Azeem Azhar: “It is my baseline view that AI, on its current iterative trajectory, will move faster into the economy than previous technology waves. Faster, by the way, does not mean instantaneous. Think in the order of five years rather than a decade plus.”
Pratyush Buddiga: “Worrying about competitors or strategizing around maintaining a structural competitive advantage versus other players makes little sense when the game itself is in a state of flux and dynamic change. The only moat, if any, that a startup can have in the early days may be uncertainty: the market is too too small, the tech nascent, the business model unproven, etc…That uncertainty advantage seems to have been reduced as of late as startups and tech have become mainstream. While there are still companies that can build moats early due to operating in a small niche, it’s rare to find those operating in these verticals that have the possibility of exploding into something larger. Meanwhile, nearly every semi-obvious idea has dozens of competitors. VCs are happy to post a new market map with plausible whitespace every week. In the AI world, where access to the best technology is either an API call or open-source implementation away, most startups are drowning in a sea of me-too challengers.”
VentureBeat: “For digital commerce, the interaction point for shoppers has always been the storefront, on every device, and a human has done the browsing, selecting, ordering and returning. But agentic shopping is on the horizon, or AI handling all those tasks on behalf of the human consumer. For retailers, that means optimizing product and customer data, pricing, inventory and more for an AI on the hunt at the direction of the human. “The AI is interacting with the brands, the manufacturers, the retailers, but this is not just about putting another layer in between the human and the company,” Hoerig says. “This is a fundamental shift in how shoppers experience brands and retailers, and it’s upending the customer journey, not to mention customer acquisition, marketing and sales tactics.” For example, retailers currently design shopping experiences around human behavior, placing upsell and cross-sell opportunities where shoppers are most likely to add extra items. However, as AI-driven shopping agents become more common, this approach may fall short. These AI shoppers, focused on finding the best product match through data, aren’t swayed by impulse buys. To offset customer acquisition costs and maintain profitability, retailers must rethink their strategies to cater to AI-driven purchasing behavior.”
SCMP: “A new generation of Chinese entrepreneurs, represented by a group of start-up founders known as the “Fantastic Four”, are reshaping the global technology landscape and helping China in its rivalry with the US. Liang Wenfeng, founder of Hangzhou-based artificial intelligence (AI) start-up DeepSeek, along with Wang Xingxing, Zhang Yiming and Wang Tao, the founders of Unitree Robotics, ByteDance and DJI, respectively, are being hailed for their role in transforming China into a formidable tech power.”
FT: “Through distillation, companies take a large language model — dubbed a “teacher” model — which generates the next likely word in a sentence. The teacher model generates data which then trains a smaller “student” model, helping to quickly transfer knowledge and predictions of the bigger model to the smaller one. While distillation has been widely used for years, recent advances have led industry experts to believe the process will increasingly be a boon for start-ups seeking cost-effective ways to build applications based on the technology. “Distillation is quite magical,” said Olivier Godement, head of product for OpenAI’s platform. “It’s the process of essentially taking a very large smart frontier model and using that model to teach a smaller model . . . very capable in specific tasks that is super cheap and super fast to execute.””
