{"slug": "chatgpt-co-inventor-launches-a-super-fast-ai-model-for-agents", "title": "ChatGPT co-inventor launches a super-fast AI model for Agents", "summary": "Diogo Almeida, who helped develop ChatGPT and instruction-following research at OpenAI, launched Jev through his company TypeSafe, a System One AI model that does not generate text and instead returns typed probabilistic values for software decisions. TypeSafe claims Jev is 20–200x faster and 40–400x cheaper than text-generating models, with $0 output tokens and pricing built around input tokens, targeting routing, scoring, extraction, moderation, and workflow branching for agents. Separately, Google shipped Gemini 3.8 Live Extended Thinking, which speaks while it reasons and calls tools, and Salesforce in Claude entered beta with Salesforce records, pipeline actions, Slack deal context, and 37 sales skills on paid plans.", "body_md": "- [unwind ai](../)\n- Posts\n- ChatGPT co-inventor launches a super-fast AI model for Agents\n\n# ChatGPT co-inventor launches a super-fast AI model for Agents\n\n## + Gemini 3.8 Live model can think while it talks\n\n### **Start here ↓**\n\n### This AI Model Is 200x Faster and 400x Cheaper Because It Cannot Write\n\nDiogo Almeida, who helped develop ChatGPT and the instruction-following research behind it at OpenAI, spent the past two years building a different kind of AI model.\n\n**Jev** does not generate text. The team built what they call a System One model for software decisions. You send it messy program state. It returns a typed probabilistic value your app can use directly. \n\nThat tradeoff is the whole story. Jev gives up text generation, so it can make many typed decisions in parallel instead of producing one token stream. TypeSafe claims this makes it 20–200x faster, 40–400x cheaper, and lets them make output tokens free because outputs are structured decisions, not generated text.\n\nThis is not trying to replace your coding model. It is for routing, scoring, extraction, moderation, workflow branching, and all the boring decision calls agents make before the reasoning even starts.\n\nPricing is built around input tokens, with $0 output tokens and extremely low input pricing for high-volume decision workloads. If you need rich language generation, use a normal LLM. If you need millions of typed decisions, this is the fun bit.\n\n## 🚀 **Shipped**\n\n**Gemini 3.8 Live can see, think, talk, and code at the same time****.** Gemini 3.8 Live Extended Thinking fixes the silent-wait problem by speaking while it reasons, calls tools, and works through multi-step requests in the background. It can acknowledge you, keep the conversation moving, and still do the slower thinking. That makes voice agents feel less like turn-taking demos and more like real collaborators.\n\nTo test it out, I built a [**live insurance claim agent**](https://x.com/Saboo_Shubham_/status/2100102593456553993?utm_source=www.theunwindai.com&utm_medium=referral&utm_campaign=chatgpt-co-inventor-launches-a-super-fast-ai-model-for-agents) that can see, talk, think, and draw in real-time. Even switched my language to Hindi mid-call, and it still worked! VOICE AI can't be more real. The full app is open source and ready to run (here’s a screenshot attached) \n\n[GitHub](https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/voice_ai_agents/insurance_claim_live_agent_team?utm_source=www.theunwindai.com&utm_medium=referral&utm_campaign=chatgpt-co-inventor-launches-a-super-fast-ai-model-for-agents) (100% Open-source code) · [X post](https://x.com/Saboo_Shubham_/status/2100102593456553993?utm_source=www.theunwindai.com&utm_medium=referral&utm_campaign=chatgpt-co-inventor-launches-a-super-fast-ai-model-for-agents) (with demo) · [Official Blog](https://blog.google/innovation-and-ai/models-and-research/gemini-models/gemini-3-8-live-gemini-3-8-live-extended-thinking/?utm_source=www.theunwindai.com&utm_medium=referral&utm_campaign=chatgpt-co-inventor-launches-a-super-fast-ai-model-for-agents)\n\n**Claude can now run your entire Salesforce pipeline.** Salesforce in Claude puts CRM work where a lot of sales teams already want it: inside the assistant that can read, summarize, draft, and update. The beta brings Salesforce records, pipeline actions, Slack deal context, and 37 sales skills into Claude for paid plans. [Blog](https://claude.com/blog/salesforce-in-claude?utm_source=www.theunwindai.com&utm_medium=referral&utm_campaign=chatgpt-co-inventor-launches-a-super-fast-ai-model-for-agents) · [Thread](https://x.com/claudeai/status/2099876514330206578?utm_source=www.theunwindai.com&utm_medium=referral&utm_campaign=chatgpt-co-inventor-launches-a-super-fast-ai-model-for-agents)\n\n**Devin got its own Mac.** Devin Cloud can now run in macOS workspaces, which means Devin can compile native apps, launch them, inspect them, interact with iOS Simulator, and use accessibility trees to verify what happened on screen. Cognition built it on AWS EC2 Mac hosts, so this is not “the agent wrote code and hoped Xcode was fine.”[Blog](https://devin.ai/blog/devin-gets-a-mac?utm_source=www.theunwindai.com&utm_medium=referral&utm_campaign=chatgpt-co-inventor-launches-a-super-fast-ai-model-for-agents) · [Thread](https://x.com/cognition/status/2099887193804112190?utm_source=www.theunwindai.com&utm_medium=referral&utm_campaign=chatgpt-co-inventor-launches-a-super-fast-ai-model-for-agents)\n\n**Taste Labs launched a Brand API for AI design agents.** Their new API is much more specific than a generic “AI for taste” launch. It gives agents three brand primitives: extract existing brand context, search a curated brand index, and verify generated work against the brand before it ships. [Website](https://tastelabs.com/?utm_source=www.theunwindai.com&utm_medium=referral&utm_campaign=chatgpt-co-inventor-launches-a-super-fast-ai-model-for-agents) · [Thread](https://x.com/tastelabs/status/2099913773951893761?utm_source=www.theunwindai.com&utm_medium=referral&utm_campaign=chatgpt-co-inventor-launches-a-super-fast-ai-model-for-agents)\n\n**Talk to your local models. Your voice never leaves the laptop.** LM Studio Bionic 1.1.3 adds local realtime voice transcription, so your local agents can hear you without sending audio to a cloud API. It works today on Apple Silicon Macs and NVIDIA GPU PCs, with Linux supported and AMD still in progress. [Thread](https://x.com/lmstudio/status/2099885768697086258?utm_source=www.theunwindai.com&utm_medium=referral&utm_campaign=chatgpt-co-inventor-launches-a-super-fast-ai-model-for-agents)\n\n**ElevenLabs put 50+ creative models behind one MCP.** Speech, transcripts, dubs, music, sound effects, images, and video all sit behind the same MCP surface. If your workflow currently bounces between five creative tabs and a chat window, this removes a very real amount of copy-paste friction. The agent can call the media tool instead of asking you to become the glue.[MCP](https://elevenlabs.io/mcp?utm_source=www.theunwindai.com&utm_medium=referral&utm_campaign=chatgpt-co-inventor-launches-a-super-fast-ai-model-for-agents) · [Thread](https://x.com/ElevenLabs/status/2099547227223908568?utm_source=www.theunwindai.com&utm_medium=referral&utm_campaign=chatgpt-co-inventor-launches-a-super-fast-ai-model-for-agents)\n\n**Devin found a cheaper way to use expensive models.** Devin Fusion is an agentic harness that uses a frontier model as the lead, then hands cheaper execution work to a smaller model. The lead plans, reviews, and takes back control when needed, so it is not a one-shot router gambling on the right model at the start. [Blog](https://cognition.com/blog/local-fusion?utm_source=www.theunwindai.com&utm_medium=referral&utm_campaign=chatgpt-co-inventor-launches-a-super-fast-ai-model-for-agents) · [Thread](https://x.com/cognition/status/2098445562404024343?utm_source=www.theunwindai.com&utm_medium=referral&utm_campaign=chatgpt-co-inventor-launches-a-super-fast-ai-model-for-agents)\n\n## 🧠 **Worth Knowing**\n\n**1,393 agents took a million-line codebase apart.** Nous published a properly nerdy dogfood post on refactoring Hermes with 1,393 agents and about $19K in token spend. It is the best read as an operating manual for agent swarms: plan the work, shard it carefully, review every shard, reconcile conflicts, and expect weird breakage when hundreds of workers touch the same repo. [Post](https://nousresearch.com/refactoring-hermes-with-1393-agents?utm_source=www.theunwindai.com&utm_medium=referral&utm_campaign=chatgpt-co-inventor-launches-a-super-fast-ai-model-for-agents)\n\n**One env var to stop burning Fable 5.1 on subagents.** Lydia Hallie from Anthropic shared a tiny Claude Code cost tip that is very “iykyk.” Set `CLAUDE_CODE_SUBAGENT_MODEL=opus` so Claude Code’s subagents run on Opus instead of Fable 5.1. Fable likes spawning subagents, but those helpers rarely need Fable-level reasoning. Keep the expensive model focused on the main session instead of spending it on background work. [Thread](https://x.com/lydiahallie/status/2099195114115707210?utm_source=www.theunwindai.com&utm_medium=referral&utm_campaign=chatgpt-co-inventor-launches-a-super-fast-ai-model-for-agents)\n\n**Perplexity built its own Search Database.** Perplexity published CobbleDB, the key-value database it built to serve prepared web content for AI search. Replacing DynamoDB reportedly cut median batch-read latency from 31.4ms to 5.60ms and p99 from 123ms to 24.2ms. Perplexity also estimates at least 20% lower cost and plans to open-source CobbleDB after more production hardening. [Blog](https://www.perplexity.ai/hub/blog/cobbledb?utm_source=www.theunwindai.com&utm_medium=referral&utm_campaign=chatgpt-co-inventor-launches-a-super-fast-ai-model-for-agents) · [Thread](https://x.com/perplexity_ai/status/2099955628194316346?utm_source=www.theunwindai.com&utm_medium=referral&utm_campaign=chatgpt-co-inventor-launches-a-super-fast-ai-model-for-agents)\n\n**Interesting Codex pattern: Astra checks on its agents every 15 minutes.** Astra orchestrates threads, sends tasks to Sol and Luna, then a 15-minute heartbeat checks progress and course-corrects before the workers finish. That helps with refactors, video edits, 3D generation, and any task where discovering drift an hour later is too late. [Thread](https://x.com/reach_vb/status/2099630906772222068?utm_source=www.theunwindai.com&utm_medium=referral&utm_campaign=chatgpt-co-inventor-launches-a-super-fast-ai-model-for-agents)\n\n**GPT-5.5 leaves ChatGPT and Codex on October 14.** OpenAI is retiring GPT-5.5 across ChatGPT, ChatGPT Work, and Codex on October 14. Move the model choice into config, test GPT-5.6 Sol or GPT-6 Astra, and make sure scripts and CI jobs are not quietly depending on an ID that disappears next month.[Thread](https://x.com/ChatGPT/status/2099954190600876533?utm_source=www.theunwindai.com&utm_medium=referral&utm_campaign=chatgpt-co-inventor-launches-a-super-fast-ai-model-for-agents)\n\n## 🔧 **Clone and Run**\n\n**Clone & Run of the Day** **Awesome LLM Apps is the fastest way to go from idea to a running agent.** 100+ open-source AI agents, agent skills, and RAG apps. Hand-built, tested end-to-end. If today's feed gave you an idea, this is where the scaffolding for it already exists.[GitHub](https://github.com/Shubhamsaboo/awesome-llm-apps?utm_source=www.theunwindai.com&utm_medium=referral&utm_campaign=chatgpt-co-inventor-launches-a-super-fast-ai-model-for-agents)\n\n**Get rid of AI Slop by getting real** **readers feedback before you publish**. Simulates real readers going through your draft and reports where they lose interest, where they stop reading, and what they remember afterward, without rewriting a word.[GitHub](https://github.com/Shubhamsaboo/awesome-llm-apps/tree/main/agent_skills/first-reader?utm_source=www.theunwindai.com&utm_medium=referral&utm_campaign=chatgpt-co-inventor-launches-a-super-fast-ai-model-for-agents) · [Demo](https://x.com/Saboo_Shubham_/status/2098288972942528942?utm_source=www.theunwindai.com&utm_medium=referral&utm_campaign=chatgpt-co-inventor-launches-a-super-fast-ai-model-for-agents)\n\n**Cloudflare open-sourced the skill behind its vulnerability harness.** This security-audit skill turns a coding agent into a six-stage security team: map the architecture and attack surface, hunt by coverage gap, validate candidates with fresh agents, and independently verify the final record. [GitHub](https://github.com/cloudflare/security-audit-skill?utm_source=www.theunwindai.com&utm_medium=referral&utm_campaign=chatgpt-co-inventor-launches-a-super-fast-ai-model-for-agents)\n\n**Give your coding agent 832 websites to study before it designs.** Inspo has captured 2,320 desktop and mobile pages from 832 real websites, complete with palettes, fonts, tech stacks, fold-by-fold breakdowns, and a `DESIGN.md` for every site. It lets an agent find references, inspect design systems, and pull from 68 copy-pasteable JSX components before generating another generic landing page.[GitHub](https://github.com/Nutlope/inspo?utm_source=www.theunwindai.com&utm_medium=referral&utm_campaign=chatgpt-co-inventor-launches-a-super-fast-ai-model-for-agents)\n\n**A 16MB read-only IDE built for reviewing agent code.** px0 assumes the agent writes and the human verifies. One static Go binary gives you browser-based symbol navigation, LSP intelligence, and deep code search without another heavyweight editor. [Website](https://px0.ai/?utm_source=www.theunwindai.com&utm_medium=referral&utm_campaign=chatgpt-co-inventor-launches-a-super-fast-ai-model-for-agents)\n\n**Give your agent working access to X, Reddit, YouTube, and more.** Agent-Reach gives Claude Code, OpenClaw, Hermes, and other agents one CLI for reading and searching sites that routinely block automated fetches. It covers X, Reddit, YouTube, GitHub, Bilibili, and XiaoHongShu, keeping login, anti-scraping, and rate-limit handling in one place instead of rebuilding it inside every harness. [GitHub](https://github.com/Panniantong/Agent-Reach?utm_source=www.theunwindai.com&utm_medium=referral&utm_campaign=chatgpt-co-inventor-launches-a-super-fast-ai-model-for-agents)\n\n**Claude Meter puts your limit in the Menu bar.** It is a native Swift menu-bar pill for tracking Claude session and weekly limits. It shows five-hour and weekly usage percentages with live reset countdowns, then surfaces the per-model caps that can actually stop your work. Useful if you normally discover the limit when Claude cuts out halfway through a session.[GitHub](https://github.com/sanchitkd/claude-meter?utm_source=www.theunwindai.com&utm_medium=referral&utm_campaign=chatgpt-co-inventor-launches-a-super-fast-ai-model-for-agents)\n\n**livediff shows agent edits as they happen.** It streams every agent or editor change as a live Git diff in your terminal. Each edit appears once as it lands, with added and removed lines colored normally. There is also a compact mode for filenames and changed lines when full patches get noisy.[GitHub](https://github.com/stagas/livediff?utm_source=www.theunwindai.com&utm_medium=referral&utm_campaign=chatgpt-co-inventor-launches-a-super-fast-ai-model-for-agents)\n\n[Awesome LLM Apps](https://github.com/Shubhamsaboo/awesome-llm-apps?utm_source=www.theunwindai.com&utm_medium=referral&utm_campaign=chatgpt-co-inventor-launches-a-super-fast-ai-model-for-agents) **is a curated collection of 100+ AI Agents, Agent skills, and RAG apps.** It covers models from OpenAI, Anthropic, Google, and open-source models like GLM, DeepSeek, and Qwen that you can run locally on your computer. [(Now accepting GitHub sponsorships)](https://sponsorunwindai.com/?utm_source=www.theunwindai.com&utm_medium=referral&utm_campaign=chatgpt-co-inventor-launches-a-super-fast-ai-model-for-agents)\n\n## 📊 **By the Number**\n\n**Number of the Day****15 coding attempts for the price of one Astra run.** Fireworks released a report where DeepSeek-V4.1-Flash reached the same DeepSWE accuracy band as GPT-6 Astra for $0.43 per task, roughly 15x cheaper. The four models tested were within 0.7 pass@1 points, smaller than Fireworks’ reported run-to-run variation, so this is a cost story rather than a clean quality win.[Fireworks analysis](https://x.com/FireworksAI_HQ/status/2099940744861720581?utm_source=www.theunwindai.com&utm_medium=referral&utm_campaign=chatgpt-co-inventor-launches-a-super-fast-ai-model-for-agents)\n\n**RTX 5090 listings have reached $9,500.** First-party RTX 5090 inventory has nearly disappeared online in the US, leaving third-party listings between roughly $6,400 and $9,500. Micro Center still had in-store cards around $4,299, but online prices now put Nvidia’s consumer flagship beside professional GPUs. Its 32GB of GDDR7 has made the 5090 local AI infrastructure, and the market is pricing it accordingly.[Tom’s Hardware](https://www.tomshardware.com/pc-components/gpus/nvidias-rtx-5090-vanishes-from-online-retail-in-the-us-third-party-sellers-now-demand-as-much-as-usd9-500-for-nvidias-fastest-gpu?utm_source=www.theunwindai.com&utm_medium=referral&utm_campaign=chatgpt-co-inventor-launches-a-super-fast-ai-model-for-agents)\n\n**OpenAI doubled Codex for OSS to 10,000 grants.** OpenAI is expanding Codex for OSS from 5,000 to 10,000 maintainers, with selected applicants receiving six months of ChatGPT Pro plus potential API credits for review, triage, releases, and maintenance automation. The first six months also included $160,000 through GitHub Sponsors and $600,000 for the Rust Foundation. [Apply](https://openai.com/form/codex-for-oss/?utm_source=www.theunwindai.com&utm_medium=referral&utm_campaign=chatgpt-co-inventor-launches-a-super-fast-ai-model-for-agents)\n\nThat's all for today. Come back tomorrow for the next batch of AI tools, model drops, agent repos, and weird benchmarks worth your time.\n\nIf you found one thing to try, share the issue with someone who ships.\n\n### Some teams never seem to stop moving. They're on Attio, the agentic CRM.\n\nEvery customer signal is captured in one shared context layer, always current and compounding. Agents and workflows build pipeline, chase every buying signal, and move deals forward, an always-on revenue engine running alongside your team.\n\n With [Attio](https://attio.com/?utm_source=beehiiv&utm_medium=newsletter_sponsorship&utm_campaign=beehiiv-Y26&utm_content=JHL0VVEUDT&_bhiiv=opp_11621ce0-4fa9-4c49-9e58-07ec7e75dee0_7395cee5&bhcl_id=d2da3770-d3fa-4500-b86e-3207c3305587_SUBSCRIBER_ID_{{email_address_id}}), you’ll get: \n\n- Leads automatically prioritised and routed to the right rep\n- Expansion and risk signals caught the moment they land\n- Follow-ups written in your voice, already there when you arrive\n\n Teams like Parallel, Turbopuffer, and Wordsmith build on [Attio](https://attio.com/?utm_source=beehiiv&utm_medium=newsletter_sponsorship&utm_campaign=beehiiv-Y26&utm_content=JHL0VVEUDT&_bhiiv=opp_11621ce0-4fa9-4c49-9e58-07ec7e75dee0_7395cee5&bhcl_id=d2da3770-d3fa-4500-b86e-3207c3305587_SUBSCRIBER_ID_{{email_address_id}}). Are you one of them?", "url": "https://wpnews.pro/news/chatgpt-co-inventor-launches-a-super-fast-ai-model-for-agents", "canonical_source": "https://www.theunwindai.com/p/chatgpt-co-inventor-launches-a-super-fast-ai-model-for-agents", "published_at": "2026-09-16 12:30:00+00:00", "updated_at": "2026-09-16 13:11:46.669893+00:00", "lang": "en", "topics": ["ai-agents", "ai-products", "large-language-models", "ai-tools"], "entities": ["Diogo Almeida", "TypeSafe", "Jev", "OpenAI", "ChatGPT", "Gemini 3.8 Live Extended Thinking", "Google", "Claude"], "alternates": {"html": "https://wpnews.pro/news/chatgpt-co-inventor-launches-a-super-fast-ai-model-for-agents", "markdown": "https://wpnews.pro/news/chatgpt-co-inventor-launches-a-super-fast-ai-model-for-agents.md", "text": "https://wpnews.pro/news/chatgpt-co-inventor-launches-a-super-fast-ai-model-for-agents.txt", "jsonld": "https://wpnews.pro/news/chatgpt-co-inventor-launches-a-super-fast-ai-model-for-agents.jsonld"}}