A shared brain for your AI agents. AllBase unifies memory across ChatGPT, Claude, OpenClaw, Codex, and internal agents so your workflows run with context.
Pittsburgh, PA
Joined July 2024
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I love when a plan comes together.
Brainstorming across Claude and ChatGPT while using allbase.ai as shared memory. 😍
Now that frontier models are getting expensive, we're going to see a lot more projects like Jev.
Small models dialed in to complete more specific tasks.
New ways to squeeze more out of AI at lower cost.
Jevons paradox. AI will be everywhere.
After co-inventing ChatGPT, I kept asking myself: why have superhuman chat models not led to AGI?
I’ve spent the last 2 years in stealth building a new way to train models (RLCD), and a new type of frontier AI model that we are releasing today: Jev
• 20-200x faster
• 40-400x cheaper (w/ output tokens free)
• Frontier composable intelligence optimized for decisions
AFAICT the shortest path to AI-based economic revolution
allbase isn't just a "second brain". It's the bridge that connects all of your agents.
Use your agents like you normally do. Allbase makes sure they stay in sync on your projects and notes.
You can even share projects with other users and team members.
allbase.ai retweeted
GPT-5.6 is now generally available on Bedrock:
GPT-5.6 Sol, Terra, and Luna from @OpenAI are now generally available on Amazon Bedrock. Three tiers of intelligence, from flagship reasoning to fast inference, running on Bedrock's next-generation inference engine built for high-performance, security, scale, and reliability. go.aws/4wkhHNX
allbase.ai retweeted
When will everyone realize the AI labs are running on the gym membership model?
Everyone thinks they're "subsidizing" your usage, but in reality they're just aggregate users. Plenty of users don't make full use of their limits. They already built the infrastructure. It doesn't cost them much to give you a little more interference.
They make their money on the many users who intend to use AI but don't.
allbase.ai retweeted
Today, we're launching 4 official partner skills on Browse.sh to improve agent capabilities:
- Get an inbox with @agentmail
- Make any payment with the @link CLI
- Deep research people & companies with @ExaAILabs
- Analyze product insights with @Amplitude_HQ
allbase.ai retweeted
Share plugins in Codex across teams.
Teams can now distribute custom plugins, reuse internal tools, and manage what’s available across their workspace.
Available now to Business users. Enterprises can reach out to enable early access.
It's clear that subscriptions will be going away in favor of usage based pricing across the board.
Anthropic can't keep up with the demand. They need to start making a profit to continue operating.
allbase.ai retweeted
Today we are introducing GPT-5.4-Cyber and expanding our Trusted Access for Cyber (TAC) program.
openai.com/index/scaling-tru…
allbase.ai retweeted
Named mine @allbase_ai
If you're listening, I'm open to purchase and acquihire opportunities.
@Firebase
@browserbase
@baseapp
Super easy to set up Claude with allbase. Store and retrieve memories across Claude Web and Claude code, and all of your AI agents.
allbase.ai/blog/how-to-use-a…
allbase.ai retweeted
Use @allbase_ai to remember the conversation and sync it across sessions automatically. Even works across chatgpt and Claude.
Allbase can officially share memory and knowledge, instantly across ChatGPT, Claude, and any other AI agent.
Get it now at allbase.ai
OpenAI released the OpenAI Library. How is that the same as Allbase and how is it different?
allbase.ai/blog/openai-libra…
allbase.ai retweeted
We just built AWS Lambda with a browser built-in.
Introducing Functions, a new compute paradigm that co-locates your code and browsers to build faster browser agents.
Functions lets your team focus on the product, while we handle the infrastructure.
allbase.ai retweeted
The race for LLM "cognitive core" - a few billion param model that maximally sacrifices encyclopedic knowledge for capability. It lives always-on and by default on every computer as the kernel of LLM personal computing.
Its features are slowly crystalizing:
- Natively multimodal text/vision/audio at both input and output.
- Matryoshka-style architecture allowing a dial of capability up and down at test time.
- Reasoning, also with a dial. (system 2)
- Aggressively tool-using.
- On-device finetuning LoRA slots for test-time training, personalization and customization.
- Delegates and double checks just the right parts with the oracles in the cloud if internet is available.
It doesn't know that William the Conqueror's reign ended in September 9 1087, but it vaguely recognizes the name and can look up the date. It can't recite the SHA-256 of empty string as e3b0c442..., but it can calculate it quickly should you really want it.
What LLM personal computing lacks in broad world knowledge and top tier problem-solving capability it will make up in super low interaction latency (especially as multimodal matures), direct / private access to data and state, offline continuity, sovereignty ("not your weights not your brain"). i.e. many of the same reasons we like, use and buy personal computers instead of having thin clients access a cloud via remote desktop or so.
I’m so excited to announce Gemma 3n is here! 🎉
🔊Multimodal (text/audio/image/video) understanding
🤯Runs with as little as 2GB of RAM
🏆First model under 10B with @lmarena_ai score of 1300+
Available now on @huggingface, @kaggle, llama.cpp, ai.dev, and more
