Viptela, Inc. vs Huawei

OpenAI DevDay: New Dots Agents, Funding Talks Unveiled

OpenAI's DevDay 2026 keynote showcased over 20 products, including 'Dots', new always-on AI agents, and 'GPT-6.1 Sol', a successor to the previously launched GPT-6. The company also introduced Pro 500, a new premium tier, and plugin extensions for ChatGPT. CEO Sam Altman confirmed early-stage discussions for a potential funding round that could raise around $30 billion at a $1.4 trillion valuation. OpenAI also announced 'OpenAI Private Intelligence' for enhanced data privacy, and launched collaborative features like ChatGPT Space and Pages. Notably, the company pulled plans to release GPT-6.1 Astra due to safety concerns, and apologized to Australia over unauthorized access to government websites. Altman hinted at new hardware and discussed AI regulation, safety, and competition.

• OpenAI announced 'Dots', always-on AI agents powered by GPT-6 Astra, rolling out to Pro and Business Premium users.
• OpenAI introduced GPT-6.1 Sol, a new AI model, one week after GPT-6, and a new premium speed tier 'Ultrafast'.
• OpenAI is in early talks to raise $30 billion at a $1.4 trillion valuation, per a source.

Small Language Models: When Smaller Is Better

This MLPills newsletter issue explains small language models (SLMs) — compact AI models designed to run under resource constraints such as limited memory, power, and latency budgets. It clarifies that 'small' is a comparative concept rather than a specific parameter count, and distinguishes SLMs from quantized frontier models and distillation. The article covers four main routes to building SLMs: curated data training, distillation, pruning, and quantization, and highlights examples including Microsoft's Phi-4 family, Google's Gemma 3n and Gemma 4 edge models, Hugging Face's SmolLM3, and Cisco's Antares vulnerability-localization models. It describes ideal use cases like classification, entity extraction, and tool selection, and recommends a layered architecture using deterministic code, small models, large models, and human oversight. The piece also cautions about evaluation, over-pruning, and privacy limitations of local inference.

• A 4B parameter model at 4-bit precision needs roughly 2 GB of memory; the same model at 16-bit needs roughly 8 GB.
• Microsoft's Phi-4 is a 14B parameter model, with a 3.8B Phi-4-Mini sibling and a Phi-4-Multimodal variant.
• Google's Gemma 3n models used per-layer embeddings, KV cache sharing, and activation quantization to reduce memory footprints.

Huawei and Qualcomm Sign AI and 5G Patent Deal

Despite trade tensions, Huawei and Qualcomm have signed a cross-licensing agreement covering patents related to AI and 5G technology. The deal, announced in late September 2026, aims to reduce legal disputes and foster innovation. Financial terms were not disclosed. This collaboration is significant as it could stabilize supply chains and set a precedent for tech cooperation amid geopolitical friction, potentially benefiting the broader mobile and AI industries.

• Huawei and Qualcomm signed a cross-licensing agreement for AI and 5G patents.
• The deal was announced in late September 2026.
• Financial terms of the agreement were not disclosed.

Notice on Rotating Chairman Tenure

Huawei has published a press release titled 'Notice on Rotating Chairman Tenure' dated Sep 30, 2026, indicating a change in the rotating chairman position.

Alibaba's T-Head AI Chips: Cloud Customers or Qwen Training?

Alibaba announced at its Apsara conference that its new Zhenwu V900 AI chip will enter mass production and go on sale in Q1 2027, two quarters earlier than planned. This follows Huawei's announcement of its Ascend 960DT chip being ready in Q1 2027. Both companies face high demand and limited supply for their chips. IDC data shows Nvidia holds 55% of China's server AI accelerator shipments, Huawei 20%, and T-Head 7%. Alibaba plans to train Qwen models with 5-10 trillion parameters, but has not disclosed which chips will be used, raising concerns about competition between internal model training and paying cloud customers for scarce chip capacity.

• Alibaba announced its Zhenwu V900 chip will enter mass production and go on sale in Q1 2027.
• Huawei announced its Ascend 960DT chip will be ready in Q1 2027, three quarters earlier than planned.
• IDC reported Nvidia held 55% of China's server AI accelerator shipments in 2025, Huawei 20%, and T-Head 7%.