
Safe Superintelligence, a Silicon Valley-based AI startup, has announced a $5 billion investment from Nvidia. This funding is part of a long-term partnership aimed at accelerating the startup's growth by enhancing its compute resources. Founded by OpenAI co-founder Ilya Sutskever, Safe Superintelligence is focused on foundational AI technologies. The deal highlights the critical role of compute power in the development of advanced AI systems.
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© Crunchbase NewsAntora Energy has secured $550 million in a Series C funding round, marking one of the largest cleantech investments this year. The company, known for its thermal battery technology, aims to accelerate the deployment of large-scale energy projects to meet the growing demand from AI-driven data centers. Antora's technology stands out by storing electricity as heat in solid carbon blocks, offering a versatile and rapid deployment solution without relying on critical minerals. This funding positions Antora to significantly impact the energy landscape, particularly in sectors like data centers and industrial manufacturing.
© Crunchbase NewsCentralize, a new startup founded by former Meta and Slack engineers, has emerged from stealth with a $15 million Series A funding round led by New Enterprise Associates. The company aims to revolutionize enterprise sales with its 'deal GPS' platform, which uses AI to map and manage key relationships within target companies. This approach addresses the 'multi-threading' problem by identifying and engaging all necessary stakeholders. With rapid revenue growth and a notable client roster, Centralize is poised to change how sales teams navigate complex enterprise deals.
© TechCrunch AIGoogle's recent addition of AI-generated imagery to Google Earth was quickly retracted due to concerns over misinformation. The Nano Banana 2 AI image generator allowed users to overlay fabricated images on satellite maps, raising alarms about the potential misuse of such a tool. Critics argued that this could compromise Google Earth's reputation as a reliable source of visual evidence. Google's prompt removal of the feature underscores the delicate balance between technological advancement and ethical responsibility in AI development. The company plans to strengthen safeguards before considering a future release.
© The AI Daily BriefSam Altman visited Washington to discuss AI model releases and safety testing.
© GitHub ChangelogGitHub is introducing a public preview of user-based model policy targeting for its Enterprise customers using Copilot Business or Enterprise licenses. This new feature allows AI administrators to set model access at a more granular team level, rather than just organization-wide, enabling tailored access based on job roles or experimental needs. This shift towards team-level governance offers a more precise control over model deployment, aligning with how teams operate in practice. The rollout is gradual, with most enterprise customers able to opt-in starting August 3rd, marking a significant step towards more flexible AI model management.