Search: “productivity”

If you design production agent systems, this matters. Most devs accidentally let their framework defaults make critical architecture decisions without thinking it through. This paper shows you how to

@ollama + @deepseek_ai v4 pro handled entire monthly dev reports on Eigent. github prs → word doc → slack message → sent to product-release channel. in just one prompt. fully local. the full walkthrou

arXiv:2605.18818v1 Announce Type: new Abstract: Academic research tends to focus on new models for document understanding creating a wide gap in the literature between model definition and running mod

LangSmith Engine is a new product from LangChain that an executive predicts will become the company's fastest-growing offering. The announcement was made via blog post on LangChain's website and share

arXiv:2605.18328v1 Announce Type: new Abstract: LED Virtual Production (VP) uses large LED volumes to render backgrounds in real time, enabling in-camera visual effects but making post-shot changes la

Computer use turns Claude into an agent that can operate real UIs. New blog post on making it reliable in production: getting click accuracy right, choosing thinking effort levels, keeping long sessio

Engine is a sophisticated production agent system developed by a team that Harrison Chase recommends for understanding advanced agent architecture and implementation. The post suggests it represents n

Google's Gemini 3.5 Flash model costs approximately 3x more than Gemini 3 Flash, despite being a newer version. Google plans to integrate Gemini 3.5 Flash into many of their own products, suggesting t

'One thing that we've been seeing recently is that inference benchmarks don't really match production workloads that well.' - @realDanFu, VP of Kernels When you're running dozens of concurrent coding

People are generating over 1.5 billion images a week in ChatGPT. Researcher @kenjihata joins Product lead @adele__li and host @AndrewMayne to explore the new use cases and trends emerging since the la

arXiv:2605.18029v1 Announce Type: new Abstract: Multimodal product retrieval (MPR) underpins checkout-free retail and automated inventory systems, yet it demands fine-grained SKU discrimination that s

X Is Making a Major Creator Push, Launching Ad Product to Connect Brands and Users (Exclusive) https://www.hollywoodreporter.com/business/digital/x-creator-push-advertising-new-product-brands-12365971

Kirsten Korosec / TechCrunch: Anthropic acquires NYC-based Stainless, which generates SDKs from APIs, and plans to wind down its hosted products, after reportedly discussing a $300M+ deal — Anthropic

How do you know your document parser is ready for production? 🤔 Existing benchmarks miss what AI agents actually need. That's the gap ParseBench, the first doc OCR benchmark for AI agents, fills. We'l

Julia Love / Bloomberg: Sources: competition for Google's TPUs among its employees and researchers intensified as it prioritizes cloud customers and flagship AI products over research — In the race to

This is one of the first real continual learning systems for agents in production. Not just monitoring. Actually getting better over time. LangSmith Engine is how we’re spinning the always-on, self-im

We're still celebrating the moms who build, Mother's Day or not. Ruth is a designer who spent years making digital products without ever learning to code. The moment Replit's AI agent landed in the ID

Build dashboards and automations from your Snowflake data for pipeline analysis, product usage, customer segments, and more. Admins maintain control over access, business definitions, and shared data

Introducing Rime Mist v3 on Together AI, a production TTS family built for deterministic pronunciation and controllable voice output. AI natives can now deploy @rimelabs Mist v3 on Together AI dedicat

Most teams can pick frontier models. Fewer can run them at production scale without hitting constraints in latency, throughput, and governance. Fireworks AI on @Azure AI Foundry provides the inference

Together AI will present seven research papers at MLSys 2026, showcasing projects that demonstrate the transition from research to production applications. The announcement highlights the company's co

@mingchikuo: Sources: Intel has begun testing production of “low-end/legacy iPhone, iPad, and Mac processors”; Apple thinks TSMC's resources will continue tilting toward AI — ... Apple has kicked off

A new Database product based on @ApacheDataFusio was announced today from @LangChain -- focused on agent observability. It is really neat to see how people are building (very) customized data + query

OpenAI announced a 30-day promotional period offering companies easy access to try Codex, positioning it as a leading AI coding product. The initiative aims to lower barriers for businesses interested

Introducing Managed Deep Agents: the fastest way to ship a production deep agent. ✅ Harness ✅ Context ✅ Code execution All managed for you. Deploy with a single line of code. https://www.langchain.com

arXiv:2605.11471v1 Announce Type: new Abstract: Matrix product operator Born machines (MPO-BMs) are tractable tensor-network models for probabilistic modeling, but their efficient approximation capabi

We just shipped tons of new products to accelerate the full agent development lifecycle: https://www.langchain.com/blog TLDR: ✅ LangSmith Engine ✅ SmithDB ✅ Sandboxes ✅ Managed Deep Agents ✅ LLM Gatew

When you want to move from single agent SQLite on something like QMD, PostgreSQL is a great choice for multi agent and production quality, but not as snappy. So we made it much more snappy with BM25 &

arXiv:2603.25561v2 Announce Type: replace Abstract: Saccharomyces cerevisiae is increasingly recognised as a key source for single-cell protein (SCP) production, a rising solution to global protein-su

arXiv:2605.09024v1 Announce Type: new Abstract: Virtual production (VP) use LED walls to provide both background imagery and image-based lighting. While this enables on-set compositing, it couples lig

There is all the difference in the world between takers and makers. Production never even crosses their minds. Like parasites, socialists exist solely to take and consume, never to create or contribut

concluding my 'taking deep agents to production' series with arguably the most important component: observability. when you deploy a deep agent with LangSmith, you automatically get traces for every r

i keep coming back to this post -- it enumerates a ton of requirements you need to think about when taking an agent to production, and how the langgraph runtime is built to address these needs! https:

Most teams can build agents, but far fewer have the infrastructure or know-how to run them reliably in production. Join us for an evening in San Francisco on May 19th, with Victor Moreira + @Vtrivedy1

Our new voice models are now available in the Realtime API: 🎙️ GPT-Realtime-2: Build production-ready voice agents that can think harder, take action, handle interruptions, and keep conversations flow

This discussion examines the practical performance gains of quantization techniques when deployed in production environments, particularly addressing whether theoretical speedups translate to real-wor

Ramp Labs is doing a ton of cool work all the way from launching products to hardcore research on LLM internals, this is a fun one 🔥 Talked to @ramplabs Head of Applied Research Alex Shevchenko on the

Anissa Gardizy / The Information: Sources: OpenAI and Broadcom discuss terms for Broadcom to finance initial custom chip production for ~$18B, conditioned on Microsoft buying ~40% of the chips — When

300 million agents. @clay runs all of them through LangSmith. This is what production-grade AI looks like at one of the fastest moving startups! .@Clay uses LangSmith to manage 300M agent runs a month

Farah Stockman / New York Times: Bristol Myers Squibb's Massachusetts facility boosted drug production volume for clinical and commercial use by ~40% with AI, a bright spot in US manufacturing — A Bri

arXiv:2605.03917v1 Announce Type: cross Abstract: We study scalar dyadic refinement operators on R^2 of the form (Vf)(x,y) = sum_{(j,k) in Z^2} c_{j,k} f(2x-j, 2y-k), where only finitely many mask coe

Introducing Factory Describe your idea in one sentence and Factory builds the first draft of the production for you. It plans the scenes, chooses the models, generates the assets, and wires everything

We’ve been working closely with the @harvey team on the launch of the Legal Agent Benchmark, a product focused on evaluating how open-weight models perform on long-horizon, real-world legal tasks. Che

Inference is 80-90% of the lifetime cost of a production AI system. Most AI-native teams are leaving performance and margin on the table. Here’s how Together AI, the AI Native Cloud, fixes that on @nv

Deborah Sophia / Reuters: Amazon debuts Supply Chain Services, allowing other companies to use its logistics network to move, store, and deliver raw materials, final products, and more — Amazon.com (A

This case study examines how Metrum AI leveraged Vultr's cloud infrastructure and services to accelerate the transition of AI projects from prototype to production environments. It likely covers the t