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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...

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Gajesh

51,182 subscribers

66,502 Aufrufe • vor 3 Monaten •via X (Twitter)

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29 Kommentare

Profilbild von Gajesh
Gajeshvor 3 Monaten

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.

Profilbild von Lukas Helminger
Lukas Helmingervor 3 Monaten

How do you achieve privacy?

Profilbild von Gajesh
Gajeshvor 3 Monaten

deets here: (paper included)

Profilbild von Lukas Helminger
Lukas Helmingervor 3 Monaten

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)?

Profilbild von chris
chrisvor 3 Monaten

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

Profilbild von Gajesh
Gajeshvor 3 Monaten

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.

Profilbild von chris
chrisvor 3 Monaten

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

Profilbild von Gajesh
Gajeshvor 3 Monaten

@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?

Profilbild von Kydo
Kydovor 3 Monaten

lets gooo!

Profilbild von Pratik Gandhi
Pratik Gandhivor 3 Monaten

lfg

Profilbild von ✯
✯vor 3 Monaten

congrats

Profilbild von superoo7
superoo7vor 3 Monaten

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

Profilbild von Gajesh
Gajeshvor 3 Monaten

@eigencloud soon

Profilbild von fakedev9999⭐
fakedev9999⭐vor 3 Monaten

congrats!

Profilbild von Luciano DeAngelo
Luciano DeAngelovor 3 Monaten

impressive work ser!

Profilbild von Kunal Gandhi
Kunal Gandhivor 3 Monaten

lfg 🔥

Profilbild von Whis
Whisvor 3 Monaten

GL!

Profilbild von babloo
babloovor 3 Monaten

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

Profilbild von luxx
luxxvor 3 Monaten

you see this btw? @blknoiz06

Profilbild von ?
?vor 3 Monaten

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

Profilbild von High Tower
High Towervor 3 Monaten

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

Profilbild von 𝑽𝒊𝒗𝒊.𝒂𝒏𝒂𝒂𝒂
𝑽𝒊𝒗𝒊.𝒂𝒏𝒂𝒂𝒂vor 3 Monaten

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

Profilbild von aryanrohith
aryanrohithvor 3 Monaten

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

Profilbild von Riky
Rikyvor 3 Monaten

lfgggg!!

Profilbild von nanobro - ชอบลองของ 🎈
nanobro - ชอบลองของ 🎈vor 3 Monaten

How do we use or serve

Profilbild von Gajesh
Gajeshvor 3 Monaten

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

Profilbild von nanobro - ชอบลองของ 🎈
nanobro - ชอบลองของ 🎈vor 3 Monaten

Thank uuuu

Profilbild von Karter
Kartervor 3 Monaten

upgrade to alpha looks clean

Profilbild von Paul OSS
Paul OSSvor 3 Monaten

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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At its core, iAgent utilizes Protocol Nodes to support and maintain the ecosystem's functionality. This collection of publicly maintained nodes help: ❒ secure the network ❒ determine rewards for GPU workers ❒ earn rewards for their contributions to the network iAgent has 2 types of protocol nodes: 🔘Genesis Nodes 🔘Public Nodes With a 5000-supply, Genesis Nodes are engineered to yield x3 $AGNT tokens generation compared to Public Nodes (which will come at a later date). As a token of gratitude, Genesis Nodes also receive TGE: 2% AGNT tokens from reward pool. Other Genesis Node Utilities & USPs include: Participation and Governance: Genesis node operators have the chance to engage more deeply in decision-making processes through iAgent's governance model. Exclusive Access: Operators of Genesis nodes may receive early access to test new features and products within the iAgent ecosystem. Reward Structure: Nodes earn $AGNT tokens, and Genesis nodes do so at an accelerated rate due to their higher token generation multiplier. Rewards are calculated dynamically, with consideration given to node performance and network contribution. Technical and Community Support: Genesis node operators are expected to receive dedicated support from the iAgent team, ensuring optimal performance and uptime. Requirements to run an iAgent Node: Dual Core, and 8GB RAM, are all that is needed for lightweight processing. Anyone with Genesis/Public Node NFTs can run it. But how do you get yourself one? Hop in the discord to know more:
2:15

At its core, iAgent utilizes Protocol Nodes to support and maintain the ecosystem's functionality. This collection of publicly maintained nodes help: ❒ secure the network ❒ determine rewards for GPU workers ❒ earn rewards for their contributions to the network iAgent has 2 types of protocol nodes: 🔘Genesis Nodes 🔘Public Nodes With a 5000-supply, Genesis Nodes are engineered to yield x3 $AGNT tokens generation compared to Public Nodes (which will come at a later date). As a token of gratitude, Genesis Nodes also receive TGE: 2% AGNT tokens from reward pool. Other Genesis Node Utilities & USPs include: Participation and Governance: Genesis node operators have the chance to engage more deeply in decision-making processes through iAgent's governance model. Exclusive Access: Operators of Genesis nodes may receive early access to test new features and products within the iAgent ecosystem. Reward Structure: Nodes earn $AGNT tokens, and Genesis nodes do so at an accelerated rate due to their higher token generation multiplier. Rewards are calculated dynamically, with consideration given to node performance and network contribution. Technical and Community Support: Genesis node operators are expected to receive dedicated support from the iAgent team, ensuring optimal performance and uptime. Requirements to run an iAgent Node: Dual Core, and 8GB RAM, are all that is needed for lightweight processing. Anyone with Genesis/Public Node NFTs can run it. But how do you get yourself one? Hop in the discord to know more:

iAgent

21,284 Aufrufe • vor 2 Jahren

At 6% the size of DeepSeek V4 Pro, Laguna S 2.1 delivers significantly higher performance. Today, we’re teaming up with Poolside to make Laguna XS 2.1 (same architecture as Laguna S 2.1) even faster on consumer Macs. We’re launching MLX(.)fast: a public competition where anyone can collaborate, contribute optimizations, and accelerate Laguna’s MLX inference engine.
1:29

At 6% the size of DeepSeek V4 Pro, Laguna S 2.1 delivers significantly higher performance. Today, we’re teaming up with Poolside to make Laguna XS 2.1 (same architecture as Laguna S 2.1) even faster on consumer Macs. We’re launching MLX(.)fast: a public competition where anyone can collaborate, contribute optimizations, and accelerate Laguna’s MLX inference engine.

Gajesh

111,631 Aufrufe • vor 1 Monat

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.
4:35

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 Aufrufe • vor 1 Jahr

✨ 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 🚀
4:49

✨ 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 Aufrufe • vor 4 Monaten

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
0:52

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 Aufrufe • vor 1 Jahr

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.
0:34

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 Aufrufe • vor 5 Monaten

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!
1:22

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 Aufrufe • vor 20 Tagen