AUTHOR
Priya Raman
Research & Trust Editor
Priya covers voice interfaces, AI evaluation and systems designed to support trustworthy research. She specializes in how benchmarks translate—or fail to translate—to real users.
Email Priya →Experience and editorial focus
Her editorial work centers on multilingual evaluation, source quality and human oversight in automated decision systems.
Areas of expertise
- Voice AI
- Model evaluation
- Research integrity
LATEST WORK
Articles by Priya Raman
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.
11 min read →FeaturesU.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.
10 min read →Research & DataOpenAI says it has reached its automated research intern milestone
OpenAI reports that supervised agents can now complete meaningful parts of its internal research workflow, while emphasizing that humans still choose directions and validate results.
9 min read →Audio & VoiceOpen ASR Leaderboard adds Hindi and Indian English evaluation sets
Voice Arena and Hugging Face have added speaker-disjoint Hindi and Indian English datasets designed to expose regional, device and demographic performance differences.
10 min read →FeaturesWhat 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.
10 min read →CodingA supervised self-repair case shows why compiling is not an agent safety check
A newly published engineering account describes an unattended code-repair loop that was safe only because an unrelated bug stopped it before it could rewrite files.
9 min read →FeaturesHow 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.
10 min read →Research & DataOpenAI study separates ChatGPT gains from critical-thinking training
A randomized experiment with more than 1,000 Bocconi students found that ChatGPT access improved polished task performance while causal-reasoning training broadened ideas.
9 min read →FeaturesHow 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.
10 min read →Audio & VoiceGoogle launches Gemini 3.5 Transcribe in public preview
Google's new speech-to-text model supports streaming and recorded audio, custom vocabulary, word-level timestamps and automatic detection across more than 85 languages.
9 min read →Research & DataHow to evaluate a transcription model that rewrites speech
Gemini 3.5 Transcribe can remove filler words, format text and resolve corrections. Those features require separate tests for readability, fidelity and decision-critical accuracy.
10 min read →FeaturesOpenAI 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.
9 min read →Audio & VoiceIBM releases two compact Granite Speech 5 transcription models
IBM's new 470-million-parameter English speech-recognition models target high-throughput transcription, with separate commercial and noncommercial checkpoints.
8 min read →Research & DataHow to evaluate a custom AI inference chip benchmark
OpenAI's Jalapeño results provide a timely case study in separating chip metrics, system performance and real application value.
10 min read →Research & DataHow to read an AI inference energy benchmark
NVIDIA's Vera Rubin claims put throughput per megawatt in the spotlight. This framework separates useful efficiency evidence from a favorable vendor headline.
10 min read →Audio & VoiceHume researchers find signs of benchmark fitting in speech recognition
Tests across 11 open speech-recognition models found cases where systems reproduced benchmark-specific text even when the audio contradicted it. Leaderboard accuracy may overstate real-world transcription quality.
9 min read →Research & DataHow to build a held-out evaluation for speech recognition
A useful ASR test set must resemble production without becoming part of the optimization loop. This guide combines temporal separation, error weighting and audio-level review.
10 min read →IndustryOpenAI expands its zero data retention architecture
OpenAI has detailed new options intended to protect eligible API traffic while preserving abuse defenses. The architecture is promising, but customers still need to verify scope and configuration.
8 min read →FeaturesA 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.
9 min read →Audio & VoiceAn AI music production checklist for rights and release
Generating a track is only the first step. Producers need records for prompts, source audio, collaborators, likeness, distribution terms and meaningful human authorship.
8 min read →Audio & VoiceHow speech-to-text AI works—and how to test it
Modern transcription systems are impressive, but word error rate alone cannot tell you whether they will work for meetings, interviews or regulated records.
10 min read →Audio & VoiceA safe production workflow for AI voice generation
Synthetic speech can accelerate localization and accessibility. It also creates consent, impersonation and provenance risks that must be addressed before generation begins.
8 min read →AI ModelsWhat is ChatGPT in 2026? A practical guide to features, workflows and limits
ChatGPT has grown from a text chatbot into a workspace for search, files, images, voice and longer projects. This guide explains what the product does, where it helps and where human verification still matters.
11 min read →AI ModelsWhat is artificial intelligence? A systems-level explanation without the hype
Artificial intelligence is not one technology or one level of capability. It is a family of systems that infer outputs from inputs—and whose value depends on data, objectives, interfaces and human oversight.
11 min read →AI ModelsHow does AI work? From training data to predictions, generation and feedback
Modern AI systems learn statistical relationships from examples, turn new inputs into outputs and improve through evaluation and feedback. The important details lie in the objective, the data and the surrounding controls.
12 min read →Audio & VoiceVoice AI finally gets a benchmark that listens to people
Scale’s Voice Showdown uses real spoken prompts across more than 60 languages. It arrives as the industry confronts a basic problem: synthetic tests do not capture the messiness of human speech.
6 min read →Research & DataX is letting AI draft Community Notes—but humans keep the vote
The AI Note Writer API offers a revealing model for human-AI research systems: machines can find sources and propose context, while people with diverse viewpoints decide what becomes visible.
7 min read →AI ModelsHow to evaluate a multimodal model
Models that read text, images, audio and video promise one interface for many kinds of work. A useful comparison tests perception, reasoning, latency and failure behavior separately.
9 min read →AI ModelsReasoning models need different prompts—and different tests
Longer internal computation can improve difficult analysis and coding, but it also changes latency, cost and the way teams should write instructions and evaluate results.
8 min read →Research & DataLong context is not the same as long-term memory
LongMemEval shows why placing more conversation into a model's window does not guarantee reliable recall. Useful memory systems must index, retrieve, update and sometimes abstain.
8 min read →FeaturesHow 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.
10 min read →