Perplexity vs ChatGPT Search 2026
Perplexity vs ChatGPT for search and research in 2026: real-time citations, Deep Research speed, pricing tiers, and which tool fits which workflow.
Articles Tagged "Research"
Karpathy Joins Anthropic to Lead Pre-Training Push
Andrej Karpathy, OpenAI co-founder and former Tesla AI director, joins Anthropic's pre-training team to build a research program that uses Claude to accelerate its own training.
Fix 8% of Tokens, Dodge Memory Attacks, Cut Agent Costs
New research pinpoints the 8% of tokens driving reasoning failures, exposes memory laundering in agent systems, and cuts web agent inference costs 1.9x.
Best Perplexity Alternatives in 2026: 7 Tools Compared
Seven Perplexity alternatives compared on citation quality, pricing, and research depth - from ChatGPT Search and Kagi to Grok DeepSearch and developer-focused Exa.
Self-Correcting Models, Smarter Monitors, AI Designs Itself
Three new papers tackle critique dependency in LLMs, ensemble monitoring for AI control, and agents that autonomously discover better neural architectures.
Open Agent Leaderboard: Model Beats Architecture
IBM Research tests 25 agent configurations across 6 real-world benchmarks and finds backbone model choice matters 58x more than agent framework design.
arXiv Hits Researchers With 1-Year Ban for AI Slop
ArXiv is issuing one-year submission bans to authors whose papers contain verifiable unvetted AI output, as fabricated academic citations hit a tenfold increase since 2023.
Physics Predicts AI Risk, Math Still Hard, Tokens Saved
A physics formula predicts AI behavioral shifts before they happen, a benchmark shows LLMs fail at 90% of graduate math formalization, and a training-free method cuts synthetic data costs by up to 78%.
SU-01
SU-01 is a 30B-A3B MoE reasoning model from Shanghai AI Lab that achieves gold-medal performance on IMO 2025, USAMO 2026, and IPhO 2024/2025 using a three-stage training recipe and test-time scaling.
Olympiad Gold, Broken Memories, and Attention Loss
A 30B model earns IMO gold, memory consolidation silently corrupts agents, and a new metric predicts when LLMs lose track of their instructions.
Reasoning Bias, Behavior Cues, and Tool Interpretability
New research shows reasoning length amplifies position bias, behavior cues cut wasted tokens by 50% while boosting safety, and sparse autoencoders can predict tool failures from model internals.
NVIDIA Ising Review: AI Models for Quantum Hardware
NVIDIA Ising is the first open AI model family for quantum computing - a 35B VLM for processor calibration and CNN decoders for real-time error correction, already deployed at 20+ research institutions.
