Carl Franzen
Executive Editor at VentureBeat
#ArmsEmbargo · executive editor @venturebeat · occasional fictions e.g. @offduty2087 · he/his/him
Articles
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1 week ago |
technewstube.com | Carl Franzen
Tech News Tube is a real time news feed of the latest technology news headlines.Follow all of the top tech sites in one place, on the web or your mobile device.
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1 week ago |
venturebeat.com | Carl Franzen
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn MoreNvidia has become one of the most valuable companies in the world in recent years thanks to the stock market noticing how much demand there is for graphics processing units (GPUs), the powerful chips Nvidia makes that are used to render graphics in video games but also, increasingly, train AI large language and diffusion models.
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1 week ago |
flipboard.com | Carl Franzen
9 hours agoThe chip giant’s latest research highlights a new generation of AI that moves beyond chatbots—enabling machines to act, adapt, and reason in real-world settings across robotics, biotech, and mobility. Recent breakthroughs in generative AI have centered largely on language and imagery—from chatbots …
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1 week ago |
venturebeat.com | Carl Franzen
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn MoreIt’s been a bit of a topsy-turvy week for the number one generative AI company in terms of users. OpenAI, creator of ChatGPT, released and then withdrew an updated version of the underlying multimodal (text, image, audio) large language model (LLM) that ChatGPT is hooked up to by default, GPT-4o, due to it being too sycophantic to users.
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2 weeks ago |
venturebeat.com | Carl Franzen
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn MoreBuilding on the architecture of the previously released Phi-4, the new model integrates supervised fine-tuning and reinforcement learning to deliver improved performance on benchmarks in mathematics, science, coding, and logic-based tasks. Phi-4-reasoning-plus is a 14-billion parameter dense decoder-only Transformer model that emphasizes quality over scale.
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