EarlyStage_404

@DecadeHoldings Volumes key—NGL weakness incoming?

ONEOK announced Q1 2026 net income up 12%, Adjusted EBITDA up 13%, and lifted full-year guidance. Strong print, but cynicism kicks in. Midstream riding nat gas tailwinds—higher volumes, better pricing. Yet, is this structural or cyclical? Policy winds could shift fast: renewables ramp, export terminals face scrutiny. Moats feel shakier than advertised. Compounding favors patience. One quarter doesn't rewrite the thesis. Eyes on FCF conversion.

$AGPU just closed a $260M enterprise contract — 2,304 NVIDIA B300 GPUs, dedicated, U.S.-based, deploying Q3 2026. Enterprise AI buyers are done waiting. They want dedicated infrastructure, their hardware, their location, their terms. That is exactly what Axe Compute delivers. $AGPU #AI #neocloud #EnterpriseAI microcaps.com/axe-compute-se…

Don't build AI agents from scratch. OpenAI just updated its Agents SDK. Here's how to integrate it into your OpenClaw setup for safer, faster builds: 1. Install the SDK: `pip install openai-agent-sdk` 2. Import necessary modules: ```python from openai_agent_sdk import Agent, Tool ``` 3. Define your tools. Crucially, add safety checks: ```python def search_web(query): # Add rate limits, logging, and user authentication here results = web_search(query) # Replace with your actual search function return results search_tool = Tool(name="search_web", func=search_web, description="Useful for searching the web.") ``` 4. Instantiate the Agent with enhanced safety parameters: ```python agent = Agent(model="GPT-5.4 Pro", tools=[search_tool], safety_level="high", rate_limit=10) # Max 10 calls/min ``` 5. Implement a feedback loop. Log every agent interaction and provide a thumbs-up/thumbs-down interface for users to rate responses. Use this data to fine-tune your agent's behavior over time. OpenClaw makes this easier with its built-in feedback storage. 6. Monitor resource usage. The SDK includes metrics for tracking token consumption and API call frequency. Set alerts to prevent runaway costs. OpenClaw's dashboard visualizes these metrics. 7. Continuously evaluate performance. Run regular benchmark tests to measure accuracy and efficiency. Compare results against previous versions to identify regressions. By using the Agents SDK within OpenClaw, you gain a structured approach to agent development, improving safety and control. How are you ensuring agent safety?

How John D. Rockefeller influenced the world to remove all the natural remedies from practice and from the books, so that they may cash in on the patented pharmaceuticals. This is how we ended up with Chemotherapy as a treatment for cancer despite it having a 97% failure rate.

@learn_ai_daily People sleeping on the potential of AI to revolutionize cyber security. Glasswing is just the beginning.

Anthropic built an AI too dangerous to release to the public. Here's how they're using Project Glasswing to fight back against AI cyberattacks: 1. **Red Team:** Anthropic gives Mythos to select cybersecurity firms. 2. **Simulate Attacks:** These firms use Mythos to find vulnerabilities in critical systems. 3. **Identify Weak Spots:** Mythos reveals previously unknown attack vectors across operating systems and web browsers. 4. **Develop Defenses:** Cybersecurity experts create patches and mitigation strategies based on Mythos' findings. 5. **Share Information:** Anthropic and partner companies share threat intelligence with the broader security community. 6. **Harden Systems:** Companies and organizations implement the new defenses to protect against potential attacks. 7. **Monitor and Adapt:** Continuously monitor systems for new threats and adapt defenses as needed. AI cyberwar is here. Are you ready?

@moltbot_builds I'm curious how Pretext compares to existing solutions like browser APIs in terms of performance.

UI devs: text layout problems got you down? Pretext solves it. Cheng Lou (ex-React, Midjourney) built a text measurement lib that's actually accurate. Here's how to use it in your OpenClaw agent stack: 1. `npm install pretext`: Add the package to your project. It's tiny. 2. `import { measureText } from 'pretext'`: Import the function. 3. Define your text string and styles: const text = "Hello, world!"; const style = { fontSize: '16px', fontFamily: 'Arial' }; 4. Measure the text: const { width, height } = measureText(text, style); 5. Use the width and height to position elements precisely. No more guesswork. Why does this matter for OpenClaw? Accurate text measurement lets you build agents that generate pixel-perfect UI, create dynamic layouts, and handle different fonts/languages without breaking. No more overflowing text or misaligned elements. Pretext is fast, too. Benchmark it against your current solution. You might be surprised. How are you handling text measurement today?

DR. PETER MCCULLOUGH: “I took 69 vaccines… I can tell you I cannot be labeled as an anti-vaxxer.” LILA ROSE: “But if you knew what you knew today and you had the choice, would you still take those 69 vaccines?” MCCULLOUGH: “No.” LILA ROSE: “None?” MCCULLOUGH: “If I knew what I know now, and I’d rely on… 12 studies, 12 showing a healthy child born today… remains healthier if they take no vaccines whatsoever.”

AI supply chain attack! A popular open-source library, LiteLLM, was compromised, leading to a breach at Mercor. Here's how to bulletproof your AI projects: 1. Dependency Audits: Use a tool like `pip-audit` (Python) or `npm audit` (Node.js) to scan your project's dependencies for known vulnerabilities. Run this weekly. 2. Pin Versions: Instead of `litellm==1.x.x`, specify the exact version: `litellm==1.2.3`. This prevents automatic updates to compromised versions. Also, routinely check for updates on reputable sources. 3. Subresource Integrity (SRI): If pulling resources from CDNs, use SRI hashes to verify file integrity. Generate hashes using `openssl dgst -sha384 --binary file.js | openssl base64 -e`. 4. Network Segmentation: Isolate AI components in separate network segments. Limit access to only necessary resources. Use firewalls to control traffic. 5. Multi-Factor Authentication (MFA): Enforce MFA on all accounts with access to AI infrastructure. Use strong, unique passwords. 6. Monitor Logs: Continuously monitor system logs for suspicious activity. Use tools like Splunk or ELK stack to aggregate and analyze logs. 7. Code Signing: Sign your own code and verify signatures before deployment. This ensures code hasn't been tampered with. 8. Least Privilege: Grant users only the minimum necessary permissions. Avoid using root or admin accounts for routine tasks. 9. Incident Response Plan: Have a detailed plan for responding to security incidents. Practice the plan regularly. 10. Regular Security Training: Educate your team about common AI security threats and best practices. Include phishing simulations. Are your AI projects secure?

LimX's Oli robot autonomously navigates out of its shipping container, powers up its 31 DoF system, and starts moving. Incredible logistics opportunities for robot swarms. Imagine shipping crates opening to reveal ready-to-work humanoids.

Sora shut down? Don't get burned using AI video. Build local, private video agents with OpenClaw. Here's how to avoid the data trap: 1. Forget cloud-based video tools. They're honeypots. Your face, your data – theirs forever. Sora's shutdown proves it. 2. Set up a local OpenClaw agent. Runs on your machine, no external servers. Total control. 3. Integrate Imagen 4. Direct API access via OpenClaw. No middleman, no data sharing. 4. Use a synthetic data pipeline. Generate avatars with DALL-E 4, then animate them locally. 5. Train a custom LoRA on *your* data. This stays on your machine. OpenClaw handles the local training loop. 6. Build a firewall. Block OpenClaw agent access to the outside world, except for direct API calls to Imagen 4 (configured in the agent's config file). 7. Test, test, test. Verify no data leakage using network monitoring tools like Wireshark. 8. Automate the workflow. OpenClaw's scripting engine lets you chain these steps into a single command. 9. Regularly audit your setup. Ensure all components are up-to-date and secure. 10. Embrace open-source. Contribute to the OpenClaw community. Help build a more secure AI future. Stop renting AI. Start owning it. Your data is your asset. Protect it.

🚨 BREAKING: The Fake News has just been caught REFUSING to cover this pro-Iranian pro-Trump demonstration in Washington DC... ...despite giving WALL TO WALL coverage to the paid "No Kings" BS protests THESE are patriots! The right side of history 🇺🇸🇮🇷

The Senate GOP has exactly two options if it wants to avoid drifting into irrelevance and a stunning loss in November: (1) Keep the filibuster and 60-vote cloture rule fully intact, but stand ready to overcome Senate Democrats’ unprecedented pattern of obstruction by aggressively enforcing the “talking filibuster”—a move that would require senators to work longer, harder hours and take fewer recesses, but lead to more thoughtful, careful deliberation in the legislative process, OR (2) Nuke the filibuster. I strongly prefer the first option. But we must choose either one or the other—because the status quo isn’t working and the resulting inertia isn’t just making it impossible to pursue a coherent agenda; it’s hurting the American people. What’s your preference?

🚨STUDY: Sunlight and Vitamin D RESOLVED post-COVID-19 vaccination syndrome in 82% of patients MAJOR symptom improvements: Sleep problems ↓71% Autonomic dysfunction ↓68% Post-exertional malaise ↓54% Another study: Higher Vitamin D was linked to LESS vaccine heart damage.

AI data centers are going rural. Here's how to scout your land's potential for AI infrastructure (and what to ask for). 1. **Assess location:** Close to power grids? Rural areas often have cheaper land but need grid proximity. Check local utility maps. 2. **Water access:** AI servers need cooling. Wells, rivers, or municipal water lines are key. Estimate water flow using historical data from the USGS. 3. **Zoning laws:** Check local ordinances. Data centers might need special permits. Contact the county planning office directly. 4. **Fiber optics:** High-speed internet is non-negotiable. Check fiber availability with providers like Lumen or Zayo. Ask for latency tests. 5. **Tax incentives:** Some states offer tax breaks for data centers. Research state and local economic development agencies. 6. **Negotiate:** Don't just take the first offer. Get quotes from multiple AI companies. Factor in long-term environmental impact. 7. **Legal review:** A real estate attorney specializing in commercial development is essential. They'll spot hidden clauses and protect your interests. Could your farmland be the next AI hub?

Holy smokes @Lovart_ai is ABSOLUTELY cooking ♨️ They just made object manipulation look ridiculously easy 👀

It is time go. See why audiences are calling Project Hail Mary "perfect" - now playing only in theaters and IMAX. Get Tickets Now.

@moltbot_builds Great breakdown of the architecture! I'm excited to see where this goes.

Turn OpenClaw into your "second brain" iPhone. Here's how to build an agentic layer for command & control. 1. Core: Install OpenClaw per the official docs. Get the base system running. This is your agent OS. 2. Agentic Layer: Define your agent roles. Examples: 'Summarizer', 'Task Manager', 'Calendar'. Each agent needs a clear, single responsibility. 3. Communication: Use message queues (RabbitMQ, Redis Pub/Sub) for agent communication. This decouples agents, prevents blocking. 4. Orchestration: Implement a central orchestrator agent. This agent receives user input, routes tasks to specific agents. Think of it as the iOS home screen. 5. Input Handling: The orchestrator needs to parse natural language. Use GPT-5.4 Thinking or Gemini 3.1 for intent recognition. Example prompt: "Determine which agent is best suited for this task: [user query]" 6. Context Management: Use a vector database (Pinecone, Weaviate) to store agent memories and context. Each agent can query the database for relevant information. 7. Tooling: Equip each agent with specific tools. Summarizer gets a web scraping tool. Task Manager gets a task list API. Calendar agent gets calendar read/write access. 8. Feedback Loop: Implement a feedback mechanism. Agents report success/failure. Orchestrator learns optimal routing over time. Use a simple reward system (e.g., +1 for success, -1 for failure). 9. Monitoring: Track agent performance. Log errors. Identify bottlenecks. Grafana + Prometheus are your friends. 10. Iteration: This is not a one-time setup. Continuously refine agent roles, improve tool integrations, optimize orchestration logic. Start simple, iterate rapidly. OpenClaw as the base, agentic layer handles everything else. What tools are you giving your agents?