OpenAI announced on March 24th the closure of its AI video generation platform Sora and the termination of its $1 billion partnership agreement with Disney. CEO Sam Altman stated that the company will shift its strategy towards enterprise level productivity tools and coding tools, and the Sora team will turn to world simulation research for long-term development of robotics technology, in preparation for the planned IPO.

On March 22, Musk officially announced the Terafab chip manufacturing project in Austin, Texas, with a joint investment of $25 billion from Tesla, SpaceX, and xAI. The goal is to produce chips that support 100-200 gigawatts of Earth computing power and 1 terawatt of space computing power annually. Sequoia Capital partner Shaun Maguire publicly supports it, asserting that 'xAI will win the AI race'.

Observable startup Dash0 has completed a Series B funding of $110 million, with a valuation of $1 billion, becoming a unicorn. The company is building an AI driven observability platform based on OpenTelemetry, challenging traditional vendors such as Datadog with the Agent0 intelligent agent system, and has served over 600 enterprise clients such as Zalando and Taco Bell.

Meta has recruited the Dreamer entire team, an AI intelligent agent startup, through the "acqui hire" approach, including well-known executives such as former Stripe CTO David Singleton and former Google Android Vice President Hugo Barra. The team will join Meta Superintelligence Labs and be responsible for developing personal AI agents. The transaction does not include technical assets, Meta only obtains technical authorization.

The top secret memo from the Deputy Secretary of Defense of the United States has been exposed, officially designating Palantir's Maven AI system as a "Program of Record", making it a core military system of the US military. The system has supported thousands of precision strikes in operations against Iran, integrating Palantir technology with Anthropic's Claude AI model.

OpenAI plans to expand its employee base from 4500 to 8000 by the end of 2026, achieving nearly doubled growth. The new employees will mainly be invested in product development, engineering, research, and sales departments to cope with the increasingly fierce competition in the enterprise AI market.

Apple is about to release Apple Intelligence 3.0 in iOS 27, with the core highlight being the "Siri native orchestration" feature, which enables Siri to natively coordinate complex tasks across multiple applications. The new version transforms Siri into a complete chatbot, supporting continuous conversation, text input, screen sensing, and deep application integration. It is internally codenamed "Campos" and is expected to be officially released at WWDC 2026.

OpenAI announced Sora 2 API is now available to all developers with a 50% price cut, starting at $0.10/second for 720p. It retires Sora 1 on March 13, 2026, positioning Sora 2 against competitors and democratizing AI video generation for startups and individual creators.

Alibaba has officially launched the full public beta of Qwen 3.5, its latest flagship multimodal AI model. Featuring ultra-long video perception supporting up to two hours of continuous footage, it adopts a 397B-parameter sparse MoE architecture with a 1M-token context window and multilingual OCR. Delivering 19x faster inference and 60% lower cost, Qwen 3.5 serves as a strong competitor to GPT-5.2 and Claude 4.5, available via Qwen Chat, Alibaba Cloud API, and open-weight downloads.

OpenClaw, the world's largest open-source AI agent framework (over 214,000 GitHub stars), is facing a critical security crisis: over 230,000 AI instances are exposed on the public internet with unencrypted communications. China's Ministry of State Security issued an urgent warning, noting the framework’s fundamental vulnerability enables remote code execution via prompt injection, classified as "critical". Global organizations are urged to audit their deployments and implement security measures or adopt alternatives like NemoClaw.

Microsoft Research and Huawei jointly announced a key commercial milestone for 1-bit large language models (LLMs), stating that BitNet b1.58 technology has realized the efficient deployment of large-scale models on edge devices equipped with Huawei's latest Kirin chips and Qualcomm's Snapdragon platforms. Supported by BitNet's innovative ternary weight architecture {-1, 0, 1}, the technology reduces the model's memory footprint by over 70% and consumes only 0.028 joules per inference, enabling large-scale LLMs to run on consumer mobile hardware without relying on cloud connectivity. This breakthrough optimizes the economics of on-device AI, making high-performance model capabilities accessible on smartphones and tablets without the need for data center infrastructure or network latency.

**Together AI**, as a diamond sponsor of **NVIDIA GTC 2026**, is showcasing its latest research and product innovations at Booth #1213 in San Jose from March 16 to 19. Today’s updates focus on open-source LLMs, voice AI capabilities, production-grade inference, and AI factory infrastructure. Key announcements include **FlashAttention-4** (up to 1.3× faster than cuDNN on NVIDIA Blackwell), the open-source **ThunderAgent** for agentic workloads (delivering a 3.6× throughput improvement), the **ATLAS-2** adaptive learning speculator, and a full-featured voice AI stack supporting real-time speech-to-text and text-to-speech. Together AI demonstrates how enterprises can transition from AI experiments to production deployment in minutes using its GPU clusters and inference platform.