Tag: machine learning

The Architect of Democracy: How Bailey Flanigan is Bridging Code and Civic Participation

In the landscape of modern academia, the silos between "hard" science and the humanities have long been considered impassable. However, Bailey Flanigan, a rising star in computational social science and a newly appointed faculty member at the Massachusetts Institute of Technology (MIT), is proving that the most pressing problems of the 21st century exist exactly […]

The New Frontier of AI Vulnerability: Defending Agentic Systems Against Prompt Injection and Tool Misuse

As artificial intelligence transitions from passive, conversational chatbots to autonomous agents capable of complex reasoning, planning, and execution, the cybersecurity landscape has shifted irrevocably. Modern AI agents are no longer just generating text; they are reading databases, executing code, sending emails, and interacting with critical business infrastructure. While these capabilities unlock unprecedented productivity, they also […]

The Glass Horse: Christopher Nolan and the Rising Tide of AI Skepticism

As Christopher Nolan’s latest cinematic epic, The Odyssey, shatters box office records, the director has pivoted from the technical mastery of his production to a more philosophical battleground: the encroaching ubiquity of artificial intelligence. In a recent, widely discussed interview with YouTube creator Hugo Travers (HugoDécrypte), the Oscar-winning filmmaker offered a striking metaphor for our […]

How the UK Is Turning Sovereign AI Ambition Into Action With NVIDIA Technologies

A year ago at London Tech Week, NVIDIA founder and CEO Jensen Huang and U.K. Prime Minister Keir Starmer made a declaration: the U.K. would be an AI maker, not an AI taker.  At this year’s event, NVIDIA and its partners are showcasing how that commitment is producing real momentum across the nation’s infrastructure, startups […]

A Deep Dive into Calibration of Language Models: Platt Scaling, Isotonic Regression, Temperature Scaling

  # Introduction   A model that says it is 90% confident should be right 90% of the time. When that relationship breaks down, you get a miscalibration problem. The model’s scores stop telling you anything useful about reliability. For large language models (LLMs), miscalibration is widespread. A 2024 NAACL survey found that confidence scores diverge […]

We Should Train AI to Betray Its Users

The dilemma employee at an engineering company but have uncovered a deadly secret. Your company is performing ill-advised engineering activities that have already killed six contractors in a landslide. Despite this the company is pressing ahead, creating risks of further landslides, a catastrophic dam breach and/ or groundwater contamination. Instead of dealing with the problem, […]

Is this the dawn of the Tokenpocalypse?

Microsoft recently announced major pricing changes for GitHub Copilot — changes that were drastic enough that a Reddit user said their company has started calling it the Tokenpocalypse. On the latest episode of TechCrunch’s Equity podcast, Kirsten Korosec, Sean O’Kane, and I discussed what those changes might mean for the larger AI ecosystem. After all, […]

In this article, you will learn how sentence embeddings work and how to build a fully client-side semantic search engine using Transformers.js, with no server, no API key, and no backend infrastructure required. Topics we will cover include: Building Semantic Search with Transformers.js and Sentence Embeddings Introduction You’ve probably shipped this bug before, where a […]

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