Quantum
The world of quantum computing is experiencing a surge of momentum, with recent announcements from tech giants Amazon and Microsoft adding fuel to the already rapid pace of innovation. These developments, alongside ongoing research breakthroughs, signal a potential transformation in how we approach computation. One of the most significant trends
Crypto
President Trump's recent announcement of a "Crypto Strategic Reserve" has set the cryptocurrency world alight. This initiative outlines plans for the U.S. government to actively engage in the purchase and sale of cryptocurrencies, aiming to establish the nation as a global leader in the digital
AI
ByteDance's release of AIBrix appears to be a significant advancement in the practical application of Large Language Models (LLMs), particularly within enterprise environments. This Kubernetes-based serving stack, specifically designed to augment vLLM, leverages ByteDance's extensive experience deploying LLMs at scale. The project addresses the critical transition
AI
Recent discourse within the AI community has centered on model distillation, notably fueled by speculation surrounding DeepSeek's R1 model. Distillation, in essence, is a technique whereby the outputs of a large, high-performing model are utilized to train a smaller, more efficient model. This process, exemplified by the rumored
Weekly 3x3
From Solana futures and fragile payments infrastructure to negative power prices and soaring data-center energy demand, markets are testing new edges. AI research pushes into finance and long-context reliability as real-world constraints bite.
AI
Think about how we learn. We absorb facts, connect them, remember key details, and build a bigger picture over time. Current AI struggles with this. LLMs are good at processing information in front of them, but they have a hard time remembering things from earlier in a long text or
AI
A recent paper from China introduces Sundial, a family of time series models that appears to represent a significant leap forward in time series forecasting. To understand Sundial's potential impact, it's helpful to trace the evolution of this field, which has deep roots stretching back centuries.
Weekly 3x3
Stagflation risk is back on the agenda as chip policy wobbles and pressure builds to reshore manufacturing. In AI, leaders warn against overregulation, hyperscalers move into chip design, and research pushes long-context efficiency and reasoning under constraints.
AI
The buzz around DeepSeek is undeniable, and for good reason. But the really extraordinary thing isn't some magical new algorithm. It's their clever application and combination of existing techniques. DeepSeek has shown us that there’s still plenty of optimization out there to discover. Their approach
AI
The field of Large Language Model (LLM) application development is a hotbed of innovation, with researchers and engineers constantly developing new software engineering practices and architectural patterns to optimize performance. Retrieval-Augmented Generation (RAG) was a significant early advancement, enabling LLMs to access and integrate external knowledge. However, for long-context LLMs,
Blog
If your LinkedIn feed is anything like mine, you’ll have read a lot about Jevons Paradox over the last few days. This paradox suggests that increasing the efficiency of resource use can sometimes lead to an increase in overall consumption. In the context of AI, this means that even
AI
AI is evolving rapidly, with new models and engineering techniques emerging thick and fast. Recently, a Chinese company called DeepSeek has been making waves, not just for the impressive results they've achieved, but for how they've achieved them. Their approach offers a valuable lesson in innovation,
