Claude's new tools just killed Microsoft Office.
So we open-sourced our own versions to kill Claude's.
Whiteboard. Spreadsheet. Dashboard.
Free. Open source. Works with any model. Available now.
We wanted everyone to have their GBrain and GStack
So we built Personal Library
It grows from what you read, the conversations you have, and the work you do. Your knowledge, your judgment, your way of doing things—all becoming context your AI can build on.
Compounding everyday
When I need a break from my desk on the weekend, I go on a 2 hour walk and just work by voice noting @instinct
Incredible feeling walking along this coastline while smashing things off my to-do list
When I need a break from my desk on the weekend, I go on a 2 hour walk and just work by voice noting @instinct
Incredible feeling walking along this coastline while smashing things off my to-do list
Anthropic released their 2021 research roadmap earlier this year (because of copyright litigation); I think some people might find it interesting: https://t.co/CpilF8XguE
Jev is going to change the prosumer/consumer AI landscape by unlocking a specific thing:
Ad-supported + free AI native apps
this is going to usher in a generation of new AI-native marketplaces, social networks, photo apps, messaging, calendars, email, collab tools, and much more.
Why? Previously, if you wanted to have an AI-native app with multiple/fast LLM calls on every screen, the math just didn’t work - inference costs just couldn’t be paid back from throwing a few video ads or affiliate links. So there were really just two solutions:
1) be a massive company and subsidize AI costs
2) charge a subscription fee to cover inference
(or both)
So what happens when you take a different approach that’s looks to be, initially, >400x cheaper than a more general LLM? I think it means that app developers are going to make their apps smarter and different in interesting ways. It won’t be as generically powerful as LLMs, but instead folks will create highly differentiated point solutions. You may not have a generically powerful virtual admin to schedule all your meetings, but you may have a free/ad-powered assistant that can comb through your inbox, filter for only important emails, figure out important dates, prioritize contacts, and do other interesting 80/20 work. Same for generically powerful virtual companions, or app builders, etc - it may be that we can hybridize the LLM and future Jev-like models that adds “wow” features at 1/1000ths of the cost, to make the economics work.
If folks hear of interesting new apps/interactions/etc built on Jev, I’d love to hear it!
We're sharing our new framework for tracking, investigating, and disclosing instances of model misalignment at OpenAI.
The framework sets criteria and timelines for public disclosure, including when we haven’t yet fully explained or mitigated the behavior. More complex cases may require longer investigation or coordination with third parties.
We’ll prioritize examples that reveal new misalignment mechanisms, meaningful changes in known behavior, or findings that challenge assumptions about safety or mitigation.
Alongside the framework, we’re publishing six reports on instances of misaligned behavior we’ve observed during the training or evaluation of our models in the last six months.
This is a starting point. We’ll refine the process through experience and public feedback, and share more reports on an ongoing basis.
https://t.co/ismCCkeE0L
My first "holy shit" moment with GPT-6 Astra:
I asked it to create a world in Unreal Engine, and fill it with humans (each an Astra-powered agent) who all have to work together to survive.
A day later, I was in my bedroom and heard voices coming from the living room... I thought someone was in my apartment.
I walked out, honestly a little scared.
It was the Astra agents. They'd started talking to each other.
Fucking crazy.
Here's a brief clip (obviously not 100% perfect yet, but still, insane. sound on!):