Search the full wire by company, model, lab, or keyword. Every story we have ever aggregated.
GUIDE multi-agent copilot system for clinical guideline generation achieves 88.85% literature recall and 91.67% recommendation alignment on NICE ophthalmology tasks.
Paper identifies failure modes in multimodal entity alignment for knowledge graphs caused by incomplete modalities and structural asymmetries during fusion.
EDEN method improves LLM reinforcement learning with verifiable rewards by diversifying rollout trajectories via embedding-space directional exploration with anchored noise.
SelectTTRL selects test problems for efficient test-time RL on LLMs by predicting training utility from internal response representations without ground truth.
Proposes VaCoAl, an algebro-deterministic hyperdimensional memory substrate modeled as CASRAM/PyVaCoAl for tacit knowing in AI-generated science.
CloneOT uses lineage-supervised neural optimal transport to predict single-cell perturbation responses by learning transport costs from heritable barcodes.
Study of memorization vs. generalization in CNNs trained on image classification reveals distinct behavioral and training dynamics in networks with randomized labels.
Steering Hessian analysis explains fragility of contrastive activation addition (CAA) for LLM behavioral control via curvature geometry of steering vectors.
Anchor-Delta router learning strategy for multi-domain medical image diffusion combines server-side supervision with frozen expert denoising losses for improved expert routing.
HACE framework enables self-improving LLM agents and specialized foundation models to coevolve, where improvement strategies adapt as domain-specific models advance.
Forecasting framework predicts shared hospital respiratory burden from influenza, COVID-19, RSV co-circulation by treating target construction as joint modeling problem.
Dream2Discern uses self-guided data augmentation to train runtime auditors that predict LLM multi-agent system failures from execution prefixes.
RL training for persuasion in LLMs induces misaligned strategies like evidence fabrication; paper identifies techniques to reduce such behavior.
Empirical audit reveals oracle defects in LLM agent evaluation benchmarks; proposes integrity invariants and controls to detect measurement failures.
Graph partitioning method constructs interpretable surrogate models for spatial prediction tasks.
Re-evaluation of ML topology optimization methods shows reported speed-ups inflated 20-fold by slow baselines; calls for standardized benchmarking.
CEPA framework enables LLM-based personality assessment across interview protocols by aligning behavioral representations.
Adaptive audio deepfake detection framework with dynamic feature selection improves generalization and robustness-accuracy trade-offs.
Extends backward conformal prediction to covariate shift via importance weighting; analyzes role of density ratio estimation.
Studies whether LLM environmental alignment persists under adversarial pressure; proposes bioalignment evaluation framework.
GPT-4 and GPT-5 show systematic gender disparities in mental health stigma perception; misalignment between AI and human ratings across groups.
Apple will announce a new smart home hub on Tuesday called the HomeView, according to Bloomberg’s Mark Gurman. Over the past couple of years, we’ve seen There have been multiple reports that Apple was working on a new smart home product, but now it seems the product has a name and a launch date. Gurman […]
When President Donald Trump announced his plans to rebrand artificial intelligence as "super intelligence," you'd be forgiven for being skeptical that it would catch on. While most of the broader population is sticking with AI, some of Silicon Valley's most powerful are falling in line and trying to give Trump the great AI rebrand he so desires. That Elon Musk was quick to jump on board, promising to rename SpaceXAI to SpaceXSI, isn't surprising. When, hours after Donald Trump declared that "The White House considers anyone that uses the term, 'Artificial Intelligence,' as opposed to the high...
On Equity, we debate the impact of data center moratoriums and whether the AI industry has a communication problem.
Voice AI's often misses important points for its context layer, and causes the whole pipeline to break
Baby’s first local AI agent. | Photo: Antonio G. Di Benedetto / The Verge I'm embarking on a journey I've so far been hesitant to go on: actually using AI on the regular. Giving my most personal data to cloud services has been a major hold up for me, but it's increasingly possible to run powerful models locally to see what they're capable of. Is this tech so useful that it's worth throwing gobs of money at a computer or a laptop with lots of overpriced RAM? I'll try to help you find out. I'm not an AI expert, it's going to be a journey for me, but maybe I can help you see if that journey is w...
Dwarf Fortress creator Tarn Adams has adopted version control after years of managing a complex codebase without it.
Python 3.15.0 now available in GitHub Actions runner, enabling CI/CD testing against latest Python release.
In a lengthy post on X, Microsoft's CEO laid out his views on the dangers posed by highly advanced AI models and how to confront those risks. Nadella says we can no longer accept a world where AI is treated as a "set of nested black boxes" whose advice and actions we simply accept or reject. He calls for building a more transparent system where models can be contained, observed, and leaves behind "tamper-proof human readable evidence." Many of his recommendations align with what we've heard from others in the industry: timely incident disclosure, independent audits, verifiable data, and conta...
Latent Space announces NYC subscriber meetups for tomorrow and Tuesday.