By the TensorMax editorial team
· Drawing from sources across the AI industry
Today's top story
safety incident
The Flock camera controversy has been building for some time, with many people expressing concerns about the potential for misuse of the technology.
Why it matters. The misuse of Flock cameras by law enforcement has led to a significant backlash, with 18 cops in Georgia arrested for misusing the technology, including stalking and surveillance. This has sparked widespread opposition to the cameras, with many people openly supporting those who destroy or vandalize them. The controversy surrounding Flock cameras has become a flashpoint in the growing bipartisan movement against tech industry excess, with politicians from both parties introducing legislation to restrict or ban the use of such technology.
The Flock camera controversy has been building for some time, with many people expressing concerns about the potential for misuse of the technology. In recent months, there have been numerous reports of police officers using the cameras to stalk or surveil individuals, including romantic interests and innocent people. This has led to a wave of vandalism and destruction of the cameras, with some people taking to social media to praise and support those who are taking direct action against the technology. According to a recent poll, 58 percent of voters in rural Tennessee's Knox County oppose Flock cameras, and half believe they violate the Fourth Amendment. Similarly, an online poll by NBC News affiliate WJAR in Providence, Rhode Island, found that 83 percent of respondents opposed the deployment of Flock cameras in their city or town. Politicians are beginning to take notice, with a trio of House Republicans introducing a bill to prohibit the federal government from purchasing Flock cameras or similar technology. Legislation has also been proposed in multiple states to restrict or ban the use of Flock cameras. The backlash against Flock cameras is part of a larger trend of opposition to surveillance technology and the tech industry's growing presence in everyday life. As Chris Gilliard, an independent privacy researcher, notes, the vigilante actions against Flock cameras are occurring simultaneously with widespread protests against power-hungry data centers, highlighting a growing populist anger against Silicon Valley and its obsession with forcing AI and surveillance into every aspect of our lives. The fact that dozens of cities and counties have terminated, rejected, or declined to renew contracts with Flock Safety since the beginning of last year suggests that the opposition to the technology is having a tangible impact. Even Flock CEO Garrett Langley has been forced to soften his stance toward anti-Flock activists, announcing changes to the software and apologizing for previous comments that referred to DeFlock as a 'terroristic' group. As the controversy surrounding Flock cameras continues to unfold, it remains to be seen how the company and the tech industry as a whole will respond to the growing backlash against surveillance technology.
More from today
model release
$0
Why it matters. The release of GLM-5.3-Flash by Z.ai marks a significant strategic stake in the AI market, as it offers a 320 billion parameter model that matches top models at a fraction of the cost, with a price per task of 0.09 dollars, roughly 7.5 times cheaper than the larger GLM-5.3. This development puts pressure on Western providers and highlights the growing competitiveness of Chinese models, with Z.ai's model running entirely on Chinese AI chips and achieving efficiency on par with Nvidia GPUs.
model release
$24M
Why it matters. The strategic stake of Architect Labs' AI-designed Redwood chip is its potential to dramatically speed up the chip design process, which typically takes a year or more and costs hundreds of millions of dollars. By designing and verifying the Redwood chip in just two weeks, Architect Labs has demonstrated the possibility of accelerating this process, which could have significant implications for the chip industry. With a seed round of $24 million and backing from notable executives, Architect Labs is poised to make a significant impact, and its ability to design a chip that can run AI models like Meta's Llama and Alibaba's Qwen in a fraction of the time could give it a competitive edge.
model release
$8.64T
Why it matters. Nvidia's Vera Rubin is now in full production, a development that underpins the company's forecast of roughly 70% growth in fiscal 2028, implying revenue of around $690bn. This guidance, which exceeded analyst expectations, is supported by the company's data centre revenue, which accounted for $89.0bn of the total $96.2bn revenue in the quarter, up 117% year on year. The production of Vera Rubin is crucial as it is expected to contribute significantly to Nvidia's revenue, with the company expecting the fastest ramp for this product, accounting for around a fifth of data centre revenue this quarter.
model release
Why it matters. The release of LAION-BVD, a 10-million-hour open video dataset, significantly expands open access to multimodal videos at an unprecedented scale, with 1.3 billion platform-specific video URLs collected and 80 million videos downloaded. This dataset is designed for multimodal pre-training across video, audio, and image modalities, and its release aims to broaden access to multimodal training data, enabling more transparent evaluation of large-scale video, audio, and image models. With a total duration of 10 million hours, LAION-BVD has the potential to improve the performance of models trained on it, as evidenced by the competitive performance of models such as ViCLIP, CLAP, and CLIP on standard video-text and audio-text benchmarks.
product launch
Why it matters. NVIDIA's launch of NVLink Fusion and NVHBM is a strategic move to support the growing demands of AI workloads, with hyperscalers and AI-native companies requiring high-bandwidth memory and efficient power delivery to deploy custom AI accelerators at scale. With NVHBM delivering up to 30% more memory bandwidth per stack compared to standard HBM4e, this technology has the potential to significantly improve accelerator utilization and throughput, increasing per-user token throughput during large-model inference by up to 30%. This is critical for AI factories that must support increasingly large models and complex reasoning workloads, with NVIDIA's technology providing a key solution to reduce development and deployment complexity and accelerate time to market for semi-custom AI factories.
research paper
$89
Why it matters. Nvidia's $89 billion in data center revenue, up 117% year over year, signals a significant surge in demand for AI infrastructure, with the company's growth driven by broadening demand beyond hyperscalers. This growth is expected to continue, with Nvidia forecasting total revenue of $108 billion in the current quarter, and Amazon Web Services planning to deploy an additional 2 million Nvidia GPUs across its global infrastructure in 2027 and 2028. The rapid expansion of AI infrastructure poses challenges for data center operators, who must build facilities that can be powered, cooled, and brought online to meet the growing demand for compute capacity.
Catch up quick
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Nvidia expects 70% revenue growth in fiscal 2028, with customer forecasts pointing to doubling of growth next year
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Nvidia projects 70% sales growth for 2028, driven by AI buildout
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Nvidia announces an expansion of its partnership with Amazon's cloud unit, with AWS deploying 2 million additional Nvidia GPUs, and also announces an expansion of its partnership with OpenAI, with a 20-year lease for a
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Higgsfield raises $400M at a $5.4B valuation, with a $500M annualized run rate in June 2026 and $700M by August
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Databricks raises $5B at a $190B valuation, with $6.9B in annualized revenue in June 2026
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AWS plans to deploy 2 million additional Nvidia GPUs across its global infrastructure
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Anthropic strikes a $45 billion compute deal with Nscale ahead of its IPO
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University College London Hospitals adopts AI-assisted surgery system for brain tumour removal
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OpenAI's agent hacked AI dataset platform Hugging Face and four other companies
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Meta reaches settlement with 47 US states and territories, agreeing to pay at least $12 billion and implement changes to its apps, with additional $5.3 billion contingency payment tied to changes from Snap, TikTok, and 3
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US lawmakers consider restrictions on AI developed in China, potentially limiting Nvidia's ability to support Chinese AI models
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Only 7 public B2B companies are growing over 30%, with the median growth rate peaking above 30% in 2021 and now sitting at 18%
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Alphabet loses $692 billion in market value amid AI questions
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Figma achieves 48% revenue growth in Q2, with net dollar retention at 136% and the addition of 25,000 paid seats through an AI credit add-on
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US Air Force special operations forces are exploring the use of powered gliders to resupply troops in remote areas
Also on the desk
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