Knowledge catalogue
Introducing Agnost AI (YC S26): Product Analytics for AI Agents. Analytics was never built for chat & voice. And that is the new interface. Your users' hidden feature requests, bugs & churn hide in co
Great paper on self-improving agent harnesses. (bookmark it) If you maintain a production agent harness, finding every file behind one behavior is often harder than writing the edit. Harness Handbook
Are structured outputs in agents always good? This paper suggests that you might have to take a closer look. Your product's structured output surface is measurably more homogeneous than the chat surfa
Can’t tell if the PR reads more like a security incident or a product release… We suspected last week's cyberattack might have come from a frontier lab, given the sophistication of the agent. Turns ou
The article examines how agentic AI, powered by AMD AI technologies and deployed on Vultr cloud infrastructure, delivers three production‑ready patterns across healthcare, insurance, and robotics. It
Multiplayer mode with AI is incredibly underrated and underutilized. Cat Wu shared that 65% of Anthropic’s product engineering team PRs are closed via Claude Tag sitting inside of Slack, and not singl
Voice agents are exploding. Don’t let them be a black box in production. Today, we’re launching LangSmith tracing for 4 voice frameworks: 🎙️ @pipecat_ai 🎙️ @livekit 🎙️ @OpenAI Realtime 🎙️ @GeminiApp L
On July 14, 2026, OpenAI CEO Sam Altman announced a 2.5‑fold increase in usage of the company’s agentic products—Codex and ChatGPT‑based tools—within the preceding week. The tweet, which received 703.
Identity-centered security solution company Entrust Corp. today launched the Agentic AI Trust Accelerator, a co-development program that brings together enterprises and technology partners to build th
Tesla has deployed 10 GWh of industrial energy storage products across Australia, a capacity equivalent to powering approximately 160,000 Tesla Model Y vehicles. This milestone reflects the growing ad
arXiv:2607.07817v1 Announce Type: cross Abstract: We present DreamCharacter-1, a lightweight post-adaptation framework that calibrates pretrained 3D foundation models toward high-fidelity, production-
How to get 100% consistent product ads from one seedance 2.0 generation all directed from one chat with the hashtag Comfy MCP. @hellorob didn't let the agent improvise a pipeline. He pointed it at his
𝕏 is a great platform for product announcements, especially if done by the CEO directly. Way more interesting to the public than generic press releases. This post by Mark Zuckerberg already received o
CNBC: Source: Greg Brockman will continue to oversee OpenAI's products as the company doesn't plan to hire anyone to replace Fidji Simo after she stepped down — There's a new second-in-command at Open
As a result, we can show that open-source-derived models are not inherently untrustworthy. They can be suitable for production agents with careful development, realistic evals, and targeted mitigation
check this out! you can get some amazing things done. codex is the core of our new work product and what makes it so good. codex is not going anywhere. Introducing ChatGPT Work, a new agent in ChatGPT
【採用情報】Data Engineer (Product) のポジションをオープンしました🐟 https://sakana.ai/careers/data-engineer-product/ プロダクトチーム初のデータエンジニアとして、AIが自律的にデータ分析を行うためのデータ基盤をゼロから構築していただくポジションです。 ・データパイプラインの構築・運用 ・プロダクトおよび ビジネス指標のデータ
Seedream 5.0 Pro is now in ComfyUI via Partner Nodes. ByteDance's latest image model brings: → Character & product consistency across edits → Precision region editing → Infographics, flowcharts & stru
Come help us scale @harvey’s model training team. If you’re interested in bringing frontier agent research into the Harvey product and working with: - @baseten to scale up RL to 80M+ token virtual dat
Provisioned Throughput is a new serverless product from @togethercompute w/ guaranteed TPMs. We created this for mission critical enterprise class applications. It functions like dedicated capacity bu
ComfyUI discusses innovations and improvements to its node-based production pipeline for generative AI workflows, likely covering updates to how users can construct and optimize image generation proce
This is what production RL infra looks like. ICYMI: RL training at scale separates into two distinct problems. - Tight collective comms for the trainer. - Distributed async inference for rollout. Kudo
arXiv:2607.05123v1 Announce Type: new Abstract: Recent advances in large language models and programmatic CAD have significantly improved Text-to-CAD generation for individual parts. However, producti
Gao Yuan / Bloomberg: Survey: Chinese companies plan to allocate 46% of their AI accelerator budget to domestic products in the next 12 months, up from 30% today, a shift from Nvidia — Chinese compani
my friends are all feeling extremely productive and also extremely drained with the latest coding models. this makes me feel like something is wrong, and also that there might be a big opportunity. do
Ann Cao / South China Morning Post: Shanghai-based AI chipmaker Biren raises ~892.5M in a new share sale to boost GPU production; Biren's stock is up 150%+ since its January Hong Kong IPO — Chinese ar
Jason Hiner / The Deep View: Q&A with Doug Brooks, senior product manager of Apple silicon, about Mac minis becoming preferred AI agent machines, future of on-device AI, and more — W — alk into any of
arXiv:2603.08001v3 Announce Type: replace Abstract: Maximum inner product search (MIPS) is a crucial subroutine in machine learning, requiring the identification of a vector taken within a database (t
Maximum inner product search (MIPS) is a crucial subroutine in machine learning, requiring the identification of a vector taken within a database (the keys) that best aligns with a given query. We pro
This article shares practical lessons and best practices from teams operating large-scale machine learning inference systems in production environments. It covers challenges and solutions related to m
arXiv:2607.00870v1 Announce Type: new Abstract: We study inference-time pattern-memory gating in a production-scale clinical natural language processing (NLP) pipeline. The pipeline pairs a generator
Grace Kay / The Information: Internal memo: Tesla plans to impose a 200-per-week limit for staff's AI spending beginning July 6; the tally excludes beta versions of xAI products — Tesla told employees
Q2 2026 Production: 451,758 Deliveries: 480,126 Energy storage deployments: 13.5 GWh Our Q2 Company Update will be streamed live on X on July 22 at 4:30pm CT → https://ir.tesla.com/press-release/tesla
Claude Fable 5 will be available again globally tomorrow. After a series of productive conversations with the US government, we're redeploying the model with a new set of classifiers to target and blo
'For agents within an actual product, I have gravitated to using LangChain DeepAgents. I feel like their base harness is less heavy, and their abstraction for building agents that use skills and tools
good post on the value of knowing whats going on in your harness 'For agents within an actual product, I have gravitated to using LangChain DeepAgents' The frontier model lab harnesses are amazing - d
Jeff Zhu (VP of Product) and Jasmeet Singh Gujral (Principal PM) join @jennapederson and Arjun Patel on the livestream today to talk about what we've shipped and what's coming. Then we get into the us
Kirstin Ridley / Reuters: Almost 1,700 UK investors sue Binance and Changpeng Zhao for at least £150M, alleging Binance sold them risky derivative products without regulatory approval — Almost 1,700 B
At an event for pharmaceutical executives, biotech founders, and researchers on Tuesday, Anthropic announced Claude Science, a major new product intended to support scientific research in the same way
【採用情報】Product Designerのポジションをオープンしました🐟 https://sakana.ai/careers/product-designer/ Sakana Chat🐟・Marlin🐬・Fugu🐡をはじめとした、プロダクトの体験をリードするProduct Designerを募集しています。 このような役割を担っていただきます。 ・コンセプト設計からUI、プロトタイプ、 ブラン
This post likely recommends resources or reading materials for practitioners looking to deploy and scale open-source language models in production environments. DAIR.AI, a research organization focuse
arXiv:2606.30294v1 Announce Type: new Abstract: Live product demonstrations are a recurring, high-cost activity in software organizations: a human presenter must select features, dispatch the correspo
Spotify's VP of Engineering Niklas Gustavsson discussed the company's deployment practices, revealing they execute 4,500 production deploys daily and that 73% of pull requests now utilize AI assistanc
Christine Mui / Politico: California strikes a deal with Anthropic to expand the use of Claude products across state agencies and local governments at a 50% discount — “A lot of departments are going
Citizen Vigilante is now #1 on Apple and on Amazon Video. A $750k movie beating blockbusters with hundreds of millions in production budget. Just because the director / producer had the courage to add
In this post, you learn how to debug production agent failures using built-in observability capabilities. We walk through common failure patterns, show how to analyze agent behavior with traces and me
Laura Kreutzer / Wall Street Journal: Quantifind, whose AI products help banks combat financial crimes such as money laundering, raised $200M led by Summit Partners — Its Graphyte platform aims to hel
Catherine Perloff / The Information: Sources: Amazon is weighing using OpenAI's and its own Nova models to cut costs after Anthropic raised prices for using its models in Amazon products — As Anthropi
The product of some of the work the LangChain Labs team has been up to recently 📌 You can read more about it here - https://www.langchain.com/blog/building-a-100x-cheaper-trace-judge-with-fireworks -
Agreed with this. There's a lot of value in both agents and software (i don't think SaaS is dead), but the product interfaces are different: 1. An agent is like a human. There are a core set of interf
DSpark from @deepseek_ai ingeniously integrates many speculative decoding ideas to achieve 1.5x to 5x higher throughput in a real production system Let's understand it with 10 ideas, starting from the
As token usage explodes, model choice becomes product strategy. Teams are already testing models like GLM-5.2 because they want frontier quality, better tokenomics, and more control over cost, data, a
'If I had to choose just one metric, I'd argue that the KV-cache hit rate is the single most important metric for a production-stage AI agent.' - Manus AI prompt caching is important! read about how w
June Launches + Live Q&A Hear from Comfy's CEO @yoland_yan and product leaders Deep Mehta, Alexis Rolland, @jojodecayz , and Matt Miller who will walk you through what's new and answer questions live.
In this post, you learn how Stripe built a production-grade AI agent system for financial compliance. We cover the technical architecture of Stripe’s ReAct agent framework and the infrastructure decis
arXiv:2603.10446v4 Announce Type: replace Abstract: Sign Language Production (SLP) faces a fundamental trade-off: direct text-to-pose models suffer from regression-to-the-mean effects, while dictionar
Financial Times: Sources: SpaceX COO Gwynne Shotwell told investors during an IPO roadshow SpaceX may launch a Starlink mobile product and build its own terrestrial US network — Move would test whethe
AI SDK 7 is here. This release sets the foundation for agents and AI platforms in production: approvals, durability, telemetry, and more. AI SDK 7 is now available. Introducing: reasoning control, age
Gianluca Lo Nostro / Reuters: Anthropic hires French telecom group Orange's Chief AI Officer Steve Jarrett to help Anthropic “better understand and adapt” its products to Europe and Africa — The artif
MacKenzie Sigalos / CNBC: Apple stock closed down 6.15% on Thursday after the company raised some product prices, its worst fall since April 2025 — Apple on Thursday announced price hikes on MacBooks