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OpenAI just killed plugins.
The company's betting everything on AI agents that work without interfaces no buttons, no menus, just pure autonomy.
Greg Brockman admits the plugin strategy flopped because the models weren't smart enough back in 2023.
But wait, there's more:
A $8,000 robot that actually does your laundry just hit the market
Mistral dropped an open-source model that can verify code and prove mathematical theorems
I'm Alex. Welcome to L8R by Innov8.
Let's dive deep 🐰
In today's post:
OpenAI kills plugins, bets everything on autonomous agents
Weave Robotics ships $8,000 home robot that folds your laundry
Mistral drops open-source model that proves code is mathematically correct
OpenAI Wants to Delete the App Interface
Clicking buttons and struggling with new software is about to be history.
OpenAI is building a future where AI agents do everything for you without needing a screen.
They are ditching their old plugin ideas to create invisible AI that controls your computer directly.
The details:
President Greg Brockman admits their 2023 plugin strategy failed because the AI models were too weak.
Old models handled a few thousand words, but current models process up to 52 million tokens to read entire file systems.
OpenAI combined ChatGPT, the Codex coding agent, and their API team into one massive group to build this new platform.
Codex is leading the charge with over 5 million weekly active users right now.
Why it matters:
Software companies are facing a massive threat.
If an AI agent does all the work, you never need to look at a company's website or app.
OpenAI wants to own the only interface you ever use.
This turns every other piece of software into a hidden tool that just takes orders from OpenAI.
💡 L8R's Take:
I love the idea of never learning another clunky dashboard.
But letting OpenAI hold the keys to everything we do online is a dangerous game.
They are building a total monopoly on how we interact with machines, and developers need to wake up.
From Our Partner
Hampton took $440K in planned hires off the calendar
Hampton co-founder Joe Speiser had three roles budgeted: a data engineer, an ops manager, a PM. $440K. He installed Viktor on April 12. Forty-four days later, none are on the calendar, and 18 of his team work with Viktor daily. His VP: we are editors now, not creators.
Isaac 1 Will Fold Your Laundry for $8,000
Weave Robotics just dropped a new robot that wants to do your chores.
Isaac 1 rolls around your house, folds laundry, and makes beds.
It is a big bet that we do not need expensive, human-like robots to clean our rooms.
The details:
Isaac 1 costs $7,999 to buy upfront or $449 per month to rent.
The robot uses wheels and claw-like grippers instead of legs and human hands.
It extends from 3 feet to nearly 6 feet tall to reach different spots in your house.
You can use it to pick up scattered toys, fold fresh clothes, and fluff your pillows.
It runs on its own through a phone app, but remote human workers can take over if the robot gets stuck.
Why it matters:
Most companies are building robots with two legs that cost over $20,000.
Robotics is taking a cheaper, simpler path with wheels.
They made a machine that actually ships to real homes in California this fall.
It proves that robots do not need to look like us to be useful.
💡 L8R's Take:
A robot does not need toes to fold a t-shirt.
Selling a specific tool for $8,000 is way smarter than waiting ten years for a perfect human clone..
From Our Partners
How AI-Era Pricing Is Reshaping Finance Operations
Usage-based and hybrid pricing models are changing how B2B companies generate revenue — and creating new headaches for the finance teams behind them.
Tabs co-founder Rebecca Schwartz and PwC Partner Amit Dhir sat down to unpack exactly what that means in practice: how pricing model decisions ripple into revenue recognition, forecasting, and financial ops — and what it takes to scale without piling on manual work.
Watch the on-demand recording to get practical frameworks, real-world examples, and a clear path to operationalizing usage-based revenue — including a forward-looking take on how AI will reshape financial workflows. If your team is navigating pricing complexity heading into the back half of the year, this is worth an hour.
Mistral Drops Leanstral 1.5 to Kill Code Bugs
Finding sneaky bugs in complex code just got a lot cheaper.
Mistral AI just dropped Leanstral 1.5, a massive open-source model built to prove your code actually works.
It acts like an autonomous agent that hunts down errors standard tests miss.
The details:
Leanstral 1.5 is a Mixture-of-Experts model with 119 billion total parameters, but it only uses 6.5 billion per token to stay fast.
It is specially trained for the Lean 4 programming language to do formal math proofs and code verification.
The model crushed benchmarks, hitting a perfect 100% score on the miniF2F test.
It already found five unknown bugs in real-world open-source projects, including a memory issue in a Rust library.
You can download the weights for free right now under an Apache 2.0 license.
Why it matters:
Formal code verification is usually locked behind expensive, specialized tools.
Mistral is changing the game by making this high-level math and logic available to everyone.
Developers can now use a free AI agent to navigate their files, run compiler checks, and prove their software is safe.
This means fewer crashes and better security for all of us.
💡 L8R's Take:
Mistral keeps proving that open-source AI can punch way above its weight class.
Giving developers a free tool to mathematically prove their code works is a massive win.
I expect every serious coding team to start running this in their workflows by next week.
🚀 Quick L8R Summary
OpenAI's new direction: OpenAI is ditching plugins and betting everything on autonomous agents that work without interfaces.
Isaac 1 home robot: Weave Robotics launched an $8,000 wheeled robot that folds your laundry and makes your bed.
Leanstral 1.5: Mistral dropped an open-source AI that writes and verifies mathematically correct code in Lean 4.
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