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DeepSeek-V4-Flash-0731 debuts with an ECI of 153, comparable to GLM 5.2 and roughly midway between Opus 4.5 and Opus 4.6. It's the second strongest open-weights model available today, behind only Kimi K3.

RAG system that skips HTML parsing entirely! PixelRAG is an open-source visual RAG framework that renders documents as screenshots instead of parsing them into text. Most RAG pipelines start by converting HTML to text. Tables flatten into unstructured rows. Charts disappear. Layout context is gone before the LLM ever sees it. The paper measured this directly: HTML-to-text conversion accounts for 36.6% of retrieval failures on SimpleQA. PixelRAG skips that step entirely. It renders pages as screenshot tiles using Playwright, embeds those tiles with a fine-tuned Qwen3-VL-Embedding model, builds a FAISS index, and passes retrieved images directly to a VLM reader. No text abstraction in between. Benchmarked across six datasets against the strongest text-based baselines: - SimpleQA: 78.8% vs 71.6% (+7.1 points) - NQ-Tables: 48.8% vs 42.5% (+6.3 points) - EVQA: +15.5 points - LiveVQA: +11.3 points One honest caveat from the authors: this requires Qwen3-VL-4B class models or larger to see the benefit. Smaller models trail text retrieval. The authors also recommend using PixelRAG as an enhancement layer alongside existing text systems rather than a full replacement. Ships with a pre-built Wikipedia index covering 8.28M articles across 28.1M screenshot tiles. A Claude Code plugin lets Claude take screenshots of any URL and reason over the visual content directly. Key capabilities: • Renders web pages, PDFs, and images as screenshot tiles via Playwright • Fine-tuned Qwen3-VL-Embedding model for visual retrieval • FAISS index for fast vector search • Pre-built Wikipedia index: 8.28M articles, 28.1M tiles • 3x token cost reduction via image compression • Claude Code plugin for direct URL screenshot and visual reasoning • LoRA fine-tuning support via pixelrag-train 100% open source. I've shared the link in the replies!

Most people seriously underestimate what Grok Build can do They assume an AI coding agent is only useful for building apps or writing complex software But some of its most valuable work is handling the boring, obvious tasks that quietly consume 10 minutes here, 20 minutes there, every single day For example, I gave Grok Build a SpaceX video posted on 𝕏 and asked it to extract the clearest frames and turn them into a clean collage It pulled the video, selected the strongest images, cropped them, arranged the layout and produced the final collage shown in the post below I simply described the result I wanted, then let it handle the entire process while I worked on something else And that is only one small example You can use Grok Build to: • Organize and intelligently search files across your computer • Diagnose and fix audio, display and system-setting problems • Download, install and configure apps or tools • Extract images or audio from videos • Add music, trim, compress and convert media • Resize, crop and enhance images • Batch rename and organize hundreds of files • Clean spreadsheets, merge datasets and build dashboards • Write scripts and automate repetitive tasks • Fix broken configurations and connect tools together Even something as annoying as an audio setting not working becomes much easier Instead of hunting through menus, searching forums and trying random fixes, you can explain the problem to Grok Build It can inspect the setup, identify the likely cause, change the relevant configuration and test whether the fix worked It is basically an agentic operator living inside your computer, working within the permissions you give it I also keep a simple instruction file telling Grok how I prefer tasks to be completed, including automatically opening the finished result after a successful run so I do not forget about it Configure the workflow once, and Grok keeps working the way you prefer That is what makes Grok Build so useful It is not only building software It turns all the small computer tasks between an idea and the finished result into work you can simply describe and delegate

A humanoid robot is fundamentally an embodied AI system. While motors, actuators, batteries, and sensors provide the body, neural intelligence provides the mind. Without neural computation, a humanoid is simply an advanced machine. With it, the robot becomes capable of adapting to unpredictable environments, understanding language, recognizing objects, planning tasks, and continuously improving through experience. This shift positions "Humanoid Neural" as a foundational concept within the robotics ecosystem. Neural Intelligence is the Core of Future Humanoids. Modern humanoids rely on neural-network-based systems to perform nearly every cognitive function. These include: Visual perception Speech recognition Language understanding Object identification Human pose estimation Motion planning Reinforcement learning Dexterous manipulation Long-term memory Decision making Navigation Emotional recognition Social interaction As robots become more capable, nearly every subsystem transitions from traditional programming toward learned neural models. This makes "neural" less of a niche AI term and more of an umbrella for robot intelligence. A Broad and Scalable Brand One of the strongest characteristics of is that it is not confined to a single product category. #Languageunderstanding# #neuralnetwork# #socialinteraction# #neuralntelligence# #smarthumanoids# #iq#

NVIDIA CEO Jensen Huang gave one of the strongest endorsements of Elon Musk’s tech ecosystem “Every single one of them is revolutionary” He called Grok, Tesla’s self-driving work and Optimus. Every single one of them world-class projects....each with gigantic potential He described Elon as an extraordinary engineer, highlighting NVIDIA’s work with Tesla and SpaceXAI(xAI) and saying they will build many more powerful computers together On Optimus, he went even further: Humanoid robots could become the next multi-trillion-dollar industry, and Optimus has a real chance to achieve the volume and technological scale needed to move the entire field forward and said that it's “right around the corner”

China’s AI race has been a battle for talent, with deep-pocketed tech groups aggressively poaching from smaller start-ups. Throughout this, Moonshot founder Yang Zhilin has kept one of China’s strongest research teams together

"DeepSeek competes through engineering excellence and operational effiency rather than secrecy." "Liang believes genuine research requires relaxed environments, curiosity, and intrinsic motivation rather than constant deadlines or overtime." "DeepSeek deliberately practices restraint. It open-sources its strongest models, prices its APIs for only a reasonable return, avoids competing in every adjacent market, and leaves many commercial opportunities to partners." 1. This is conscious capitalism that we all can get behind, not the extractive & winner-take-all capitalism that plagues the US. 2. Sounds like DeepSeek's culture is as healthy as it gets in the corporate world. Everyone's given autonomy and the space to do their best work. Obviously, every contributor needs to be truly mission-driven and highly talented for this to work, but this is a dream-come-true work environment for Elite Human Capital™️.

Champions aren’t born in the light, they’re forged in the struggle. When your body quits, your will takes over. You take every hit, every loss, every ache, and turn it into raw momentum. It’s never about who’s fastest or strongest. It’s about who stays standing. Every scar is proof you didn't back down. Every step forward is a promise to yourself. Push harder. Stay sharp. Finish what you started. Win or learn but never fold. Arman knows and he’s the new official ambassador! @JackCasino built for winners 🏆

Interactive Brokers $IBKR posted record Q2 results, headlined by a staggering 77% pretax profit margin! THE NUMBERS: Net interest income jumped 23% YoY to top $1B, while total assets surged 36% to $247B BALANCE SHEET STRENGTH: IBKR carries zero long-term debt while expanding global reach, adding Korea trading and SpaceX IPO access for European retail clients. THE RATING: Despite elite margins and fortress balance sheet metrics, the Seeking Alpha Quant score sits at a neutral HOLD. Is $IBKR the strongest financial brokerage play on the market right now?