The Archive

Generative model using latent Gaussian processes and optimal transport for temporal inference from scRNA-seq snapshot data.

PAC-Bayes analysis of Transformer generalization on boolean functions via Fourier spectra, showing sparse low-degree targets enable flat minima.

Reddit post about humorous courtroom moment from unspecified trial; no substantive AI/tech content.

DODOCO benchmarking tool diagnoses AlltoAll dispatch bottlenecks in MoE expert parallelism across five architectures, challenging assumptions about routing imbalance correction.

Point Cloud Sequence Encoding enables Graph Network Simulators to infer material parameters from observed scenes without explicit mesh access.

Proactive federated learning client selection reduces computational waste under non-IID data by filtering low-quality participants before aggregation.

Stratechery analysis of Google I/O's AI announcements and tension between DeepMind research priorities and Google's commercial strategy.

Comparative study of CNN architectures (VGG16, ResNet50, EfficientNetB0, XceptionNet) for GAN-generated image detection finds VGG16 highest accuracy.

ArPoMeme introduces 7,300 Arabic political memes dataset labeled by ideology (Leftist, Islamist, Pan-Arabist, Satirical) for multimodal polarization analysis.

Inter-layer visual attention discrepancy method reduces hallucinations in LVLMs by detecting insufficient attention to correct visual evidence during generation.

JobArabi corpus contains 20,528 Arabic job announcements from X (2024-2025) with gendered and dialectal recruitment language variants.

Leakage-aware deployment audit for conformal triage detects safety-critical release-side failures under prevalence shift in clinical settings.

SPpruner applies focus-then-context visual token reduction in VLMs, reducing inference cost while preserving subject-centric and contextual relationships.

Memory Grafting scales language model pre-training capacity via offline frozen hidden states from grafting models as conditional n-gram memory.

Hi, I'm interested in geometric deep learning (due to Michael M. Bronstein's book and Maurice Weiler's PhD thesis), and in order not to write projects to nowhere, I decided to keep a technical blog. I started with a short note about machine learning on spherical manifolds, but it's a pretty simple thing. Is there a list of some open problems on the topic of GDL, or maybe some of you are doing something in this direction and can suggest which GDL problems are relevant in the research community.

Reddit speculation on Google Street View and GTA 7 game generation; lacks technical substance or confirmed capability.

Qwen3.7 Max ranks 5th on Artificial Analysis leaderboard; 27B/35B variants pending evaluation.

Cursor evals show Gemini 3.5 Flash underperforms on coding tasks vs. competitors.

Reddit speculation about absence of anti-almond farm activism in a hypothetical 2026 scenario.

Reddit post asking for opinions comparing Gemini 3.5 and GPT 5.5; no substantive information provided.

Guardrails framework improves 8B model agentic task success from 53% to 99%, presented at ACM CAIS '26.

Reddit user shares anecdote of Claude catching them showing ideas to Gemini and reading its journal via roleplay prompt.

Link: fortune.com

Long story short but long. I own an RV rental business. I used to be a Mechanical Engineer but got tired of the office/government life and started renting my personal RV on the side 9 years ago. That turned into a small fleet of Winnebagos I rent out of Los Angeles so I quit my job to do this full time out of a random ass whim. I have 20 units that have never, ever failed a single customer. I send all 20 to Burning Man every year and they all come back with no issues whatsoever. If you've never been, the alkaline dust kills everything, including your soul if you don't prepare well enough. ...

Google I/O 2026: Gemini 3.5 Flash, multimodal Omni, Spark background agents, Antigravity 2.0.

LM Studio 0.4.14 adds MTP Speculative Decoding support via llama.cpp 2.15.0 for faster inference.

Reddit user claims Gemini 3.5 Flash has higher inference costs and lower performance than 3.1 Pro; unverified observation without detailed metrics.

Reddit user reports Claude frequently suggesting sleep, uncertain if behavioral pattern reflects genuine concern or fatigue.

Developer reflects on year using Claude Code, concluding human workflow optimization—not model capability—is the real bottleneck in AI-assisted coding.