Ohio State launches Arts and Humanities AI Institute to support research and teaching - Ohio State News
Ohio State launches Arts and Humanities AI Institute to support research and teaching Ohio State News
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Academic Proof-of-Work in the Age of LLMs
Written quickly as part of the Inkhaven Residency . Related: Bureaucracy as active ingredient , pain as active ingredient A widely known secret in academia is that many of the formalities serve in large part proof of work . That is, the reason expensive procedures exist is that some way of filtering must exist, and the amount of effort invested can often be a good proxy for the quality of the work. Specifically, the pool of research is vast, and good research can often be hard to identify. Even engaging in research enough to understand its quality can be expensive. As a result, people look toward signs of visible, expensive effort in order to determine whether to engage in the research at all. Why do people insist only on reading research that’s published in well-formatted, well-written pa
Choosing an AI Agent Orchestrator in 2026: A Practical Comparison
Running one AI coding agent is easy. Running three in parallel on the same codebase is where things get interesting — and where you need to make a tooling choice. There's no "best" orchestrator. There's the right one for your workflow. Here's an honest comparison of five approaches, with the tradeoffs I've seen after months of running multi-agent setups. The Options 1. Raw tmux Scripts What it is: Shell scripts that launch agents in tmux panes. DIY orchestration. Pros: Zero dependencies beyond tmux Full control over every detail No abstractions to fight You already know how it works Cons: No state management — you track everything manually No message routing between agents No test gating — agents declare "done" without verification Breaks when agents crash or hit context limits You become
How AI Is Changing the Way We Build Online Businesses
Not long ago, building an online business meant: months of development hiring developers large upfront costs Today? AI has completely changed the game. Now, one person can go from idea → to revenue faster than ever before. And this shift is just getting started. ⚠️ The Old Way vs The New Way Before AI: Build everything from scratch Spend weeks on infrastructure Launch slowly Iterate even slower With AI: Build faster Automate key tasks Launch quickly Iterate in real time The difference is massive. 🧠 AI Is Reducing the Cost of Building One of the biggest changes: 👉 Building is no longer the bottleneck AI helps with: generating content writing code automating workflows handling repetitive tasks What used to take weeks… 👉 now takes days ⚙️ Infrastructure Is No Longer the Hard Part Another s
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Series Week 20 / 52 — Differentiating Patching differences between Exadata On Prem and OCI Databases (DB Systems and ExaCS)
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Why Ahrefs Shows Backlinks but Google Doesn’t (Technical Breakdown + Fix Guide)
If you’re building backlinks and seeing them in Ahrefs but not in Google Search Console, you’re not dealing with a bug. You’re dealing with two different systems. 🔍 Problem Overview Typical pattern: Backlink is live Ahrefs detects it in 24–48 hours Google shows nothing Weeks pass → still nothing This leads to a wrong assumption: Google is missing my backlinks That’s not what’s happening. ⚙️ Core Difference: Discovery vs Validation Ahrefs = discovery system Google = validation system Ahrefs: Crawls aggressively Records links instantly Doesn’t require indexing Google: Crawl → Index → Evaluate → Filter → Report Requires indexing Applies strict filtering If a backlink fails any step → it won’t appear in Google. 🧩 How Google Processes a Backlink 1. Crawl Layer Google must find the linking pag
Improved markdown quality, code intelligence for 248 languages, and more in Kreuzberg v4.7.0
Kreuzberg v4.7.0 is here. Kreuzberg is a Rust-core document intelligence library that works with Python, TypeScript/Node.js, Go, Ruby, Java, C#, PHP, Elixir, R, C, and WASM. We’ve added several features, integrated OpenWEBUI, and made a big improvement in quality across all formats. There is also a new markdown rendering layer and new HTML output, which we now support. And much more (which you can find in our the release notes ). The main highlight is code intelligence and extraction. Kreuzberg now supports 248 formats through our tree-sitter-language-pack library . This is a step toward making Kreuzberg an engine for agents too. You can efficiently parse code, allowing direct integration as a library for agents and via MCP. Agents work with code repositories, review pull requests, index c
Truckloads of food are being wasted because computers won’t approve them
Modern food systems may look stable on the surface, but they are increasingly dependent on digital systems that can quietly become a major point of failure. Today, food must be “recognized” by databases and automated platforms to be transported, sold, or even released, meaning that if systems go down, food can effectively become unusable—even when it’s physically available.
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