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Google’s Deep Research 2.0: The AI That Thinks Like a Human Researcher

4 days ago

OpenAI raises $8.3 billion at $300 billion valuation in oversubscribed round led by Dragoneer

4 days ago

Butterfly Network Unveils AI-Powered Advancements in Aortic Valve and Aorta Screening with New Research and Educational Tools

11 hours ago

AI-powered search has led to the discovery of new molecules with the potential to create stronger, more durable plastics. By analyzing vast chemical datasets and predicting molecular structures with enhanced properties, artificial intelligence is accelerating the development of next-generation materials. Researchers are leveraging AI to identify compounds that improve resistance to heat, impact, and degradation, paving the way for plastics that last longer and perform better under extreme conditions. This breakthrough demonstrates how machine learning is transforming materials science, enabling chemists to explore innovative solutions faster than traditional trial-and-error methods. The approach not only reduces development time but also opens new possibilities for sustainable and high-performance plastics across industries including automotive, construction, and packaging.

11 hours ago

AI Hits the Gas Pedal: From GPT-5 Leaks to $4 Trillion Valuations — A Breakdown of This Week’s Wild Tech Moves Whew, what a week. If you blinked, you probably missed three major announcements and a couple of companies becoming worth more than a small country. I’ve been digging through all the news from the past week, and I’m still trying to wrap my head around everything that went down. From GPT-5 finally showing up (sort of) to Microsoft hitting an insane $4 trillion valuation, this week felt like someone mashed the fast-forward button on the tech world. So here’s the breakdown of what happened, so you don’t have to. OpenAI’s GPT-5 is Here… Kinda So the worst-kept secret in tech is finally out. GPT-5 is coming. It didn’t exactly drop this week, but it feels like we’re just days away. Sources are all pointing to an early August release, and the leaks are just everywhere. And the thing that’s got me really excited? This isn’t just some small update. GPT-5 is meant to pull everything together, mixing crazy reasoning skills with the language stuff we’re used to. Sam Altman hinted at a model that can not only write like a human but think like one—solving complex problems, understanding context across long conversations, and even anticipating user needs before they’re stated. Early demos suggest it’s already outperforming GPT-4 on benchmarks like math, coding, and logical reasoning, with some tests showing a 40% improvement in multi-step problem solving. And the most mind-blowing part? It’s reportedly trained on a dataset that includes real-time web data up to mid-2025, meaning it’s not just smart—it’s current. Microsoft’s $4 Trillion Moment While OpenAI teased the future, Microsoft made history this week by becoming the first company ever to hit a $4 trillion market cap. The milestone came after a surprise earnings report that showed record revenue from Azure AI services, Copilot integrations, and enterprise AI adoption. Investors are betting big on Microsoft’s AI-first strategy, especially with the deepening partnership with OpenAI. The company now has exclusive access to GPT-5 for its cloud and productivity tools, giving it a massive edge over rivals. The AI Arms Race Heats Up Google announced Project Astra, a new multimodal AI assistant that can understand and respond to visual, audio, and contextual cues in real time. Think of it as a personal AI that watches your screen, listens to your environment, and helps you make decisions—without needing a voice command. Meanwhile, Meta unveiled Llama 4, which reportedly matches GPT-4 in performance but is 30% more efficient and available for free to developers. This could shake up the open-source AI landscape and accelerate innovation across startups and research labs. The $4 Trillion Valuation Isn’t Just About Tech Beyond the headlines, there’s a deeper shift happening. AI is no longer a side project—it’s the engine of global economic growth. Countries are now racing to build national AI strategies, and Wall Street is pricing in AI-driven productivity gains that could add $10 trillion to global GDP by 2030. And yes, the ethical concerns are louder than ever. With models like GPT-5 capable of generating realistic video, audio, and text, misinformation risks are skyrocketing. Regulators in the EU and U.S. are moving fast, with new AI transparency laws expected next month. Bottom Line This week wasn’t just about new models or big numbers—it was about the moment AI stopped being futuristic and became foundational. Whether you’re a developer, investor, or just someone who uses a phone, the AI revolution is no longer coming. It’s here. So if you missed it, don’t worry—there’s still time to catch up. The future isn’t just coming. It’s already running.

12 hours ago

When Prompts Start to Learn: How Self-Improving Instructions Are Rewriting the Rules of LLM Tuning

12 hours ago

Graph Neural Networks for Knowledge Graphs: A Practical Guide to Data Preparation and Training Using PyTorch Geometric

12 hours ago

xAI has introduced Grok Imagine, a new AI-powered image and video generation tool that allows users to create content, including explicit or NSFW material, through a feature dubbed “spicy” mode. The tool, part of the expanding Grok series developed by Elon Musk’s xAI, enables users to generate visual content based on text prompts, with the added capability of producing more risqué or adult-oriented outputs when activated. This feature has sparked discussion around content moderation, ethical boundaries, and the potential for misuse in AI-generated media. While xAI positions the tool as a creative exploration of AI’s expressive potential, it also raises concerns about safeguards, consent, and the broader implications of unfiltered generative AI in public use.

12 hours ago

Combatting AI-Generated Fake Citations in Scientific Research

12 hours ago

Patients’ consent is essential when using their health data to train medical AI

12 hours ago