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Darkbloom just completed a major network upgrade! BIG UPDATE: We’re moving from Research Preview to Public Alpha. In the last month: - 1000s of provider signups, 250 live providers at peak - 600M+ tokens served With this upgrade, performance is up 30–200% across key metrics like TTFT, TPS, and... total tokens served. The goal is simple: private, low-cost inference, powered by idle Macs. We’re starting with Gemma 4 and GPT-OSS, then slowly ramping up to larger models as we load test and scale over the next 2 weeks. Providers: go to darkbloom [dot] dev, scroll to down, and run the install command. Thank you to everyone who has been running nodes, giving feedback, and helping us build this network. Waking up the world’s sleeping compute!show more

Gajesh

51,182 subscribers

66,502 views • 3 months ago •via X (Twitter)

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Gajesh3 months ago

will put down my thoughts and answer the few questions i get from replies here: - we’re able to achieve this with lesser batching; most data center providers heavily compute your requests with hundreds others. we adjust this for each node dynamically based on the TPS they can serve. - we can theoretically increase the inference supply by 15% if we can get all large mac machines in the network. Much higher if medium size (64GB) can do more.

Lukas Helminger3 months ago

How do you achieve privacy?

Gajesh3 months ago

deets here: (paper included)

Lukas Helminger3 months ago

Thanks. Gave it a quick look. Is it fair to say it’s Apple Silicon minus - security from side channel attacks (as everyone can run them at home and tamper with the hardware)?

chris3 months ago

@gajesh This point is completely lost on the team, unfortunately. We've been over it with them, they're in denial.

Gajesh3 months ago

we're not in denial. we agree that the threat model is "hack apple to hack us" similar to what distributed intel-based CC networks are doing and the people we're talking to are fine with this threat model. there are categories like gaming, translation, autoresearch which don't always require same grade of privacy as legal or health documents. if this was not clear in our wording on the website - let us know. we're happy to correct that.

chris3 months ago

@luhelminger >there are categories like gaming, translation, autoresearch which don't always require same grade of privacy as legal or health documents. ?

Gajesh3 months ago

@luhelminger sorry for that. our marketing team misinterpreted it earlier. if you see it on our websites - then let us know. cc @0xpratik - can you issue a correction?

Kydo3 months ago

lets gooo!

Pratik Gandhi3 months ago

lfg

✯3 months ago

congrats

superoo73 months ago

@eigencloud congratz! would be great to run qwen model as well 🔥

Gajesh3 months ago

@eigencloud soon

fakedev9999⭐3 months ago

congrats!

Luciano DeAngelo3 months ago

impressive work ser!

Kunal Gandhi3 months ago

lfg 🔥

Whis3 months ago

GL!

babloo3 months ago

@eigenyapper Any way this benifits from eigencloud or any way this gets value to ethereum:0xec53bf9167f50cdeb3ae105f56099aaab9061f83 ?

luxx3 months ago

you see this btw? @blknoiz06

?3 months ago

public alpha is where you find out which guarantees actually hold under real traffic. 250 live providers and 600M tokens served is solid for research preview, curious how the privacy model scales from here

High Tower3 months ago

wild to see sleeping macs go from couch mode to beast mode privacy + low cost = game changer running gemma on this thing now

𝑽𝒊𝒗𝒊.𝒂𝒏𝒂𝒂𝒂3 months ago

idle macs making money while i sleep? i'm listening

aryanrohith3 months ago

@Gajesh Is there a reason earnings estimate change when you are logged in vs not?

Riky3 months ago

lfgggg!!

nanobro - ชอบลองของ 🎈3 months ago

How do we use or serve

Gajesh3 months ago

if u want to serve: scroll to earn and if u want to use:

nanobro - ชอบลองของ 🎈3 months ago

Thank uuuu

Karter3 months ago

upgrade to alpha looks clean

Paul OSS3 months ago

The current build isnt actually private ? your site says encrypted end-to-end, but your own terms reference "the current absence of end-to-end encryption between consumer and provider." so which is it?

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21,284 views • 2 years ago

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Gajesh

111,631 views • 1 month ago

A voice agent powered by gpt-oss. Running locally on my macBook. Demo recorded in a Waymo with WiFi turned off. I'm still on my space game voice AI kick, obviously. Code link below. For conversational voice AI, you want to set the gpt-oss reasoning behavior to "low". (The default is "medium".) Notes on how to do that and a jinja template you can use are in the repo. The LLM in the demo video is the big, 120B version of gpt-oss. You can use the smaller, 20B model for this, of course. But OpenAI really did a cool thing here designing the 120B model to run in "just" 80GB of VRAM. And the llama.cpp mlx inference is fast: ~250ms TTFT. Running a big model on-device feels like a time warp into the future of AI.

A voice agent powered by gpt-oss. Running locally on my macBook. Demo recorded in a Waymo with WiFi turned off. I'm still on my space game voice AI kick, obviously. Code link below. For conversational voice AI, you want to set the gpt-oss reasoning behavior to "low". (The default is "medium".) Notes on how to do that and a jinja template you can use are in the repo. The LLM in the demo video is the big, 120B version of gpt-oss. You can use the smaller, 20B model for this, of course. But OpenAI really did a cool thing here designing the 120B model to run in "just" 80GB of VRAM. And the llama.cpp mlx inference is fast: ~250ms TTFT. Running a big model on-device feels like a time warp into the future of AI.

kwindla

202,211 views • 1 year ago

✨ Personal AI is the next computing platform. AI is shifting from something you access to something you build with, locally, at the edge, and across systems. We’re unlocking new possibilities for developers: • AMD Ryzen AI Halo, a local-first developer system, preorder starting in June, develop AI without limits on your desk • Gorgon Halo with up to 192GB unified memory, supporting 300B+ parameter models locally, run massive models locally We’re excited to partner with clem 🤗🤗, Co-founder and CEO of Hugging Face, to advance open-source AI for Ryzen AI. Our focus is seamless AI, from model to deployment. Cloud, edge, device. One continuum. Multi-agent systems, local inference at scale, open models as infrastructure. This is the next computing era 🚀

✨ Personal AI is the next computing platform. AI is shifting from something you access to something you build with, locally, at the edge, and across systems. We’re unlocking new possibilities for developers: • AMD Ryzen AI Halo, a local-first developer system, preorder starting in June, develop AI without limits on your desk • Gorgon Halo with up to 192GB unified memory, supporting 300B+ parameter models locally, run massive models locally We’re excited to partner with clem 🤗🤗, Co-founder and CEO of Hugging Face, to advance open-source AI for Ryzen AI. Our focus is seamless AI, from model to deployment. Cloud, edge, device. One continuum. Multi-agent systems, local inference at scale, open models as infrastructure. This is the next computing era 🚀

Jack Huynh

50,015 views • 4 months ago

Karlsen Network Stage 2 is Coming!🚀 At #Karlsen Network, we believe in building the future with integrity and dedication. That’s why we’ve spent months actively developing this major update, ensuring it’s built on solid ground before sharing it with the world. We’re thrilled to reveal that we now have our first results—and they’re set to seriously redefine our roadmap. We’re proud to introduce Network Stage 2, a transformative update that will reshape how computational power is used across the network. With Proof of Useful Work (#PoUW), miners can now perform real-world computations alongside block proof of work, unlocking new earning potential and revolutionizing #GPU usage. With this we celebrate our 1 year anniversary🎂, thank you for your continued trust and support. Together, we’re not just building a network; we’re shaping the future. Enjoy the video!📽 Karlsen Network $KLS

Karlsen Network Stage 2 is Coming!🚀 At #Karlsen Network, we believe in building the future with integrity and dedication. That’s why we’ve spent months actively developing this major update, ensuring it’s built on solid ground before sharing it with the world. We’re thrilled to reveal that we now have our first results—and they’re set to seriously redefine our roadmap. We’re proud to introduce Network Stage 2, a transformative update that will reshape how computational power is used across the network. With Proof of Useful Work (#PoUW), miners can now perform real-world computations alongside block proof of work, unlocking new earning potential and revolutionizing #GPU usage. With this we celebrate our 1 year anniversary🎂, thank you for your continued trust and support. Together, we’re not just building a network; we’re shaping the future. Enjoy the video!📽 Karlsen Network $KLS

Karlsen Network

12,569 views • 1 year ago

We’re 1 year old 🥳 It’s been a brilliant first year - we’re grateful to everyone who has been creating with us. 2025 was building a scalable product. Over the last few months, our creator network has grown by 800%+ with no sign of slowing down. Now, Bitcast goes to market. With a platform that enables enterprise clients to launch campaigns in minutes and generate content that would have otherwise taken multilingual teams months to deliver. Over the next month, we’ll be sharing our updated roadmap and strategy for becoming the go-to content platform in web3 and how we plan to tackle even bigger markets.

We’re 1 year old 🥳 It’s been a brilliant first year - we’re grateful to everyone who has been creating with us. 2025 was building a scalable product. Over the last few months, our creator network has grown by 800%+ with no sign of slowing down. Now, Bitcast goes to market. With a platform that enables enterprise clients to launch campaigns in minutes and generate content that would have otherwise taken multilingual teams months to deliver. Over the next month, we’ll be sharing our updated roadmap and strategy for becoming the go-to content platform in web3 and how we plan to tackle even bigger markets.

Bitcast | SN93

16,720 views • 5 months ago

Today we’re announcing r-1, our new document parsing model. It’s more accurate than our most powerful agentic OCR models, faster, and up to 6x cheaper. At Reducto, we spent two years building specialized models for complex visual layouts, tables spanning multiple pages, and key formatting like strikethroughs. We then used everything we learned to build r-1, the first in a new generation of models designed to handle the hardest documents without multiplying cost. This early preview delivers a 20% lower error rate than our most accurate legacy agentic models and will keep improving with new checkpoints over the next few weeks. Accuracy is only the beginning. r-1 preview is available at 1¢ per page all-in, with additional volume discounts as you scale. In the near term we’re also going to release r-1 mini, and an auto mode that intelligently selects the right approach for each page. If you’re currently using another parser, we’re offering up to $5,000 in credits to evaluate and migrate. You can claim the migration offer and learn more about r-1 using the links in the comments. Happy parsing!

Today we’re announcing r-1, our new document parsing model. It’s more accurate than our most powerful agentic OCR models, faster, and up to 6x cheaper. At Reducto, we spent two years building specialized models for complex visual layouts, tables spanning multiple pages, and key formatting like strikethroughs. We then used everything we learned to build r-1, the first in a new generation of models designed to handle the hardest documents without multiplying cost. This early preview delivers a 20% lower error rate than our most accurate legacy agentic models and will keep improving with new checkpoints over the next few weeks. Accuracy is only the beginning. r-1 preview is available at 1¢ per page all-in, with additional volume discounts as you scale. In the near term we’re also going to release r-1 mini, and an auto mode that intelligently selects the right approach for each page. If you’re currently using another parser, we’re offering up to $5,000 in credits to evaluate and migrate. You can claim the migration offer and learn more about r-1 using the links in the comments. Happy parsing!

Adit

299,293 views • 19 days ago