Can LLMs Write Better Research Paper Titles Than Authors?
A new study claims LLMs write 'appropriate' research titles, but the evidence rests on similarity metrics that measure pattern matching, not whether titles actually serve.
The archive · Page 6 of 6
Models & Research
Where architecture, training tricks, and eval methodology meet the marketing layer — separating durable progress in foundation models from leaderboard theater that quietly falls apart under load.
The archive
121–139 of 139 articles · Newest first
Do Concept Bottleneck Model Benchmarks Measure Interpretability or Dataset Bias?
Standard concept bottleneck model benchmarks confound genuine concept learning with dataset shortcuts. Synthetic benchmarks from Skirzynski et al. expose the gap.
Persona Prompts Change Who an LLM Recommends as an Expert
A 43-model audit finds that geographic and role framing in LLM prompts systematically shifts which scholars get recommended as experts, with no neutral default.
Opus 4.8 Batch API: 1M Context, 300k Output, and Team Cost Controls
Opus 4.8 has a 1M token context window (200k on Foundry), 128k standard output, and 300k output via Batch API beta. January 2026 cutoff. Batch design and quota allocation.
μP Hyperparameter Transfer Has an Embedding Layer Hole, New arXiv Paper Says
An arXiv paper shows the embedding learning rate accounts for most of μP's advantage over standard parameterization, and a single scaling fix recovers the bulk of the benefit.
Qwen3.6-27B's Dense Architecture Challenges the MoE-Only Playbook for Flagship-Class Coding Models
Alibaba's dense Qwen3.6-27B outperforms its MoE sibling on coding benchmarks, trading predictable inference latency for a larger memory footprint than sparse alternatives.
Chinese AI Models Compared: DeepSeek, Qwen, Kimi, Doubao, and Ernie
Compare DeepSeek, Qwen, Kimi, Doubao, ERNIE and GLM through dated benchmarks, license terms, context windows, API pricing and practical workload fit.
Running DeepSeek R1 locally: Build a memory budget
A local R1 memory plan needs the chosen weight artifact, the distill's own configuration, and the intended context length.
Fish-Speech: The Open-Source TTS Model That's Threatening ElevenLabs
Fish Audio's open-source S2 TTS hit SOTA in March 2026 with sub-100ms latency and 80+ languages, challenging ElevenLabs' commercial pricing and exposing licensing gaps.
Synthetic AI training data: Define the task, check the result
Epoch projects that public human-generated training text could be fully used between 2026 and 2032, depending on scaling and overtraining.
TimesFM 3.0 adds multivariate forecasts but changes the licensing decision
TimesFM 3.0 adds native multivariate forecasts, but its downloadable weights are not licensed for commercial production use.
Gemini long context: Test retrieval across tasks
Google reports different Gemini 1.5 Pro recall results for single-needle and multiple-needle retrieval at one million tokens.
DeepSeek V3/R1: How Chinese Engineers Matched GPT-4 for $6 Million
DeepSeek's V3 and R1 models match GPT-4-class performance using a fraction of the compute through architectural innovations in Mixture of Experts, attention compression, and reinforcement learning, demonstrating that training efficiency may matter more than raw hardware scale.
Claude's Web Search Changes Everything for AI Research
Claude's web search delivers real-time retrieval inside the reasoning loop with mandatory citations, domain filtering, and dynamic HTML processing that cuts token use by 24%.
The Million-Token Context Window: What Can You Actually Do?
Million-token context windows let you load entire codebases in one pass, but models lose coherence before their limit. Here is what benchmarks and failure modes reveal.
Kimi Claw gives you a hosted OpenClaw instance
A hosted instance saves you some setup work, while those choices remain yours.
WiFi DensePose: What the CSI experiments actually establish
WiFi DensePose maps measured radio-channel data to dense human pose estimates in a research setup.
AI coding benchmarks: compare the task before the score
SWE-bench, LiveCodeBench, EvalPlus, and Aider measure different coding tasks and should not be merged into one ranking.
The Best AI Models for OpenClaw in 2026
Which LLM to pick for OpenClaw in 2026: Fable 5, Opus 4.8, GLM-5.2, Kimi K2.5, and Gemini 3.1 Pro ranked by use case, benchmark evidence, and pricing.
