Adhara Dukedom
607 posts

Adhara Dukedom
@deepwyld
aka AK aka DJ Mead aka Duke of Adhara
شامل ہوئے Şubat 2021
385 فالونگ112 فالوورز

i wonder the mean median and mode of ages at @vibecamp_
can we add trampolines and bubble blowings and a wood carving station and an apple slicing zone and a costumed ball and all the whimsy and and and
(i’m thinking of really finally trying to go to vibecamp this year)
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Adhara Dukedom ری ٹویٹ کیا

@NickPrijic @creatine_cycle Definitely not. Kate’s menstrual blood could only damage the health of a specimen such as Bryan Johnson
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dating a tech bro is insane because they'll call your period an "experiment"
Bryan Johnson@bryan_johnson
No sex with Kate. 5 day abstinence. For an experiment. Goodnight everyone.
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@sporadica In my experience straddling these two worlds, the tech crowd tends to be too pretentious. They tend to care more about status than producing cool shxt
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Semen retention is the ultimate longevity protocol
Bryan Johnson@bryan_johnson
No sex with Kate. 5 day abstinence. For an experiment. Goodnight everyone.
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Adhara Dukedom ری ٹویٹ کیا

🚨 There are massive promo networks for crypto and AI scams on this platform that operate completely unethically, openly violate X’s TOS, and engage in money laundering. During the last two years, I’ve infiltrated several of them and am currently writing a thread exposing everyone involved in running and organizing these operations.
I will be hated by literally every big grifter account on this platform, but I don't care anymore. Grow a spine, guys!
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Adhara Dukedom ری ٹویٹ کیا

@perplexity_ai Can you please stop the undisclosed promotion campaigns? It deceives users and it does not reflect well on your company or your integrity. @AravSrinivas
x.com/goddek/status/…
Dr. Simon Goddek@goddek
@realpeteyb123 Hey @nikitabier – is this against @X’s TOS?
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@nikitabier @perplexity_ai @AravSrinivas scrolling through the quotes, literally all of them are ads with paid promotion. sigh.
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Introducing Pods
Hyperspace Pods lets a small group of people - a family, a startup, a few friends, to pool their laptops and desktops into one AI cluster. Everyone installs the CLI, someone creates a pod, shares an invite link, and the machines form a mesh. Models like Qwen 3.5 32B or GLM-5 Turbo that need more memory than any single laptop has get automatically sharded across the group's devices - layers split proportionally, inference pipelined through the ring. From the outside it looks like one OpenAI-compatible API endpoint with a pk_* key that drops straight into your AI tools and products. No configuration beyond pasting the key and changing the base URL.
A team of five paying for cloud AI burns $500–2,000 a month on API calls. The same team's existing machines can serve Qwen 3.5 (competitive on SWE-bench) and GLM-5 Turbo (#1 on BrowseComp for tool-calling and web research) for free - the hardware is already on their desks. When a query genuinely needs a frontier model nobody has locally, the pod falls back to cloud at wholesale rates from a shared treasury. But for the daily work - code reviews, refactors, research, drafting - local models handle it and nobody gets billed. And when it is idle, you can rent out your pod on the compute marketplace, with fine-grained permissions for access management.
There's no central server involved in inference. Prompts go from your machine to your pod members' machines and back: all of this enabled by the fully peer-to-peer Hyperspace network. Pod state - who's a member, which API keys are valid, how much treasury is left - is replicated across members with consensus, so the whole thing works on a local network. Members behind home routers don't need port forwarding either. The practical setup for most pods is three models covering different jobs: Qwen 3.5 32B for code and reasoning, GLM-5 Turbo for browsing and research, Gemma 4 for fast lightweight tasks. All running on hardware you already own.
Pods ship today in Hyperspace v5.19. Model sharding, API keys, treasury, and Raft coordinator are all live.
What Makes This Different - No middleman. Your prompts travel from your IDE to your pod members' hardware and back. There is no server in between reading your data.
- No vendor lock-in. Pod membership, API keys, and treasury are replicated across your own machines using Raft consensus. If the internet goes down, your local network keeps working. There is no database in someone else's cloud that your pod depends on.
- Automatic sharding. You don't configure layer ranges or calculate VRAM budgets. Tell the pod which model you want. It figures out how to split it across whatever hardware is online.
- Real NAT traversal. Your friend behind a home router with a dynamic IP? Works. No VPN, no Tailscale, no port forwarding. The nodes handle it.
- Free when local. This is the part that matters most. Cloud AI bills scale with usage. Pod inference on local hardware scales with nothing. The marginal cost of your 10,000th prompt is the electricity your laptop was already using.
Coming soon:
- Pod federation: pods form alliances with other pods.
- Marketplace: pods with spare capacity can sell inference to other pods.
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@hormeze Frederick Dodson has a great take on the energy level of McDonald’s
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@Amina_io Both male baristas at my cafe are rocking this stache now. Looks good on them
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