Dr. Kobsak Pootrakool, Vice Chairman of Bangkok Bank, or BBL, said in a personal Facebook post that the race for leadership in artificial intelligence between the United States and China is intensifying, with the US confident it still leads China by roughly 6 to 12 months and ready to accelerate technology development to preserve that lead, a factor that will be key in shaping the direction of the global economy and in gaining an edge in geopolitical competition. President Donald Trump invited leading private-sector figures in AI to discuss ways to maintain US leadership alongside building confidence in AI safety and developing infrastructure, especially data centers, which must win acceptance from local communities. Dr. Kobsak said that although the US has funding to support AI development, it faces pressure from safety concerns and community impact, as well as opposition to data center construction in many areas. As a result, the White House Accord on Super Intelligence was drawn up under a Joint Commitment on Frontier Responsibilities, joined by leading companies including Google, Anthropic, Meta, OpenAI, xAI and Nvidia. It is a voluntary safety agreement, which President Trump described as a moral commitment by AI developers that could later be developed into law or regulation. There are also guidelines setting out a four-layer AI safety review system: controlling and monitoring model operations within organizations, setting up internal teams to review and fix flaws, assessment by independent external auditors, and oversight by independent company boards. At the same time, the US is supporting the expansion of data centers by setting guidelines for project developers to deliver benefits to communities, in areas such as education, quality of life, financial support and reducing the tax burden on local residents. President Trump also favors having government agencies rename AI as Super Intelligence, or SI, and plans to set up an AI Board, a committee of about 10 people to oversee and accelerate AI development, as well as to announce a new person in charge of AI policy. Details of the names and their powers still need to be followed. Dr. Kobsak views that the race for AI supremacy is entering a crucial phase, in which the ability to manage safety risks and social impact will be a key condition for accelerating technology development, which could affect the global economy and people's lives going forward.
Anthropic joined the White House voluntary AI safety accord, a regulatory/commitment framework whose impact on the company is unclear.
OpenAIPrivate▲ Positive
Regulationrelevance
OpenAI joined the White House voluntary AI safety accord, gaining legitimacy and a role in shaping forthcoming AI regulation.
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NVIDIA and Sapphire Ventures Join Reactor's Series A Round
Reactor, the developer platform for real-time generative video and world models, announced that NVIDIA and Sapphire Ventures have joined its Series A round, which is led by Lightspeed Venture Partners. The company said the investment comes as demand grows for infrastructure capable of running increasingly powerful world models in real time. Reactor's proprietary inference engine, global GPU cloud and low-latency streaming layer let developers and enterprises run models at 60+ FPS and sub-40ms latency through a unified SDK and API. The platform is already used across media and entertainment, where major Hollywood studios, advertising platforms and video streaming services have active projects, and by leading world model labs in the U.S. and internationally. Reactor was co-founded by CEO Alberto Taiuti and CTO Bryce Schmidtchen, both former technical leads on Apple Vision Pro, and its team includes engineers and researchers from Apple, Meta, Google, Adobe, Replicate and Microsoft.
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Reactor · Capital · Positive Reactor raised a Series A led by Lightspeed with NVIDIA and Sapphire Ventures joining, funding its real-time world-model platform.
NVDA · Capital · Positive NVIDIA joined Reactor's Series A round, an investment in the real-time generative video platform.
Lightspeed Venture Partners · Capital · Neutral Lightspeed Venture Partners leads Reactor's Series A round, but no financial terms or impact details are given.
Sapphire Ventures · Capital · Neutral Sapphire Ventures joined Reactor's Series A round, with no terms or specific impact disclosed.
Deutsche Bank Sees Meta Muse Driving Up to $36.3 Billion in Sales by 2030
Deutsche Bank has laid out three scenarios for Meta Muse, forecasting that the product could generate $36.3 billion in sales by 2030 in its most optimistic case. The middle case projects about $10.7 million, while the base case puts revenue potential at roughly $2.4 billion. The forecasts were detailed on page seven of a Deutsche Bank note, and Yahoo Finance Executive Editor Brian Sozzi said he double-checked the top figure to confirm it was $36.3 billion and not $36.3 million. Sozzi noted Meta's stock has climbed roughly 23 to 24 percent over the past month on optimism about Muse, citing strong downloads and early use cases. He also discussed Meta's talent push, including the hiring of the former MongoDB chief executive, with a former Meta chief technology officer who said Mark Zuckerberg personally recruits key leaders.
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Spatial Computing / AR/VR › AI / AR Smart Glasses Demand
META · Capital · Positive Deutsche Bank's bullish scenario forecasts up to $36.3 billion in Meta Muse sales by 2030, an analyst valuation call on Meta.
DBK.XETRA · · Neutral Deutsche Bank is cited only as the author of the Meta Muse research note, with no impact on the bank itself.
Bloomberg Intelligence: US AI Lead Over China Narrows to 3%
The US lead over China in artificial intelligence has narrowed to just 3%, according to new benchmarking data from Bloomberg Intelligence. That edge stood at 9% in May and 15% earlier this year, meaning the gap is closing very quickly. Much of China's progress comes from open weight models that are cheaper to produce and freely accessible, unlike the closed weight models from US companies such as Anthropic and OpenAI. The administration's hope has been that cutting off China's access to Nvidia's best chips would preserve the US advantage, but the silicon is already cut off and Chinese labs are still advancing rapidly. Meanwhile, Nvidia-backed US startup Reflection is pitching its open weight model as a domestic alternative for companies that want to build custom AI without relying on Chinese-based models.
Artificial Intelligence › AI Compute & Accelerator Silicon Competition
Reflection AI · Competition · Positive Nvidia-backed Reflection is pitching its open weight model as a domestic alternative for companies wanting custom AI without relying on Chinese-based models.
NVDA · Competition · Negative US AI lead over China narrows to 3% as Chinese labs advance despite Nvidia's best chips being cut off, and Reflection pitches an open-weight domestic alternative to Chinese models.
New York City Council Weighs AI Safety Rules as Data Center Buildout Forecasts Diverge
The New York City Council will hold a hearing today where Jacob Coxon, the former Anthropic researcher whose viral prediction about AI risk set off a broader fear cycle, will testify in front of the city council alongside other whistleblowers including Alex Turner from DeepMind and Daniel Cocatajalo from OpenAI, while Anthropic, OpenAI, Meta and Google send representatives and SpaceX has been subpoenaed. The council is debating a sweep of proposals, including third-party validation of new models with a human-operated shutdown mechanism, a private right of action for foreseeable harm from third-party misuse, and whistleblower bounties paying 25% of proceeds if the city acts and 50% if designated to serve and sue. On the data center buildout, Bernstein and Goldman Sachs published new notes tracking gigawatt estimates, with the two landing in similar places: they look at about 18 gigawatts added this year, Goldman's at 26 for next year, and Bernstein's at 25, even amid regional political pushback. Bernstein surveyed 63 forecasts from 40 sources and found the range for gigawatts by 2030 runs from 59 to 186, while only 38% of projects on the books are expected to actually get built. In Washington, President Trump's super intelligence force will be led by Director of National Intelligence Jay Clayton, Pentagon Undersecretary Andrew Ferguson, Chief Technology Officer Emil Michael and OPM Director Scott Cooper, with a report due in 120 days to President Trump and Chief of Staff Susie Wiles. Bloomberg Intelligence reports the gap between top US and top Chinese models has narrowed to just 3% for the US edge, down from 9% in May and 15% earlier this year.
Former Anthropic Researcher to Testify at New York City AI Hearing
Former Anthropic researcher Jacob Coxon is set to testify at a New York City Council hearing on AI, alongside Alex Turner from Deep Mind and Daniel Kokotajlo from OpenAI. Anthropic, OpenAI, Meta, and Google will all send representatives to present their side, while SpaceX has not and has now been subpoenaed. The hearing will debate a sweep of proposals, including one that would require third-party validation of new models and a human-operated shutdown mechanism for any AI marketed, offered, sold, or deployed in New York City. The testimony comes as President Trump assembles a super intelligence task force led by director of National Intelligence Jay Clayton, Pentagon undersecretary Andrew Ferguson, chief technology officer Emil Michael, and OPM director Scott Cooper, with a report due to Trump and chief of staff Susie Wiles in 120 days.
Hirundo Releases Westernized Qwen, Cutting CCP-Aligned Answers From 89.8% to 2.8%
Hirundo, an AI safety lab specializing in machine unlearning, released Westernized versions of Alibaba's Qwen open-weight models with Chinese Communist Party political alignment removed directly from the model weights. On Hirundo's evaluation, the original Qwen3.6-35B-A3B produced CCP-aligned censorship, propaganda-aligned framing or political bias in 89.8% of responses across a 500-prompt benchmark, while the Westernized model did so in 2.8%, with reasoning, coding and instruction-following performance essentially unchanged. The reduction held on two external benchmarks, with refusals on DECCP falling from 65.26% to 3.16% and non-compliance on ChinaBench falling from 96.67% to 6.67%, and the same method cut CCP-aligned responses in the much smaller Qwen3.5-4B from 89.2% to 1.2%. On GPQA, IFBench, LiveCodeBench and MMLU-Pro, the Westernized model's scores stayed within 0.72 points of the original model's on average, and its safety and harmfulness benchmark scores also held. Both models are available now on Hugging Face as Qwen3.6-35B-A3B-Westernized and Qwen3.5-4B-Westernized, and Hirundo intends to release its CCPC-500 benchmark publicly.
Artificial Intelligence › Foundation Models & Research Labs Technology
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Hirundo · Technology · Positive Hirundo released its Westernized Qwen models and plans to publish its CCPC-500 benchmark, showcasing its machine-unlearning technology
9988.HK · Technology · Negative Hirundo released Westernized versions of Alibaba's Qwen models with CCP alignment stripped from the weights, undermining Alibaba's model positioning