AI

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AIModels.fyi AIModels.fyi
01:28
  1. 1 Can we build elite search agents without the massive industrial RL pipelines?
  2. 2 Xiaomi just open-sourced a 1T-parameter model and almost nobody noticed
  3. 3 The prompt isn't hiding inside the image
  4. 4 Google’s Best Open Model Yet Has a Memory Problem
  5. 5 Meta traded its biggest community asset for a commerce engine
  6. 6 Netflix's VOID shows video editing has finally learned the laws of physics
  7. 7 Why wait until the end to realize your model’s code won’t actually run?
  8. 8 Why pay for proprietary search APIs when you can synthesize research agents offline?
  9. 9 Can you *really* train AI to "get" videos just by showing it a million of them?
  10. 10 Can AI *really* research like us? This new framework puts it to the test.
  11. 11 Can an AI *finally* react like a real person during a video call?
  12. 12 Model of the Month: chatterbox-turbo
  13. 13 Can text *finally* make robots dance exactly how we want them to?
  14. 14 Can Large Language Models Develop Gambling Addiction?
  15. 15 AI ASMR videos that fool humans AND VLMs? How close are we to peak fakery?
Timescale Blog Timescale Blog
01:28
  1. 1 How Relational Complexity Crushes Real-Time Dashboards
AINOW AINOW
01:28
  1. 1 AI Now is Hiring!
  2. 2 AI Now Is Hiring a Comms Associate
  3. 3 AI Now Is Hiring a Senior Operations Director
  4. 4 AI Now Is Hiring a Program Associate
  5. 5 Nurses Sound Alarm as ‘Uber for Nursing’ Apps Push to Deregulate Healthcare
  6. 6 ‘Uber for nurses’: gig-work apps lobby to deregulate healthcare, report finds
  7. 7 ‘Safety first’ puts Anthropic ahead in game of AI spin
  8. 8 The Great AI Grift
  9. 9 AI Giants Go on Charm Offensive to Avert Public Backlash
  10. 10 U.S. military is using AI to help plan Iran air attacks, sources say, as lawmakers call for oversight
AI as Normal Technology AI as Normal Technology
01:28
  1. 1 Open-world evaluations for measuring frontier AI capabilities
  2. 2 New Paper: Towards a science of AI agent reliability
  3. 3 AI Won’t Automatically Make Legal Services Cheaper
  4. 4 Fact checking Moravec's paradox
  5. 5 A guide to understanding AI as normal technology
  6. 6 Could AI slow science?
  7. 7 AGI is not a milestone
  8. 8 AI as Normal Technology
  9. 9 Is AI progress slowing down?
  10. 10 We Looked at 78 Election Deepfakes. Political Misinformation is not an AI Problem.
  11. 11 Does the UK’s liver transplant matching algorithm systematically exclude younger patients?
  12. 12 FAQ about the book and our writing process
  13. 13 Can AI automate computational reproducibility?
  14. 14 Start reading the AI Snake Oil book online
  15. 15 AI companies are pivoting from creating gods to building products. Good.
Analytics India Magazine Analytics India Magazine
01:28
  1. 1 What Leaders Believe is the Next Frontier in India’s GCC Story
  2. 2 Why Mphasis CEO Believes AI Can No Longer Be ‘Lipstick’ on Legacy IT
  3. 3 CitiusTech Partners with Ventra Health to Build Agentic AI Revenue Intelligence Platform
  4. 4 Ex-Google Executive Peeyush Ranjan Launches AI EdTech Startup Fermi.ai in India & USA
  5. 5 Why The AI Foundry by Tredence in Chennai is a Working Room for Builders, Not Another Conference
  6. 6 India’s Space Tech Looks to Budget 2026 to Ignite Ambitions
  7. 7 Mumbai to Host World’s First AI GCC Hub as Maharashtra & Supervity AI Sign Landmark MoU at Davos
  8. 8 Zoho Launches AI-native ERP Platform From Rural Tamil Nadu
  9. 9 GitHub Introduces Copilot SDK to Embed AI Agents in Applications
  10. 10 Google Photos Tests ‘Me Meme’ Feature to Turn Selfies Into AI memes
  11. 11 Adobe Launches Firefly Foundry to Safeguard IP Rights for Creative Artists
  12. 12 Intel Q4 Beats Estimates as 18A Ships, Supply Constraints Hit Early 2026
  13. 13 Coforge Now Infuses AI in 100% Projects, Refuses to Reveal AI Revenue
  14. 14 Andreessen-Backed Inferact Raises $150 Mn to Develop Next-Gen Commercial Inference Engine
  15. 15 Juspay Raises $50 Mn from WestBridge Capital to Drive Global Expansion
SiliconANGLE SiliconANGLE
01:28
  1. 1 Anthropic announces ‘programmatic credit pool’ as agentic tool use rises
  2. 2 Red Hat maintains open source beats the cloud giants on AI economics
  3. 3 ZenBusiness launches AI-ready infrastructure for business formation and compliance
  4. 4 Inside Freshworks Refresh 2026: theCUBE’s analyst-led coverage airs May 20
  5. 5 How the WNBA-AWS data play can turn engagement into fans
  6. 6 To tame enterprise AI chaos, open source rallies around a standard execution layer
  7. 7 SecurityScorecard acquires internet scanning startup Driftnet to bolster third-party risk platform
  8. 8 Fleet launches autonomous endpoint management platform to counter AI-accelerated exploits
  9. 9 Saile raises $2.2M to reduce paperwork for healthcare staffing
  10. 10 Data center cooling tech startup Iceotope aims to scale after raising $26M
  11. 11 Microsoft and Red Hat are turning a decade-old alliance into enterprise IT’s unified future
  12. 12 With every department under pressure to adopt AI, the infrastructure layer is being put to the test
  13. 13 Okta extends AI agent security to Amazon Bedrock, opens platform to rival identity providers
  14. 14 Freshworks unveils Freddy AI Agent Studio and MCP Gateway for Freshservice
  15. 15 Microsoft’s LinkedIn is about to lay off 5% of its staff
SiliconANGLE Big Data SiliconANGLE Big Data
01:28
  1. 1 Veeam introduces new backup management, cybersecurity features
  2. 2 Palantir beats earnings expectations, raises full-year guidance as US revenue doubles
  3. 3 Commvault brings its full suite of data backup and resilience capabilities to Google Cloud
  4. 4 Google delivers connective tissue for autonomous AI agents to access data without restrictions
  5. 5 Snowflake targets ‘agentic enterprise’ with unified control plane for AI and data
  6. 6 Adobe deploys AI agents across its customer experience tools
  7. 7 Starburst adds AI front end in a bid to make conventional business intelligence dashboards obsolete
  8. 8 Snowflake expands open data strategy with Iceberg V3 support and governance portability plan
  9. 9 How the NFL is using Amazon Quick to humanize the offseason
  10. 10 Satellite data startup Xoople closes $130M investment
  11. 11 Niobium brings fully encrypted AI workloads to the cloud with The Fog
  12. 12 Datadog debuts Experiments to unify product testing and observability data
  13. 13 SAP buys Reltio to pull in more outside data for AI agents
  14. 14 What to expect at Qlik Connect: Join theCUBE April 14
  15. 15 Exclusive: HG Insights expands revenue growth intelligence platform with agentic capabilities
Blog Archives • David Stutz Blog Archives • David Stutz
01:28
  1. 1 RAISE 2025 panel statement on aligning AI to clinical values
  2. 2 Some Lessons on Reviews and Rebuttals
  3. 3 Thoughts on Watermarking AI-Generated Content
  4. 4 Thoughts and Lessons for Planning Rater Studies in AI
  5. 5 Open-Sourcing Relabeled MedQA and Dermatology DDx Datasets
  6. 6 Thinking About Research Ideas vs. Technology
  7. 7 The Importance of Effectively Experimenting in an AI PhD
  8. 8 FAQ for our Monte Carlo Conformal Prediction
  9. 9 Documenting your PhD — Keeping Track of Meetings, Experiments and Decisions
  10. 10 On NeurIPS’ High School Paper Track
Blog - neptune.ai Blog - neptune.ai
01:28
  1. 1 We are joining OpenAI
  2. 2 Synthetic Data for LLM Training
  3. 3 What are LLM Embeddings: All you Need to Know
  4. 4 Detecting and Fixing ‘Dead Neurons’ in Foundation Models
  5. 5 Part 2: Instruction Fine-Tuning: Evaluation and Advanced Techniques for Efficient Training
  6. 6 How to Optimize LLM Inference
  7. 7 A Researcher’s Guide to LLM Grounding
  8. 8 Part 1: Instruction Fine-Tuning: Fundamentals, Architecture Modifications, and Loss Functions
  9. 9 Understanding Prompt Injection: Risks, Methods, and Defense Measures
  10. 10 SabiYarn: Advancing Low-Resource Languages With Multitask NLP Pre-Training [Paper Reflections]
  11. 11 How to Monitor, Diagnose, and Solve Gradient Issues in Foundation Models
  12. 12 STUN: Structured-Then-Unstructured Pruning for Scalable MoE Pruning [Paper Reflection]
Blog on EleutherAI Blog Blog on EleutherAI Blog
01:28
  1. 1 Early Indicators of Reward Hacking via Reasoning Interpolation
  2. 2 Reward Hacking Resarch Update
  3. 3 Pretraining Data Filtering for Open-Weight AI Safety
  4. 4 Attention Probes
  5. 5 Research Update: Applications of Local Volume Measurement
  6. 6 Studying inductive biases of random networks via local volumes
  7. 7 The Common Pile v0.1
  8. 8 Product Key Memory Sparse Coders
  9. 9 SAEs trained on the same data don’t learn the same features
  10. 10 Partially rewriting an LLM in natural language
  11. 11 Third-party evaluation to identify risks in LLMs’ training data
  12. 12 Mechanistic Anomaly Detection Research Update 2
  13. 13 RLHF and RLAIF in GPT-NeoX
  14. 14 The Practitioner's Guide to the Maximal Update Parameterization
  15. 15 Mechanistic Anomaly Detection Research Update
Blog - PyImageSearch Blog - PyImageSearch
01:28
  1. 1 Building and Training a Kimi-K2 Model Using DeepSeek-V3 Components
  2. 2 Semantic Caching for LLMs: TTLs, Confidence, and Cache Safety
  3. 3 Semantic Caching for LLMs: FastAPI, Redis, and Embeddings
  4. 4 Pytest Tutorial: MLOps Testing, Fixtures, and Locust Load Testing
  5. 5 FastAPI for MLOps: Python Project Structure and API Best Practices
  6. 6 Agentic AI Vision System: Object Segmentation with SAM 3 and Qwen
  7. 7 Autoregressive Model Limits and Multi-Token Prediction in DeepSeek-V3
  8. 8 DeepSeek-V3 from Scratch: Mixture of Experts (MoE)
  9. 9 Build DeepSeek-V3: Multi-Head Latent Attention (MLA) Architecture
Chip Huyen Chip Huyen
01:28
  1. 1 Common pitfalls when building generative AI applications
  2. 2 Agents
  3. 3 Building A Generative AI Platform
  4. 4 Measuring personal growth
  5. 5 What I learned from looking at 900 most popular open source AI tools
  6. 6 Predictive Human Preference: From Model Ranking to Model Routing
  7. 7 Generation configurations: temperature, top-k, top-p, and test time compute
  8. 8 Multimodality and Large Multimodal Models (LMMs)
  9. 9 Open challenges in LLM research
  10. 10 Generative AI Strategy