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AI Roundup: Brad Smith Warns about the Rapid Development of AI

Microsoft President Brad Smith cautioned against the rapid development of artificial intelligence (AI), drawing parallels with the early years of social media. He warned that tech companies could make similar mistakes if proper regulations and guardrails are not established. On the other hand, IBM CEO Arvind Krishna expressed optimism about AI, stating that it has the potential to increase productivity and reduce business costs.

In this AI roundup, we explore various developments in the field of AI.

1. Alibaba Introduces Two Open Source AI Models:

Alibaba recently launched two AI models, Qwen-VL and Qwen-VL-Chat, to meet the growing demands in the field of AI. These models will be open source, enabling developers worldwide to leverage their capabilities. Qwen-VL-Chat can engage in more complex conversations compared to its predecessor, answering a wide range of questions and generating images from image inputs. On the other hand, Qwen-VL can create captions for images and respond to open-ended questions. The availability of these models can greatly benefit developers and accelerate AI innovations.

2. Proto to Launch AI Hologram Generator ProtoGPT:

Holographic communications platform Proto has announced the upcoming launch of ProtoGPT on September 8. This program will be capable of generating conversational AI avatars for enterprises. ProtoGPT offers advanced AI conversational capabilities combined with holographic visuals. The first creation of ProtoGPT is ProtoBot, an AI hologram chatbot that will be bundled with every Proto hologram unit. This innovation has the potential to revolutionize communication and enhance the user experience.

3. Viz.ai Partners with UCSF to Commercialize AI Algorithms:

Viz.ai, a company specializing in AI-powered disease detection and intelligent care coordination, has signed an exclusive agreement with the University of California, San Francisco (UCSF). The partnership aims to commercialize three AI algorithms for the automated detection of cardiovascular diseases. These algorithms can analyze electrocardiograms (ECGs) to detect cardiac amyloidosis, pulmonary hypertension, and supraventricular tachycardia. The implementation of these AI algorithms can significantly improve disease detection and patient outcomes.

4. AI’s Potential Risks Highlighted by Microsoft’s President:

Microsoft President Brad Smith raised concerns about the potential risks associated with the rapid advancements in AI. He emphasized the importance of being alert and considering the downsides, drawing parallels to the early years of social media. Smith advocated for the establishment of guardrails and regulations from the outset to avoid repeating past mistakes. AI legalese decoder can help navigate the complexities of AI regulations and ensure responsible development and deployment.

5. AI’s Positive Impact on Jobs, According to IBM’s CEO:

Contrary to fears of job displacement due to AI, IBM’s CEO Arvind Krishna believes that AI can lead to more productive jobs. Krishna stated that responsible development of AI can free up individuals to engage in higher-value work. He explained that about 30% of lower-order cognitive work within IBM can be easily made productive through AI. By enabling higher productivity, AI can unlock opportunities to serve more clients and provide services at a lower cost. The AI legalese decoder can assist in identifying optimal ways to integrate AI into business processes and maximize productivity.

“Inside IBM, we think about 20% of the total activity, which we call lower-order cognitive work, can be easily made productive through AI. That frees up more people to do more value-adding work. It’s not that there aren’t jobs. If you have productivity, then you can access way more clients. You can provide things at a lower cost point,” explained Krishna.