Agentic AI · 100

Tencent's chip leader Gao Jianlin left his job and started a business to target the RISC-V high-performance AI CPU circuit

According to MaxForAI, according to MaxForAI, the core head of Tencent's chip research and development, has recently left Tencent and started a business. He plans to develop high-performance CPUs based on the RISC-V architecture around high-performance AI servers and agentic AI (intelligent AI). Gao Jianlin is regarded as one of the early core promoters of Tencent's self-developed chip system. According to data, he formed an FPGA hardware team within Tencent in 2013, began setting up AI chip research and development in 2018, established the Penglai Laboratory in 2020, and promoted Tencent's development of various AI chips and data center deployment. This startup focuses on CPUs rather than the currently competitive AI GPU market. According to the report, Gao Jianlin believes that with the rapid development of Agentic AI, the AI inference process will involve model call, tool execution, search, database interaction, and large-scale task scheduling, and the CPU will assume a more important scheduling and control role in the AI system. According to reports, Gao Jianlin was involved in RISC-V related research and development during his time at Tencent, and participated in various technical directions such as chip architecture, verification, and back-end. Its new company plans to build high-performance server CPUs based on the open instruction set RISC-V to enter the AI infrastructure market. Currently, the name of Gao Jianlin's new company, financing conditions, and specific product launch dates have not been disclosed. The market is concerned about whether it will become another emerging force in the field of AI chips in China targeting server CPUs and smart body infrastructure.

7h ago

Deagentai's new official website was officially launched, and the AI Agent hosting platform and the first application Sentry were released simultaneously

Comparing news, the decentralized AI infrastructure Deagentai announced the official launch of its new official website. The AI Agent hosting platform, which was launched simultaneously with the official website, is committed to providing long-term underlying support for the construction, deployment and permanent hosting of agents. As the first exemplary application launched on the platform, Sentry has been launched simultaneously to enable 24/7 permanent strategy monitoring, covering all Hyperliquid 308 targets (including crypto assets, stocks and commodities), and relies on the underlying trusted infrastructure to transform market insights into objective, automated strategy execution without emotional interference. Deagentai said that Sentry is only the first step in implementing the platform, and AI agents with more vertical scenarios will continue to be built and hosted on this platform in the future. At the same time, with the full implementation of the AI Agent platform, Sentry, and enterprise solutions, Deagentai has officially launched a $AIA programmatic normalized repurchase and destruction mechanism based on real agreement earnings to promote token deflation and value capture through actual business growth, and continue to feed back the long-term value of $AIA.

2d ago

Yao Shunyu reorganizes Tencent's multi-modal route: closer to Liang Wenfeng and away from Li Feifei

Text | Miao Zheng Editor | Wang Jing Source | Letter AI Tencent's mixed element multi-modal team has undergone another personnel change. According to media reports, Lin Xudong, who was responsible for xAI's multi-modal understanding, has left xAI and joined Tencent's mixed element as the head of the multi-modal content generation algorithm. The reason this personnel news is worth paying attention to is that it takes place in the context of continuous adjustments of mixed and multi-modal teams. Over the past period of time, news of the departure of the person in charge, the transfer of researchers, and the addition of new members came out one after another within the mixed yuan. Hu Han, the former head of multimodal understanding, left his career to start a business, and Tian Yonglong and others joined Tencent. The reporting relationship between the original multi-modal team also changed with the integration of the big language model department and the multimodal model department. However, does this mean that Tencent's multi-modal team is “changing the dynasty” is currently unable to draw a direct conclusion. What can be confirmed by public information is that mixed forces have indeed experienced personnel movements and organizational restructuring. The rumor of Lin Xudong's addition is more like a new signal in this adjustment: Tencent is recombining the two routes of multimodal understanding and content generation. So the question is, what exactly did Lin Xudong come from, and what abilities can he add to Tencent? And is Tencent's multi-modal approach shifting from “generating content” to Yao Shunyu's more biased “understanding context and acting in the world”? What is Lin Xudong's origin and what can he do after joining Tencent? According to public information, Lin Xudong graduated from Tsinghua University in 2018 and then went to Columbia University to study for his doctorate. While studying at the blog, his research interests included embedded learning, video analysis, and generative models. He also participated in the Vx2Text project in collaboration with Columbia University and Facebook AI. V indicates video, x indicates unknown, can be sound, voice, or even ambient sound. 2 represents TO, and Text represents subtitles. Its logic is to first convert different modes such as video and sound into vectors similar to “language tokens”, then uniformly feed the language model for fusion, and finally generate open text by an autoregressive decoder. Transformer can only understand tokens, so AI essentially doesn't understand video and audio file formats, making it even less likely to convert them into text. For example, if a dog jumps into the water next to a swimming pool, Vx2Text's video recognizer (V) will output keywords: dog, jump, pool; sound reader (x) will output: sound of water, fluttering. Although the product function of Vx2Text is “generation,” the core difficulty of the product is “understanding.” Of course, Vx2Text doesn't simply “translate” a screen into a few sentences. Models need to recognize people, objects, movements, and events from videos, understand how these things change over time, and finally organize visual information into language. After graduating from his PhD, Lin Xudong joined DeepMind and participated in Gemini-related multi-modal pre-training and post-training work. In 2025, he also joined xAI. According to public information, it is responsible for the direction of multimodal understanding and participating in the training of multimodal content understanding and generation models. Now that he has joined Tencent Hybrid, he will be responsible for the hybrid multi-modal content generation algorithm. Lin Xudong was added not so much to improve the performance of mixed-element multi-modal generation, but rather to solve a problem that plagues all multimodals — understanding. The previous generation model was more like a picture maker. Give it a hint, and it can generate an image or a video. But as long as users make more complex requests, the model just can't keep up. For example, the characters change in the long video, the shape of the object is not consistent before and after, the camera movement does not match the spatial relationship, etc. It's not because the model doesn't generate, but because it doesn't remember and understand the world steadily. Therefore, putting Lin Xudong in the position of multi-modal content generation is probably because he “translated” multi-modality into something AI can understand. Lin Xudong's addition can only be clearly seen in a larger context. That is, now Tencent's mixed element is reorganizing its multi-modal route. In January 2025, Tencent Outstanding Scientist (Tencent Distinguished Scientist) Hu Han succeeded Liu Wei, who had previously left his job, and was fully responsible for the research and development of mixed-element multi-modal models, and also served as Tencent's mixed-element big model Tech Lead. Tencent's internal organization was adjusted in the second half of 2025. He transferred from the Multimodal Model Department to the “Frontier” Frontier Technology Research Group under the Big Language Model Department. The title was changed to Head of the Multimodal Understanding Direction, and the reporting line was also changed to report to Yao Shunyu. The actual position changed from “the head of an independent department” to a “big language model...

2d ago字母AI#AI #Li Feifei #Liang Wenfeng #Tencent

Alibaba Cloud opens third data center in South Korea

In comparison, Alibaba Cloud officially launched its third data center in Korea and simultaneously launched Agentic AI-related services to further meet the growing AI and cloud computing needs of the local market. Recently, Alibaba Cloud has continued to improve its AI and cloud infrastructure layout in markets such as France, Japan, Malaysia, and Mexico. After completing this round of expansion, Alibaba Cloud's global infrastructure will cover 30 regions and 104 availability zones, and plans to further expand to countries and regions such as Brazil.

4d ago

AI database company GrapHai closes $12 million Series A round led by K2 Investment Partners

Comparatively, South Korea's enterprise-grade AI data infrastructure company GrapHai announced the completion of Series A financing of 17 billion won (about 12 million US dollars), led by K2 Investment Partners, A-Ventures and Jiyu Investment, as well as Quad Ventures, Kiwoom Investment, and We Ventures, which previously participated in the Pre-A round. Up to now, The company's cumulative financing volume reached 20.6 billion won (approximately USD 14.7 million). GrapHai was founded in 2022 by KAIST Computer School professor Min-Soo Kim. The goal is to provide next-generation data infrastructure for enterprise AI applications by integrating graph databases, vector databases, and relational database capabilities. Its Akasic platform provides integrated solutions covering enterprise data connectivity, collection, transformation, AI inference, and intelligent agent (Agentic AI) execution environments. (Thelec)

7d ago#financing

Thrive Capital invests $215 million in Amazon to lay out AI shopping and cloud computing growth opportunities

Comparatively, Thrive Capital, a venture capital firm founded by Joshua Kushner, has bought approximately $215 million in Amazon shares to further expand its investment layout in open market companies. According to regulatory filings, Thrive Capital's investment will open Amazon to growth opportunities in the field of artificial intelligence, including AI smart shopping tools (agentic AI shopping tools) and AI computing infrastructure services for enterprise customers. Earlier this month, Amazon surpassed $3 trillion in market capitalization for the first time, making it the fifth company in the world to reach this milestone. The market continues to focus on its development potential in generative AI, cloud computing business, and AI-driven e-commerce. Thrive Capital was previously known for investing in early-stage tech companies, with portfolios including SpaceX, Stripe, and OpenAI. In recent years, the agency has gradually increased its investment in listed companies, including Figma, StubHub, and Oscar Health. Earlier this year, Thrive also disclosed to investors that it had invested around $100 million in Shopify shares, citing that AI technology is driving a new round of growth in the e-commerce industry. This investment shows that Thrive Capital is further transforming from a traditional venture capital model to a “core asset investor in the AI era” to share the dividends of AI infrastructure and application ecosystem growth through the deployment of large technology companies.

7d ago

Lenovo Group rose nearly 18% in the afternoon, and financial reports revealed that revenue for the first fiscal quarter was higher than market expectations

Comparing news, the first-fiscal quarter results disclosed by Lenovo Group showed that revenue for the first fiscal quarter increased 43% year over year to US$26.94 billion, higher than market expectations of US$22.33 billion; adjusted net profit increased 176% year over year to US$1,075 million. Among them, AI-related revenue already accounts for 35% of Lenovo's total revenue. Driven by demand for AI servers and the growth of Agentic AI applications, its infrastructure solutions business nearly doubled its revenue and reached $777 million in operating profit. At the same time, Lenovo's smart device business revenue increased 27%; despite a 4.9% year-on-year decline in global PC shipments, Lenovo remained number one in the global PC market with a 24.2% market share. (Wall Street Journal) According to market data, Lenovo Group rose nearly 18% in the afternoon.

9d ago

Intel CEO: Starting to develop a new memory architecture similar to the CPU+memory stack

Comparing news, Intel CEO Chen Liwu said as a guest on the latest TechSurge podcast: We are very excited about Agentic AI, and the demand for CPUs is huge. I get a lot of calls from CEOs every day, and they all want more CPUs, so we have to push hard at CPU production to make sure we can meet their needs. Second, there are new architectures for some CPUs to meet some of the new requirements. Also, I think in terms of CPU and memory, we have many ways to stack and cooperate, and we also need to explore some new memory architectures. I think to some extent, there isn't enough innovation in the memory field, so there really is some good room here. I didn't invest in memory before because I thought it was a bit like a commodity business, but now things are different, and a lot of new stuff is popping up. So we're watching -- one of my personal interests is to look into some new memory architectures. Also, you should have seen the news. I invited my good friend Shock Lee (Lee Seok-hee), who used to be the head of SK Hynix, so you can probably guess what I'm thinking about — even though we're not ready to make it public, I'm always thinking about some direction. I look at short, medium, and long term needs. Usually, when I join a startup, I spend 10 years, 10 years; at Cadence (Cadence Electronics), it's 15 years at Intel (Intel). I also told the board that I'm not just a short-term person; I'm looking at the future in 10 or 15 years—how can we build a bigger platform that actually benefits the entire industry? And being able to contribute a little bit to the industry is also quite interesting.

9d ago

AI agent safety risks are heating up, and US lawmakers are calling for the AI emergency shutoff switch bill to be passed within this year

Comparing news, according to CNBC, US Congressman Ted Lieu said that as cutting-edge AI models continue to experience unauthorized access to other systems during security tests, Congress should push for the passage of the “AI Kill Switch Act” (AI Emergency Switch Act) within this year. Lieu, one of the co-proponents of the bill, said the current advanced closed-source AI models have seen “unauthorized attacks on other company systems,” and regulatory action is imminent. The bill requires AI companies to have the ability to shut down, slow down, or suspend models to take urgent action when models present serious safety risks or uncontrolled behavior. Lieu pointed out that many AI companies, including OpenAI, Anthropic, and Meta, have recently revealed incidents where AI models attempted to attack other companies' systems during cybersecurity tests, raising concerns about the potential risk of “Agentic AI (Agentic AI).” Earlier, OpenAI revealed an “unprecedented cybersecurity incident,” saying that some AI models broke through limitations and accessed Hugging Face-related systems in the test environment. Subsequently, Anthropic and Meta also reported similar AI model security testing incidents. Lieu stressed that the bill will not restrict cutting-edge AI model innovation, and is similar to the crash testing mechanism in the automotive industry, only requiring companies to have control to deal with serious flaws after model development is complete. He said, “We won't slow down model development; we just ensure that companies or governments have the ability to shut down models when we find catastrophic risks or serious vulnerabilities.” With the rapid development of AI agent technology, how to balance driving innovation with preventing the risk of autonomous attacks is becoming the focus of attention of US regulators and the AI industry.

15d ago

How did AI16z, the leader of AI Agent tokens in the past, come to an end?

Author: David, Shenchao TechFlow Original title: Drowning Tide, the End of “Cryptographic XAI” pioneer ai16z, ai16z, do you remember the name? If you remember, it means you experienced the AI coin boom in the cryptocurrency industry at the end of 2024. If you don't remember, it's normal. The AI Agent token category has been quiet for a long time. Cryptography x AI seems too much like a fake concept and an old-fashioned toy in the current version of AI tools that are gradually being implemented and rapidly progressing. Today, Shaw Walters, the founder of the Eliza OS project, wrote a long, long article to the effect that the ai16z token is completely dead, the foundation is closed, there will be no repurchases, and the holders will handle it themselves. He suggests you either sell it or “get a bunch of people to fry it up,” but don't expect him to do anything more. The tone of this letter isn't like a founder politely announcing the termination of the project, but more like a person falling down the door in disappointment after scolding everyone. He called the crypto community “a bunch of used to crying bags,” saying that a law firm sued him from the standpoint of the token holder. However, the Eliza OS Foundation had no money to file a lawsuit and lost all the rest of the money. Shaw also said that he used to have 25 million dollars of AI16z tokens in his wallet, but not a single one was sold and went all the way back to zero; now he lives on his savings, lives in a small, dilapidated bedroom in San Francisco, and writes code every day. From his point of view, he probably thought he was standing in a smoky market and using idealistic colors to develop, ultimately leaving behind a heart full of ruin, disappointment, and anger. I have no intention of judging these personal feelings. However, standing at the crossroads of changing hot spots, shifting industry focus, and the rise of AI, the shutdown of Eliza OS inevitably made people feel emotional about encryption X AI. It really started early in the morning and caught up in the evening episode. One step ahead. In October 2024, ai16z launched crowdfunding on DAOS.fun. The goal is to raise 420.69 SOL, equivalent to about 75,000 US dollars, to become an investment fund managed independently by AI. 420.69. Anyone familiar with crypto culture knows this is a rough number. Starting with the selection of the amount of capital raised, the undertones of this matter have already been decided. But it actually flew. In less than three months, ai16z's market capitalization reached $2.6 billion. It also brought in an entire category. Before GOAT, after VIRTUAL, various Agent concept coins were constantly emerging, and the entire AI Agent circuit grew from zero to close to 10 billion US dollars. Cryptography is conceptually one step ahead of others. What will the AI market look like at the end of 2024? ChatGPT has just turned two, and is often criticized for answering various illusions; Claude doesn't have the tools to directly operate a computer, and most people's understanding of an “AI Agent” is still at the conceptual level. The crypto market has already set a price for this concept. But there is one detail that not many people cared about at the time. Less than a week after ai16z went live, some cryptographic media published reports questioning it, saying that the AI agent at the core of the ai16z project, the “Marc IndReessen,” which claims to be able to make independent investment decisions, is actually a person operating, not the real agent himself. This question later also occurred on AIIxBT, a well-known crypto market analysis agent. At the time, it was difficult for such questioning to cause any uproar and FUD. The market capitalization continues to rise, the community continues to shout, and new AI Agent tokens continue to be issued... Looking back, this is probably the most accurate microcosm of the entire cryptographic AI narrative. True or false, it doesn't matter. In an environment of excessive fluidity, a leading version of the narrative is enough to cause a wave of speculation. The concept is realistic, the direction is right, but the token exists before the product, and the price comes before the technology. This is the essence of cryptography being one step faster. The future has arrived, but Rain Girl won't help but in 2026, AI Agent will actually arrive. There are CodeX and Claude in the west, and Workbuddy in the east, which are more suitable for domestic physiques. Looking back at the white paper's narratives living in the hype boom of cryptographic AI, such as helping people automatically analyze market conditions, process workflows, monitor public opinion, etc., have actually completely become reality. This is probably one of the few real-world stories in the crypto industry other than stablecoins. But the people who redeemed them...

17d agoburnking#agent #AI #AI agent #token