The initial reactions to OpenAI’s landmark open source gpt-oss models are highly varied and mixed
The verdict, for now, is split. OpenAI’s gpt-oss models are a landmark in terms of licensing and accessibility.Read More
Read MoreThe verdict, for now, is split. OpenAI’s gpt-oss models are a landmark in terms of licensing and accessibility.Read More
Read MoreAI-native working allows Genspark to work at “gen speed” and release new products and features in nearly every week.Read More
Read MoreAWS is making automated reasoning checks, a feature on Bedrock, generally available to customers to start proving truth in their AI systems.Read More
Read MoreA diffusion model inspired by the human process of drafting, searching for information, and making iterative revisions.Read More
Read MoreAnthropic’s Claude Opus 4.1 achieves 74.5% on coding benchmarks, leading the AI market, but faces risk as nearly half its $3.1B API revenue depends on just two customers.Read More
Read MoreEnterprises can use a powerful, near topline OpenAI LLM on their hardware totally privately and securely, without sending data to the cloud.Read More
Read MoreChatGPT reaches 700 million weekly users as OpenAI prepares to launch GPT-5 with integrated reasoning capabilities in August 2025.Read More
Read MoreMy initial tests revealed the text and prompt adherence was not noticeably better than Midjourney, the popular proprietary AI image generatorRead More
Read MoreAI coding requires a serious structural change. Where does that leave entry-level developers and the software industry as a whole?Read More
Read MoreGUEST: The past few decades have seen almost unimaginable advances in compute performance and efficiency, enabled by Moore’s Law and underpinned by scale-out commodity hardware and loosely coupled software. This architecture has delivered online services to billions globally and put virtually all of human knowledge at our fingertips. But the next c…Read More
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