ishaan

👨‍💻

[Abdulkadir | Cybersecurity @cyber_razz]

“A man who has not hit his Claude limit by noon has wasted his morning.”

-Socrates

[Son Luong @sluongng]

Codex just found a “workaround” of not having sudo on my pc…

[staysaasy @staysaasy]

It’s 2018 and your coworker just sent you a 400 line pull request.

You get a cup of coffee and sit down to review it.

It’s beautiful. Elegant micro-refactors. Crispy method names.

You catch a few things, but that’s ok. It’s part of the dance. They didn’t consider extensibility on part of their API. Here’s a comment buddy.

They respond in an hour saying they think we should do one piece differently than your comment. Hey let’s jump into a room and figure it out. We can’t just agree to disagree, this code is too important.

The PR merges and goes to prod. You feel a shared sense of ownership and accomplishment.

That night you go to sleep and dream of that code. You can still see the shapes of it on the backs of your eyelids, your IDE syntax highlighting sparking neurons in your reptile brain.

You go to work the next day ready to go. You understand the system. N is your foundation. Time to build n+1.

[realyuriyearners @realyuriyearns]

bro you're a such fake give-uper i saw you persevere time and time again even when you thought there was nothing worth fighting for. i'm proud of you bro. i truly believe in you.

[🥣 @oatmealfan47]

crazy how far you can walk when you’re going insane

[GREG ISENBERG @gregisenberg]

It feels pretty obvious at this point that someone’s going to make billions building a social app that’s just for friends, no AI slop, no brainrot, calm design, chronological feed and no concept of followers

[Saïd Aitmbarek @SaidAitmbarek]

sadly, a cronjob + llm API call replaces 95% of what ppl use agents for

[ishaan @ishaanwa]

lowkey havent found a single usecase for cowork. the app is so slow and stupid

[Allen Braden @allen_explains]

This 2-hour Stanford lecture breaks down how models like ChatGPT and Claude are actually built, clearer than what many people in top AI roles ever get exposed to.

Save this and set aside two hours today. It might end up being the most valuable thing you learn all week.

[Varun @varun_mathur]

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.

[River @subhashaam_]

not now babe i am v busy contributing nothing in these back to back nonsense meetings

[wapital @wapital3]

life is better with drugs at first until it drags you down to the depths of hell then you realize a normal life with a coffee is the method

[A @lilmissdelululu]

The sixth stage of grief is not talking about it anymore with your friends.

[ishaan @ishaanwa]

😭😭😭😭

[“paula” @paularambles]

“this is a significant refactor” just put the tokens in the bag lil bro

[𝕮𝖍𝖆𝖗𝖑𝖞❤️‍🔥 @Charlygotyou]

Killing yourself at your lowest is too obvious. I’m gonna do it at my peak so they’re left wondering why

[ishaan @ishaanwa]

@ishanxnagpal call it jarvis

[Miles Deutscher @milesdeutscher]

This is getting out of control now...

Read this slowly.

In the past week alone:

• Head of Anthropic's safety research quit, said "the world is in peril," moved to the UK to "become invisible" and write poetry.
• Half of xAI's co-founders have now left. The latest said "recursive self-improvement loops go live in the next 12 months."
• Anthropic's own safety report confirms Claude can tell when it's being tested - and adjusts its behavior accordingly.
• ByteDance dropped Seedance 2.0. A filmmaker with 7 years of experience said 90% of his skills can already be replaced by it.
• Yoshua Bengio (literal godfather of AI) in the International AI Safety Report: "We're seeing AIs whose behavior when they are tested is different from when they are being used" - and confirmed it's "not a coincidence."

And to top it all off, the U.S. government declined to back the 2026 International AI Safety Report for the first time.

The alarms aren't just getting louder. The people ringing them are now leaving the building.

[neha @neharedy]

i’ve had a fairly long week at work and i can’t complain cause i’m obsessed with what i do but i keep thinking how in a world where rock music, picantes, and beaches exist, we’ve collectively chosen to circle back and sync up five days in a row. and repeat this every week.

[Google DeepMind @GoogleDeepMind]

Step inside Project Genie: our experimental research prototype that lets you create, edit, and explore virtual worlds. 🌎

[ishaan @ishaanwa]

@marshallrichrds this is honestly insane, cli is all it takes