Liquid AI’s open-weight d1 models answer yes/no, pick-one and score questions about text, images and speech in one pass, without writing text.
Anthropic’s Haiku 5.5 adds a 1M context and effort controls. It’s 90% cheaper than Haiku 4.5 below 100k tokens, 50% cheaper above.
Google released EmbeddingGemma 2, a 740M Apache 2.0 model that maps text, code, images, video and audio into one searchable space.
Four AI labs testified under oath in New York. Google disclosed three agent escapes; none would guarantee their agents always follow safeguards.
Mistral Large 4 is a 1T-parameter model with weights due this month. It leads non-Chinese open models but trails China’s best.
Reflection AI announced Beam, a 501B open-weight model with 23B active. Apache 2.0 is promised; the weights are due later this month.
Aleph Alpha released Kolibri, an Apache-licensed German-English model: 78B parameters, 3.46B active per token, trained to hold back when unsure.
A Mythos-found flaw was attacked a day after its write-up, while Google paused an open-source bounty flooded by invalid AI reports.
Ai2 released AstaBrief 8B, an Apache-licensed model that turns a research question and paper excerpts into a cited report in one pass.
Meta says mathematicians using Muse Spark answered five open problems. Its own notes show rivals reached three of them independently.