SmallRad Comp

@RJ74120113 @myrealtorty @ThePPseedsShow Oh shiiit

@ThePPseedsShow Please pick 30 people in community who we gifting PP coin this week 1500-3000 USD . Post the list of winners here

“It’s called RAGE BAIT, father. Hit send on the tweet”

@varun_mathur Damn this is actually such a cool idea

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.

@TheDoctorLogos Why is this showing up on my feed

STOP Making Melted Cheese Like This❌🧀 by wisefrogy

@noahzweben @OmidMogasemi Why use this when i already got —dangerously-skip-permissions

To get started check out docs here #auto-fix-pull-requests" target="_blank" rel="nofollow noopener">code.claude.com/docs/en/claude…. You’ll need the Claude Github App installed. To use Auto-merge make sure its enabled on your repo Major shout out to @OmidMogasemi for a ✨job.

Thrilled to announce Claude Code auto-fix – in the cloud. Web/Mobile sessions can now automatically follow PRs - fixing CI failures and addressing comments so that your PR is always green. This happens remotely so you can fully walk away and come back to a ready-to-go PR.

This is how italian families raise their children ‼️‼️

The Pho-bbit

@CitiZenSleuthX Am i the only one who doesnt see 6 fingers lmao. I see under one of his fingers there is a patch of white that looks kind of like a finger but the quality isnt that great. It looks like a blister. Earlier in the video u can see the same tone before the arrow also. Idk

This is about to get fun.

@DominosJack Are the dog days over?

Better early than wrong

@BarkingPuppy8 @ryancohen @jamesvjani I think its time for a new upload

The Hollow Men. @ryancohen

@PhantomBlack699 @exspiracolo I wonder what james jani has to say now. Time for him to redo that dogshit cult of a deadstock video

@PhantomBlack699 @exspiracolo Trimmed like a hair culte

Holy fuck

2 Bs at top overlapped BB signal 2 Ps at the bottom overlapped PP signal

@BarkingPuppy8 @ryancohen @grok what does this mean/symbolize. Its at the end of the video above

@BarkingPuppy8 @ryancohen 5 segments of one piece. 5 letters. Q

@ThePPseedsShow @BarkingPuppy8 @ryancohen Bro just mentioned the elephant in the room

@BarkingPuppy8 @ryancohen Am I tripping there’s a fucking teddy bear on the table wtf

@BarkingPuppy8 @ryancohen What the fuck

@maxleebtc I can reply. I can be the guy

We are hiring! Looking for reply guys / mods 💰 Pay: $1,250 per week 🕒 Schedule: minimum 4 hours daily Comment below if you’re interested.