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BasedAI
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BasedAI
@BasedAI_co
Accelerating Open Source AI @GetHirebased Puts An AI Workforce Inside Every Business
United States Katılım Nisan 2026
6 Takip Edilen1.2K Takipçiler
The @linuxfoundation is launching open standards for AI token usage and billing — the meter itself, going open.
First the models. Now the measurement.
You can't govern AI spend you can only measure on a vendor's terms.
linuxfoundation.org/press/linux-fo…
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Yesterday was demo day at UK AI Agent Hack EP.5, Imperial College London. A week of builders solving enterprise memory governance on open weights.
Open source AI only wins if the people building on it can ship. So we put real product and real interviews in their hands, not just a prize.
To everyone who built this week, thank you. You are exactly who we want on this team.
We’re hiring.
Imperial Blockchain & Fintech@iclblockchain
Join us at Imperial College London for a full-day Opening Ceremony featuring an incredible lineup of AI leaders, founders, and builders, including: Sana Wajid — CDO at @Fetch_ai, SVP at @fetch_ai_IL Kwadwo Benko — AI Transformation Change Lead at @Microsoft Thomas Borrel — Inference & Engineering at @BasedAI_co Etienne Leroy — Director at @opentensor/@bittensor Peter Carroll — Founder of @CoralOS_ai Laura — @OpenAI Henry Thompson — Co-Founder & CTO of @ConductAI @EMostaque — Former CEO of Stability AI, founder @ii_posts @CharlieMuirhead — Founder of CogX @CogX_Festival Harry Uglow — DEX Co-Founder, a16z Scout Paul Müller — EWOR Partner, Adjust Co-Founder Albert Phelps — tomoro.ai Hazel Hu — Team Lead at @GCCofCommons Bart Zuber — Building AI at Vega Romain Billot — Core Contributor at Kaspa We’ll have keynotes, panels, sponsor sessions, builder guidance, and a full agenda designed to help hackers get ready for the week ahead. Hackers will also receive 1 month of Codex to support their builds during the hackathon. And to close the day, we’ll host the @cantor8 Dinner & Co-working session — a nice meal, founder networking, and a £7,500 cash prize pool. The first 150 participants will each walk away with at least £50 cash prize. Date: 28/06/2026 Venue: CAGB 200, Imperial College London Sign up and view the full agenda here: aiagentslab.uk/hackathon/ep5
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And caching beats everything. Their cache-hit rate went 5% to 60% once requests were cache-aware. None of this is “use the cheapest model.” It’s “build the layer that routes.” Open weights make it economic; routing makes it disciplined. That layer is what we build at BasedAI — BasedAPIs for the engineers who want to call it, @GetHirebased for the teams who just want the work done.
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BasedAI retweetledi
Palantir CEO Alex Karp is unapologetically based.
But let’s be clear, this is also a strategic land grab. Palantir is positioning to capture ground currently held by OpenAI and Anthropic.
If they succeed in delivering open-weight models to governments globally, it only strengthens the inevitability of what we’re building for enterprises at @BasedAI_co.
Jawwwn@jawwwn_
Palantir CEO Alex Karp says enterprises want to "own the means of production" instead of "transferring their alpha" to OpenAI or Anthropic: "Why are [LLMs] charging for tokens if it's so valuable?" "If it was so valuable—let's say I can make you a billion dollars tomorrow. Wouldn't I say, 'I'll make you a billion dollars, and I want 30%?'" "Look at our financials. The reason why everyone is chillaxing with bad financials and growth while losing money, is the client refuses to pay the true cost." "The two places that actually make money—profit, free cash flow—are our application layer called ontology, and compute." "We can get the frontier application to be exactly the same as a frontier model without the risk of transferring the alpha of your business to another." Via @CNBC
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Another BasedAI workshop today at UK AI Agent Hack EP.5 @iclblockchain. Our engineers on the floor with the teams building permission-aware memory on open weights.
The hackathon runs through July 4. If you're at Imperial, come find us.
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Sonnet 5 goes straight into the garbage bin
> 1.2x more expensive than Opus 4.8 Max
> 2x more expensive than GPT-5.5-xhigh
> 5x more expensive than GLM-5.2
> 7x more expensive than Kimi-K2.6
> 57x more expensive than DeepSeek-V4-Pro
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When a public company’s CEO publishes the playbook instead of guarding it, the playbook has stopped being an edge and started being table stakes.
@TeanaTaylor on what it signals that the Coinbase cost-discipline memo is built entirely on open weights and per-task routing — and why the routing layer, not the model, is the thing to own.
Teana Baker-Taylor@TeanaTaylor
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Coinbase cut its AI spend nearly in half while usage kept climbing — not by capping engineers, but by changing the infrastructure underneath.
Default to open weights. Route each task to the right model. Cache hard.
Routing, not rationing. The discipline is the moat now.
Brian Armstrong@brian_armstrong
How to keep AI spend flat while token usage grows exponentially: Not with friction and spend alerts. With better defaults, routing, and caching. Better Defaults (not Usage Caps) – Engineers can choose any model they want, but defaults matter. We’re experimenting with defaulting to open weight models like GLM 5.2 and Kimi 2.7 through our LLM gateway, while still encouraging engineers to choose the right model for the task. 91% of our employees were never hitting their usage caps, so instead of lowering caps and driving up alerts, we're moving to cheaper defaults. Note that code reviews use a diversity of models, so they can check each other's work. Better Routing – In our custom harnesses, we preprocess prompts and route to the best model for the job, considering cache hits and model pricing. For instance, you may want a frontier model for planning, but not for execution where they can be overkill. Ultimately, humans shouldn't be choosing models - AI can automate this task. Better Caching – Cache misses are the easiest way to drive your cost up. All of our requests are cache aware, so we’re reusing a warm cache wherever possible. For example, our cache hit rate went from 5% → 60% in LibreChat once properly implemented. Keep Context Lean – Start fresh sessions when switching tasks. Scope file context narrowly. Disconnect unused tools. Don't just compact. The goal isn't fewer tokens used, it's fewer tokens wasted. Better Visibility – Our engineers can use as many tokens as they want, from whatever model they want, but we’ve made usage visible – and the more you spend on AI, the more impact we expect. The goal isn't to suppress usage. It's to build the infrastructure that makes exponential growth sustainable. Putting this into practice has cut our AI spend nearly in half, while our token usage continues to grow.
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Own Your Own Intelligence
Yesterday @thomas_borrel introduced BasedAI in his keynote opening UK AI Agent Hack EP.5 @iclblockchain. Open source AI, turned into products and APIs you control.
Builders — our track is live 🏗️👇
dorahacks.io/hackathon/2272…
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BasedAI retweetledi
We’re delighted to welcome Thomas Borrel from @BasedAI_co for Keynote 6: BasedAI at UK AI Agent Hackathon EP5.
Thomas works across Inference & Engineering at BasedAI, bringing deep technical insight into how AI infrastructure, inference systems, and decentralised intelligence can support the next generation of AI applications. As builders move from demos to real products, scalable and efficient inference will become one of the most important layers of the AI stack.
In this keynote, Thomas will share perspectives on BasedAI, the future of AI infrastructure, and what developers should understand when building powerful AI agents and applications.
Time: 14:30 – 15:00
Venue: CAGB 200, Imperial College London
Date: 28/06/2026
Don’t forget to sign up and view the full agenda here:
aiagentslab.uk/hackathon/ep5
English
How to keep AI spend flat while token usage grows exponentially: Not with friction and spend alerts. With better defaults, routing, and caching.
Better Defaults (not Usage Caps) – Engineers can choose any model they want, but defaults matter. We’re experimenting with defaulting to open weight models like GLM 5.2 and Kimi 2.7 through our LLM gateway, while still encouraging engineers to choose the right model for the task. 91% of our employees were never hitting their usage caps, so instead of lowering caps and driving up alerts, we're moving to cheaper defaults. Note that code reviews use a diversity of models, so they can check each other's work.
Better Routing – In our custom harnesses, we preprocess prompts and route to the best model for the job, considering cache hits and model pricing. For instance, you may want a frontier model for planning, but not for execution where they can be overkill. Ultimately, humans shouldn't be choosing models - AI can automate this task.
Better Caching – Cache misses are the easiest way to drive your cost up. All of our requests are cache aware, so we’re reusing a warm cache wherever possible. For example, our cache hit rate went from 5% → 60% in LibreChat once properly implemented.
Keep Context Lean – Start fresh sessions when switching tasks. Scope file context narrowly. Disconnect unused tools. Don't just compact. The goal isn't fewer tokens used, it's fewer tokens wasted.
Better Visibility – Our engineers can use as many tokens as they want, from whatever model they want, but we’ve made usage visible – and the more you spend on AI, the more impact we expect.
The goal isn't to suppress usage. It's to build the infrastructure that makes exponential growth sustainable.
Putting this into practice has cut our AI spend nearly in half, while our token usage continues to grow.
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BasedAI retweetledi
If you an Agent builder in London.
Come out & build something BASED.
x.com/iclblockchain/…
Imperial Blockchain & Fintech@iclblockchain
BasedAI 🤝 UK AI Agent Hackathon EP5 We’re thrilled to welcome @BasedAI_co as a Gold Sponsor of UK AI Agent Hackathon EP5. BasedAI is building the commercialization layer for open-source AI — turning powerful open models into production-ready products, enterprise APIs, and AI workforces. Their platform helps make open-weight models more accessible, affordable, and usable for businesses and builders who want to own their AI stack. As AI agents move from demos to production, BasedAI represents a key part of where the space is heading: open AI infrastructure, scalable inference, sovereign data control, and agent workforces that can deliver real outcomes across sales, support, operations, finance, and more. This summer, we’re bringing together developers, founders, researchers, and AI enthusiasts at Imperial College London to build and showcase the next generation of agentic applications. The best teams will hack their way to the House of Lords Demo Day in September. Learn more about BasedAI: basedai.co Let’s build. aiagentslab.uk/hackathon/ep5
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@iclblockchain Happy to participate and contribute to the AI open source community
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BasedAI retweetledi
BasedAI 🤝 UK AI Agent Hackathon EP5
We’re thrilled to welcome @BasedAI_co as a Gold Sponsor of UK AI Agent Hackathon EP5.
BasedAI is building the commercialization layer for open-source AI — turning powerful open models into production-ready products, enterprise APIs, and AI workforces. Their platform helps make open-weight models more accessible, affordable, and usable for businesses and builders who want to own their AI stack.
As AI agents move from demos to production, BasedAI represents a key part of where the space is heading: open AI infrastructure, scalable inference, sovereign data control, and agent workforces that can deliver real outcomes across sales, support, operations, finance, and more.
This summer, we’re bringing together developers, founders, researchers, and AI enthusiasts at Imperial College London to build and showcase the next generation of agentic applications.
The best teams will hack their way to the House of Lords Demo Day in September.
Learn more about BasedAI:
basedai.co
Let’s build.
aiagentslab.uk/hackathon/ep5
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This Sunday @imperialcollege x @iclblockchain AI Agent Hackathon kicks off.
We're running a BasedAI track. If you're building, you'll want to know about this.
aiagentslab.uk/hackathon/ep5
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