Domain-Adapted Small Language Models for Reliable Clinical Triage
Qwen2.5-7B and open-source small models achieve ESI triage accuracy via clinical vignettes without fine-tuning.
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Qwen2.5-7B and open-source small models achieve ESI triage accuracy via clinical vignettes without fine-tuning.
OpenAI scales Stargate compute infrastructure to expand data center capacity for large-scale AI training and deployment.
Reddit user reports Stripe payment errors on Claude platform alongside account ban issues.
Reddit user shares prompt engineering technique to elicit more critical code reviews from Claude by framing code as written by an annoying person.
Probabilistic Transformer framework interprets self-attention as factor graphs; investigation extends PT to time series.
I built a map to help navigate the complex scientific landscape through spatial exploration. How it works: Sourced the latest 10M papers from OpenAlex and generated embeddings using SPECTER 2 on titles and abstracts. Reduced dimensionality with UMAP, then applied Voronoi partitioning on density peaks to create distinct semantic neighborhoods. The floating topic labels are generated via custom labelling algorithms (definitely still a work in progress!). There is also support for both keyword and semantic queries, and there's an analytics layer for ranking institutions, authors, and topi...
Seven families of victims injured or killed in the Tumbler Ridge school shooting in Canada have filed lawsuits against OpenAI and CEO Sam Altman, accusing the company and its leadership of negligence after they failed to alert police to the suspected shooter's ChatGPT activity. The families allege OpenAI stayed silent after its systems flagged activity by shooting suspect Jesse Van Rootselaar in order to protect the company's reputation and upcoming initial public offering (IPO). The Wall Street Journal reports that OpenAI "considered" flagging the 18-year-old's activity to police, which repo...
ChatGPT is struggling to keep up its once-explosive growth as users uninstall the app or opt for rival chatbots instead. According to data from market intelligence firm Sensor Tower, ChatGPT experienced a 132 percent increase in uninstalls year over year in April. Its uninstall rate was even higher last month, up 413 percent year-over-year, following OpenAI's deal with the Pentagon in February. While ChatGPT is still growing its user base, Sensor Tower says that growth is slowing down - ChatGPT increased its monthly active users by 168 percent in January, but only 78 percent in April. ChatGPT...
Reddit discussion critiquing Anthropic's recent decisions and their reputational impact; lacks specifics on incidents or timeline.
FutureWorld: live environment for training LLM-based agents on real-world outcome prediction and continual learning.
Reddit discussion of 16x NVIDIA DGX Spark cluster setup for home lab; seeks model recommendations.
Swap distance minimization principle explains word order variation across linguistic families independent of dominant SOV/SVO.
IK_LLAMA.cpp adds Qwen3.5 MTP support with 50% throughput gain (18-20→30 tok/s) via pipeline parallelism on 27B model.
AI safety researcher discusses neuralese—emergent uninterpretable communication between models—as alignment risk, referencing classic adversarial example literature.
CurEvo integrates curriculum learning into self-evolution frameworks for autonomous video understanding without annotations.
XDFT: closed-loop agent automates diagnosis of DFT band-gap mismatches via hypothesis generation and refinement.
X-WAM unifies 4D world modeling and robotic action execution via multi-view RGB-D video prediction with diffusion priors.
I'm much more sympathetic towards Anthropic than most users here. Started using CC when it was barely useable and think they are the good guys dealing with a real supply crunch. But every session I get prompted a dozen times to /schedule random tasks for two weeks in advance. Even small features "Want me to /schedule a check in for 2 weeks when this is live"? I realize they are tryign to scale to $100b in a year... they should focus on the product not shilling
Oracular spectacular? | Image: Cath Virginia / The Verge If you want to know whether the AI bubble is bursting, there's only one publicly traded company that will tell you: Oracle. That's right, the database company. Oracle has burned its boats and pivoted to AI, but not in any kind of usual way. It is not a foundation model builder like OpenAI or Anthropic, obviously. It's not quite a neocloud, though it has entered the same bare-metal business as CoreWeave. It is a software-as-a-service company that has made an audacious bet on a very specific future version of AI as Oracle's traditional bu...
Cross-version skill swap analysis reveals dominant-skill effects in compositional robotic policies on manipulation tasks.
Toolkit detects spurious correlations in speech datasets that inflate performance metrics, critical for clinical/health AI validation.
Variational quantum classifiers evaluated on satellite land-cover classification vs classical baselines using EuroSAT-MS dataset.
Laplace approximation method for uncertainty quantification in tensor network kernel machines as alternative to Gaussian Processes.
Framework for trustworthy clinical AI combining deterministic logic, patient-specific reasoning, and staged autonomy rather than end-to-end black boxes.
Differential privacy text rewriting via LLMs preserves privacy but alters linguistic style and register beyond lexical level.
Study on user state representation impact in contextual multi-armed bandit recommender systems for personalization.
ReaLM-Retrieve framework adapts RAG for reasoning models like DeepSeek-R1 and o1 via step-level uncertainty detection and dynamic retrieval.
SciHorizon-DataEVA agentic system evaluates AI-readiness of heterogeneous scientific data using Sci-TQA2 principles for AI4Science workflows.
Disagreement-guided routing strategy selects test-time scaling method (voting/rewriting) for Large Reasoning Models based on output disagreement.
A defense startup just raised $82 million to put drone factories inside shipping containers and bring manufacturing to the front lines.