Matt Palmer created a custom automation using Grokbot to automatically print a personalized daily schedule, to-do list, and journal template every morning. Inspired by Karen Cheng's morning newspaper project, Palmer wanted to minimize digital distractions first thing in the morning by bringing his online schedule, workouts, and bookmarks into the physical world. - Palmer used Grokbot to prototype a minimalist, Apple-inspired layout for his daily schedule, affirmations, and journaling space. - He connected his Brother printer to his local network and configured Grokbot to execute commands and route traffic through his Mac. - Palmer utilized existing Grokbot automations that already had access to his Google Calendar, X bookmarks, and workout routines. - An automation is set to run every morning at 6:45 AM, printing out his personalized daily brief for offline reflection.

In this clip from the All-In Podcast, the speaker warns about the growing economic danger posed by rapidly rising interest rates driven by high federal government spending. Beyond creating financial burdens for consumers needing loans for homes, cars, or everyday purchases, the surging yields pose a severe risk to the banking sector. Upcoming quarterly financial disclosures could create a broader economic shock as numerous lenders reveal substantial balance sheet impairments right before the election. - Short-term Treasury rates rose roughly 60 basis points in a month, sharply raising borrowing and refinancing costs for typical consumers. - The surge in interest rates is fundamentally attributed to excessive federal government spending. - Analysis of FDIC balance sheet data indicates that roughly 95 banks could report equity impairments exceeding 20 percent. - The revealing financial reports are set to be released on October 30, potentially sending shockwaves through the financial system right around the election cycle.

Developers using AI models through routing platforms often notice unexpected drops in output quality, reasoning, or tool-calling performance, leading to frustration and the mistaken belief that models have been "nerfed." However, an investigation reveals that these issues usually stem from marketplace dynamics—specifically, how routers prioritize inference providers based on price, which can inadvertently route requests to lower-quality quantized model versions or endpoints with inadequate context windows or disabled tool-calling support. - Routing platforms use inverse square weighting based on price, meaning cheaper inference providers are disproportionately more likely to be selected for API requests. - Many endpoints on routing networks serve quantized model weights (such as 4-bit versions), which can result in degraded performance for certain prompts compared to the original unquantized weights. - Accuracy gaps across providers are real, as benchmarks show significant performance variations for the exact same model running on different inference endpoints. - Features like Exacto and Auto Exacto help mitigate routing issues by filtering endpoints based on tool-calling reliability and other performance metrics rather than price alone. - Developers experiencing unexpected model degradation can inspect OpenRouter's activity log to identify which specific provider served a request and adjust request parameters to pin preferred providers.

In this video, the creator shares some of the weirdest commercials by Microsoft in the 1990s. The creator looks at 90s commercials starring Jennifer Aniston, Matthew Perry, and Steve Ballmer. - Most of Microsoft's commercials were weird and funny. - Some of the commercials featured Steve Ballmer, Bill Gates, Jennifer Aniston, and Matthew Perry. - Some of the 90s commercials made fun of Linux. - One Microsoft commercial was abandoned because of the September 11, 2001, terrorist attacks in the U.S.

This video demonstrates how to create a custom Claude Code agent that models the thinking, coding, and

Anthropic recently updated its guide for writing skills in Claude 5.5 models, introducing new best practices that improve performance and save tokens. The video covers 10 new rules for skill authoring, ranging from structural patterns like progressive disclosure and content lists to operational strategies like degrees of freedom, testing, feedback loops, and hooks. - Keep main SKILL.md files under 500 lines and link reference files directly to optimize token usage and context windows. - Include a table of contents at the top of any reference file longer than 100 lines so Claude can jump directly to the needed section. - Match degrees of freedom to task risk by using high freedom for creative brainstorming, medium freedom for templates, and low freedom for strict scripts. - Implement clear checklists, workflows, and feedback loops (run, fix, repeat) to prevent Claude from skipping critical steps in multi-step tasks. - Use pre-tool hooks for high-stakes rules that must never be broken, ensuring automated validation runs before sensitive commands execute.

In this video, Dylan Lumus covers Tesla news including an impressive FSD maneuver by a Cybertruck, Elon Musk updating the memory specs for AI5 and AI6 chips, Tesla's Q3 2026 delivery numbers, and updates on the Tesla Robotaxi service in Austin and Dallas. - A Tesla Cybertruck with FSD enabled successfully navigated around an emergency vehicle by turning across three lanes into a safe area. - Elon Musk announced that Tesla is increasing the RAM for the AI5 chip to 96 GB and reducing the AI6 chip RAM to 144 GB to reduce costs and optimize production. - Tesla reported Q3 2026 deliveries of 486,532 vehicles, beating analyst consensus by over 24,000 units. - Tesla's Robotaxi service continues to expand and operate reliably in Austin and Dallas, even during bad weather conditions.