The company announced new cost cuts for its GPT-5.6 family of systems that brings powerful intelligence down to bargain prices, due in part to its own Sol model writing the code behind the efficiency gains. In today’s AI rundown:
- OpenAI resets the cost curve with GPT 5.6 price drops
- Rowan’s Corner: My AI workflow for back-to-back meetings
- Turn any idea into an AI-powered site with Lovable
- Friend’s AI pendant sequel gets a voice
- 4 new AI tools, community workflows, and more
Image source: OpenAIThe Rundown: OpenAI just announced new price cuts to its GPT-5.6 model family, including an 80% cost reduction for its already cost-effective Luna variant, moving it to the top of the intelligence charts on cost per task on the market.The details: - OAI published research on its Sol model rewriting its own GPU code to make the 5.6 models 15% more efficient, while also cutting serving costs by 20%.
- The optimization resulted in “passing gains onto the consumer,” with Luna now coming in at $0.20/$1.20 per million tokens for Luna and $2/$12 for Terra.
- Sol’s rates stayed the same, but OAI’s new Fast mode brings 2.5x speeds for the model in the API at double the price.
- Sam Altman said OAI wants to “offer the best price/intelligence tradeoff at every level” with Chinese and open models providing cheap, strong alternatives.
The Rundown: Unwrap pulls feedback across surveys, reviews, support tickets, social comments, etc. into one view, then uses AI to surface the most actionable insights and deliver them to the right team in real time. Teams at a leading frontier lab, Perplexity, Stripe, DoorDash, and Clay rely on Unwrap to power their customer intelligence.With Unwrap, you get:- All customer feedback automatically categorized
- Query feedback using Unwrap Assistant, in Slack, or in your favorite tools using Unwrap’s MCP
- Real-time alerts from feedback as they arise to the right team so you can catch embers before they become fires
- A clear view of customer sentiment
Image source: EO interview with RowanRowan: For the last few weeks, I’ve been exploring New York, and I’m having a blast. Back-to-back meetings across different offices, walking between buildings, and meeting new people all day. It all just hits different than Zoom.I’ve been using a simple AI workflow to help me remember and action the best ideas so they don’t get lost between those meetings, and it was so useful to me, I thought I’d share for you to steal.Here’s what I do (I briefly teased a similar variant of this workflow in my EO interview a few months back):- Walking between meetings, I open Wispr Flow on my phone and ramble every idea and takeaway into an Apple Note, completely unstructured. The only goal is getting it out of my head before the next meeting overwrites it.
- Those notes sync to my Mac automatically, where a scheduled Claude task (using the Claude Desktop app, synced via simple connectors) runs at the end of the day. It reads every voice note I dump automatically.
- Claude structures that mess inside my Notion as to-do tasks (where I do most of my work): key ideas, action items, and suggested deep work blocks in my calendar for the big ones.
The Rundown: In this guide, you will learn how to turn a rough app idea into a working AI-powered site without writing a giant technical prompt. Step-by-step:- Open ChatGPT, attach the recipe-card screenshot, and describe the app in plain English. Let it ask a few useful questions, but keep the first version focused on one journey: paste, convert, review, and save.
- Ask ChatGPT: “Turn our conversation into concise feature requirements and a brand brief for Lovable, including colors, feel, and typography.” Remove any extra features before copying the handoff.
- Create a Lovable project, attach the same screenshot, and paste the handoff specs.
- In Connectors → Cloud AI, enable Lovable’s built-in AI. Now you can test and refine your app!
The Rundown: Join Fiddler AI’s live chat with IBM’s Maryam Ashoori to learn how enterprises can handle shadow AI, third-party risk, and the unwritten AI rules of 2026.In this webinar, you’ll explore:- Why shadow AI keeps agents hidden
- How to mitigate third-party AI Agent risks
- A path to accountability for unpredictable agents
Image source: FriendThe Rundown: Avi Schiffmann’s Friend just introduced a new model of its AI companion pendant, replacing the previous version’s text-only replies with speech capabilities, and each device comes with its own name, voice, and personality at setup.The details: - V2 comes in at $249 (over double the cost of V1) with a $9.99/mo subscription to unlock permanent memory greater than 30 days.
- The pendant’s voice and personality are randomly assigned and locked from the start, with a pledge that no update will ever be “intended to erase its identity.”
- Beyond speech, the pendant also supports private text replies, light and touch cues, USB-C charging, and claims a full day between charges.
- The previous V1 of Friend faced intense backlash after a viral subway campaign in New York that resulted in protests and vandalism.
GPT-5.6 Luna & Terra - OpenAI’s cost-effective, capable models, with new price reductions
Inkling-Small - Thinking Machines’ compact open model that rivals the full-size version
Replit Design - Replit’s new creative suite for bringing ideas to life
Hint - Martha Stewart’s AI home app for maintenance, repairs, and fair quotes
Former OAI researcher Leopold Aschenbrenner’s Situational Awareness Fund reportedly sold off its public holdings to rival hedge fund Citadel, coming after its leveraged AI positions saw steep declines in the past months.Google DeepMind introduced Gemini Robotics ER 2, an "embodied reasoning" model that acts as a planning brain for robots, letting multiple machines coordinate on tasks in shared spaces.Thinking Machines Lab released Inkling-Small, an open-weights model with just 12B active parameters that matches the full-size version and beats it outright on reasoning and agentic coding tests.AI market research startup Simile raised $200M at a $2B valuation, letting companies survey "agentic twins" of real consumers for synthetic data insights. Martha Stewart co-founded Hint, an AI home-management app that builds a profile of a user’s house from just an address to track maintenance, judge contractor quotes, and help simplify homeownership. COMMUNITY
- Read our last AI newsletter: OpenAI’s escaped AI claims another victim
- Read our last Tech newsletter: Meta glasses enter their creep era
- Read our last Robotics newsletter: U.S. bans humanoids from China
- Today’s AI tool guide: Turn any idea into an AI-powered site with Lovable
- RSVP to next workshop on Aug. 5: No-code product building
Source: https://www.therundown.ai/p/openai-s-mo ... -own-costs