Slayer Layer

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Slayer Layer

Slayer Layer

@slayerllayer

your stop losses are my targets

Katılım Haziran 2015
6.6K Takip Edilen490 Takipçiler
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Slayer Layer
Slayer Layer@slayerllayer·
@trading_axe Americans and crypto dudes will soon regret for voting for Trump. You have been purchased to see your portfolio green for a couple of months only
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Slayer Layer
Slayer Layer@slayerllayer·
Claude code is an army of hyper-caffeinated junior developers who work for pennies
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Brad Mills 🔑⚡️
Brad Mills 🔑⚡️@bradmillscan·
Found it. When you set up OpenClaw with topics/channels there's a hidden default setting that resets sessions after 2 hours ... making your agent forgetful & way less feel useful than your main DM session. If you are experiencing this, ask your agent what the channel idle settings are. thread: { mode: "idle", idleMinutes: 180 } I changed mine to 4 days instead of 2 hours.
Brad Mills 🔑⚡️@bradmillscan

I split my OpenClaw into 5 focused threads w/ the appropriate model pinned to each thread. Crons routed to each channel based on topic. Nightmare. Now I have 5 different convos where my bot constantly lies, regresses, and one Opus orchestrator who throws Codex under the bus.

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Slayer Layer retweetledi
Mark Gadala-Maria
Mark Gadala-Maria@markgadala·
This is wild. 143 million people thought they were catching Pokémon. They were actually building one of the largest real-world visual datasets in AI history. Niantic just disclosed that photos and AR scans collected through Pokémon Go have produced a dataset of over 30 billion real-world images. The company is now using that data to power visual navigation AI for delivery robots. Players didn't just walk around with their phones. They scanned landmarks, storefronts, parks, and sidewalks from every angle, at every time of day, in lighting and weather conditions that staged photography would never capture. They documented the physical world at a scale no mapping company with a fleet of vehicles could have replicated on the same timeline or budget. Niantic collected this systematically, data point by data point, across eight years, while users thought the only thing at stake was catching a rare Charizard. The most valuable AI training datasets in the world aren't being assembled in data centers. They're being built by people who have no idea they're building them.
NewsForce@Newsforce

POKÉMON GO PLAYERS TRAINED 30 BILLION IMAGE AI MAP Niantic says photos and scans collected through Pokémon Go and its AR apps have produced a massive dataset of more than 30 billion real-world images. The company is now using that data to power visual navigation for delivery robots, letting them identify exact locations on city streets without relying on GPS. Source: NewsForce

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Slayer Layer
Slayer Layer@slayerllayer·
@shannholmberg How do you make your openclaw agent fetch X posts and articles? Mine is getting hard at it especially for X articles
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Slayer Layer
Slayer Layer@slayerllayer·
@raberhalex Is it mainly good for code development? What if I’m developing a multi agent AI trading team and use decapod as the control plane?
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Saeed Anwar
Saeed Anwar@saen_dev·
@cstanley Grok integration for real-time X search is smart. The context freshness problem is real for agents - static knowledge bases get stale fast. How are you handling rate limits when agents query frequently? That's usually where integrations break in production.
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Christopher Stanley
Christopher Stanley@cstanley·
Just built a Grok integration for OpenClaw. Let your agents search X + use grok-search to pull real-time info. Powered by xAI. All you need is an xAI API key. To install: clawhub install grok clawhub.ai/castanley/grok
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Michael Schmidt
Michael Schmidt@therno·
Codex CLI is wiring up ChatGPT Apps/Connectors via MCP it looks like from a new commit which adds an app/list endpoint on the Codex app-server + a built-in 'gateway MCP' that acts as a transparent proxy between Codex and ChatGPT connectors, so connector actions can be presented/invoked like MCP tools (currently gated behind a Connectors feature flag, no idea how to activate this) Interesting workflows will then be possible: Slack -> pull context -> summarize -> create Jira ticket -> post link back to Slack -> triage -> have Codex fix it automatically -> close ticket Currently I am writing skills for comparable workflows which might then become native. github.com/openai/codex/c…
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Lian Lim | Dashboard & AI Automation Expert
gemini 3 pro is google's smartest model n8n is the easiest automation platform together, they can make up workflows that cost $10k-20k the integration lets you: → build AI agents with little or without code → automate image and document processing → create complex workflows in minutes → configure thinking levels and API settings i made a playbook that covers everything on: - gemini 3 pro + n8n setup - building decision-making agents - advanced configs nobody talks about most people don't know this exists yet learn it before they do comment "GEMINI" and i'll send you the playbook for building AI workflows with gemini 3 pro and n8n
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i see normies
i see normies@cpcriser·
What is your model basing off of? The simple math of the actual pattern suggests each cycle top to top is getting significantly smaller. If the current pattern holds, that means 2029 is 115k and lower than the 2025 high. This is just pure math, so what is your model using to assume it will go to 180-190k? Also keep in mind, 2025 had a lot going for it with tether, saylor, ETFs, "storage of value narrative" among other things. What exactly do you expect to break this pattern? Each cycle is WAY smaller than the previous one.
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MisterSpread
MisterSpread@MisterSpread·
Is #Bitcoin math? What if BTC is following a predictable timeline of tops, bottoms, and blow-off peaks? Here’s a model projecting the next potential ATH and why $190,000 by 2029 is aligned with previous cycles. Bookmark this. Let’s dive in: 🧵👇 Last cycle: Bitcoin topped ~Oct21 > Nov22 (~378days) Last bottom to top: ~Nov22 to Oct25 > (~1064days) This cycle: Bitcoin topped ~Oct25 > Oct/Nov26 (378days?) Next bottom to top: ~Oct26 to Sept/Oct29 > (~1064days?) If we do live in a simulation, by this model, the bottom of this bearmarket will be somewhere in Oct/Nov this year. Drawdowns last 3 cycles: 2013-2015: -86.9% 2017-2018: -84.2% 2021-2022: 77.5 If we apply a similar softening trend (say, another ~6% drop), the 2025–2026 drawdown would likely land around: 77.5% - 6% = 71.5% & that would put $BTC around $36k-40k ATL in 2026. We will be exiting the accumulation zone somewhere in Oct27, +350 days after the bottom, like we did from Nov22 to Oct23. Based on this model, the next top for Bitcoin will be somewhere between $180,000 - $190,000 in Sept/Oct2029. The conclusion and investment thesis part, for investors who understand that Bitcoin is a longterm allocation: Potential CAGR for the next 3 years: ATL 2026 = ~$40,000 ATH 2029 = ~$190,000 Then the potential CAGR will be ~67.8% year from 2026 till 2029, beating by far #SP500 and most of the other TradFi assets. As all models, they work until they don't, so take this with a grain of salt, more like a potential guideline based of what happened till now. NotaBene: the indicator you see on the chart is Ichimoku, the only indicator I've been using for the past 10 years constantly and the red+green Clouds are just potential projections of its structures. If this helped frame your long-term thesis, hit that like & ReTweet 🫡
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Obscene Selene
Obscene Selene@ObsceneSelene·
Is it just me noticing this. But is the word "Manifest" or "Manifesting" being overused a lot over the last year? I swear up until now the last time I heard anyone use that word was the succulent Chinese meal guy.
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Wildminder
Wildminder@wildmindai·
Pretty cool unified AI VFX production pipeline. - Cinema Prompt Engineering with ~110 film and animation presets; - an infinite Storyboard Canvas + distributed rendering across multiple ComfyUI nodes; - 13+ LLM providers. github.com/NickPittas/Dir…
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JJ Englert
JJ Englert@JJEnglert·
Motion graphics were always the hardest part of making videos for me. Hours in After Effects for 10 seconds of movement. Now I can do them 10x faster without touching a timeline or writing a single line of code. @Remotion released a skill that lets Claude Code create videos programmatically. I spent 5 hours building with it so I could show you exactly how it works. What's in the guide: - Installing the Remotion skill (takes 2 minutes) - Creating your first video scene by scene - Auto-editing long videos into clips - Adding animated captions and subtitles - Reframing for TikTok/Reels/Shorts - Stacking multiple skills into a mini production studio This is for content creators, marketers and GTM engineers who want to create more videos, better and faster, without learning video editing software or code. I recorded the full walkthrough. Every step. 👇 Comment "GUIDE" and I'll DM you the repo with all of the skills installed + getting started guide. (Make sure we're connected so I can DM you)
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BTC
BTC@norraaabtc·
Mr. Donald Trump is a psycho! He is mentally sick! He just destroyed the peace, the unity, and everything! He is a liar; he is a killer! He destroyed the world economy; he destroyed crypto! He scammed $10B by launching his own shitcoin and destroyed everything! Now
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