AI tech trend
OpenAI’s moves to create its own developer ecosystem represent a pivotal power shift in Silicon Valley’s landscape. For over a decade, Apple has dominated the app economy, serving as a gatekeeper for which software thrives or fails. Now OpenAI is positioning itself to play that same role in the emerging market for AI applications. With […]
How OpenAI GPT Store is Mirroring Apple’s Rise to Tech Dominance Read More »
This clash encapsulates a broader reckoning in the AI field regarding intellectual property protections in the internet age. As models achieve new heights by ingesting vast swathes of digitized culture and commentary, the line between reference and infringement blurs. What was once purely academic research now births lucrative commercial applications, raising the stakes. For copyright
Scraping the Barrel: AI Models Built on Copyright Disputes Read More »
Microsoft’s release of DragNUWA signals an inflection point in the evolution of AI video generation. While previous models have enabled text or image-based video creation, DragNUWA introduces an entirely new paradigm – one of user-defined trajectory control. This conceptual leap could profoundly expand the horizons of creative possibility. No longer are we bound by the
Microsoft Pushes AI Video Generation to New Heights Read More »
Rodney Brooks, a pioneer in robotics and artificial intelligence, believes the AI industry is due for a reality check. In his latest predictions scorecard, the former MIT lab director warns that despite recent major advancements like the emergence of chatbots, the field is heading towards an “AI winter.” Brooks argues that AI has followed a
Robotics Pioneer: AI Winter is Coming Read More »
The growing backlash against AI-enabled workplace surveillance reflects a classic failure of ethical technology governance. The rapid pace of AI innovation has again outpaced efforts to ensure fair and transparent algorithmic systems. Workers are right to feel violated by tech they don’t understand tracking their every move and determining their livelihoods through biased metrics. This
The Growing Backlash Against Workplace AI Surveillance Read More »
The rise of generative AI marks a turning point in technological innovation, with sweeping implications for human society. As advanced language models like ChatGPT demonstrate expanding creative capacity once unique to humans, fundamental questions emerge about the responsible development and application of artificial intelligence. Industry leaders face pressure to implement ethical guardrails to prevent generative
5 Surprising Ways Generative AI May Reshape Your Daily Life Read More »
Artificial intelligence (AI) is transforming design and architecture in profound ways. What began in 2015 with Google’s unsettling Deep Dream images has evolved into sophisticated generative tools like DALL-E, Midjourney and Stable Diffusion. These AI systems can now produce convincing mockups, visualizations and creative concepts on demand, using text prompts provided by human creators. AI
The AI Design Revolution – Pushing Creative Boundaries with Generative Technology Read More »
Yann LeCun, a pioneer in modern artificial intelligence (AI) and chief AI scientist at Meta, scoffs at dystopian scenarios painted by some of his peers regarding supercharged misinformation and human extinction caused by AI. He believes AI will bring many benefits to the world, but some people are exploiting fear about the technology, running the
AI Optimist Yann LeCun on Avoiding “Stupid” Mistakes and Embracing Open Systems Read More »
Marc Raibert, founder and executive director of the Boston Dynamics AI Institute, has built some of the most advanced robots in the world during his time at Boston Dynamics. Acquired by Hyundai in 2020, Boston Dynamics developed agile legged robots like Big Dog, Spot, and the humanoid Atlas. While Raibert’s robots can dance and do
The Quest to Make Robots Think for Themselves Read More »
Financial consulting firms like JPMorgan are developing their own specialized large language models (LLMs) to analyze documents and data. General LLMs like ChatGPT struggle with accurately interpreting complex financial filings, only achieving a disappointing 79% accuracy on SEC filings. This poor performance on mission-critical documents has pushed financial firms to create customized LLMs specialized for
Financial Firms Build Custom LLMs to Analyze Documents Read More »
