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Sendor

@sendoralpha

All Tweets are NFA | Trench Warrior | 🎢

Solana Katılım Mayıs 2023
1.5K Takip Edilen833 Takipçiler
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Sendor
Sendor@sendoralpha·
We are cooking Mfers. Soon we’ll break free.
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Sendor@sendoralpha·
GM Mfers 👽🔥💨
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beeple
beeple@beeple·
ETHEREUM
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Alex Finn
Alex Finn@AlexFinn·
Today is a great day Another U.S. based company entered the local AI race Thinking Machines released Inkling, an open source model that BEATS GLM 5.2 in a lot of ways China has DOMINATED the open source AI space. Now Thinking Machines + Nvidia is taking them on Right now you need some pretty serious hardware to run this model Smaller quants will be coming soon which will allow you to run this on a single Mac Studio In the meantime I HIGHLY recommend you get prepared for better/smaller local models coming soon Go to your Hermes/OpenClaw. Ask it to look at your hardware specs. Have it recommend models you can run today. Have it load the models. Local AI is a train you will not be stopping anytime soon. Especially now that America has entered the race 🇺🇸
Thinking Machines@thinkymachines

Today, we are introducing Inkling. Inkling reasons efficiently across text, image, and audio modalities. We are making the full weights available. thinkingmachines.ai/news/introduci… Available today for fine-tuning on Tinker. Play with it in the Inkling Playground. 🧵

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SpaceXAI
SpaceXAI@SpaceXAI·
We've open-sourced Grok Build and have reset usage limits for all users. Open sourcing Grok Build allows anyone to support making a reliable and robust harness. Check out our code, including the Git repo for the Grok Build CLI. x.ai/open-source
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MIKE
MIKE@mikenevermiss·
Andrej karpathy gave one of the clearest explanations of why building AI agents is much harder than most people think. in an article about building AI agents, he says: “you should be in it for a decade.” in a 6-minute talk, he explains how AI agents went from struggling with simple web tasks in 2016 to what they can do today. here’s what he covers: - why AI agents kept failing in 2016 - why building a real AI agent takes years, not a weekend - how the human brain inspired better AI agent design - why independent developers are now building some of the most impressive AI agents, not just the biggest AI companies if you want to understand how modern AI agents actually work, this article is worth reading.
Avid@Av1dlive

x.com/i/article/2076…

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Anatoli Kopadze
Anatoli Kopadze@AnatoliKopadze·
Anthropic engineer: "Fable 5 is already smarter than we know how to use. The bottleneck was never the AI, it's you." In 19 minutes he shows exactly how to get everything out of Claude with no extra tools, no extra costs. You're already paying for all of this, just not using it. Watch the session, then read the guide below on the Claude features 99% of users never find.
Anatoli Kopadze@AnatoliKopadze

x.com/i/article/2057…

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Sendor@sendoralpha·
GM 👽💨
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Charles
Charles@RealFRConnector·
Gm fam ☕️ Excellent feed and read this morning 🤙 Shout out Nikita and team Elon ✊ We are so back baby 🔥🔥🔥
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Sendor@sendoralpha·
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Sendor@sendoralpha·
Keep looping around 👽🔁🔁🔁
Alex Finn@AlexFinn

I did it. I figured out the perfect AI coding loop It's called the Finn Loop and it's 100x'd my vibe code output while cutting the work I need to do down by 95% ANYONE can implement this. It's super easy. Here's how it works: 1. 3 new skills inside your coding agent. /spec, /build, /review 2. You start out with /spec "your idea". The skill then asks you enough questions to fully understand your idea in detail then create a detailed spec inside Linear (amazing project management tool. Very generous free tier) 3. In another Codex/Claude Code session: you have a /build loop running. Once a spec is created, the /build skill picks it up and builds it out for you. Then advances the status of the issue in Linear 4. In another session, you have /review loop running. It picks up every issue that is built out then reviews it. Checks for security issues, optimization issues, then tests the code in its own browser, lays out test steps, takes screenshots, creates a PR, and puts it in its own vercel test sandbox for you to test it 5. The review loop then takes all of that and pings you in a channel in your favorite messaging service. I use Slack for this. It shows you the PR, gives you all the testing steps, and executive summary of the changes, and a link to the Vercel sandbox where you can test it 6. You go to the message in Slack, review the change, then send a rocket ship emoji as a reaction. This signals to the loop that the PR should be merged. The only manual steps in this loop are you submitting an idea to your agent, and verifying the change at the end. Everything in between is automated in the loop. Your vibe coding workflow today is hand holding your agent step by step on everything you build. You spend all day doing this. Your vibe coding workflow when using the Finn Loop is you wake up, make a cup of coffee, give your agent a list of ideas, then come back at night and review all the changes. You're free to do whatever you want during the day. Let me know if you want my full spec, build, and review skills. Will release them soon. Will also film a tutorial video on this. There's also a ton more details I'll share shortly too, like the interface I built for monitoring all of this. You also can probably just send this tweet to your agent and it will recreate the Finn loop for you. Carve off some time and try this out today. I promise it will dramatically improve your workflow

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Sendor@sendoralpha·
🧠
Miles Deutscher@milesdeutscher

One of the smartest things you can do with Fable 5 right now: Re-create your AI second brain to log all your business ideas, personal context, and important data. The first time I built an AI second brain was with Opus, but I recently re-created it with Fable 5, and it blew my mind. Here's exactly how to get started: Step 1. Set up your Obsidian vault Download Obsidian from Obsidian dot md if you haven't already. Then, go ahead and create a clean vault with your most important folders. For example: /ideas → business ideas, content angles, random thoughts /context → who you are, your business, your goals, your stack /data → important numbers, portfolios, metrics /log → daily entries, decisions, lessons learned This is your database. Everything Fable reads lives here. Step 2. Connect Fable 5 to your vault I like this Claude Code prompt: "/goal connect to my Obsidian vault at [path] and act as my second brain orchestrator. Read everything in /context before every session. Log anything new I tell you to /log with today's date." Fable now reads your vault before it answers anything - it knows your business, your goals, your history. Step 3. Build the self-update habit Every time you have an idea, a decision, or a lesson, tell Fable: "Log this to my second brain: [thought]" Step 4. Start querying it You can start sending prompts like: → "What are the most common themes across my last 30 ideas?" → "Based on my context, what should I be prioritising this week?" → "What decisions have I made about my content strategy so far?" Opus was good at this, but Fable is on another level. I feel the depth of reasoning it brings to your data is genuinely unlike anything I've used before. Some might argue it's a bit of overkill to use Fable for a simple second-brain setup, but if you have the means, it's 100% worth it. Build this once, and it'll compound forever.

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