https://capitol-hill-riots.s3.us-east-1.wasabisys.com/...

Like, is it covering up how miniscule his injury is and is mainly intended to drum up sympathy/anger? More than likely

Late stage capitalism. You can't expect year over year growth for eternity without running into a resource cap. Profit growth is all the shareholders care about because it's literally written into United States economics laws that investors get paid first. All these dirty tricks and bad decisions are coming from CEO's with limited understanding of the effects of their policies, trying to push for an extra 2% on top of their already obscene margins

Search for "Thiel Dialogue Leaks" for more nightmare fuel to read

Aren't there laws in place about consent and recording phone calls specifically?

Stephen Baxter has a ton of hard sci fi books with a similar aesthetic, expansive stories, and interesting philosophy

Why is it so hard for some people to just say "ok" and move on because it's important to the other person. ESPECIALLY if "it's no big deal" then just do it and see how much more your NB and trans friends feel comfortable

Get yourself a decent router capable of running OpenWRT, which will allow you to set up vlan's for your lab, and (I would also recommend) another separate vlan for your IoT and other "smart" devices.

The TP-Link Archer C7 is old but reliable and has a lot of open source support.

If you're feeling more adventurous You could also build your own router with any computer that's got two or more Ethernet ports using PFSense, Firewall-NG, or IPFire

The pre-LLM-effort-was-a-filter argument holds up, but I think what effort was really filtering for was why someone built the thing. High effort filtered out "this seemed fun for a weekend" projects. LLMs just surfaced that those were always the majority.

The better filter is: does this project serve a specific audience that genuinely needs it, or is it a demo of what you can do with Claude?

What I look for now:

• Specific problem for a specific group of people (not "general-purpose LLM wrapper")

• Open core (MIT or something that lets the community carry it if the author walks)

• Revenue model or institutional backing (someone has to keep the lights on)

• Evidence the author understands what they shipped, not just LLM output committed wholesale

We build CircuitForge, self-hosted tools for navigating opaque systems (job markets, government benefits, insurance). The architecture is deterministic-first: eligibility checks, validation, and data pipelines are rule-based and grounded in structured data, so the LLM is drafting from a clean, repeatable foundation rather than hallucinating into a void. That also means we can run smaller, specifically fine-tuned models instead of throwing a frontier model at everything and hoping for the best. Smaller models run on consumer hardware, which cuts hosting cost and shrinks the privacy risk surface significantly. Humans approve before anything acts. Pipeline layer is MIT and lives on Forgejo. There's a full devops stack, a real business model, and I use these tools every day. We're also actively collaborating with other devs and always looking for contributors.

The people using these tools actually need them. That's the commitment signal that doesn't evaporate when the novelty wears off.

The pricing question assumes the current model (cloud inference, centralized compute, hyperscaler margins) is the only model.

Local inference flips that math entirely. If the model runs on your hardware, the marginal cost to the provider is close to zero. The pricing problem is a distribution problem, not a compute problem.

What I think actually happens: cloud AI settles at $20-50/month for power users who need the latest frontier models and don't want to manage hardware. That's sustainable. The "free tier" disappears or gets severely throttled.

But for a large chunk of use cases (summarization, classification, drafting, local assistants) models small enough to run on a consumer GPU are already good enough. That market doesn't need to pay $50/month to Anthropic. It needs a good local runner and a one-time hardware investment.

The companies that will survive the pricing correction are the ones who either have genuinely differentiated frontier capability, or who make local deployment easy enough that users own their own stack.

The stepper drivers run directly of the main power supply through Vcc, so assuming you haven't added any extra heaters or other crazy amounts of power draw, you should be just fine adding another motor.

Using the second z for stability would be a more traditional use of those parts but your idea sounds like a lot of fun!

Yup. Already working on a suite of local pipeline apps and an orchestration platform for this. Happy to share if interested! Source

badger badger badger badger

🍄🍄

Is there anything a mildly competent electronics enthusiast could do to disable any outbound data?

Think you might be a little lost my friend....

And thereby lock it away from the underserved communities that need it most? Naw. Open source publishing is the way forward for a truly egalitarian system, which is what I'm aiming for

Sorry to break it to you bruh, but if Facebook owns the IP, they're harvesting and monetizing the account data, end of.

This includes all of the subsidiaries like Instagram and WhatsApp as well.

Let's also not forget that illegal activity exposes user data in addition to greed, and just the fact that your data is in yet another pot increases your risk. Also yes all corporations are greedy and evil but they're definitely not all equal in how bad they are, and FB is one of the worst

Are you willing to compromise on all of these intrusions into your life? Many people are, but I'm not one.

Spotted the fellow millennial

What about the other 97% of the biosphere?

JFC I hope not...