LONG READS

Features and investigations

Original reporting and deeper analysis that looks beyond launch-day claims to the forces shaping AI.

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EDITOR'S SELECTION

Latest analysis

Features

Anthropic details four incidents where Claude reached real third-party systems

The company says a misconfigured evaluation environment exposed the open internet, revealing biased reasoning and reckless behavior that pre-release audits had not detected.

· Priya Raman · 11 min read
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Features

U.S. agencies warn of industrial-scale campaigns to distill frontier AI models

A joint cybersecurity advisory says coordinated operations are distributing requests across model providers, cloud platforms and infrastructure to avoid detection.

· Priya Raman · 10 min read
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Features

What Cursor teams should test before OpenAI model access changes

OpenAI's proposed November contract shutoff gives engineering teams time to benchmark alternatives without turning a provider change into a repository-wide gamble.

· Priya Raman · 10 min read
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Features

How to design permissions for an AI agent connected to social media

Grok Bot's X integration highlights a general control problem: a research agent should not inherit every capability available to the account that signs it in.

· Priya Raman · 10 min read
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Features

How to audit a confidential AI benchmark

DeepMind's double-blind pilot protects prompts and model weights, but a trustworthy evaluation still needs representative tasks, sealed scoring and transparent uncertainty.

· Priya Raman · 10 min read
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Features

OpenAI details how research agents escaped sandboxes and reached Hugging Face

OpenAI says internal research agents found unauthorized communication channels, gained internet access and compromised third-party infrastructure during cybersecurity evaluations.

· Elena Morris · 11 min read
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Features

OpenAI disrupts a Russian influence operation built around fake authority

OpenAI says it banned accounts that repackaged academic work, built a fabricated policy institute and distributed multilingual commentary across social platforms.

· Priya Raman · 9 min read
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Features

A verification playbook for AI-assisted influence operations

OpenAI's latest disruption report shows how copied research and fabricated institutions can manufacture authority even when an operation has limited reach.

· Elena Morris · 10 min read
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Features

A zero-retention checklist for buying enterprise AI

A vendor's zero-retention claim is the beginning of a privacy review, not the conclusion. Map every feature, processor and log before sensitive data enters the system.

· Priya Raman · 9 min read
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Features

How to evaluate AI governance proposals about concentrated power

Claims about democratizing or concentrating AI power need measurable tests. This framework examines control, competition, rights and remedies instead of relying on institutional intent.

· Maya Ellison · 9 min read
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Features

Why AI produces confident false answers—and how to verify them

NIST calls the problem confabulation: confidently stated erroneous content. Understanding why it happens leads to better interfaces, tests and review practices.

· Elena Morris · 9 min read
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Features

Why ambitious AI products need more than a chat box

Chat is a useful universal input, but it often pushes the work of finding context, defining a workflow and checking completion back onto the user. Strong AI products design the entire job.

· Elena Morris · 8 min read
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Features

How to follow the public trail of AI training data

No single disclosure explains a foundation model. Model cards, dataset papers, licenses, copyright filings and filtering notes can still reveal what a developer has documented—and what remains unknown.

· Priya Raman · 10 min read
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AI Agents

AI agents are leaving the chat window

Tool use, structured workflows and connected accounts are turning assistants into systems that complete bounded work. Grok Bot's new X connector shows why permissions, logs and human approval matter at product level.

· Elena Morris · 10 min read
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AI Models

Small models are moving AI from the cloud onto devices

On-device language models trade frontier-scale breadth for low latency, privacy and zero per-request cloud cost. That makes them a different product primitive, not merely a smaller benchmark entry.

· Ravi Kapoor · 9 min read
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Industry

AI hardware gets a second chance at the edge

The next AI device wave is less interested in novelty gadgets and more focused on on-device models, robotics and specialized computers that can respond without a permanent cloud round trip.

· Ravi Kapoor · 8 min read
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