Recent developments in the field of artificial intelligence have seen significant advancements, with companies like Tencent and Lenovo making strides in AI technology. Tencent has announced that it has a sufficient stockpile of high-end chips to train AI for generations, while Lenovo has unveiled a compact AI workstation called the ThinkStation PGX. Meanwhile, China has restricted the use of generative artificial intelligence in schools, and experts are warning of the growing security risks associated with agentic AI. In other news, AI startup Cohere has doubled its annualized revenue to $100 million, and Taiwan's annual Computex trade show will showcase the latest advances in artificial intelligence. Additionally, researchers and CEOs are emphasizing the importance of responsibly building and securing AI systems, as well as the need for companies to focus on building AI that can drive business value and revenue growth.
Key Takeaways
- Tencent has a strong stockpile of high-end chips to train AI for generations.
- China has restricted the use of generative artificial intelligence in schools.
- Lenovo has unveiled a compact AI workstation called the ThinkStation PGX.
- Agentic AI security risks are growing due to lack of regulation and oversight.
- Cohere has doubled its annualized revenue to $100 million.
- Taiwan's Computex trade show will showcase the latest advances in artificial intelligence.
- Experts emphasize the importance of responsibly building and securing AI systems.
- Companies need to focus on building AI that can drive business value and revenue growth.
- The US has imposed new export licensing restrictions for chips being sold to China.
- Researchers are working on AI platforms to advance mental wellness and attention.
Tencent Has Enough AI Chips
Tencent says it has a strong stockpile of high-end chips to train AI for generations. The company's president, Martin Lau, said they can rely on these chips to generate immediate returns, such as in their advertising business. Lau also mentioned that companies are moving away from the scaling law, which required continuous expansion of the training cluster. This means Tencent can achieve good training results with a smaller cluster, reducing the need for a large number of chips. The US has imposed new export licensing restrictions for chips being sold to China, but analysts say this will not slow down China's progress in AI.
China Restricts AI Use in Schools
China has restricted the use of generative artificial intelligence in schools. Primary school students are not allowed to use unrestricted generative AI tools on their own, while middle schoolers can explore how generative AI works. High schoolers are allowed to use the technology more broadly, but students are not allowed to directly copy AI-generated content into their homework. The guidelines aim to promote scientific and standardized AI education suited to different stages of education.
Lenovo Unveils Compact AI Workstation
Lenovo has unveiled a compact AI workstation called the ThinkStation PGX. The workstation is powered by an Nvidia GB10 Grace Blackwell Superchip and has 128 GB of coherent unified system memory. It delivers up to 1 PetaFLOP of performance, allowing users to work on models with up to 200 billion parameters. The PGX is designed for AI development and comes with the standard Nvidia software stack, as well as tools like PyTorch and Jupyter.
Tenable Powers AI-Driven Exposure Management
Tenable has announced enhancements to its flagship platform, Tenable One, with the introduction of Tenable One Connectors and customizable risk dashboards. The advancements are powered by Tenable ExposureAI and built on the Tenable Data Fabric. They make Tenable One the most advanced exposure management solution available today, allowing organizations to unlock a contextualized view of all their security risk data in one place.
Agentic AI Security Risks Grow
The use of agentic AI is growing rapidly, but security risks are also increasing. Agentic AI can make decisions and take actions without human oversight, leading to potential security breaches. The lack of regulation and oversight is exacerbating the problem, and companies are struggling to manage the risks associated with agentic AI. Experts are calling for a new operational model that treats agents like any other powerful actor in the environment, subject to rigorous validation, real-time monitoring, and enforceable policies.
Cohere Doubles Annualized Revenue
AI startup Cohere has doubled its annualized revenue to $100 million, driven by growing demand for secure and customized AI tools among enterprise clients. The company has shifted its focus to private deployments tailored for customers in regulated sectors, with roughly 85% of its business now coming from such deployments. Cohere has raised over $900 million from investors and was last valued at $5.5 billion.
Taiwan's Computex to Showcase AI Advances
Taiwan's annual Computex trade show will showcase the latest advances in artificial intelligence, with Nvidia CEO Jensen Huang set to deliver a keynote speech. The show will feature exhibits from top tech companies, including Qualcomm, Foxconn, and MediaTek. Huang is expected to announce new Nvidia partnerships with AI server firms in Taiwan, and the show will also highlight the potential impact of US tariffs on the tech industry.
Sreekanth Gopi's AI Path to Mental Wellness
Sreekanth Gopi has developed an AI platform called NeuroHeart.ai that aims to advance mental wellness and attention. The platform uses biofeedback, AI-generated music, and guided practices to help users manage stress and improve their focus. Gopi's research has shown that the platform can be effective in reducing stress and improving mental resilience, and he is now working to expand its impact into educational technology.
Dimitri Sirota on AI Security
Dimitri Sirota, Co-founder and CEO of BigID, has discussed the importance of responsibly building and securing AI systems. He emphasized the need for visibility, risk management, and zero-trust security frameworks to manage AI's increasing autonomy and complexity. Sirota also highlighted the risks associated with uncontrolled AI adoption, including the exposure of sensitive information and increased opportunities for cyberattacks and misuse.
Building AI That Sells
Eleanor Lightbody, CEO of Luminance, has discussed the importance of scaling smarter with AI. She emphasized the need for companies to focus on building AI that can drive business value and revenue growth. Lightbody also highlighted the importance of having a clear understanding of the market and the competition, as well as the need for companies to be agile and adaptable in their AI strategies.
Sources
- Navigating Challenges and Solutions in Data Security with AI - with Dimitri Sirota of BigID - Emerj Artificial Intelligence Research
- Agentic AI Is Everywhere — So Are the Security Risks
- Taiwan's Computex to showcase AI advances, Nvidia's Huang to take centre stage
- Tencent says it has enough high-end chips to train AI for 'generations' even if the US cuts it off
- Key AI hub China restricts schoolchildren's use of the tech
- Tenable's AI Platform Solves Critical Problem: Organizations Struggle with 83 Disconnected Security Tools
- Building AI That Sells: Scaling Smarter with Luminance CEO Eleanor Lightbody
- Lenovo unveils compact AI workstation equipped with Nvidia GB10 and 128 GB of system memory
- From Raga to RAG: Sreekanth Gopi’s AI Path to Advance Mental Wellness and Attention
- AI firm Cohere doubles annualized revenue to $100 million on enterprise focus