Optimizing for “Near Me”: Winning Local Traffic with Voice Search
Voice search has transformed the way people look for nearby products and services, replacing typed keywords with natural, question-based queries. When a user says, “pizza delivery near me” or “nearest pet clinic,” they expect instant, hyper-local answers. For businesses, showing up in these voice results is no longer optional—it is the new frontline of local discovery. By understanding how voice assistants interpret intent and by refining every local signal your brand sends, you can secure the coveted top spot and convert spoken searches into steady foot traffic. Understand Voice Search Intent Voice queries carry intent that is immediate and location-driven. […]
3 Business Tips During a Recession
3 Business Tips During a Recession If there’s one thing that recessions are, they’re tough. They’re tough for all sorts of different reasons — from dropping sales to the general anxiety of the unknown. Trying to steer your business through the turbulent waters of an economic downturn can feel like nothing short of a horror movie. The good news is that, like any storm, it eventually passes. It’s all about navigating the waters and surviving with the right strategy in the end. Believe it or not, your business can survive an economic downturn if you know the right methods to […]
An Intro and History of Knowledge Graphs
This article from AI Magazine explores the rise of knowledge graphs (KGs) as a powerful tool for organizing and integrating information. It delves into the history of KGs, highlighting their evolution from early semantic networks to the large-scale, complex systems we see today. The article contrasts key approaches to building and using KGs, including symbolic versus vector representation, human versus machine curation, and “little semantics” versus “big semantics.” It then explores various applications of KGs, such as organizing open information on the web (e.g., Wikidata), integrating data within organizations, and representing knowledge for AI algorithms. Finally, the authors discuss the future […]
LLMs, Knowledge Graphs, and Hallucination
This research paper examines the relationship between the size of language models (LMs) and their propensity to hallucinate, which occurs when an LM generates information that is not present in its training data. The authors specifically focus on factual hallucinations, where a correct answer appears verbatim in the training set. To control for the content of the training data, the researchers created a dataset based on a knowledge graph (KG), which is a structured representation of knowledge. They trained a series of increasingly large LMs on this KG dataset and found that larger, longer-trained models hallucinate less. However, achieving a […]
AIs Improving Themselves? Automated Design of Agentic Systems
The paper proposes a new research area called Automated Design of Agentic Systems (ADAS), which aims to automatically create powerful AI systems, including inventing new components and combining them in novel ways. The authors introduce Meta Agent Search, an algorithm that uses a meta agent to iteratively program increasingly sophisticated agents by learning from a growing archive of previously discovered agents. The paper demonstrates that Meta Agent Search can discover agents that outperform hand-designed systems across various domains, including coding, science, and math, showing promise for efficiently developing increasingly capable AI systems. Importantly, the discovered agents demonstrate robustness and generalizability, […]
The Secret School for the World’s Best Startup Founders
This article from The Generalist examines Avra Capital, a new kind of venture fund founded by Anu Hariharan, a former Y Combinator executive. Avra’s unique approach combines a selective program for growth-stage entrepreneurs with a venture fund. The program provides founders with tactical masterclasses, taught by experienced CEOs, covering crucial aspects like executive hiring, maintaining rapid growth, and financial planning. Avra differentiates itself by prioritizing education over direct investment, offering a unique value proposition for entrepreneurs. The article explores the program’s curriculum and structure, highlighting its data-driven sourcing methods, personalized curriculum, and commitment to open and candid discussions. The author […]
AI Art, DiTs and the new Dynamic Diffusion Transformer (DyDiT)
The provided sources describe a novel approach, Dynamic Diffusion Transformer (DyDiT), designed to improve the computational efficiency of Diffusion Transformer (DiT) models for image generation. DyDiT dynamically adapts its computational resources based on the varying complexities associated with different timesteps and spatial regions during image generation. This dynamic architecture allows the model to achieve significant reductions in computational costs and generation times while maintaining comparable performance to its static counterpart DiT. The authors demonstrate the effectiveness of DyDiT through extensive experiments on multiple datasets and model sizes, and further discuss its compatibility with other efficient diffusion model techniques. Read the […]
Bye James Cameron! Meta AI’s NEW Movie Gen Model
This research paper from Meta AI describes “Movie Gen,” a series of foundational models capable of generating high-quality videos and synchronized audio. The paper discusses the models’ capabilities, including text-to-video synthesis, video personalization, video editing, and audio generation. It outlines the architecture, training process, and evaluation metrics used for each model, along with a detailed comparison to existing techniques and commercial systems. The authors emphasize the importance of scaling training data, compute, and model parameters for improved performance and explore different parallelism techniques to optimize the training process. The paper also delves into the challenges of evaluating video generation and […]
Aha! Helping StartUp Developers Give a @#$ About Your Product
This article, written by the Head of Developer Community at SignalFire, a venture capital firm, provides a guide for startup founders on how to develop a successful developer relations strategy. The author emphasizes the importance of focusing on the “aha” moment, or the point at which developers experience the core value of a product. The article also highlights the benefits of co-creating with developers, building a stellar developer experience, and focusing on specific communities rather than trying to be everywhere at once. It provides tactics and metrics for each stage of the process, and ultimately argues that a strong developer […]
Part II: Cheryl’s Birthday and LLM Theory of Mind
The text explores the ability of Large Language Models (LLMs) to understand and reason about the knowledge states of different individuals. It does this by testing nine LLMs on the “Cheryl’s Birthday Problem,” a logic puzzle that requires the solver to deduce the correct birthday based on statements made by two people with varying levels of knowledge. The researchers found that while all the LLMs were familiar with the problem and could correctly recall the answer, none were able to write a program that could solve the puzzle for any set of possible dates. This suggests that, at least in […]