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Graph self-supervised learning can reduce the need for labeled graph data and has been widely used in recommendation, social networks, and other web applications. However, existing methods often underuse high-frequency signals and may overfit to specific local patterns, which limits representation quality and generalization. We propose Frequency-Corrupt Based Graph Self-Supervised Learning (FC-GSSL), a method that builds corrupted graphs biased toward high-frequency information by corrupting nodes and edges according to their low-frequency contributions. These corrupted graphs are used as […]

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On March 10, my company, Vorticom, Inc. turns twenty-three years old. That milestone carries a bit more meaning when you consider the odds. According to the U.S. Small Business Administration’s Office of Advocacy, only about half of small businesses survive five years and roughly one-third make it to ten. When a company crosses into its third decade, it has already outlasted most of the businesses that began the journey with it. But the story of how Vorticom began […]

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I woke up this morning to Anthropic dropping Claude Opus 4.7. No slow rollout, no waitlist. Just a new model sitting in Claude Code, the API, and every major cloud provider simultaneously. I have been running Opus 4.6 as my default coding model for months. It has been the backbone of my agentic coding workflow, my content pipeline, and most of my production debugging sessions. So the first thing I did was throw my hardest open tasks at Opus 4.7 to […]

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A fully autonomous machine learning engineering agent. A benchmark that matters. And a question that cuts deeper than the hype: when a machine does the work, what happens to the learning part? The race to automate software engineering is expanding to new territory: machine learning. Neo is a fully autonomous machine learning engineering agent that handles the entire pipeline from problem statement to deployed model. Built by Gaurav and Saurabh Vij, Neo topped the MLE-Bench leaderboard and compressed a six-month […]

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Last month, I became aware of GitHub agentic workflows. I read the site carefully, but the use cases weren’t very exciting to me. I tried the continuous documentation It didn’t work out initially, and because of my lack of involvement, I left it as it was. However, I succeeded in another one that I want to describe in this post. Note: With lessons learned here, I managed to make the documentation workflow work! Every relevant change now creates […]

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Prediction markets reported their strongest week, with Kalshi hitting a notional volume of $3.54 billion while Polymarket recorded $2.48 billion; the industry’s combined notional volume crossed $6.5 billion, setting a new overall high, according to DeFi Rate. Image source: DeFi Rate This surge coincides with a positive outlook on the industry by Bank of America Analysts who expect sports-related events contracts to hit $1.1 trillion per year. Bernstein also estimates that total market volumes will reach $240 billion […]

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If you’ve glanced at a tech news feed anytime in the last year, you’ve likely felt the collective heart palpitations of the software development industry. Headlines scream about the “End of the Programmer” showcasing tools like Devin, GitHub Copilot and Cursor churning out entire web apps from a single text prompt It’s easy to fall into a spiral of existential dread. Will a neural network render your hard-earned computer science degree or boot camp certificate obsolete? Take a deep breath. […]

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