Snap vs Xiaomi

California governor vetoes bill banning 'pervert glasses' secret recording

California Governor Gavin Newsom vetoed Senate Bill 1130, which would have made it illegal to secretly record people using wearable recording devices like smart glasses. Newsom argued the bill defined wearable recording devices too broadly, potentially causing unintended consequences, and that existing state laws already provide adequate protections. The bill aimed to address privacy concerns amid the rise of always-listening devices from companies like Meta and Snap, which have seen significant sales. If enacted, California would have been the first state to regulate smart glasses, with fines or prison time for violators. The decision comes as other countries, like Norway, are considering similar bans. Critics have dubbed such devices 'pervert glasses' following incidents of harassment. The veto means no new specific regulations for these wearables in California yet.

• California Governor Gavin Newsom vetoed Senate Bill 1130 on October 1, 2026.
• The bill would have made it unlawful to secretly record people with wearable recording devices, with fines or prison time for violators.
• Newsom cited overly broad definitions and existing legal protections as reasons for the veto.

Colleen DeCourcy Builds In-House Creative at Sonos

Colleen DeCourcy, former CCO of Snap and agency veteran, joined Sonos as CMO in November 2025 to lead the brand's recovery from a botched app redesign. She is eschewing traditional agencies in favor of an in-house creative department and creator partnerships. Her first campaign, 'Feel the System', focuses on emotional benefits rather than specs. Sonos is also opening a 'creative cultural space' in New York for co-creation. DeCourcy aims to rebuild trust and brand recall, which suffered after the 2024 crisis.

• Colleen DeCourcy joined Sonos as CMO in November 2025.
• Sonos lost approximately $500 million in market cap and $100 million in revenue due to the 2024 app redesign crisis.
• DeCourcy's first campaign, 'Feel the System', launched in September 2026.

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Qualcomm's Snapdragon 8 Elite Gen 6 Breaks 5 GHz Barrier

Qualcomm has announced two new flagship smartphone processors at its Snapdragon Summit 2026: the Snapdragon 8 Elite Gen 6 and the Snapdragon 8 Elite Extreme Gen 6. The Gen 6 is the first smartphone chip to reach 5 GHz clock speed on its prime cores, a milestone previously associated with PCs. The chip offers a 10% increase in compute performance or 37% better energy efficiency at the same performance, and a 35% faster Adreno GPU, enabled by a new 2nm manufacturing process, likely TSMC's N2P. The Extreme variant enhances the GPU with three matrix cores for AI-based gaming upscaling and frame generation, a feature Qualcomm calls 'Neural Fusion.' First devices featuring these chips are expected soon, with Xiaomi and Motorola among the first to announce models.

• Qualcomm unveiled the Snapdragon 8 Elite Gen 6 and Snapdragon 8 Elite Extreme Gen 6 at its Snapdragon Summit 2026.
• The Snapdragon 8 Elite Gen 6 is the first smartphone chip to reach 5 GHz clock speed on its prime cores.
• The Gen 6 chip offers 10% more compute performance or 37% higher energy efficiency at the same performance compared to the previous generation.

Xiaomi MiMo-V2.6-Pro tops open-weight AI models

Chinese electronics giant Xiaomi released its MiMo-V2.6 series of open-weight AI models under the MIT license on Hugging Face. The flagship MiMo-V2.6-Pro scored 46 points on the Artificial Analysis Intelligence Index, making it the highest-ranked open-weight model globally, surpassing GLM-5.3 and Kimi K3. It trails only proprietary models like Claude and GPT-6, ranking sixth overall. The model features a sparse mixture-of-experts architecture with 1.02 trillion total parameters (42 billion active), supports text, image, speech, and video input, and offers a one-million-token context window. Xiaomi trained the models using scaled reinforcement learning, live-streaming the production run and releasing weights, technical reports, and training code. The series also includes MiMo-V2.6-Flash and a faster UltraSpeed variant. API pricing remains unchanged from the previous generation.

• Xiaomi released MiMo-V2.6-Pro, the top open-weight AI model with 46 points on the Artificial Analysis Intelligence Index.
• The model has 1.02 trillion parameters (42 billion active), a 1 million token context window, and multimodal input.
• Xiaomi trained the models using reinforcement learning over 750,000 trajectories in under six days.

Xiaomi MiMo-V2.6-Pro tops open weights, trained for $3M

Xiaomi released MiMo-V2.6-Pro, a natively omnimodal open-weights model with 1.02T total / 42B active parameters, trained for $3M (about 130 hours and 75B tokens). It debuts as the top open-weights model on Artificial Analysis' Intelligence Index (46) with cost efficiency at $0.435/M input and $0.87/M output tokens, under an MIT license. Xiaomi also open-sourced the RL training environment code and recipes, but not the full 7k+ task datasets, signaling an emphasis on transparency in RL training.

• Xiaomi released MiMo-V2.6-Pro and MiMo-V2.6-Flash, natively omnimodal open-weights models.
• MiMo-V2.6-Pro has 1.02T total / 42B active parameters and tops the Artificial Analysis Intelligence Index at 46.
• RL training run cost $2.6M, used 75B tokens over 130 hours.