Dabl Club🦞 retweeted
Drinks on Architect, Luxor, and CMT for @Supercomputing SC26 on 11/17! Come hang out and share ideas on inference and compute trading. luma.com/ComputeCocktai…
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Dabl Club🦞 retweeted
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.
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.
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Dabl Club🦞 retweeted
I recreated subvocal in 9 minutes with one prompt for AirPods Pro 3.
Source: github.com/joeblau/subvox
Source: github.com/joeblau/subvox
We’ve raised $1.3M from YC & Afore Capital so you never have to type or speak again.
Typing is slow. Talking into your computer is awkward. Subvocal fixes both
Our glasses give you the speed of speech without you making a sound or touching a keyboard.
It tracks your internal speetact sensing and decodes silent, almost invisible mouthing into text at more than 200 words/min.
Pre-orders are now live at:
subvocal.co/preorder?utm_s…
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Dabl Club🦞 retweeted
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: felixrieseberg.com/hunger-beats-t…
I have a spicy, optimistic take - I think there's an opportunity for junior engineers: felixrieseberg.com/hunger-beats-t…
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Dabl Club🦞 retweeted
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 hs
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.
• 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 hs
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.
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Dabl Club🦞 retweeted
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.
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.
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 hs
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.
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Dabl Club🦞 retweeted
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
tenki.cloud is built for elastic compute. Workloads can grab burst CPU on demand, at any scale
Perfect for AI agents, RL rollouts, evals, and CI: idle to all cores in seconds
250 sandboxes (500 vCPU and 1 TiB of RAM) provisioned in ~1s and destroyed in ~500ms
tenki.cloud is built for elastic compute. Workloads can grab burst CPU on demand, at any scale
Perfect for AI agents, RL rollouts, evals, and CI: idle to all cores in seconds
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Dabl Club🦞 retweeted
tenki.cloud 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.
huge thanks to the @cursor_ai team for helping us ship it.
Origin, Cursor’s code hosting platform, now supports over 20 integrations.
Connect your repos to tools for CI, deployments, code review, security, monitoring, and project management.
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Dabl Club🦞 retweeted
grok knows something you dont
Akash Network is the most mature option. Launched in 2018 with mainnet in 2020, it runs a fully permissionless reverse-auction marketplace for CPU/GPU/containerized compute. Providers bid openly, settlement uses on-chain AKT or USDC that machines and agents can handle programmatically, and it has years of real lease revenue with no central gatekeepers.
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Dabl Club🦞 retweeted
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.
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.
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Dabl Club🦞 retweeted
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.
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.
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Dabl Club🦞 retweeted
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 nd never lands in the image or a snapshot.
Run: `tenki sandbox create --image tenki/anchor:stable`
Docs: tenki.cloud/docs/sandbox/a…
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 nd never lands in the image or a snapshot.
Run: `tenki sandbox create --image tenki/anchor:stable`
Docs: tenki.cloud/docs/sandbox/a…
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Dabl Club🦞 retweeted
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.
Censorship resistant training and inference is the only way to combat this enemy within.
JUST IN: California Gov. Gavin Newsom signs two AI safety bills regulating outside audits of AI systems, with backing from Anthropic & OpenAI.
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Dabl Club🦞 retweeted
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 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.
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 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.
We Must Pace the Frontier: I’ve written a new essay on why the AI industry should slow down, with a three-part plan for doing so.
Anthropic is unilaterally committing to the first of these steps. We’ll provide third-party evaluators with permanent, employee-level access to our systems, so that they can verify adherence to our safety measures, report on incidents, and assess models’ alignment during training.
You can read the full post here: darioamodei.com/post/we-must-p…
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Dabl Club🦞 retweeted
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: tenki.cloud/startups
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: tenki.cloud/startups
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Dabl Club🦞 retweeted
Now that we have over 500 billion tokens processed on @akashnetAI this month
When will akashml.com cross trillion tokens a month?
Reply with a date. Closest answer wins 1000 $AKT.
LFG 🚀
When will akashml.com cross trillion tokens a month?
Reply with a date. Closest answer wins 1000 $AKT.
LFG 🚀
AkashML processed over 536 billion tokens in August, our biggest month ever
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Dabl Club🦞 retweeted
THE CEO OF OBSIDIAN JUST DROPPED HIS OWN CLAUDE SKILLS.
44,500 stars. 3k forks. free.
Save this before you forget. Your Claude will work differently.
Written by kepano — the guy who built Obsidian. so they respect the real formats: Markdown, Bases, JSON Canvas, wikilinks.
"summarize my notes on Karpathy" — the right skill fires on its own. no config.
Claude → Obsidian Skills → Second Brain → Effortless
44,500 stars. 3k forks. free.
Save this before you forget. Your Claude will work differently.
Written by kepano — the guy who built Obsidian. so they respect the real formats: Markdown, Bases, JSON Canvas, wikilinks.
"summarize my notes on Karpathy" — the right skill fires on its own. no config.
Claude → Obsidian Skills → Second Brain → Effortless
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Dabl Club🦞 retweeted
OpenAI pays $785K/year to developers who know how to apply Forward Deployed Engineering in AI.
in 40-minute talk, Head of FDE at OpenAI revealed full roadmap for how they actually use FDE internally:
• 10% → 2:46 - why Morgan Stanley was their first FDE case
• 30% → 9:05 - ment explained
• 55% → 16:01 - FDE live-demo: LLM rerouting a supply chain
• 80% → 24:33 - advice for founders building FDE teams
• 100% → 29:06 - the biggest FDE mistake they made this year
40 minutes replaces a $500 enterprise AI deployment course
bookmark & watch - then read how to become FDE engineer in article below ↓
in 40-minute talk, Head of FDE at OpenAI revealed full roadmap for how they actually use FDE internally:
• 10% → 2:46 - why Morgan Stanley was their first FDE case
• 30% → 9:05 - ment explained
• 55% → 16:01 - FDE live-demo: LLM rerouting a supply chain
• 80% → 24:33 - advice for founders building FDE teams
• 100% → 29:06 - the biggest FDE mistake they made this year
40 minutes replaces a $500 enterprise AI deployment course
bookmark & watch - then read how to become FDE engineer in article below ↓
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Dabl Club🦞 retweeted
Prime Intellect engineer:
"everyone's bragging about a million-token context. here's what they don't tell you.
at 256k tokens GPT-5.5 scores 80% on retrieval. push it to a million and it drops to 36%. the model accepts the context, it just can't reason across it. people call it minute talk he explains why bigger context windows won't save your agents.
continual learning + training on your own traces + real environments - that's the fix.
Watch the talk, then save!
"everyone's bragging about a million-token context. here's what they don't tell you.
at 256k tokens GPT-5.5 scores 80% on retrieval. push it to a million and it drops to 36%. the model accepts the context, it just can't reason across it. people call it minute talk he explains why bigger context windows won't save your agents.
continual learning + training on your own traces + real environments - that's the fix.
Watch the talk, then save!
Andrew Ng just dropped a free course on Claude Code from scratch, taught with the Anthropic team:
00:00 - why Claude Code is so agentic
04:00 - shockingly simple architecture
12:00 - point it at any codebase
this short watch will replace 10 paid coding agent courses.
Andrew Ng avorite coding assistant right now.
Watch it today, then read how to engineer your own agent loops in the article below
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