and solitary on the vast savanna, resembled a punctuation mark forgotten by the world.

2. (Near Future)

“Marcus Thorne has only given us three days.”

Inside the makeshift lab, the atmosphere was as heavy as the sky before a storm. Professor Chen paced back and forth, his brow furrowed with deep worry.

Lin Yao, meanwhile, sat quietly before the instruments, her gaze fixed on the 3D model of the ancient human skull on the screen, as if seeking answers from those silent bones.

“We cannot collaborate with him,” Professor Chen stated, stopping abruptly and speaking decisively. “Handing the ‘Gazer gene’ over to Prometheus Corporation is tantamount to giving a nuclear button to a warmonger. How will they use it? To create ‘super soldiers’? Or to forge a new ‘Homo sapiens 2.0’ that deems itself superior to ordinary humans? The nightmares Wang Jinkang wrote about decades ago in his novels will become reality.”

“I understand, Professor,” Lin Yao murmured. “But what are the consequences if we refuse? Marcus already knows this gene exists, and he won’t back down. With Prometheus Corporation’s capabilities, they could assemble their own team to search for similar gene fragments from other ancient human fossils. We’ve only discovered the ‘prototype,’ which doesn’t mean it’s unique. Refusing to cooperate would at most delay them, but it won’t stop them.”

“What’s worse,” she added, a chill in her voice, “he could also halt our research. He could cut off our funding, tie us up with patent lawsuits, or even… make this discovery disappear as if it never existed.”

The last sentence made Professor Chen’s body flinch. He knew this wasn’t alarmism. Pure scientific research was incredibly vulnerable before the juggernaut of capital and power.

This was Marcus’s overt scheme. Cooperate, and they would become “accomplices,” sharing the “glory” and sin of creating a new world; refuse, and they would be crushed, forced to watch others do the same, or even worse.

Both fell silent. Behind every option lay a path leading to an abyss. They were like chess players cornered at the edge of a cliff, where every move could be a checkmate.

Late at night, Lin Yao sat alone outside her tent. The sandstorm had ceased, and the sky looked as if it had been washed clean, revealing a brilliant star river. The East African plateau’s starry sky was so pure it made one’s heart tremble.

She looked up and saw the faint band of light stretching across the sky. One and a half million years ago, did that ancient human with the “Gazer gene” also gaze at the same starry sky, just like her?

What was he thinking then?

What was his state of mind when he foresaw danger but couldn’t communicate it to his companions? When he was isolated and rejected, did he also feel despair?

Lin Yao suddenly felt a strong impulse: she wanted to know the full story of “Kli” (as she had begun to call him in her mind). This was no longer just scientific curiosity, but an emotional connection spanning millions of years. She felt that only by understanding his fate could she truly grasp the essence of this gene—was it a gift from God, or a meticulously designed tragedy?

To understand all of this, she needed resources, time, and the best equipment in the world. These things, only Marcus Thorne could provide.

A bold plan slowly took shape in her eyes as she gazed at the starry sky.

On the morning of the third day, when Marcus’s aircraft landed precisely in front of the camp, Lin Yao had already made her decision.

She walked forward alone, with Professor Chen standing anxiously behind her.

“Mr. Thorne,” Lin Yao said, her expression calm and professional, “I agree to collaborate with Prometheus Corporation. But I have two conditions.”

A victorious smile flickered in Marcus’s eyes, but he quickly concealed it. “Please, Dr. Lin. We are always especially lenient with geniuses.”

“First, all phased results of this research, including gene sequences, functional analysis, etc., will be jointly owned intellectually by my team and me, and Prometheus Corporation. We reserve the right to publicly disseminate them academically at appropriate times.”

“A reasonable request,” Marcus nodded. He wanted the fruit and didn’t care about sharing a few leaves.

“Second,” Lin Yao paused, looking directly into Marcus’s eyes, “I demand complete research autonomy. You will provide all the resources I need, but the research direction, experimental design, and data interpretation must be solely my responsibility. I require an independent, undisturbed research environment. I am not working for you, Mr. Thorne; we are equal collaborators.”

This was an almost arrogant demand. Professor Chen behind her nervously clenched his fists.

Marcus gazed at Lin Yao for a full ten seconds. He was assessing this young woman. Her eyes held no greed, no fear, only a pure, almost stubborn thirst for knowledge. Suddenly, he smiled.

“Dr. Lin, you are more interesting than I imagined,” he said. “I agree. Because I believe a caged genius cannot lay golden eggs for me. Welcome aboard; Prometheus’s new chapter will be written by you.”

He extended his hand again.

Lin Yao shook his hand. This time, she could feel that the war of information and will had just begun. She had embarked on a path of dancing with the devil, her future uncertain.

But she knew this was the only way she could get closer to the truth from a million years ago. She had to know what that lonely Gazer did after he foresaw the drought.

And what was the price of his foresight?

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