Search: “agents”

Every article saying 'THIS IS THE NEW JOB OF THE AI ERA' is one of two jobs. And the first is a lie imo. The first job, is usually something that an AI lab is hiring for and the news blows it complete

If you build with MCPs, this one is worth reading. (bookmark it) The paper covers five recurring MCP server patterns across fifteen independently developed servers. That taxonomy is useful because I s

this may be ai generated, but is true - the hardest part of wikis (and memory in general) is the process that condenses raw data into learnings/memory @hwchase17 @cognition @FactoryAI @karpathy wiki m

Watch Devin Fusion work: The sidekick model handles fetching information and skimming sources. The frontier model makes a plan for implementation, then delegates well-scoped sub-tasks to the sidekick

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 -

Ends Tuesday. Top winners each get $ + DGX Spark + Stripe credits. The Hermes Agent Accelerated Business Hackathon presented by @NVIDIAAI × @stripe × @NousResearch starts now, for builders making agen

It really isn't an exaggeration! LiteParse clocks in at an average of 3ms per page for a reason: it skips the heavy AI processing and cloud overhead entirely. Here is exactly how it pulls off that kin

Frontier models are getting really expensive Model providers give us a bunch of features to reduce costs, but the support landscape is….inconsistent We made prompt caching support model-agnostic in de

SakanaAIは、有限責任あずさ監査法人と共同で、LLMエージェントの長期的な経営能力を評価する新しいベンチマーク「CoffeeBench」を公開しました。 ブログ：https://sakana.ai/coffee-bench/ 現実の経済では、消費者へ直接売るビジネスだけでなく、企業同士が継続的に取引するビジネスも重要です。CoffeeBench は、農家・焙煎店・小売店の計6社が参加するコー

team cooked, spicily We’ve designed and built our first AI chip: Jalapeño. Designed from the ground up by OpenAI and brought to production with @Broadcom, Jalapeño is purpose-built for the LLM workloa

LangSmith enables tracing and monitoring of AI SDK 7 operations, allowing developers to observe and debug their AI applications built with the SDK. This tool provides visibility into model interaction

You can now equip your n8n workflows with the world's best parsing/extraction over your most complex documents 📃💫 We're excited to announce that LlamaParse is now an officially verified community node

At @CAISconf last month, @andykonwinski sat down with researchers on the conference floor -- @matei_zaharia @istoica05 @lateinteraction @dawnsongtweets @gneubig @pgasawa @JonSaadFalcon @heathercmiller

I love using GLM 5.2 for web app iteration. My workflow: generate 6 variations, then pick the best one and continue iterating on it. I built Recast to make this even easier. Give it a prompt, get 6 va

This has a lot in common with how controlled self-evolution works in Row-Bot. And that built on top on LangGraph too. Here's an article I wrote about how it works a few days ago: https://x.com/i/statu

We raised $8m to build self-healing software. In 2026, software moves fast. But monitoring and observability are still manual and slow. @sazabi is a next-generation observability platform for fast-mov

I decided to run my knowledge base inside a @Cloudflare Worker👀 How? Surprisingly easily: • Spin up a @qdrant_engine cluster and grab the credentials • Process incoming files at the edge: parse with @

We’ve designed and built our first AI chip: Jalapeño. Designed from the ground up by OpenAI and brought to production with @Broadcom, Jalapeño is purpose-built for the LLM workloads powering ChatGPT,

I built a @NousResearch Hermes workflow that my team at @Box uses to track AI trends. Every day at 7am, it researches what's happening across the AI ecosystem and generates a brief for our team. We us

Join us in 30 minutes! https://discord.gg/2csybmPvq?event=1518673734708236458 Join us in our Discord this time tomorrow for Office Hours! Our topic will be the @NVIDIAAI × @stripe × @NousResearch Herm

Guess which is Fugu Ultra? This is how recent models compare when generating endless procedural terrain (using Three.js). All of these are one-shotted! Just wild! Trying a few more examples. Will shar

I have been trying Sakana Fugu Ultra-high and, first, it is incredibly slow: my typical coding tests (shaders, interactive scenes) take 30 minutes to run And the results are... fine. It does not match

🐡 Sakana Fugu リリース 🐡 マルチエージェントを指揮する、一つのモデル ブログ：https://sakana.ai/fugu-release/#Japanese 本日、Sakana AIは新しいプロダクト「Sakana Fugu」の提供を開始しました。Sakana Fuguは、最先端のモデル群からなるマルチエージェントシステム全体を、単一のモデルAPIとして提供します。 難しいタスク

This is a reminder that we are co-hosting a massive pickleball tournament 🏓 next Tuesday June 30th, as folks are in town for the @aiDotEngineer World Fair. Come check it out! https://luma.com/the-agen

Tried & liked it on http://archive.tw. Fugu Ultra pairs well as a advisor & planner with Composer 2.5. For scope/architecture, it’s on par with Fable orchestration. Advisor doesn’t slow the loop if th

A fundamental problem with extending Codex/Cowork/Code to all knowledge work is that they remain very 'software-brained' where the end result (the software) is what is important & that code serves as

🚨🚨🚨A research project idea! How to measure world models? Everyone's talking about world models these days. World model here, world model there. We can argue about what 'world model' actually means, an

I agree with this. Programming abstractions have moved from code to English. Markdown files within a directory are a really simple but versatile container for storing this task hierarchy The next hot

If your AI is still being sycophantic, here’s how to solve it 👀 ✅ Option 1: “here is my research paper - be critical of it please” ✅ Option 2: “here is my research paper - spin up subagents to review

As frontier models (e.g. Fable 5) continue to push the task horizon of knowledge work automation, it becomes ever more important for humans to be able to audit decisions back to the source context. It

Parsing a document accurately is one thing. Proving where every value came from is another. When a compliance team reviews an AI extraction, or an auditor needs to sign off on a figure pulled from a f

The AI champions strategy of 2023 doesn't work in 2026. Let me give you my very hot take 🔥 (And know that this is anecdotal, and the world of AI changes every 2 heartbeats, so by the time I finish thi

AIを作るAIを作る：RSI Lab始動 https://sakana.ai/rsi-lab-jp/ Sakana AIは、再帰的自己改善(Recursive Self-Improvement、RSI)に取り組む専任の研究グループ「RSI Lab」を、東京で立ち上げます。RSIは、AIがAIそのものを作る仕組みです。 この2年間、私たちはLLM-Squared、Darwin Gödel Machi

Hermes Desktop 现已支持简体中文——聊天界面完整适配简体中文。 桌面应用现在已在所有 UI 界面全面提供简体中文（Simplified Chinese / 简体中文）翻译：包括聊天窗口本身、侧边栏、设置、命令中心、cron、消息、个人资料、技能、智能体等全部内容。 英语仍为默认语言；你可以在“外观”设置中切换语言，选择后会自动保存到配置项 display.language。 Herm

This analysis from yesterday looks even more apt today — especially after we heard that the model providers have gone to Washington in search of handouts. ⚠️Why didn’t the hyperscalers wait until afte

1/ 🔥 @NoPriorsPod x @LatentSpacePod chat with @SatyaNadella at @Microsoft Build. He has the sharpest mental models of any public company CEO I've interviewed. $MSFT is at its heart still a tools compa

here’s why i think the situation may be dire: https://x.com/GaryMarcus/status/2062369417372258652?s=20 ⚠️Why didn’t the hyperscalers wait until after the IPO in switching to pay-by-usage-charging? My

Many research labs only consider inference efficiency after the fact. Step 3.7 Flash is a 198B sparse MoE VLM designed by @StepFun_ai for inference from the start. 196B language backbone with a 1.8B v

NVIDIA’s Nemotron 3 Ultra is available on Ollama’s cloud! Try it 👇 Claude Code: ollama launch claude --model nemotron-3-ultra:cloud Hermes Agent: ollama launch hermes --model nemotron-3-ultra:cloud Op

⚠️Why didn’t the hyperscalers wait until after the IPO in switching to pay-by-usage-charging? My guess is that *they literally could not afford to* —because it would bankrupt them. My reasoning: in “a

langsmith! ✅ Sandbox: https://docs.langchain.com/langsmith/sandboxes ✅ Gateway: https://docs.langchain.com/langsmith/llm-gateway ✅ Observability: https://docs.langchain.com/langsmith/observability eve

With LangSmith Engine, systemic issues get surfaced automatically instead of getting buried in traces. @ollieelmgren from @ListenLabs on how LangSmith Engine changed the way his team evaluates their a

Come check out our booth at Snowflake Summit 2026 ❄️ We Parse PDFs ❄️ Come meet the LlamaIndex Team at Snowflake Summit 2026. It might be chilly in Snow Park ☃️ but the AI infrastructure market is red

This post documents a developer successfully implementing Git functionality (cloning repositories, creating branches, and committing pull requests) in what appears to be an AI system or autonomous age

The future of design doesn’t interrupt your process. @NousResearch Hermes keeps designers in creative flow - Rhino → ComfyUI → @Blender in one seamless agent workflow. No context switching. Just visio

❄️ Come meet the LlamaIndex Team at Snowflake Summit 2026. It might be chilly in Snow Park ☃️ but the AI infrastructure market is red hot 🔥. Come visit our team at the expo floor and explore how you c