grok knows something you dont

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.

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.

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: tenki.cloud/docs/sandbox/anc…

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.

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.

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

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 🚀

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. drop them in once. say "summarize my notes on Karpathy" — the right skill fires on its own. no config. Claude → Obsidian Skills → Second Brain → Effortless

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 - FDE eval-driven development 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 ↓

Opensource AI won today

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 context rot." in a 20-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!

Omg.. this can't be true... I kept building AI agents on my eventually list because everything I read made it sound like a six month project requiring a technical background I did not have. One Reddit thread changed that by saying the one thing nobody had said clearly: pick the smallest possible problem and finish it completely before you try to build anything impressive. MY ARTICLE IS THE CLAUDE CODE VERSION OF THAT LESSON. Working agent - Under one hour - Zero coding. Full guide below.

Still the best 2 hours on AI ever recorded, Andrej Karpathy showing how he actually uses it on a daily basis: 18:03 - Which model to actually use 22:54 - When thinking models are worth it 42:04 - One prompt to a full research report 59:00 - Make the model run code for you 1:53:29 - Make it remember you across chats Most people use 10% of what these models can do, this is the other 90%. I took everything he covers and turned it into a guide of Claude features almost nobody knows about. Watch him first, then go to the article below, everything shown plainly, ready to use right away.

New skill: /apple-design Apple’s WWDC videos are a goldmine of knowledge. I’ve combed through my favorite ones and came up with 17 design and motion principles. Use them to review existing work or when working on something new to get it right. github.com/emilkowalski/skil…

We scaled to $3.5M ARR in less than 1 year. No one wants to hear this, but there’s no magic distribution channel. We scalled by testmaxxing every channel depending on our MRR level. €0 → $6k MRR: pure outbound. Cold email plus LinkedIn, using our own early product on ourselves. No brand, no audience, just us reaching out to people showing intent and starting conversations. Ugly, manual, effective. $10k → $25k MRR: Reddit. Our first real acquisition breakthrough. We posted educational breakdowns in SaaS subreddits and did 10M+ organic views. The traffic quality wasn't amazing, but the volume was so huge it flooded our trial funnel for months. Cost: basically zero. $25k → $75k MRR: content plus free blueprints. We went all-in on LinkedIn content, YouTube, motion-design videos, and giving away our internal systems as free "blueprints." Content got the reach, the blueprints earned the trust, and a chunk of readers converted. This is where founder-led content started compounding. $75k → $150k MRR: partnerships and X. We added Twitter, B2B influencers, sponsored newsletters, and a lifetime affiliate program that became a major lever. We also joined YC around here, and the intensity went vertical. $150k+ MRR: paid and hiring. Meta ads, Google ads, influencer agencies, and hiring seriously for the first time, growth, sales, engineering, product. None of these stages replaced the last one. They stacked. Outbound never stopped. Content never stopped. We just kept adding the next lever once the current one was clearly working. If you take one thing from this: don't chase five channels at once. Beat one until it works, then add the next.

My top open source repos: 1. Mission Control self-hosted AI agent orchestration dashboard tasks, multi-agent workflows, spend, governance 5.7k stars github.com/builderz-labs/mis… 2. awesome-hermes-agent curated skills, tools, integrations, and resources for Hermes Agent 4.6k stars github.com/0xNyk/awesome-her… 3. council-of-high-intelligence 18 AI personas deliberate hard decisions across multiple LLM providers 3.4k stars github.com/0xNyk/council-of-… 4. xint X intelligence CLI for search, monitoring, analysis, and engagement github.com/0xNyk/xint 5. marketing-dashboard open-source marketing ops control center for AI agent teams github.com/builderz-labs/mar… 6. awesome-agent-cortex sovereign agent stack for memory, identity, and agent ownership github.com/0xNyk/awesome-age… the thesis is simple: agents need infrastructure, not more demos. Follow @nyk_builderz for the daily build in public.

48 HOURS AFTER KARPATHY POSTED HIS LLM WIKI IDEA, A 26-YEAR-OLD BIRMINGHAM GRAD SHIPPED THE ONE COMMAND THAT MAKES IT WORK. IT NOW HAS 76,000 GITHUB STARS 1 command. 71.5x fewer tokens per query. 0 vector databases points graphify at any folder - codebase, docs, PDFs, screenshots, video. Tree-sitter parses the code, Claude reads the prose, the whole thing lands as a knowledge graph in graphify-out/ one flag - --obsidian - writes the entire graph as a fully-linked Obsidian vault: one markdown note per concept, every relationship a wikilink, every node linked back to its source. Drop the vault into Claude Code as a skill. Claude queries the graph instead of grepping through raw files, forever Safi Shamsi finished his MSc at Birmingham with Distinction in 2025. His thesis was a knowledge-graph RAG system for academic search. He shipped Graphify 48 hours after Karpathy's post, iterates every week, and has already been forked by Rootly AI Labs for incident data. Hacker News, Analytics Vidhya, Towards AI - all organic.76,000 stars. Three months old no neo4j server. no vector db. no embedding pipeline. no cloud. no monthly fee you're reading this on a device that could clone the repo, run one command, and have a Claude-native knowledge graph of your entire codebase in Obsidian before your next standup

Introducing Loopany 🔁 Stop prompting, Design the loop. A loop management space that connects to your team’s own local agents: - Scaffold loop contracts, state, and logs - Add programmable triggers - Run self-improving cycles - Start from built-in loop templates We baked in everything we’ve learned from running loops inside our own team. Free and open source. Keen to hear your feedback: github.com/superdesigndev/lo…

GPT-5.6 Sol is unbelievably good at creating and editing videos. It can do motion design, product demos, and animations like this one I made by simply giving it a screen recording. GPT 5.6 has the best design taste and significantly outperforms Fable, which relies heavily on repetitive design patterns. To help you experiment with video editing on it, we just launched a collection of 100 ready-to-use skills that show what’s possible and help you get started with video editing using GPT-5.6. These skills can create anything from motion graphics launch videos for your product to a 3B1B-style science explainer video. You can also use them to edit existing videos: add captions, generate motion graphics, create voiceovers, redesign visual styles, translate into new languages, and much more. If you want access to the full library, comment “VIDEO SKILLS” and I’ll share it with you. (You'll have to follow me so I can DM you.)