LLMs & Generative AI - Page 4 of 36
Latest breakthroughs in large language models and generative AI shaping the future of artificial intelligence and machine learning.
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Trusted access enables defenders through verification and accountability
The rise of generative AI has reshaped how security teams operate, but the tools that protect us are only as strong as the people who wield them.
K Health CEO says AI demand surges as hospitals turn to more chatbots
Hospitals are busy testing a new kind of front‑desk. Across the country, patients are typing questions into AI assistants instead of calling reception lines, and administrators are watching the traffic spikes.
Alignment researchers use LLMs to automate reliable AAR progress evaluation
Alignment researchers are turning to large language models to keep tabs on their own progress.
Google adds “Skills” to Chrome, enabling one‑click reuse of Gemini prompts
Google is tightening the bond between its browser and the Gemini AI model, rolling out a feature that promises to shave a few clicks off everyday workflows.
Claude Mythos breaches weak networks, scores 93% practitioner, 73% expert
Enterprise security teams have long worried about AI tools that can navigate poorly defended networks without human guidance.
Google AI's Vantage protocol shows Executive LLM beats agents on 8 metrics
Google’s AI research team has rolled out Vantage, a protocol that treats large language models as a yardstick for collaboration, creativity and critical thinking.
LPM 1.0 creates 45‑minute lip‑synced video from a single photo in real time
A single portrait can now become a half‑hour of moving speech without a studio or a time‑consuming render farm.
Inside the .claude Folder: How AI Stores Its Working State Unannounced
The .claude directory lives on the periphery of every Claude‑powered deployment, yet most users never notice it. It’s a hidden workspace where the model keeps transient data—cache files, temporary embeddings, session logs—while you type.
Analysis of Four Core Dilemmas Highlights AI Agents' Security Risks
Why are AI agents suddenly surfacing in security briefings? The answer lies in a set of intertwined dilemmas that have emerged as generative models move from research labs into everyday tools.
Top 5 2026 Books Cover Agent Memory, Tool Integration, and Loop Design
Building an agentic AI system in 2026 feels a bit like assembling a complex puzzle—each piece has to fit without forcing the whole picture to warp.
Instructor says asynchronous video teaching feels tougher than face‑to‑face
Why does this matter now? Universities have been scrambling to redesign curricula while students scroll through AI‑generated answers.
MiniMax releases MMX‑CLI, giving AI agents media access and chat support
MiniMax just dropped a command‑line interface that promises to make AI agents a lot more versatile. The new tool, dubbed MMX‑CLI, claims native hooks into image, video, speech, music, vision and search APIs—all from a single executable.
On‑device AI adoption creates CISO blind spot over unvetted code risk
On‑device AI is slipping into corporate codebases faster than security teams can track. While the tech promises speed, privacy and the allure of “no approval required,” many developers treat community‑tuned coding models as just another library.
Arcee AI spends half VC on open reasoning model; 4 of 256 experts fire per token
Arcee AI has poured roughly half of its venture‑backed funding into a single open‑source reasoning model that claims to match Claude Opus on agent‑oriented benchmarks.
Stalking victim sues OpenAI, says ChatGPT fed ex’s delusions, hid safety info
A former partner’s obsessive behavior has taken an unexpected turn into the courtroom.
Liquid AI's LFM2.5-VL-450M: model with bounding boxes, sub‑250 ms inference
Liquid AI’s latest release, the LFM2.5‑VL‑450M, packs 450 million parameters into a vision‑language model that can predict bounding boxes and handle multiple languages—all while keeping inference under 250 ms on edge devices.
Sarah says plugging memory into a harness is like plugging driving into a car
LLMs that act as autonomous agents still wrestle with a basic problem: where does the information they generate live, and how do they retrieve it when needed?
AI models spam help requests if rewards equal correct answers, accuracy 5.4%
Researchers have been probing how large language models decide whether to answer a query outright or to request clarification.
Alibaba’s Tongyi Lab launches VimRAG, a memory‑graph multimodal RAG framework
Alibaba’s Tongyi Lab has rolled out VimRAG, a multimodal retrieval‑augmented generation system that leans on a memory‑graph to sift through huge visual corpora.
Guide Shows How to Search, Fine‑Tune, Export and Share Models via ModelScope
Why does a step‑by‑step guide matter when you’re juggling model search, fine‑tuning, and deployment?
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