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5sources

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Sammanställd nyhet

Add GPT‑Realtime‑2 to your API to enable live voice reasoning, tool calling, and context up to 128K.

OpenAI Blog Latent Space AI News Simon Willison Hacker News (front page)

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Lead story

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The Hidden Energy, Water, and E‑Waste Footprint of AI

Measure the environmental impact of AI workloads and plan for sustainable data‑center usage.

UX Collective 4 May ai-dev 8/10

affects: internal

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8/10

Intercom's Fin AI Agent: A New Source of Pipeline

Set up Fin as a distinct pipeline source, track its metrics separately, and appoint an AI SDR program lead to own strategy, optimization, and integration.

Intercom Blog 4 May ai-dev

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7/10

AI Design Principles: The Human‑AI Decision Contract and Automation Bias

Review AI‑powered interfaces to ensure humans actively evaluate evidence, not just approve AI outputs.

UX Collective 5 May ai-dev

ai-dev

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6/10

Running Qwen 3.6 Models Locally on an RTX 3090 – Performance & Reliability Issues

Test smaller Qwen models or different quantizations to improve speed; tweak llama‑server flags like –c and –b for optimal GPU memory usage; consider Qwen 3.6 27B with q8_0 quant for better reliability.

Reddit r/LocalLLaMA 5 May ai-dev

ai-dev

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5/10

Meta Faces Lawsuit Over Alleged Copyright Infringement in AI Training

Meta is alleged to have illegally copied millions of copyrighted works to train Llama, prompting a lawsuit from five publishers and author Scott Turow.

Hacker News (front page) 5 May ai-dev

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7/10

LangSmith Agent Architecture Quickly Start Evaluating LLMs With OpenEvals

Integrate openevals and agentevals into your evaluation pipeline to standardize LLM quality checks.

LangChain Blog 5 May ai-dev

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7/10

AI is the New Co-Founder: 2026 Developer Trends

Adopt AI coding tools, TypeScript, SSR/SSG, and PWAs to stay competitive.

Dev.to (top) 5 May ai-dev

ai-dev

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7/10

Tokenization in LLMs: From Characters to Byte Pair Encoding

Implement BPE tokenization to efficiently encode text for LLM training.

Dev.to (top) 5 May ai-dev

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6/10

Training Tiny LLMs for 64‑Token Summaries on a Mac Mini Cluster

Train tiny LLMs for 64‑token summarization by fine‑tuning with a length penalty and running GRPO on a 3‑node Mac Mini cluster with MLX and vLLM‑metal.

Reddit r/LocalLLaMA 5 May ai-dev

ai-dev

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7/10

FastDMS: 5‑8x KV Memory Reduction and 1.5‑2x Speed Boost for LLMs

Implement FastDMS in your inference pipeline to cut KV memory usage by up to 8× and boost decoding speed by 1.5‑2×.

Reddit r/LocalLLaMA 4 May ai-dev

ai-dev

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7/10

Async Embedding Batching, Claude Code Session Plugin, and LLM‑Powered Game Development

Check adding the async coalescer to batch embedding requests in your RAG pipeline and using the Claude plugin to coordinate parallel code sessions.

Dev.to (top) 4 May ai-dev

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7/10

Observability & Evals Agent Architecture Evaluating Skills The LangChain Team

Run Claude Code in a clean Docker environment, define constrained tasks, and compare skill usage to measure performance gains.

LangChain Blog 4 May ai-dev

ai-dev

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7/10

Five Nylas CLI Tools to Give AI Agents Controlled Email and Calendar Access

Use the five Nylas CLI tools—email send, email list, calendar events list, contacts search, and agent account create—to give AI agents controlled email and calendar access. Configure NYLAS_MCP_TOOLS to expose only these tools.

Dev.to (top) 4 May ai-dev

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7/10

LangSmith Introducing End-to-End OpenTelemetry Support in LangSmith

Enable OpenTelemetry in your LangChain app by installing the otel extras and setting LANGSMITH_OTEL_ENABLED=true.

LangChain Blog 4 May ai-dev

ai-dev

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7/10

Building AI Receptionists: The Hard Part Is the Orchestration

Understand that building AI is easy, but orchestrating infrastructure takes 6‑8 months and a 1000 ms latency budget.

Dev.to (top) 4 May ai-dev

ai-dev

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7/10

Multi‑Agent System Across Clouds: Async, Stateless, and Secure

Use Celery with Redis for async cross‑cloud task delegation.

Dev.to (top) 4 May ai-dev

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7/10

LangSmith Regression Testing with LangSmith

Use LangSmith Comparison View to compare multiple runs.

LangChain Blog 4 May ai-dev

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7/10

Agent Architecture Iterating Towards LLM Reliability with Evaluation Driven Development

Implement evaluation driven development using LangSmith for Dosu.

LangChain Blog 4 May ai-dev

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7/10

Tutorials & How-Tos Chat with your data using OpenAI, Pinecone, Airbyte and Langchain

Build a connector bot by integrating Airbyte, Pinecone, and LangChain.

LangChain Blog 4 May ai-dev

ai-dev

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7/10

AI Evals Are Becoming the New Compute Bottleneck

Evaluation costs for agent benchmarks can reach tens of thousands of dollars; use coarse‑to‑fine strategies like Flash‑HELM or anchor‑point subsampling to cut compute by 100×–200× while preserving ranking.

Hugging Face Blog 4 May ai-dev