Author: Awais

[Submitted on 13 Mar 2026 (v1), last revised 16 Mar 2026 (this version, v2)] View a PDF of the paper titled From Text to Forecasts: Bridging Modality Gap with Temporal Evolution Semantic Space, by Lehui Li and 7 other authors View PDF HTML (experimental) Abstract:Incorporating textual information into time-series forecasting holds promise for addressing event-driven non-stationarity; however, a fundamental modality gap hinders effective fusion: textual descriptions express temporal impacts implicitly and qualitatively, whereas forecasting models rely on explicit and quantitative signals. Through controlled semi-synthetic experiments, we show that existing methods over-attend to redundant tokens and struggle to reliably translate textual…

can produce an incredible amount of content in a short span. This could be creating new features, reviewing production logs, or fixing a bug report. The bottleneck in software engineering and data science has moved from developing code to reviewing what the coding agents are building. In this article, I discuss how I effectively review Claude output to be an even more efficient engineer using Claude Code. This infographic highlights the main contents of this article, which is to show you how to review the output of coding agents more efficiently, to become an even more efficient engineer. Image by…

Google is incrementally improving metric visibility in Performance Max, giving advertisers more insight into how creative choices — particularly video — impact performance. What’s happening. Google Ads has introduced a new “Ads using video” segment within Performance Max channel performance reporting, allowing advertisers to break down results based on whether video assets were included. Why we care. Marketers can now compare performance across placements that used video versus those that didn’t, offering a clearer view into the role video plays across Google’s automated inventory. It helps answer a key question in an automated environment: whether investing in video assets is…

In this article, you will learn what recursive language models are, why they matter for long-input reasoning, and how they differ from standard long-context prompting, retrieval, and agentic systems. Topics we will cover include: Why long context alone does not solve reasoning over very large inputs How recursive language models use an external runtime and recursive sub-calls to process information The main tradeoffs, limitations, and practical use cases of this approach Let’s get right to it. Everything You Need to Know About Recursive Language ModelsImage by Editor Introduction If you are here, you have probably heard about recent work on…

Google has removed “What People Suggest,” a search feature that used AI to organize health perspectives from online discussions. The confirmation came as Google held its annual Check Up event, where it announced new AI health features for YouTube. A Google spokesperson confirmed the removal to The Guardian, calling it part of a “broader simplification” of the search results page. The spokesperson said the decision was unrelated to the quality or safety of the feature. The Guardian also reported, citing three people familiar with the matter, that the feature was pulled after a trial run. “What People Suggest” launched on…

It’s That Simple is our series about recipes so easy, you can make them with your eyes closed. Think tiny ingredient lists, laid-back techniques, and results so delicious you’ll text home about them.I’m convinced people who say they don’t like deviled eggs haven’t had a good one yet. I mean, I get it. This party app can be polarizing, especially if the only ones you’ve ever had are rubbery with barely any filling. It’s a common predicament, considering how little yolk there is to work with. Good news is: There’s a better way that will leave you with an extra…

Intentional consumption, episodic content and news creators. The social media landscape feels like a very different place right now than it did just a few years ago. And that’s reflected in the type of content people want to see and engage with, especially from brands. Our recent Q1 2026 Pulse Survey of over 2,000 social media users across the US, UK and Australia dug into an array of issues—from trust in news and brands to creators taking political stands to what they’re hoping to see and avoid from brands in 2026. The data throughout this article comes from the Q1…

[Submitted on 22 Jan 2026 (v1), last revised 15 Mar 2026 (this version, v3)] View a PDF of the paper titled Why Inference in Large Models Becomes Decomposable After Training, by Jidong Jin View PDF HTML (experimental) Abstract:Inference in large-scale AI models is typically performed on dense parameter matrices, leading to inference cost and system complexity that scale unsustainably with model size. This limitation does not arise from insufficient model capacity, but from treating post-training inference systems as monolithic operators while ignoring internal structures formed during learning. We show that gradient update events in large models are highly localized and…

Key Takeaways If you want maximum control and a truly unique site, go with WordPress.org. The software is free, you choose your host, and you can customize everything with themes and plugins (SEO, security, newsletters, memberships, etc.). It takes more upkeep than builders, but it scales the best. If you want WordPress flexibility on a tighter budget, Hostinger is a low-cost hosting route.  If you want a fast launch, use Wix or Squarespace. Both are hosted and low-maintenance. Wix is easiest for beginners (with easy-to-use features like drag-and-drop editing and AI-powered blog setup). Squarespace is best when design consistency and branding matter most.  If you want reach or a simple hobby blog with near-zero maintenance, use Medium or Blogger. Medium…

finally work. They call tools, reason through workflows, and actually complete tasks. Then the first real API bill arrives. For many teams, that’s the moment the question appears: “Should we just run this ourselves?” The good news is that self-hosting an LLM is no longer a research project or a massive ML infrastructure effort. With the right model, the right GPU, and a few battle-tested tools, you can run a production-grade LLM on a single machine you control. You’re probably here because one of these happened: Your OpenAI or Anthropic bill exploded You can’t send sensitive data outside your VPC…