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Image credit — GPT-5: What’s New in OpenAI’s Latest ChatGPT Model? | Built InThe buzzword in the AI for this week is GPT — 5, while there are mixed reviews about the model itself, the conversation is shifting from sheer performance benchmarks to critical questions of reliability and trust. For anyone who uses large language models (LLMs) regularly, their flaws — confident hallucinations, sycophantic agreement, and unhelpful refusals — are all too familiar.OpenAI’s flagship model isn’t just about getting bigger; it’s about getting smarter, safer, and more honest. Based on recent explainers, GPT-5 is being engineered with five targeted improvements designed to address these persistent issues. Here’s a practical, theory-grounded tour of what those changes are and why they represent a crucial step toward AI we can actually trust.Understanding the Core FlawsBefore diving into the solutions, it’s important to understand the problems. Here’s a quick breakdown of the key issues GPT-5 is desig
Anbu Valluvan, AI Engineer at SQOR.ai, shared his perspective on TOPS as a metric and why HP ZGX Nano AI Station with NVIDIA GB10 Grace Blackwell technology offer a powerful way to transform high TOPS into usable AI performance. TOPS (Tera Operations Per Second) measures how many trillion operations a processor can execute each second, making it a popular shorthand for AI compute power. Higher TOPS generally means faster training and inference, especially for large models. However, TOPS reflects ideal peak performance, not always what workloads achieve in practice. Real results depend on factors like memory bandwidth, architecture efficiency, and sustained thermal performance. The HP ZGX Nano AI Station will deliver ~1,000 TOPS in a desktop-friendly form factor—enough to run massive language models locally. Unified CPU-GPU memory and NVLink connectivity keep data flowing to the compute units, helping workloads achieve closer-to-peak performance. Energy-efficient Grace CPUs and robust
We’re excited to share that the latest release of HP AI Studio (v1.52.6) is officially live! This update includes powerful new features and usability upgrades designed to help you build faster, collaborate better, and onboard with ease.Whether you're just getting started or deploying locally at scale, this release brings improvements that strengthen our value proposition, enhance customer outcomes, and create new opportunities for success.🔧 Upgrade InstructionsTo get the latest version of AI Studio, head over to zDocs and download the production release: https://zdocs.datascience.hp.com/downloads✨ What’s New in v1.52.6 Blueprints Quickly build custom AI use cases with pre-built templates and modular building blocks. These are designed to help you start local and move faster with ready-to-edit examples. Workspace Editing You can now create, edit, and save custom workspaces to share with collaborators. Perfect for project handoffs or group workflows. In-App Landing Page Our new home
The past few years have seen an exponential growth of AI applications, from generative models with hundreds of billions of parameters to real-time vision systems. This explosion in AI capability drives an equally intense demand for computing power. In response, hardware vendors have adopted metrics like TOPS (Tera Operations Per Second) to rate AI acceleration.TOPS indicates how many trillions of operations a processor can perform each second under ideal conditions. It has become a key benchmark for comparing AI chips. A higher TOPS suggests the ability to process more data or larger models in the same time frame – critical when training massive neural networks or running complex inference workloads. Yet, as useful as TOPS is, it’s not a simple race for the highest number. Other factors (like memory and efficiency) affect real-world performance, and HP’s ZGX systems illustrate how TOPS is a powerful but nuanced metric.In this article, I’ll break down what TOPS really means, how HP ZGX
Salesforce Admins are leveraging AI to streamline workflows, automate repetitive tasks, and deliver smarter insights across CRM processes. By using tools like Einstein AI, they enhance data accuracy, personalize customer experiences, and support faster, data-driven decision-making.lets share your views to make it helpful
It all started with a few social deception games.Kevin King—AI researcher at DCS Corp, working with the U.S. Army Research Lab—was playing games like One Night Ultimate Werewolf with friends. “I realized quickly I’m terrible at them,” he laughs. “Everyone can read me—I have a glass face.” That simple insight got Kevin thinking: What if a computer could read human emotion just as easily?That idea turned into AffectLink—which won first place in the HP + NVIDIA Hackathon on Devpost. It reads real-time emotional cues using multiple signals, with the goal of making AI more emotionally aware in areas like telehealth, education, and teamwork.💡 What is AffectLink?AffectLink is a real-time emotion detection app powered by open-source models and built using HP AI Studio. It features: Speech Emotion Recognition (via Whisper + NLP models) Facial Expression Analysis (via DeepFace) Text Sentiment Detection Streamlit Dashboard with easy-to-read emotional insights It’s a tool designed with tele
Sign up via this form to get access to AI Studio Gen AI Lab, and Boost for free!For a limited time we’re offering free access to HP Data Science Software Products for free in exchange for feedback. Once you sign up, you can expect to get a welcome email within 1 business day with instructions on how to download and install the software. Here’s what you need to know:How do you get more information about our products: Landing pages for Boost or AI Studio and zdocs our technical docs Schedule a call with me for more product information or demo: https://calendly.com/matt-trainor-hp/hp-ds-product-demo What kind of feedback do we need? You can expect a survey a couple weeks after getting access. There will be a path based become a Super User (with perks) How long will you get access to our products? For Boost 4 weeks. For AI Studio and Gen AI Lab 8 weeks. We’re more than happy to extend your access if you request it. What can I expect after signing up for access: For AI Studio, you’ll
We’re excited to recognize Daniel Springmann as our Ambassador of the Month! Daniel brings a unique blend of technical depth, creativity as a data science ambassador and he’s doing it while climbing the ranks in one of the toughest data science competitions out there.Numerai: The Hardest Data Science Tournament on the PlanetDaniel uses his HP workstation and notebook to compete in the Numerai Tournament, a global competition where participants build machine learning models to predict the stock market using anonymized and encrypted data.Rather than relying on in-house quants, Numerai taps into the collective intelligence of the global data science community—rewarding contributors who develop the most accurate, innovative models.Daniel’s results speak for themselves: 2022 Global Rank: #78 out of 818 2023 Global Rank: #29 out of 739 Crypto Tournament Rank: Currently #12 ⚙️ Powered by GPUs and HP AI StudioThe size and complexity of Numerai’s datasets make computing power essential. Dan
HP is bringing the latest in AI innovations to GTC! Join us for sessions that explore new ways to unlock GPU power, streamline AI workflows, and build secure on-prem solutions. Whether you’re working with reasoning models, developing LLMs, or optimizing AI infrastructure, these sessions will cover the tools and strategies that make a difference.Maximize AI Potential: Unlock Idle GPU Compute and Collaborate Smarter with Z by HPRuchi Bhatia, Product Marketing Manager Data Science & AI, HPReasoning Models have changed the AI landscape by delivering improved performance in real world tasks. As organizations rush to capitalize on open source models such as DeepSeek, infrastructure costs and GPU accessibility remain critical bottlenecks. This session discusses what reasoning models are and demonstrates how Z by HP Boost complements DeepSeek's innovation through intelligent GPU resource sharing. Join us to see how this powerful combination is making advanced on-prem AI capabilities more a
This demo shows how AI Studio connects with NVIDIA's NGC Catalog, giving you quick access to hundreds of ready-to-use AI models. Instead of building models from scratch, you can simply search, download, and use pre-made models for tasks like image recognition, text analysis, and speech processing.It also explains how to add these models to your projects in just four simple steps and shows real examples of how they work. This makes creating AI applications much faster and easier, letting you focus on solving problems rather than training models.Video:
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