Generative AI’s Post

He is speaking either out of ego or to protect his investors. If someone invented a way to run vehicles on water instead of petrol, with the same efficiency, any businessman with common sense would adopt it. Who would go after the route to process of extracting oil, refining it, and using petrol instead of water.

And while most of the Internet is frenetically swooning over DeepSeek’s first shockwave… here comes the encore. Janus-Pro-7B excels in both image understanding and generation. It’s beating industry leaders like OpenAI’s DALL-E 3 and Stability AI’s Stable Diffusion. This model shines across key benchmarks, including GenEval and DPG-Bench1210. 1. Multimodal Capabilities ↳ Handles both text and images seamlessly ↳ Ideal for text-to-image generation, visual question answering, and image analysis 2. Novel Architecture ↳ Decouples visual encoding into separate pathways ↳ Uses a unified transformer framework for enhanced performance 3. Outperforms Industry Leaders ↳ Beats OpenAI’s DALL-E 3 and Stability AI’s Stable Diffusion ↳ Tops benchmarks like GenEval and DPG-Bench1210 4. Versatility and Flexibility ↳ Resolves conflicts between understanding and generation tasks ↳ Perfect for diverse applications in AI 5. Unified Framework ↳ Leverages a unified transformer for both understanding and generation ↳ Enhances both flexibility and performance 6. Groundbreaking Performance ↳ Sets new standards in image understanding and generation ↳ A game-changer in the AI community Janus-Pro-7B: It’s a new multimodal AI model that’s making waves.

DeepSeek founder Liang Wenfeng doesn’t fit the profile of an artificial intelligence pioneer that’s common in the popular imagination. Unlike OpenAI CEO Sam Altman, for example, he’s not a Silicon Valley entrepreneur. Instead, Liang hails from the world of finance. After graduating from Zhejiang University, he co-founded the quantitative hedge fund High-Flyer in 2015 and incorporated AI in its trading strategies to predict market trends and help make investment decisions. In 2021, he started buying thousands of Nvidia chips as part of an AI side project, before the Biden administration began limiting US exports of AI chips to China. 2023 he started DeepSeek.. 

He must defend it, though the compute cost is high! In the end, they must come out of the cost comfort zone to be in the race.

Demis Hassabis Recently estimated 5-10y to AGI Google DeepMind #ai #agi

AGI is coming, but the real challenge is ensuring it benefits everyone. Innovation is key, but so is responsible, inclusive implementation.

Artificial General Intelligence (AGI) remains a distant goal, with most experts projecting its realization beyond 2030, possibly extending into the 2040s. This timeline reflects the substantial technical challenges involved in developing machines with human-like cognitive abilities. Beyond the need for advanced computational power, achieving AGI requires breakthroughs in areas such as robust learning algorithms, common-sense reasoning, and emotional intelligence.

He can't take back that "we need more compute", they will try to minimize deepseek's achievements just to continue their speech. Let's see what those new releases claim and what they really do, AI testers are going to have a lot of fun trying to prove who is saying the truth.

Well Shared. Wondering if #Deepseek breakthrough might help shake the AI tree before we reach the AGI stage. https://www.linkedin.com/posts/vci-institute_the-deepseek-disruption-by-vci-institute-activity-7290126005246078979-32I3?utm_source=share&utm_medium=member_desktop