HUMANX - HUMANX AI

.bh__table, .bh__table_header, .bh__table_cell { border: 1px solid #C0C0C0; } .bh__table_cell { padding: 5px; background-color: #FFFFFF; } .bh__table_cell p { color: #2D2D2D; font-family: 'Helvetica',Arial,sans-serif !important; overflow-wrap: break-word; } .bh__table_header { padding: 5px; background-color:#F1F1F1; } .bh__table_header p { color: #2A2A2A; font-family:'Trebuchet MS','Lucida Grande',Tahoma,sans-serif !important; overflow-wrap: break-word; } Read Online | Sign Up | AdvertiseGood morning, {{ first_name | AI enthusiasts }}, and welcome to our 4,056 new readers. Diogo Almeida helped build the methods that taught AI to talk to people — the research behind ChatGPT. His next model can't generate text at all… By design.
TypeSafe's Jev is a new type of AI system that lives inside software and makes judgment calls, doing the background decision-making work that chatbots aren’t always the right tool for — at a wild speed and price point.NEW: Our Community AI Workflow Hub now takes questions. Stuck on a prompt, a tool, or a workflow that won't cooperate? Ask the community and get answers from people who've already figured it out.In today’s AI rundown:

• ChatGPT co-creator launches a new kind of AI
• Salesforce trains its own reasoning model
• OpenRouter 101: Add models to Codex, Claude Code
• Chinese researchers detail 'the last AI built by humans'

LATEST DEVELOPMENTSTYPESAFE ChatGPT co-creator launches new kind of AI modelImage source: TypeSafeThe Rundown: Ex-OpenAI researcher Diogo Almeida’s TypeSafe just emerged from stealth with Jev, a new kind of AI that answers preset questions inside software with confidence scores attached, claiming zero hallucinations and extreme speed and price.The details:

• Jev runs at $42 for a billion input tokens, and output is free (!), a rate TypeSafe estimates at 238x below Claude Fable 5.1's pricing.
• Responses also output in just 70 to 500 milliseconds, between 40-200x faster than today’s LLMs.
• TypeSafe says Jev “can’t hallucinate,” because it only chooses between options set in advance, calling the system a “frontier-intelligence function call.”
• TypeSafe’s Jev use cases include quick judgment calls inside apps, like sorting requests, scoring records, or screening another AI's outputs for jailbreaks.

Why it matters: This isn't a system to stack up against LLMs, with Almeida calling it "more like a database than a coworker." That's where the nod to Jevons paradox (the cheaper something gets, the more it gets used) comes in — if Jev really is this fast and cheap while staying reliable, it is likely to become a standard part inside software.TOGETHER WITH YOU.COM Why "bolt-on" search breaks in productionThe Rundown: Search results go stale, so teams bolt on an API, add a scraper, wire up a parser, and hope it holds. Yeah, it works in the demo, but then it breaks under production load six months later. This guide from You.com explains why treating research as simple retrieval is the wrong frame, and what a purpose-built stack looks like instead.What you'll learn:

• Why general-purpose search hits 93% SimpleQA accuracy but still fails high-stakes workflows
• The difference between an API that returns results and one that answers questions
• How teams reclaim 6–12 months of time with a single endpoint
• What finance, legal, and compliance workflows need beyond web search

Stop treating research as retrieval. Download the guide.SALESEFORCE Salesforce trains its own reasoning modelImage source: SalesforceThe Rundown: Salesforce just introduced Koa, a new in-house reasoning model for its sales and support agents built on Nvidia’s open Nemotron 3 Super model and adapted for business tasks. The details:

• The training set is fully synthetic, simulating personas like irate support callers and reps closing deals across over a dozen industries, without using customer data.
• Koa made 3x fewer errors than top models on an internal CRM benchmark, matching or beating them on tasks like updating deals or routing tickets.
• The company hosts Koa itself, keeping customer requests inside its systems instead of sending them to an outside model provider.
• Salesforce also launched AIforce, which pushes CRM data and permissions into outside AI tools, and opened its ClaudeForce version to every customer as a beta.

Why it matters: Salesforce is in a unique spot with the AI labs, acting as customer, distribution partner, and now competitor all at once. Koa now keeps the high-volume agent reasoning in-house on a model tuned to its own workflows, while options like Claudeforce stay as ways to help the frontier labs reach their customers. AI TRAINING OpenRouter 101: Add models to Codex, Claude CodeThe Rundown: In this guide, you will learn how to give your AI agent more models to work with using OpenRouter. We'll set up an API key, compare models, and test cheaper options for making ad mockups.Step-by-step:

• Sign in to OpenRouter and browse the model catalog. Filter for your task, then sort by low to high price. Open a model page to check its capabilities and cost
• Open API Keys, choose New key, and name it after the project or agent you'll use it with. Set a spending limit and an expiration date before creating it
• Ask your agent to help you set up OpenRouter. Store the key privately using its setup instructions, then give it the model name and a small task. We asked our bot to make more hat ad mockups with a cheaper image model
• Compare the results and check usage in OpenRouter. Our mockups were useful for direction, but they didn't match the real hat or the GPT Image 2.5 version

Pro tip: Tell your agent to create a skill to use OpenRouter to make cheap, bulk variations for you when you're brainstorming. We will go over this in part 2!PRESENTED BY STACK AI How CIOs run AI transformationThe Rundown: AI transformation fails when you DIY. StackAI gives you one platform to build, deploy, and scale, backed by a team of dedicated AI experts who know what works. IT retains 100% control over access, tokens, and usage.Why enterprises choose StackAI:

• No-code platform for rapid building and deployment
• 300+ native integrations, no LLM lock-in
• Global governance and advanced analytics

Discover your path to enterprise-wide AI adoption.AI RESEARCH Chinese researchers detail 'the last AI built by humans'Image source: arXivThe Rundown: 30+ Chinese AI researchers, including those from ByteDance, Tsinghua, and Shanghai AI Lab, published “The Last AI Built by Humans,” a roadmap detailing five levels of recursive self-improvement, ending with AI that builds its successors.The details:

• Level 1 has the AI carrying out upgrades humans designed, while Level 2 lets it diagnose its own weak spots and decide how to fix them.
• Levels 3 and 4 hand over what the model learns next and how it adapts after launch, and Level 5 lets it completely overhaul the improvement process itself.
• The authors say coding has the clearest path to RSI, since fixes can be tested instantly, while robotics, science, and medicine face slower, costly feedback.
• The researchers also sorted 491 existing papers onto the ladder, with 75% landing at Level 1 or 2, and under 6% making it to Level 5.

Why it matters: Level 5 is the stage many of the Western AI labs have been warning about, with OpenAI, Anthropic, and Google all listing AI automating its own R&D as a risk in their safety frameworks. But China doesn't seem as worried about RSI (or, as we saw yesterday, a slowdown in general), treating it as a milestone rather than a threat.QUICK HITSCOMMUNITY AI WORKFLOW OF THE DAY▸ A Rundown reader built an emergency vet coordinator with ChatGPTToday’s workflow comes from an anonymous Rundown reader:“I used ChatGPT as an emergency care coordinator for my dog, Mopsy. My 10-year-old dog developed a dental abscess that caused severe swelling around her eye. An ophthalmologist told us that the pressure was damaging her eye and had partially torn her retina, so treating the infected tooth quickly became urgent.I started calling vet offices myself, but I repeatedly hit the same obstacles: emergency hospitals did not perform dental surgery, specialty dentists were booked, and most primary-care vets required a consultation, bloodwork, and a separate surgical appointment. After over a dozen calls, I was overwhelmed and asked ChatGPT to help.ChatGPT researched vet practices within an hour's drive and sent urgent, individualized emails from my Gmail. We ultimately contacted 20+ practices. At the same time, it created a live outreach tracker containing every clinic we had contacted. In half an hour, one vet responded that they could evaluate Mopsy the next morning, run her bloodwork on-site, and take her straight back for surgery if she was cleared.”See the full workflow here. How do you use AI? Tell us for a chance to be featured. Trending AI Tools

•  Koa - Salesforce’s CRM reasoning model built for enterprise work
• Gemini 3.8 Live - Google's new voice models that think while they talk
• StepAudio 3 - Five-model audio suite for voice agents, transcription, music
• Jev - TypeSafe's early-access AI for software

 Everything else in AI todayNEW: Ask the Community - Workflows are great when they work. When they don't, you can now ask a question in the Hub and get help from readers who've been there, plus The Rundown team. Post your question, or jump in and answer someone else's.Google debuted Gemini 3.8 Live, voice models that can continue speaking while they think, with the Extended Thinking variant topping AA's speech-to-speech quality ranking.Odyssey introduced Odyssey 3, a world model that can control robot arms, humanoids, self-driving cars, drones, and games, set to release in the coming weeks.A 404 Media report detailed OpenAI’s ‘Project Lily’, finding that hundreds of human contractors read and rate real ChatGPT chats, often without the user’s knowledge. Meta rolled out Meta One, a new paid tier across its apps running from $2.99 to $499 a month for extra Meta AI usage and creator tools. Highlights: News, Guides & Events

• Read our last AI newsletter: Trump, China both shoot down the AI slowdown
• Read our last Tech newsletter: U.S. confirms weapons are in orbit
• Read our last Robotics newsletter: Japan’s latest answer to home robots
• Today’s AI tool guide: OpenRouter 101: Add models to Codex, Claude Code
• RSVP to next workshop on Sept. 30: Turn Cowork into your chief of staff

See you soon,Rowan, Zach, Shubham, Jennifer, and Nate — the humans behind The Rundown

Source: https://therundownai.beehiiv.com/p/chat ... kind-of-ai