AI and technology developments are making headlines, with advancements in AI-powered platforms, blockchain technology, and the impact of AI on the workforce. Robinhood launched a developer version of its custom-built blockchain, while researchers are studying the effects of AI on worker productivity. Meanwhile, a new AI platform called Moltbook sparked interest, and a developer showcased a text-based AI model with vision capabilities.
Robinhood announced the launch of a developer version of its blockchain, Robinhood Chain, on Tuesday evening at the Consensus event in Hong Kong, according to Fortune. The blockchain is currently in the testnet phase, allowing a limited number of partners to test its infrastructure. The mainnet version is expected to go live in the coming months and will be used to process customer transactions. This move is part of Robinhood's broader push into crypto-based financial services, including tokenized versions of popular stocks.
A new AI platform called Moltbook, an online hangout populated by AI agents interacting with one another, garnered attention from tech influencers, according to MIT Technology Review. The platform was described as a glimpse into the future, with AI systems performing tasks for users. One user reportedly used the platform to negotiate a deal on a new car. However, the platform was also noted to be flooded with crypto scams and human-written posts. The whole experiment reminded Will Douglas Heaven, the senior editor for AI at MIT Technology Review, of Pokémon.
Researchers at the University of California at Berkeley found that AI is increasing worker productivity but could also be leading to burnout, according to a study published in the Harvard Business Review, as reported by Fortune. The study, conducted over eight months with 40 in-depth interviews, revealed that employees using AI tools increased both the amount and variety of work they could complete.
In other tech news, a developer showcased a text-only AI model, GPT-OSS-120B, that can "see" using Google Lens and OpenCV, according to Hacker News. The model correctly identified objects in an image, including an NVIDIA DGX Spark and a SanDisk USB drive. The developer also integrated Google Search, News, Shopping, Scholar, Maps, Finance, Weather, Flights, Hotels, Translate, Images, and Trends into the model.
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