A powerful look at holistic healing and an unconventional approach to treating c@ncer using a sodium bicarbonate wrap—a method claimed to offer incredible results without the harsh side effects often associated with traditional treatments. This approach focuses on the body's innate ability to heal, demonstrating the preparation and application of this remedy and emphasizing that knowledge like this is meant to be shared for the greater good. Could simple, accessible ingredients be the key to transformative health?

MaryRuth Ghiyam was a holistic health coach when she noticed a problem: taking capsules on an empty stomach could cause nausea, but there weren’t many good liquid supplements on the market. So she decided to make her own. The inside story of the crazy, creative financing behind one of America’s best-selling wellness brands: 📸: Ethan Pines for Forbes, MaryRuth Organics

[Revised] MamaBearZKP: A Holistic Co-design of Prime Fields and Proving Stacks for High-Throughput ZKP on Modern CPUs (Jipeng Zhang and Yanpei Guo and Tao Lu and Hao Cheng and Jiaheng Zhang)

"We can holistically look from the cloud all the way down to the endpoint and leverage those assets across all of it." Mike Nordquist, VP of Product Marketing at AMD, on the @EyeOnTech_TT Podcast. Full Episode here:

how come chat instant's takes are more holistic (curious?/smart??) than astra in codex 😵‍💫😵‍💫 it must be a me problem... i'm feeling extra dumb rn letting codex use CUA to chat with chat instant in web cos one has all the connections and i like the other's analysis better

Bringing production silicon to market is more than an engineering challenge - it requires a holistic organizational shift. What does that look like in practice? Charlotte Eaton, Chief People Officer at Arm, shares what went into building the workforce behind Arm AGI CPU, including new capabilities across engineering, manufacturing, operations, and beyond. 👏

Fable and Astra still have a lot of room for improvement - they make random assumptions - don’t think holistically - extremely bad at complex UX - no sense of time or AI effort We are at least two generations away from the Super Intelligence! Plenty of time for open source AI to catch up.

As consumers become more educated about the products they’re buying and look to make more holistic purchases, a new retail category is emerging. What were once three separate sections — beauty, health and wellness — have converged into one large category as consumers look for products that serve multiple purposes. That change in consumer behavior is creating more competition for companies racing to win over the corresponding share of customers’ wallets, industry experts said. Learn how retailers are responding to the changes:

Video AI turns out to be surprisingly bad at pointing to "when and where," even when it can answer the question itself. Title: OmniCompass: A Holistic Benchmark for Omni-Modal Video Grounding and Understanding URL: 💡 Overview Researchers from Hong Kong Polytechnic University and OPPO Research Institute introduce OmniCompass, a new holistic benchmark for video understanding, evaluating 50 models on temporal/spatial grounding and question answering on the same footing. 🎯 The problem Existing benchmarks cover either vision-only or audio-visual evidence, test either QA or grounding but rarely both, and had no way to check whether a model's predictions actually agree when the target is specified by text alone versus text plus a reference image. 🧪 The method Across 820 videos (80.6 hours, 7 domains, 52 subcategories), each clip gets a matched Text setting and Text+Image setting sharing the same target and ground truth. Two tracks, OmniCompass-VL for vision-language models and OmniCompass-AV for omni-modal models, each evaluate three unified tasks: temporal grounding (TG), spatial grounding (SG), and QA. A new Cross-Specification Consistency (CS) score measures how well predictions agree between the two settings. 📊 Results QA reaches up to 69.1% (VL) and 78.2% (AV), while temporal grounding tops out at just 27.1% (VL) and 40.6% (AV), exposing a huge gap between answering and pointing. The best open-source model also trails the best proprietary model, Gemini-3.8-Flash, by 32.8 points on CS average in the AV track (24.6% vs. 57.4%). #VideoAI# #Benchmarks#