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30 articles about search in AI news
27B Agent Beats Claude Opus 4.8, GPT-5.5 on Research Replication
A 27B agent named Replica reportedly beat Claude Opus 4.8 and GPT-5.5 on held-out research replication, per @omarsar0. No methodology or scores disclosed, so the claim is unverified but suggests efficiency can rival scale.
Alibaba's ABSeeker Lets 4B Agent Match 30B Search Models
Alibaba's ABSeeker adds step-level credit assignment, letting a 4B search agent match ~30B models. Backtracking from answers densifies reward signals.
BAAI's AREX: Recursively Self-Improving Research Agents
BAAI releases AREX models that recursively self-improve by alternating research and constraint verification.
Native Acquires Frontline Research Group to Expand Agentic AI Platform
Native acquired Frontline Research Group to expand its agentic AI platform, integrating research capabilities for enterprise automation. This matters as agentic AI adoption accelerates across industries.
Octen Deep Research Bench Scores Beat OpenAI, Gemini by 17 Points
Octen's deep research tool beat OpenAI, Gemini, Grok, and Perplexity by 10–17 points on DeepResearch Bench, returning reports in under 3 minutes.
Webify MCP: Cut Web Research Token Costs by 97% in Claude Code
Webify MCP slashes web research token usage by 97% in Claude Code using DOM graph + BM25 retrieval. Install with one pip command and let Claude auto-route web queries through it.
Microsoft ResearchStudio-Reel Turns PDF Into Poster, Video, Blog
Microsoft ResearchStudio-Reel converts PDFs into poster, video, blog, and reel using Claude Code and Codex, with editable Office outputs.
Building a Multimodal Vector Search Platform for Product Catalogs
Insider Engineering shares practical lessons from building a multimodal vector search platform for product catalogs, covering multitenancy, GPU economics, and infrastructure surprises. The post provides actionable insights for retail AI teams considering similar systems.
SciCode: Epoch AI Launches Benchmark Measuring AI Research Ability
Epoch AI launched SciCode benchmark testing LLMs on real research coding tasks. Top models score below 30%, exposing gap between coding benchmarks and scientific ability.
You Deployed AI Search and Relevance Got Worse. Here’s Why It Happens
Retail TouchPoints reports that AI search deployments often worsen relevance due to poor embeddings, lack of fine-tuning, and misaligned ranking. This matters because retailers investing in AI search must address these pitfalls to avoid customer frustration and revenue loss.
Hermès Tops List of Luxury Brands in AI Search – WWD Report
WWD reports Hermès tops luxury brands in AI search visibility. A separate study warns LLMs misinterpret luxury brands, reducing their AI presence. This dual finding underscores the need for luxury houses to optimize for AI-driven discovery.
Amazon Launches Generative AI Search Tool That Creates Real-Time Images
Amazon launched a generative AI search tool that creates real-time images from text descriptions to improve product discovery. This leverages Amazon Bedrock and Trainium chips, marking a shift toward AI-driven visual search in e-commerce.
SemiAnalysis Launches Mythos AI Research Platform
SemiAnalysis launched Mythos, a proprietary AI research platform for semiconductor and AI industry analysis, announced via Twitter on March 5, 2026.
OpenAI Targets 2028 for AI to Perform Significant Research
Sam Altman predicts AI will conduct significant research by March 2028, a concrete milestone for autonomous AI capabilities.
Claude Code Runs PhD-Level Research Pipeline Autonomously
Claude Code autonomously runs a 10-stage PhD research pipeline from blank page to publication-ready output, per a demo by @HowToAI_.
Google Search VP: AI-native search costs more, grows volume
Google VP Robby Stein says AI-native Search costs more but grows volume. AI Mode breaks queries into sub-searches.
Grep Beats Vector Search in Agent Benchmarks, New Paper Finds
Grep beats vector search on LongMemEval across all harness-model pairs, showing agent design matters more than retrieval method for evidence-location tasks.
Gemini Embeddings Beat ResNet50, SigLIP on Visual Search Benchmark
Gemini embeddings beat ResNet50 and SigLIP on visual product search with 92.3% recall@10, an 8.2-point gain.
Large Memory Models: New Architecture Beyond RAG and Vector Search
Researchers with 160+ Nature and ICLR publications have built Large Memory Models (LMMs), a new architecture designed to emulate human memory processes, offering an alternative to RAG and vector search paradigms.
OpenAI Agents Now Ask Questions Good Enough for Research Papers
Sébastien Bubeck revealed on the OpenAI Podcast that internal AI agents now ask research questions so insightful they're inspiring papers and correcting published mistakes, with a 1-2 year timeline for full researcher-level capabilities.
Onyx: Open-Source AI Enterprise Search Challenges Glean's $7.2B Valuation
Open-source platform Onyx provides self-hosted AI enterprise search connecting to 40+ tools, offering a free alternative to Glean's $50/user/month SaaS. Backed by YC and $10M seed funding, it's used by Netflix and Ramp.
ECLASS-Augmented Semantic Product Search
Researchers systematically evaluated LLM-assisted dense retrieval for semantic product search on industrial electronic components. Augmenting embeddings with ECLASS hierarchical metadata created a crucial semantic bridge, achieving 94.3% Hit_Rate@5 versus 31.4% for BM25.
Google Launches Deep Research Max Agent on Gemini 3.1 Pro
Google DeepMind rolled out Deep Research Max and standard Deep Research agents on Gemini 3.1 Pro, enabling autonomous web and proprietary data research via the Gemini API. The Max variant uses extended test-time compute for thorough asynchronous reports.
AI Agents Now Training Other AI Models, Sparking Autoresearch Trend
AI agents are now being used to train other AI models, creating advanced agentic systems. This development stems from Andrej Karpathy's autoresearch repository and represents early-stage automation of AI research.
A Reference Architecture for Agentic Hybrid Retrieval in Dataset Search
A new research paper presents a reference architecture for 'agentic hybrid retrieval' that orchestrates BM25, dense embeddings, and LLM agents to handle underspecified queries against sparse metadata. It introduces offline metadata augmentation and analyzes two architectural styles for quality attributes like governance and performance.
New Research Models 'Exploration Saturation' in Recommender Systems
A research paper analyzes 'exploration saturation'—the point where more diverse recommendations hurt user utility. Findings show this saturation point is user-dependent, challenging the standard practice of applying uniform fairness or novelty pressure across all users.
NVIDIA Research Shows AI Can Optimize Decades-Old EDA Tools Like ABC
New NVIDIA research indicates AI can be used to optimize Electronic Design Automation (EDA) tools, such as the classic ABC system, which have been manually tuned by engineers for decades. This could automate a core, labor-intensive bottleneck in semiconductor design.
Anthropic Launches STEM Fellows Program to Pair Experts with AI Research
Anthropic announced the Anthropic STEM Fellows Program, a new initiative to bring science and engineering experts into its research teams for collaborative, months-long projects aimed at accelerating progress with AI.
Codex 'Chronicle' Research Preview Adds Memory for Daily Developer Context
A research preview of 'Chronicle' for Codex has been released. It enables the AI coding assistant to accumulate memories from a developer's daily workflow to improve context.
PRL-Bench: LLMs Score Below 50% on End-to-End Physics Research Tasks
Researchers introduced PRL-Bench, a benchmark built from 100 recent Physical Review Letters papers, testing LLMs on end-to-end physics research. Top models scored below 50%, exposing a significant capability gap for autonomous scientific discovery.