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Content moderation classifiers disproportionately flag African American English and drag communities; harm assessment based on lexicon rather than behavior.
Conflict-Aware Logit Adapters defend teacher models against reasoning-trace distillation via lightweight training-time adapter perturbing output distributions.
Algorithmic drift formalizes feedback loops where observation errors accumulate asymmetrically over time in adaptive tutoring systems, amplifying inequities.
Multichoice modeling framework makes decision configuration spaces explicit and computationally explorable under uncertainty via rugged landscape logic.
CAKE system automates AscendC kernel generation for Ascend NPUs via adaptive multi-DSL routing and agent-guided evolution, addressing data scarcity gap.
Craig Moffett discusses SpaceX's business expansion into broadband and mobile, drawing parallels to dot-com bubble dynamics.
Enterprise AI can generate recommendations, automate tasks, and help organizations make decisions faster. But without an understanding of how a business actually operates, even powerful models can miss the constraints and relationships that determine whether a decision is the right one. As companies look to move AI from experimentation into everyday operations, the challenge ahead…
Neural network transistor models for 3nm nanosheet accelerate SPICE simulation but require validation in full EDA tool flows for standard cell characterization.
Study measures RAG chunk update costs under real document revisions; content-defined chunking outperforms fixed/recursive strategies on Chinese and English Wikipedia edits.
LoRA adapter open-book scores measure reading capability shared across models, not domain-specific knowledge retention, undermining their use as merging units.
XALIGN visual analytics interface reveals disagreements between explainability methods (TreeSHAP, KernelSHAP, LIME) for Random Forest models in high-stakes domains.
Study compares semantic retrieval and LLM-based strategies for tool routing in robotic systems, addressing capability selection for compound natural-language commands.
Proposes trajectory-based benchmark framework for artificial wisdom, evaluating whether LLM recommendations adapt appropriately as decision conditions change.
RoSA framework addresses saliency collapse in long-text image-text alignment by decomposing pairs to balance salient and non-salient context weighting.
Agri-SCHOLAR combines crop simulation and LLM optimization to generate personalized, weather-responsive in-season farming advisories at individual-farm scale.
SecLog-Bench introduces scalable cybersecurity benchmark with 29 attack scenarios, multi-source evidence, and dense reasoning annotations for LLM log analysis evaluation.
Models truthful-by-omission advertising mechanism where click competition and earlier-position advantage create incentives to understate competitor ads in LLM responses.
Open-weight models pad JSON extraction lists to meet schema-specified minimums even when documents contain fewer items, degrading extraction accuracy.
EEG-Captioner dataset with 160K signal-grounded QA pairs evaluates whether EEG-to-language models learn actual signal properties vs. generating plausible text.
Ask most executives to picture the cost of AI and they’ll likely see GPUs—racks of accelerators with gigawatts of power—and a waitlist for silicon. But that picture leaves something out: Data storage costs. What happens to data after a model responds? Much of the back-end data that’s generated—from billions of daily prompts, images, and videos—needs…
OpenAI's Patch the Planet program discovers PHP2Shell vulnerabilities in core PHP using GPT-5.6 Sol; 2-month coordinated disclosure affecting 70% of web infrastructure.
OpenAI explains forward deployed engineering (FDE) role: embedding engineers with customers to drive AI product adoption and integration.
Uber deploys ChatGPT Work across 30,000+ employees for research, data analysis, and workflow automation.
Cohere Model Vault enables verifiable confidential inference using CPU/GPU computing with end-to-end encryption and attestation.
Cohere analyzes limitations in AI cultural understanding and implications for inclusive model design.
Blackstone’s AI head on why the PE giant isn't panicked by market jitters.
The social media giant is planning a new stock strategy to help power its broad investments in AI models and services.
A rush of new data centers could bring air pollution roaring back to levels not seen since the 2000s in Texas, which has become ground zero for the physical infrastructure behind generative AI. New and proposed data centers are demanding a tremendous amount of electricity. How developers and utilities meet that demand - with gas turbines or renewable energy - will determine just how dirty things will get. So far, though, things are looking grim. Tech companies and data center developers are devising new ways to get enough electricity, including building out their own power sources. But if all...
Meta says it's issuing a new class of shares to fund its AI initiatives. As part of its third-quarter earnings report released on Wednesday, the company says the non-voting stock will also go toward potential acquisitions and employee compensation, with trading beginning in 2027. "The scale of investment required to compete, sustain growth, expand infrastructure, and pursue new strategic initiatives amidst the AI transformation taking place in the industry is significant," Meta says in the press release. Susan Li, Meta's chief financial officer, added during an earnings call that the new clas...