…requires speculative modelling of downstream impacts, user base, and remediation costs. [1] Here, we take an alternate approach and turn to a domain where software vulnerabilities can be priced directly: smart contracts…
…AI labs, put in 16-hour days designing model architectures, preparing training data, and racing to beat benchmarks, with the same persistence and competitiveness they had honed in Chinese schools. “Chinese people…
…It’s very cool, but I see these points of centralization emerging again that don’t look like Apple and Google, and maybe there’s competition for that. There might be competition…
…introduce more competitors into the space that can compete with OpenAI because now they can work with capital to not just train, but infer their own custom models and build their own…
…The K3 SoC is packaged with 32GB of LPDDR5-6400 memory and 10GbE networking, offering an alternative to proprietary AI hardware for enthusiasts and researchers. Prices start at $299 and go up…
…If you’ve got cheap hardware, and you’ve got applied statisticians, you’ve got these open source models and you’ve got a technology that fundamentally is interesting, and has done…
…Live updates from Elon Musk and Sam Altman’s court battle over the future of OpenAI Google, Microsoft, and xAI will allow the US government to review their new AI models Emma…
…There is the training process, where you let a model loose on the corpus of the internet, and it gobbles up all the data, and it learns from it. And then there…
…It had to go to Google and distill Google’s Gemini models and put them in its new Private Cloud Compute system, and all the stuff that it needed to do. But…
…to sustain its business model for long. And it puts more competitors at risk of disruption, partly due to venture-backed startups’ ability to dramatically undercut pricing. All this often comes before…