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DeLorean’s Flying Car Racing Bet: 1st US Team [2026]

DeLorean Motor Company says it is building a flying car, and for once the claim comes with a race calendar attached. On October 13, 2026, the brand best known for the stainless-steel DMC-12 announced it will enter the Airspeeder International Series as the United States constructor, fielding a squad called the DeLorean Airspeeder Team starting…

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Nvidia DLSS 5 Update: 2x Faster Model, 20% Less VRAM [2026]

Nvidia pushed out a quiet but consequential update to DLSS 5 this week, and the numbers behind it are big enough to matter to anyone shopping for a graphics card right now. According to Nvidia’s own announcement, the new AI model inside DLSS 5 runs twice as fast as the version that shipped in September,…

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The biggest AI startup exits of 2026: How Nvidia, SpaceX, Google, and OpenAI are buying the future of AI

From 2025’s landmark acquisitions to 2026’s multibillion-dollar deals, technology giants are spending heavily to secure AI talent, models, developer platforms, and the infrastructure behind them. The past 18 months have seen an extraordinary wave of AI startup dealmaking, with nearly […] The post The biggest AI startup exits of 2026: How Nvidia, SpaceX, Google, and…

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Code-Switching Detection via Language-Selective Dimensions in Speech Foundation Models

Code-switching (CS), the alternation between languages within an utterance, is common in multilingual speech but underrepresented in pretraining corpora. Increasing CS coverage requires finding relevant utterances in large speech collections so that they can be included in training data. One way to find such utterances is to transcribe the speech and detect language alternation in…

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The Design Space of Tri-Modal Masked Diffusion Models

Discrete diffusion models have emerged as strong alternatives to autoregressive language models, with recent work initializing and finetuning a base unimodal model for bi-modal generation. Diverging from previous approaches, we introduce the first tri-modal Masked Diffusion Models (MDM) pretrained from scratch on text, image-text, and audio-text data. We systematically analyze multimodal scaling laws, modality mixing…

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