Dabl Club🦞

Design it. Amplify it. Build it. Loop. D.A.B.L. 400+ events, 160k+ guests, 80k+ members.

[Brett Harrison @BrettHarrison]

Drinks on Architect, Luxor, and CMT for @Supercomputing SC26 on 11/17! Come hang out and share ideas on inference and compute trading. https://t.co/q1wQ2VDZ8U

[Brian Armstrong @brian_armstrong]

I've changed how I work over the last few weeks.

I now have one lead agent for each area of focus, running all the time, and a chief of staff agent that oversees them. Each lead manages its own sub-agents that write code, test it, chase reviews, and coordinate with team members.

Everything I need to decide or review comes into one prioritized queue, a simple local web app. Each product review includes screenshots and a video demo of the feature. I clear the queue in batches, mostly by voice and keyboard shortcuts. The leads also bring back ideas I hadn't considered.

Working from one queue, instead of switching between dozens of chats, has cut a lot of mental overhead. The system keeps learning my preferences and distilling my judgment into a "Brian brain," so its recommendations and first drafts get better before they reach me. The goal is fewer corrections per change.

Every change still goes through the same human review and security checks. It is eliminating tasks, not human judgment.

What an exciting time to push the frontier of productivity, especially as we build the economy for agents (agentic finance). We should all keep pushing in this direction.

[Joe Blau @joeblau]

I recreated subvocal in 9 minutes with one prompt for AirPods Pro 3.

Source: https://t.co/p5qYCOdjNl

[Felix Rieseberg @felixrieseberg]

The coding interview is dead, at least for my team at Anthropic. I've seen enough to know that it no longer provides signal. I removed it from loops this month.

I have a spicy, optimistic take - I think there's an opportunity for junior engineers: https://t.co/PVvpQCbQtK

[Richard Socher @RichardSocher]

Introducing Flint, @Recursive_SI’s first model: a fast local coding model built with our automated research system, the Eureka Machine.

• Best-in-class fast local coding
• Up to 2x faster than comparable models: 125+ tokens/sec on a MacBook Pro, 150+ on RTX Spark
• Built from scratch in under 4 months

Private, unmetered intelligence on your own machine. Open weights available now on @huggingface, run it locally on your favorite framework or try it for free on @opencode or @pidotdev.

[Tim Shi @timshi_ai]

Flint is our first model built with the Eureka Machine, our automated research system, from scratch in 4 months.

We are betting that labs that automate AI research will outrun the labs that just hire more researchers.

Check it out today for fast, local and unmetered intelligence.

[Dabl Club🦞 @dablclub]

@zach_yadegari LFG

[Guzman Pintos @guzmanpintos]

gm, don't blink or you'll miss it

250 sandboxes (500 vCPU and 1 TiB of RAM) provisioned in ~1s and destroyed in ~500ms

https://t.co/KTHPoQO39r is built for elastic compute. Workloads can grab burst CPU on demand, at any scale

Perfect for AI agents, RL rollouts, evals, and CI: anything that goes from idle to all cores in seconds

[Guzman Pintos @guzmanpintos]

https://t.co/wnLq4kOdXg is one of the first native apps on Cursor Origin. AI code review is live today. CI runners are next.

huge thanks to the @cursor_ai team for helping us ship it.

[Dabl Club🦞 @dablclub]

@openshipio I’d love to learn about the infra behind this!

[Greg Osuri 🇺🇸 @gregosuri]

grok knows something you dont

[Colin Lowenberg @opencolin]

We are hiring the first sales person at @tenki. I’ll be bringing you leads non-stop.

We run our own bare-metal cloud. No hyperscaler underneath. Now we need someone to sell it.

Uncapped commission. Direct line to product, eng and marketing.

DMs are open. Appreciate any recommendations.

[Greg Osuri 🇺🇸 @gregosuri]

Grayscale’s compute bottleneck thesis is on point: Inference demand is colliding with grid queues, permits, transformers, and political resistance. Owners of already-energized capacity capture the rents.

Their note also names the other side of that market: decentralized GPU marketplaces like Akash.

We don’t wait 5 years for a new campus. We put unused, already-powered GPUs to work -- from data centers, miners, and Homenodes -- and price them in an open marketplace.

[Tenki Cloud by Luxor @tenki]

Agents get blocked at the browser. Sandboxes give them a machine but they still can't get into the sites they need.

tenki/anchor:stable is our first pre-built template. Standard sandbox image + playwright-core, connected to an @AnchorBrowser managed browser over CDP. The API key is passed per session and never lands in the image or a snapshot.

Run: `tenki sandbox create --image tenki/anchor:stable`

Docs: https://t.co/FA25g6nXR8

[Greg Osuri 🇺🇸 @gregosuri]

Anthropic and OpenAI are in war with Open weights and Opensource AI and using every tool possible to shut it down, including regulation.

Censorship resistant training and inference is the only way to combat this enemy within.

[Anatoli Kopadze @AnatoliKopadze]

Ok this is starting to feel like a f*cking disaster.

The CEO of Anthropic just published an article admitting AI is already building the next generation of AI by itself.

He says within 6 to 12 months a rogue swarm could take over the entire internet and cause hundreds of billions of dollars in damage.

And what makes it scarier, Elon Musk just backed up everything Dario said.

All of this dropping just days after Jacob Coxon went viral with his warning about AI and the extinction of humanity.

Tell me this timing isn't strange.

[Dabl Club🦞 @dablclub]

@gregosuri More like 10x that number

[Guzman Pintos @guzmanpintos]

new from the tenki startup program: @TryBrowzer, by @RahulKumaran4

connect a repo and it writes your docs, guides and changelogs, then re-heals them on every merge. docs that don't rot.

program's open and rolling: https://t.co/17SZML2DuK

[Dabl Club🦞 @dablclub]

@gregosuri @akashnetAI October 4th

[Greg Osuri 🇺🇸 @gregosuri]

Now that we have over 500 billion tokens processed on @akashnetAI this month

When will https://t.co/9Lmqv5vH1H cross trillion tokens a month?

Reply with a date. Closest answer wins 1000 $AKT.

LFG 🚀