However, the biggest development has happened in the field of medical science. Radiologists can use the model to decipher and critically analyse images that can help them infer details from a scan or X-ray.
The auto insurance sector too has something to cheer about. GPT-4V is capable of giving a detailed report on the type and severity of the damage caused based on mere pictures of the vehicle.
There’s more, ChatGPT's Code Interpreter has simplified coding, but GPT-4V has taken the chatbot's coding abilities to a new level. Now, it can effortlessly translate basic drawings or whiteboard scribbles into functional websites or app codes. This advancement in low code/no code options makes coding even more user-friendly, prompting questions about the future of traditional coding platforms.
Sounds great, but the platform is still far from perfect. GPT-4V can still generate errors when it comes to reading minute details or counting variables that are too similar. The chatbot is aware of its limitations and advises users to cross-check the results instead of completely relying on it.
Read the full story here.
Google is the Biggest Hurdle
Microsoft's CEO Satya Nadella was questioned by the US Justice Department for an hour regarding the ongoing antitrust trial against Google. Nadella highlighted the entrenched nature of Google Search in people's daily routines and suggested that changing user habits would require altering defaults. Microsoft had hoped to challenge Google's search dominance with Bing, powered by GPT-4, but Bing's market share remains at 3%.
While it saw a 16% increase in page visits since GPT-4's launch, Google continues to dominate the search space. Nadella claimed that Microsoft's investments have helped keep search alternatives afloat, but smaller privacy-focused engines like DuckDuckGo and Neeva still depend on giants like Microsoft for indexing the web. Despite Microsoft's efforts, Google's grip on default search placements in mobile and browsers limits users' choices.
Read the full story here.
Samsung Buckles Up
Samsung's semiconductor business, faced with declining demand for memory chips and competition in the AI chip market, is seeking partnerships to bolster its position. Canadian startup Tenstorrent has ordered AI chips from Samsung's chip manufacturing arm, although financial details remain undisclosed. Meanwhile, NVIDIA is considering outsourcing chip manufacturing to Samsung to reduce reliance on TSMC.
This move comes after Samsung's semiconductor division reported significant losses earlier this year, prompting production cuts. While demand for memory chips has been sluggish, there has been strong demand for AI chips, with annual growth rates reaching 30%. To maintain its position, Samsung is investing in foundry business, building new fabrication plants, and expanding capacity to produce advanced chips.
Read the full story here.
Modern Problems Need Modern Solutions
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