🇺🇸 SEATTLE WOMAN BLINDED BY CAREER CRIMINAL WHO HAD 8 ARRESTS THIS YEAR ALONE This is what “criminal justice reform” looks like in Seattle: On Dec 5, 2025, 42-year-old Fale Vaigalepa Pea attacked Jeanette Marken, a completely innocent elderly woman, outside the King County Courthouse. Marken was standing near the courthouse earlier this month, waiting to cross the street, when Pea allegedly approached her from behind and struck her in the head with a wooden board. She’s now permanently blind in one eye, with a shattered cheekbone and broken nose. And the kicker? Her attacker had eight prior arrests in 2025 alone, all for violent and criminal behavior… and he still kept getting released. He’s been on law enforcement’s radar since 2011 and been through the system repeatedly. And yet, somehow, he was walking around free, ready to ruin another life. Marken’s son, Andrius Dyrikis, is demanding to know why the system protected him instead of the public, and honestly, we all should be. Now Pea is finally being held on $1M bail for first-degree assault, but it took a brutal, life-altering attack to get there. How many more innocent people have to suffer before cities like Seattle admit that “restorative justice” is just a PR slogan, not public safety? Source: IJR, The New York Post, @AmericaPapaBear

Leftists use pathos to override logos in order to push their activism. The “pity play” is a common form of this. It disarms you by flooding you with pity, guilt, & moral urgency so your judgment and discernment never gets a chance. Cue the crying child, or the one-sided history. Then comes the demand: accept the leftist moral frame and the activism that follows. If you resist, the label is not just an insult. It’s a social activation switch, greenlighting attacks on you: “racist,” “hateful.” The point is to mobilize bystanders, raise the social cost of saying no, and make you the example so others learn that compliance is the price of staying “decent.”

Still can’t believe this happened … ❤️🖤🩶🤍 https://t.co/XuK3YTyLlo

Starlink's high-speed, low-latency internet is now available in the Cayman Islands! 🛰️🇰🇾❤️ → https://t.co/ebhreaCiw5 https://t.co/OshXvW7kv6

ELON MUSK: WE WANT TO HAVE EMPATHY THAT IS DEEP, NOT SHALLOW we want to have empathy for our fellow humans. I strongly believe we should care about humanity and we should care about the future. But we need to have empathy that is deep, not shallow Shallow empathy is caring about criminals, but deep empathy is caring about the victims of the criminals. Why do we have repeat violent offenders released on the streets, often with no bail? It's crazy. And they prey upon innocent people. Then our streets are not safe

Custom instructions, https://t.co/OxVZGa4DEg files, rules, and now skills… when to use what or all: best breakdown so far: https://t.co/UOqLkeeAOW #vscode #githubcopilot

Custom instructions, https://t.co/OxVZGa4DEg files, rules, and now skills… when to use what or all: best breakdown so far: https://t.co/UOqLkeeAOW #vscode #githubcopilot

Timothée Chalamet has become the first person to appear on top of The Sphere in Las Vegas https://t.co/W9pwhKzlR4

Wild. By far the most complete Claude Skills repo yet 🤯 @Composio’s Awesome-Claude-Skills packs 100`s of ready-to-use workflows: ↳ PDF tools, changelog generation ↳ Playwright automation ↳ AWS/CDK tools, MCP builders ... and much more! Free and open-source. Repo in 🧵↓ https://t.co/kJhZHLU5OA

How to inject Higher Order Instructions for Claude Code: - Allows for Agent Personas (Planner, Build, QA etc) - Allows for Partner Agent approach that can think on higher level - System instructions have stronger adherence For injecting the instructions at runtime, use this command: claude --append-system-prompt "$(cat ./PARTNER.md)" The Claude .md files is passed as a user message with <system-reminder> tags and is re-injected after compaction, which overall allows drift in my experience I have seen huge performance improvements in instruction following by using the Higher Order approach - just make sure to keep it lean and following the prompting guidelines for Opus 4.5

I wrote about how I've been having a ton of fun cooking with LLMs recently - including having Claude take a photo of two recipe cards and vibe-code me up a custom timer application to help me prepare two meals at once https://t.co/qK5fvtF9FG

Claude Code plugins now support LSP servers. LSP (Language Server Protocol) gives Claude real-time code intelligence while working on your codebase. Before: Claude had to read files, run type checkers, and piece together error messages to understand what's broken. Now with LSP: Claude gets instant diagnostics, knows exactly where errors are, can jump to definitions, and sees type information in real-time. For teams: Package your LSP configs in a plugin and publish to your internal marketplace. Your team gets the same code intelligence setup without individual configuration. One person sets it up, everyone benefits.

🚀 42.55x Speedup! LightX2V delivers Day 0 support for @Alibaba_Qwen new Qwen-Image-Edit-2511! 🔥 47% framework speedup ⚡️ CFG+4-step distillation (↓25x compute) 📈 42.55x total acceleration Repo: https://t.co/SATQr3KA7m Model: https://t.co/ik3MVMnrQK https://t.co/4jqPXaao9F

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How can you tell if the stated caffeine dose on an energy drink is right? I made a video showing how I measured the concentration myself at home! And for this test beverage, the estimate (144.1 += 19.6mg) lines up perfectly with the label's 150mg 😀 https://t.co/FK83gKhwfE https://t.co/TqrfsqouWu

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Are LLMs any good for web API integrations? While we see a lot of fancy demos, the reality is that LLMs still largely struggle with web API integrations. The default assumption is that code models can handle API calls reliably. After all, they excel at general code completion tasks. But web APIs have unique challenges that break this assumption. This new research introduces WAPIIBench, a benchmark for evaluating LLM-generated web API invocation code across four real-world APIs: Asana, Google Calendar, Google Sheets, and Slack. None of the evaluated open-source models solved more than 40% of tasks. Even when given the correct endpoint, models still generated 6-31% illegal arguments. URLs get hallucinated 14-39% of the time. Why is this so hard? Web API invocations differ from regular function calls in critical ways. Operations are identified by HTTP method plus long URL strings, not simple function names. Multiple argument lists exist across body, header, and query locations. Parameters have complex nested data types. And API specifications are documented externally, limiting what models can memorize. The researchers propose a solution: constrained decoding. They automatically translate OpenAPI specifications into regex-based constraints that filter token predictions during generation. The constraints enforce compliance with API specs without requiring model modifications or prompt adjustments. Constrained decoding improves correctness by 90% on average for full completion and 135% for argument completion. Illegal URLs, methods, and arguments drop to zero. Models that previously generated zero executable code now achieve similar rates to other models. Great read for AI devs. Paper: https://t.co/OXFKJRMmJc Learn to build effective AI agents in our academy: https://t.co/zQXQt0PMbG

Santa receives thousands of letters every year—Processing these manually takes a lot of time, so this year, we're helping him out 👇 We built an agent to automate extracting wish-list items from letters 🎅 📤 Upload to LlamaCloud ✂️ LlamaSplit categorizes pages into logical segments (letters vs. index pages) using AI-powered document understanding 📋 LlamaExtract extracts structured data from each child's letter—name, age, wishlist items, address, and whether they've been good or bad (using Pydantic schemas for type-safe extraction) 🔄 LlamaAgent Workflows orchestrates the process with a fan-in pattern: split the document into segments, then extract data from each letter segment in parallel The result? Transform a messy multi-page PDF into clean, structured JSON for every child's wishlist—automatically handling document segmentation, parallel extraction, and data validation. Try it yourself in this Colab notebook: https://t.co/TbLLah1BV5

MiniMax M2.1 is a SoTA 10B-activated OSS coding &amp; agent model, scoring 72.5% on SWE-multilingual and 88.6% on our newly open-sourced VIBE-bench, exceeding leading closed-source models like Gemini 3 Pro and Claude 4.5 Sonnet. https://t.co/3mFEc57V6S

The secret sauce to get the most out of MiniMax M2.1 for complex agentic tasks is the interleaved thinking. It excels at integrating composite instruction constraints (as seen in OctoCodingBench), ready for office automation tasks. https://t.co/UxAEzfvRan

I was also testing it for designing websites. The aesthetics are much nicer than what I get with Gemini 3 Pro. More examples of this soon. Stay tuned! M2.1 docs here: https://t.co/YdCOkaAbo2 Check out my deep research agent here: https://t.co/6oCi8ig6At

DataFlow An LLM-Driven Framework for Unified Data Preparation and Workflow Automation in the Era of Data-Centric AI https://t.co/SbPUMOIvnA

The Prism Hypothesis Harmonizing Semantic and Pixel Representations via Unified Autoencoding https://t.co/iNjvF1Z41i

Region-Constraint In-Context Generation for Instructional Video Editing https://t.co/T0Th0WTaCp

Qwen-Image-Edit-2511 is out on Hugging Face https://t.co/rKveDT8bfk

app: https://t.co/C3eUAPqaGR

We’ve teamed up with @XSquareRobot to integrate WALL-OSS, a powerful new VLA foundation model into LeRobot!

@natolambert Ha, we have a pretty similar desk setup it seems 😆 https://t.co/3gDAFETMOJ

Manus Projects Just Got Smarter with Connectors. You can now link your essential personal tools, such as Gmail, Google Drive, Notion, GitHub and more, directly into any project. Custom APIs are also supported. https://t.co/Cxw9ahmlCG

Thousands of builders signed up for Manus Academy (Early Bird) and many finished their certifications over the weekend! @hidecloud sat down with Annie @annieliao_2000 from @buildclub_ to unpack the mission behind Manus: extending human reach. Why we build Manus as an Action Engine, not a Q&A chatbot, and why democratizing access matters. 🎥 Snippet below. Learn by doing. Join the free Manus Academy 🧵

Woo! Super pumped to try and grab my free credits too hehe https://t.co/3aXN6zHEjq

ELON MUSK EXPLAINS WHY 𝕏 IS BECOMING THE ULTIMATE PLATFORM FOR TRUTH Something is broken in modern journalism Legacy media was built for a world where information had to be centralized, filtered by editors, printed on paper, and distributed to the public That world no longer exists Today, anyone can access information instantly. We no longer need a handful of editors deciding what matters and what does not This is why 𝕏 represents the future It enables citizen journalism, news by the people, for the people What makes this moment transformative is simple The public now decides the narrative The public decides what matters Legacy media concentrates power at the top Citizen journalism distributes it to everyone That shift is fundamental And it is why Elon encourages people to write, share, and report directly on 𝕏 Journalism is not dead It is being rebuilt by the public