全部热榜
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03:26
- 1 Scaling Enterprise Conversational Intelligence: Cross-industry Technology and Functional Solutions Powered by Databricks Genie
- 2 Beyond parsing X12: Closing the gap for revenue cycle workflows in healthcare
- 3 Query Tags: The Context Your Warehouse Queries Have Been Missing
- 4 Debunking 8 data layout myths: why Liquid Clustering outperforms partitioning
- 5 Enabling Evolutionary Database Development: database branching with Lakebase
- 6 AI Doesn't Scale Until You Stop Calling It Innovation
- 7 Databricks at SIGMOD 2026
- 8 Winning under CMS TEAM: Building the learning health system to realize success in VBC today and tomorrow
- 9 How enterprise leaders are scaling AI agents across their organization
- 10 Advancing Apache Iceberg on Databricks: Iceberg v3 GA, Open Sharing, and Unified Governance
- 1 Scikit-LLM vs. Traditional Text Classifiers: When Should You Use an LLM?
- 2 The Roadmap for Mastering LLMOps in 2026
- 3 Serving Multiple Users at Once: How Continuous Batching Keeps LLM Inference Efficient
- 4 Building a Context Pruning Pipeline for Long-Running Agents
- 5 The Statistics of Token Selection: Logits, Temperature, and Top-P Walkthrough
- 6 Building a Multi-Tool Gemma 4 Agent with Error Recovery
- 7 Implementing Hybrid Semantic-Lexical Search in RAG
- 8 Building Context-Aware Search in Python with LLM Embeddings + Metadata
- 9 How to Build a Multi-Agent Research Assistant in Python
- 10 Agentic Programming: A Roadmap
03:26
- 1 DoubleLine's Cohen Warns of AI Bubble Coming to Credit Markets
- 2 BofA CEO Moynihan on Affordability, Lending and AI Spending
- 3 Alphabet Upsizes Equity Offering to $85B for AI Spending
- 4 How Duke Energy Plans to Meet AI Demand
- 5 AI Financing Is an Arms Race, Says GoldenTree's Tananbaum
- 6 DoubleLine’s Cohen Says AI Bubble Is Coming to Credit Markets
- 7 SpaceX Rejects Another Wall Street Convention Ahead of IPO
- 8 SpaceX To Target $75B in IPO at $135 Per Share | Bloomberg Tech 6/03/2026
- 9 OpenAI CEO to Share Oversight Ideas in Wake of Trump AI Order
- 10 Diameter Hires Graduates for First Time for AI Skills
- 11 SpaceX Said to Target $75 Billion in IPO at $135 Per Share
- 12 Anthropic Picks Morgan Stanley, Goldman Sachs to Lead IPO
- 13 Goldman’s Minnis Sees AI as ‘Generational’ Force Driving Markets
- 14 Bill Ackman’s Pershing Square to Exit Universal Music Stake
- 15 GoldenTree's Tananbaum Says It's a 'Tough Time' to Be in Credit
03:26
- 1 Inside the network watching the world in real time
- 2 A memo from the future
- 3 A playbook for the next century of progress
- 4 Progress is a grand project for humanity
- 5 How Ford built “an efficiency engine” around the Model T
- 6 The left–right twist that could rewrite tech
- 7 America’s path to maritime leadership is clear — but it demands urgency
- 8 Longevity progress is real. So are the scams.
- 9 How a dog’s life could extend yours
- 10 Living longer — and healthier — starts with boosting your brain
- 11 The longevity movement is growing — but it needs to go global
- 12 My time among the immortality tribe
- 13 Retro Biosciences wants to add 10 healthy years to your life
- 14 Why tomorrow’s longevity treatments could be divided by sex
- 15 AI deadbots can keep “you” around after death — what does that mean for the living?
03:26
- 1 How to win a best paper award
- 2 Are large language models worth it?
- 3 Gate-level emulation of an Intel 4004 in 4004 bytes of C
- 4 miniHDL: A Python Hardware Description Language DSL
- 5 Machines of Ruthless Efficiency
- 6 My Thoughts on the Future of "AI"
- 7 What my privacy papers (don't) have to say about copyright and generative AI
- 8 Career Update: Google DeepMind -> Anthropic
- 9 AI forecasting retrospective: you're (probably) over-confident
- 10 A 2-ply minimax chess engine in 84,688 regular expressions
- 11 Letting Language Models Write my Website
- 12 You should forecast the future of AI
- 13 How I Use "AI"
- 14 Why I attack
- 15 (yet another) Broken Adversarial Example Defense at IEEE S&P 2024
03:26
- 1 Your harness, your memory
- 2 Previewing Interrupt 2026: Agents at Enterprise Scale
- 3 Deep Agents Deploy: an open alternative to Claude Managed Agents
- 4 Human judgment in the agent improvement loop
- 5 Better Harness: A Recipe for Harness Hill-Climbing with Evals
- 6 Deep Agents v0.5
- 7 Arcade.dev tools now in LangSmith Fleet
- 8 Continual learning for AI agents
- 9 How My Agents Self-Heal in Production
- 10 Open Models have crossed a threshold
- 11 March 2026: LangChain Newsletter
- 12 Announcing the LangChain + MongoDB Partnership: The AI Agent Stack That Runs On The Database You Already Trust
- 13 Agent Evaluation Readiness Checklist
- 14 How Kensho built a multi-agent framework with LangGraph to solve trusted financial data retrieval
- 15 How we build evals for Deep Agents
03:26
- 1 ggsci 5.0.0 and py-ggsci 2.0.0: Generative Color Scales from Gephi
- 2 Paper Mono with Fira Code ligatures
- 3 Why AI Feels Useless at Work
- 4 Becoming a Vibe Maintainer
- 5 Intellectual Minimalism
- 6 Noto Sans Mono with Fira Code ligatures
- 7 Introducing pytest-r-snapshot: Verifying Python code against R outputs at scale
- 8 revdeprun 2.1.0: hunting bottlenecks and a new speedrun record
- 9 DM Mono with Fira Code ligatures
- 10 Reverse dependency check speedrun: a data.table case study
- 11 revdeprun: Rust CLI for R package reverse dependency check automation
- 12 ggsci 4.0.0: 400+ new color palettes
- 13 Introducing py-ggsci: ggsci color palettes for plotnine in Python
- 14 The trash can has become the trashed can
- 15 Markdown Stupefy: Tidy AI Text in VS Code
03:26
- 1 Your Enterprise Data Deserves Better Than a Chatbot
- 2 The smartest AI teams are moving past chatbots
- 3 Beyond the Demo: What Real AI Agents Actually Do at Work
- 4 What Upwork, DoorDash, Meta, EY, and Fundrise reveal about agents
- 5 The Vatican’s AI Principles: What You Need to Know
- 6 An AI Math Breakthrough and the New Division of Labor
- 7 Integration Is the New Moat: Moving Beyond the LLM
- 8 Google I/O 2026: The Agent Layer Takes Shape
- 9 Stop upgrading your LLM. Start fixing your data.
- 10 The End of the AI Experiment: Surviving the CFO’s New ROI Demands
03:26
- 1 AI Agent Sandboxing for SaaS: How Builders Let Agents Work Without Letting Them Roam
- 2 Stop Building RAG Pipelines That Lie to You
- 3 AI Agent Memory for SaaS: A Builder’s Guide to Context That Does Not Betray Users
- 4 Why I Moved My Agentic Coding Harness from Claude Code to Codex
- 5 The Delegation of Attention
- 6 A Different Approach to Deriving The Kalman Filter
- 7 Ultimate Guide for Deep Agents
- 8 How to Master Claude: 8 Simple Habits That Separate Power Users From Everyone Else.
- 9 Chain-of-Thought Prompting: Getting AI to Reason Step by Step — Prompt to Profit · Day 11 of 30
- 10 Claude Code Pitfalls: Claude Code Won’t Do What You Told It: A Troubleshooting Catalog
03:26
- 1 From Notebook to Production: Building End-to-End AI Systems - Mariano Semelman
- 2 Data Makers Fest 2026 Conference Interviews
- 3 Competitions: Beyond the Kaggle Leaderboard - Tatiana Habruseva
- 4 PyConDE 2026 Conference Interviews
- 5 Starting a Data Conference: The Data Makers Fest Story - Leonid Kholkine
- 6 Understanding the AI Engineer Role - Nasser Qadri
- 7 Data Engineer Career in 2026: Roles, Specializations, and What Companies Look for - Slawomir Tulski
- 8 Inside the AI Engineer Role: Tools, Skills, and Career Path - Ruslan Shchuchkin
- 9 How to Become an AI Engineer After a Career Break - Revathy Ramalingam
- 10 The Future of AI Agents - Aditya Gautam
- 11 Foundations of Analytics Engineer Role: Skills, Scope, and Modern Practices - Juan Manuel Perafan
- 12 AI Engineering: Skill Stack, Agents, LLMOps, and How to Ship AI Products - Paul Iusztin
- 13 Applying ML: An Ongoing Personal Journey
- 14 Building Pet Health Tech: ML, Sensors, and Dog Behavior Data
- 15 From Full-Time Mom to Head of Data and Cloud - Xia He-Bleinagel
- 1 Why Authenticity Beats Algorithms: The New Rules of Digital Marketing - ML 185
- 2 Integrating Business Needs and Technical Skills in Effective Model Serving Deployments - ML 184
- 3 Navigating Common Pitfalls in Data Science: Lessons from Pierpaolo Hipolito - ML 183
- 4 Cows, Camels, and the Human Brain - ML 182
- 5 A/B Testing with ML ft. Michael Berk - ML 181
- 6 Navigating Build vs. Buy Decisions in Emerging AI Technologies - ML 180
- 7 Artificial Intelligence as a Service with Peter Elger and Eóin Shanaghy - ML 179
- 8 Combating Burnout in Machine Learning: Strategies for Balance and Collaboration - ML 178
- 9 The Nature of the World and AI with Rishal Hurbans - ML 177
- 10 Crafting Data Solutions: Shrinking Pie and Leveraging Insights for Optimal Data Learning - ML 176
- 11 Challenges and Solutions in Managing Code Security for ML Developers - ML 175
- 12 Innovative Security Solutions for Developers - ML 174
- 13 Peer Review and Career Development - ML 173
- 14 Navigating Expertise Gaps - ML 172
- 15 The Influence of Gen AI on Personalized Education and Curiosity - ML 171
03:26
- 1 EU sets out plans to reduce reliance on US cloud providers
- 2 After a quick 1.1M sales, MacBook Neo set to reshape the PC industry
- 3 RTX Spark may split the AI PC market into mainstream laptops and premium workstations
- 4 A retro-geeky Android home screen remix
- 5 Enterprise Spotlight: Rethinking cloud strategy in the age of AI
- 6 Microsoft unveils Scout, an autonomous AI agent built on OpenClaw
- 7 Apple’s M1 MacBook Air refuses to die
- 8 The AI pricing conundrum — it started as a nightmare, now it’s worse.
- 9 WWDC: What can developers expect?
- 10 Intel stakes new claim in physical AI with robotics chips
- 11 IBM unveils tool to track sovereignty risks for cloud workloads
- 12 Windows 11 Smart App Control explained
- 13 Windows 11 Insider Previews: What’s in the latest build?
- 14 Open source Euro-Office productivity suite to launch June 9
- 15 Meta considers becoming a hyperscaler