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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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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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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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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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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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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
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A practical guide on how to use the GitHub MCP server

GitHub offers a managed MCP endpoint to simplify infrastructure management and streamline AI workflows, enhancing collaboration and code review processes... read more  

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Does platform engineering make sense for startups?

Platform engineering isn't just for the big dogs anymore. Startups are picking it up as astrategic edge, building tight, high-leverage tooling from day one. Think:templated CI/CD pipelines, plug-and-play infra modules, zero-handoff onboarding. Done right, these early bets smooth the path and keep d.. read more  

Does platform engineering make sense for startups?
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Proton launches free standalone cross-platform Authenticator app

Proton just droppedProton Authenticator, a free 2FA app that actually respects your privacy. It’s cross-platform, offline-friendly, and skips the usual junk—no ads, no trackers, no bait-and-lock-in. It’s gotend-to-end encryption, a biometric lock, and lets youexport TOTP seedslike it’s your data (b.. read more  

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How to use Terraform to generate secrets

Terraform just leveled up secret handling inAzure Key Vault. It now supports automated secret generation withrandom_password, plus full lifecycle control—rotation, expiration, and storage—baked right into your IaC. Secrets stay marked as sensitive. They're managed in one place. And thanks to Terraf.. read more  

How to use Terraform to generate secrets
Gemini 3 is Google’s third-generation large language model family, designed to power advanced reasoning, multimodal understanding, and long-running agent workflows across consumer and enterprise products. It represents a major step forward in factual reliability, long-context comprehension, and tool-driven autonomy.

At its core, Gemini 3 emphasizes low hallucination rates, deep synthesis across large information spaces, and multi-step reasoning. Models in the Gemini 3 family are trained with scaled reinforcement learning for search and planning, enabling them to autonomously formulate queries, evaluate results, identify gaps, and iterate toward higher-quality outputs.

Gemini 3 powers advanced agents such as Gemini Deep Research, where it excels at producing well-structured, citation-rich reports by combining web data, uploaded documents, and proprietary sources. The model supports very large context windows, multimodal inputs (text, images, documents), and structured outputs like JSON, making it suitable for research, finance, science, and enterprise knowledge work.

Gemini 3 is available through Google’s AI platforms and APIs, including the Interactions API, and is being integrated across products such as Google Search, NotebookLM, Google Finance, and the Gemini app. It is positioned as Google’s most factual and research-capable model generation to date.