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When Did AI Take Over Hacker News?

A fresh dive into 24,910 top Hacker News posts since 2019 shows that AI chatter didn’t blow up with ChatGPT—it took off afterGPT-4 landed in early 2023. The study used OpenAI’s Batch API and a lean GPT-5-mini to crunch the numbers. Turns out,52% of the AI talk was positive, and the busiest stretch?.. read more  

When Did AI Take Over Hacker News?
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Powering Real-Time AI Applications

Generative AI databases like SingleStore now cramOLTP,OLAP,vector search, andfull-text searchinto one SQL-first platform. Structured, unstructured—it eats both. No ETL. No silos. Just real-time data, ripe for AI models and semantic queries. System shift:Blending transactional and analytic guts in o.. read more  

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MCP Registry with Azure API Center

Azure just droppedMCP Center, showing off howAzure API Centercan double as a private registry forModel-Centric Protocol (MCP) servers. It’s built for internal use—think secure discovery, tight OAuth 2 auth, centralized control, and AI Gateway rules baked in. Handy when teams need to corral AI tools.. read more  

MCP Registry with Azure API Center
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Google releases AI agent Jules for programming

Google’s AI agentJulesjust leveled up—out of beta and into full-on dev mode. It now handlesasynchronous tasks, pushesreal-time code updates, and can spin up pull requests with deeperGitHub integration. Under the hood: it runs on the beefierGemini 2.5 Promodel. AddsEnvironment Snapshotsfor state cap.. read more  

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This New AI is 100x Faster at Reasoning Than ChatGPT

Sapient Intelligence’s HRM AI model challenges “bigger is better” in AI with a small 27M parameter design outperforming much larger models on reasoning tasks. The architecture mimics the brain, with a slow “planner” and rapid “worker,” achieving jaw-dropping results on benchmarks... read more  

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Fueling the Agentic Web Revolution with NLWeb and PostgreSQL

Microsoft just leveled upNLWeb. The open-source project now plays nice withPostgreSQLandpgvector, bringing scalable vector similarity search straight into your database. No need for a separate vector DB—run natural language interfaces right on your existing Postgres stack. System shift:This is more.. read more  

Fueling the Agentic Web Revolution with NLWeb and PostgreSQL
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Implementing MCP Servers in Python: An AI Shopping Assistant with Gradio

Gradio just leveled up. It now auto-converts plain Python functions intoMCP-compliant LLM tools, grabbing input schemas and metadata straight from docstrings. New tricks:real-time progress streaming,auto file uploads, plus tight integration withVS Code’s AI Chatfor wiring up agent workflows... read more  

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Who does your assistant serve?

OpenAI’s release of GPT-5 backfired: instead of excitement, users felt betrayed by a forced upgrade that stripped away the warmth and reliability they had come to rely on in GPT-4o. Many treated the model as more than a tool — a companion, therapist, or emotional support — so when its personality sh.. read more  

Who does your assistant serve?
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Anthropic Revokes OpenAI’s API Access to Claude, Alleging Violation Ahead of GPT-5 Launch

Anthropic just yanked OpenAI’s API access to Claude. Reason? Alleged violations of terms that forbid using Claude to train rival models—like GPT-5. Windsurf, an OpenAI acquisition target, got the boot earlier too. Spot the pattern: tighten access, box out competitors. System shift:APIs aren’t just .. read more  

Anthropic Revokes OpenAI’s API Access to Claude, Alleging Violation Ahead of GPT-5 Launch
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AWS deleted my 10-year account and all data without warning

AWS permanently nuked a 10-year customer account—data, backups, everything—after a payment verification failed. That alone broke their own 90-day retention policy. It gets messier. Looks like an internal script meant to run as a “dry run” went full send in production. Blame a Java CLI parsing edge .. read more  

AWS deleted my 10-year account and all data without warning
GPT-5.4 is OpenAI’s latest frontier AI model designed to perform complex professional and technical work more reliably. It combines advances in reasoning, coding, tool use, and long-context understanding into a single system capable of handling multi-step workflows across software environments. The model builds on earlier GPT-5 releases while integrating the strong coding capabilities previously introduced with GPT-5.3-Codex.

One of the defining features of GPT-5.4 is its ability to operate as part of agent-style workflows. The model can interact with tools, APIs, and external systems to complete tasks that extend beyond simple text generation. It also introduces native computer-use capabilities, allowing AI agents to operate applications using keyboard and mouse commands, screenshots, and browser automation frameworks such as Playwright.

GPT-5.4 supports context windows of up to one million tokens, enabling it to process and reason over very large documents, long conversations, or complex project contexts. This makes it suitable for tasks such as analyzing codebases, generating technical documentation, working with large spreadsheets, or coordinating long-running workflows. The model also introduces a feature called tool search, which allows it to dynamically retrieve tool definitions only when needed. This reduces token usage and makes it more efficient to work with large ecosystems of tools, including environments with dozens of APIs or MCP servers.

In addition to improved reasoning and automation capabilities, GPT-5.4 focuses on real-world productivity tasks. It performs better at generating and editing spreadsheets, presentations, and documents, and it is designed to maintain stronger context across longer reasoning processes. The model also improves factual accuracy and reduces hallucinations compared with previous versions.

GPT-5.4 is available across OpenAI’s ecosystem, including ChatGPT, the OpenAI API, and Codex. A higher-performance variant, GPT-5.4 Pro, is also available for users and developers who require maximum performance for complex tasks such as advanced research, large-scale automation, and demanding engineering workflows. Together, these capabilities position GPT-5.4 as a model aimed not just at conversation, but at executing real work across software systems.