AUTHOR
Elena Morris
Executive Editor
Elena leads AINewsInu coverage and commissions reporting on the products, companies and policy decisions shaping applied artificial intelligence.
Email Elena →Experience and editorial focus
She sets the publication’s sourcing, corrections and disclosure standards and reviews high-impact stories before publication.
Areas of expertise
- AI industry strategy
- Editorial standards
- Technology policy
LATEST WORK
Articles by Elena Morris
Google DeepMind pilots double-blind evaluation for a Gemini model
A new pilot uses a confidential computing environment so Google cannot inspect an evaluator's secret prompts and the evaluator cannot access proprietary model weights.
9 min read →Research & DataGoogle Research introduces an autonomous planetary prediction engine
The experimental Earth AI system discovers geospatial data, engineers features, trains models and generates reports from a natural-language prediction request.
10 min read →FeaturesOpenAI 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.
11 min read →IndustryGoogle argues AI policy must preserve innovation and creator rights
At Singapore IP Week, Google outlined its position on patents, copyright, AI training and output safeguards as governments adapt existing systems to generative AI.
9 min read →IndustryOpenAI lays out a full-stack strategy from chips to products
OpenAI's latest infrastructure essay connects custom silicon, inference software, open-weight models and consumer products into one vertically integrated roadmap.
9 min read →FeaturesA 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.
10 min read →IndustryNVIDIA claims a 30x agent-inference efficiency gain for Vera Rubin
NVIDIA's new on-silicon results compare Vera Rubin NVL72 with GB300 NVL72 on recorded agentic coding trajectories, reporting higher throughput per megawatt and lower token cost.
9 min read →AI AgentsWhy decode latency becomes an agent bottleneck
NVIDIA's Groq 3 LPX launch targets fast token generation, but agent responsiveness depends on a chain of context processing, decoding, tools and orchestration.
9 min read →Model PlatformsAn ONNX portability checklist for moving models between runtimes
ONNX makes model exchange possible, but it cannot guarantee identical behavior in every runtime. Use this validation sequence before treating a converted graph as deployable.
10 min read →Research & DataHow to use AI for data analysis without losing the audit trail
AI can accelerate exploration, formulas and narrative summaries, but analysts still need a reproducible path from source data to every published claim.
10 min read →AI AgentsDeepMind is taking long-horizon agent research into the EVE universe
Google DeepMind and EVE creator CCP Games are building a research environment for agents that must remember, adapt and coordinate over much longer periods than a typical benchmark.
8 min read →Model PlatformsLiquid AI releases draft models for faster local inference
Liquid AI's LFM2.5-DSpark checkpoints use speculative decoding to accelerate several LFM2.5 models. The vendor reports large gains, but teams should reproduce them on their own hardware and workloads.
8 min read →Research & DataPersistent worlds could expose the failures agent benchmarks miss
A persistent environment tests memory, adaptation and social consequences across time. It can improve agent evaluation only if researchers publish tasks, baselines and failure evidence.
9 min read →AI ToolsHow to choose an AI search tool without losing the evidence
AI search can compress research time, but fluent synthesis can hide weak retrieval. Evaluate source coverage, citation fit, freshness and reproducibility before trusting an answer.
9 min read →Model PlatformsContext windows are capacity limits, not memory guarantees
A large context window tells you how much a model can accept, not whether it will use every detail accurately. Test retrieval, instruction stability, latency and cost together.
9 min read →IndustryOpenAI's PORTS-Pike plan shows the physical scale of AI
OpenAI says it plans major compute capacity in Pike County, Ohio with SB Energy, NVIDIA and the U.S. Department of Energy. The proposal highlights infrastructure and community questions behind frontier AI.
8 min read →FeaturesWhy 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.
9 min read →Model PlatformsHow to evaluate an AI model API before you commit
A leaderboard cannot tell you which model belongs in your product. Measure quality, latency, cost, safety and operational fit together.
10 min read →Research & DataNatural language processing, from tokens to modern AI systems
NLP spans classifiers, search, embeddings and large language models. This guide explains the core ideas and practical choices without treating every text problem as a chatbot problem.
10 min read →Video CreationOpenAI says Sora is no longer available: what creators should know
Official Sora pages now state that the product stopped being available on April 26, 2026, turning an important model topic into a migration and archive story rather than a launch story.
6 min read →IndustryThe 7 AI trends defining 2026: capability, adoption and the governance gap
The most important AI story of 2026 is not one model launch. It is the widening distance between fast-improving capability, broad adoption and the slower systems meant to evaluate and govern it.
12 min read →ReviewsPerplexity AI review 2026: excellent research navigation, but verification is still your job
Perplexity combines live web search, multiple model options, cited answers and persistent research projects. We evaluate where that workflow saves time—and where source quality and synthesis still need human review.
14 min read →AI Tools10 generative AI use cases that create real business value—and how to evaluate them
The best generative AI projects connect a narrow workflow to measurable outcomes. These ten patterns cover knowledge, service, software, media and operations without pretending every task needs a language model.
13 min read →AI AgentsAI 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.
10 min read →IndustryWhy enterprise AI search keeps attracting capital
Glean's $150 million Series F illustrated the value investors place on secure access to workplace knowledge. The harder work begins after retrieval: permissions, context quality and measurable adoption.
8 min read →FeaturesWhy 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.
8 min read →