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Heleus (π, β§)
@Heleusnetwork
Followers
494
Following
2K
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Deep in DePIN. Pre-Order the new Solana SAGA chapter 2. use my referral code ππΌ
Joined September 2021
@FlyFrontier You left me stranded so I could not get home to my dog on Friday evening. You still havenβt addressed this! @FlyFrontier
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@FlyFrontier I keep getting passed off from agent to agent. Still no resolution for your gate agents actions.
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@FlyFrontier I would imagine you are. You put me and other paying passengers trying to make it home after work on a friday in an extremely inconvenient situation for the benefit of your bottom dollar. Do better. Make this right!
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RT @rawrmaan: my detailed analysis of the helium mobile $0 plan this plan serves multiple purposes that might not be obvious on the surfacβ¦
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The hack!
You can add @helium free plan as a second SIM, and your phone will automatically connect to Helium Wi-Fi hotspotsβwhile still using your main carrier. No need to switch carriers.
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#IO send π«‘
Will DeepSeek change AI forever? And what does it mean for DePIN infra plays? DeepSeekβs rumoured training cost of only $5M has sent shock waves through the US tech sector and crypto markets. In my article I dive deep into the implications of it all. Keep reading here for shorter TL;DR. So what is DeepSeek? DeepSeek is a pretty performant LLM built by a Chinese AI quant fund. Itβs fully open-source and that can be run at a great price. What about the training cost? The $5m total training cost part of the story is hard to believe and is probs just (highly effective) marketing. The fact that various optimisations to make it much cheaper to run, while maintaining high performance, is a big milestone for open-source AI though and likely a net positive for the industry (as well DePIN and crypto more broadly). DeepSeek definitely doesnβt render everything else obsolete tho and the long-term impact on the AI industry will remain measured. However, DeepSeek does exemplify the drive towards cheaper training/inference setups not dependant on scarce top-tier GPU resources from which many smaller companies or independent researchers are priced out from in the first place. By providing builders a cheap to operate, yet highly performant model that can be run on local infrastructure and fine-tuned to serve specific use cases, the demand for decentralized compute infrastructure like @ionetβs GPU network, will likely even see an uptick in demand. Especially as @ionet is uniquely positioned as a marketplace for efficient compute resource allocation, that does NOT own its GPUs, there is also little downside risk from top tier GPUs like Nvidiaβs H100 losing demand and ultimately value. With other DePIN networks that have spent millions to acquire such GPUs, thatβs different, as a shift towards models that can be run on mid-tier GPU infra, could impact margins and ultimately even the viability of their business models. So imo quite bullish for well designed DePIN protocols such as @ionet, more of a risk for others, but overall a net positive for our industry and a catalyst for open-source AI. Check full article for more in-depth information on the tech that underlies DeepSeek, context on the cost difference to other models, and the reported performance benchmarks.
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π
a new @helium explorer is about to drop. so many cool features, but specifically love being able to filter by entire regions stallions at work π΄
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RT @zer0tweets: Only a day later it seems the numbers are already stale. New DAU ATH yet again today π Next stop 500K.
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@madninja @helium_mobile Can we still maintain SSIDβs of the legacy network while also serving heliums network?, or does it have to be one or the other? I may have several business that would be interested in adding a separate public network but not at the expense of losing their existing network.
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RT @ionet: If you're watching AI, you're probably seeing @deepseek_ai everywhere. The DeepSeek R1 launch has been exciting, but full of hyβ¦
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RT @ionet: Our team is working on the worldβs first full-stack decentralized AI cloud, transforming everything from compute to AI model marβ¦
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