OpenAI's confidential S-1 kicks off what could be the largest tech IPO in years. Meanwhile, Anthropic closes in on a $900B valuation, and new research shows leading AI models can now discover and exploit vulnerabilities autonomously.
OpenAI filed its confidential S-1 on May 22 while Anthropic closes a $30B round at a $900B valuation, projecting Q2 revenue of $10.9B. The two largest frontier labs are now locked in a capital arms race with public market implications.
Washington and Beijing have agreed to establish a structured AI governance dialogue, the first bilateral framework of its kind. The talks come as frontier model capabilities in cybersecurity raise urgent questions about international norms.
OpenClaw chains models and APIs into repeatable agent workflows. Google Stitch and DESIGN.md let you hand brand systems directly to AI agents. Vidocu turns raw screen recordings into polished tutorials automatically.
OpenAI filed a confidential draft registration statement (S-1) with the SEC on May 22, signaling the start of a formal public listing process. The filing makes OpenAI one of the most valuable companies ever to pursue an IPO, following its recent $852 billion valuation. Separately, OpenAI's Codex...
Continue Reading arrow_forwardOpenAI has submitted confidential IPO paperwork to the SEC, marking the most consequential AI public offering since the generative boom began.
Russia launched a large-scale combined missile and drone strike on Kyiv, escalating aerial attacks amid stalled diplomatic efforts.
Fear dominates sentiment as investors weigh sky-high AI valuations against rising geopolitical risk and unresolved conflicts across multiple theaters.
New evaluations show frontier models developing advanced cyber offense capabilities, raising the stakes for the freshly announced U.S.-China AI governance dialogue.
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Fear & Greed
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Fear
OpenAI's Path to Public Markets
OpenAI's confidential SEC filing signals the company is preparing for what could be the largest tech IPO in years. The move comes as rival Anthropic nears a $900 billion valuation and reports its first operating profit, suggesting the market believes generative AI companies can build durable businesses. How public investors price OpenAI will set the benchmark for the entire sector.
Frontier Models as Cyber Weapons
Research now confirms that leading AI models possess advanced offensive cybersecurity capabilities, including vulnerability discovery and exploit generation. This finding lands at a politically sensitive moment: Washington and Beijing just agreed to open a formal AI governance dialogue. Whether that channel can produce meaningful safeguards before autonomous cyber tools proliferate remains an open and urgent question.
U.S.-China AI Governance Talks
The agreement between China and the United States to establish a structured AI governance dialogue is the first bilateral framework of its kind between the two leading AI powers. The talks will need to address military applications, model export controls, and safety standards simultaneously. Success is far from guaranteed, but the alternative, a complete regulatory vacuum between rivals, carries far greater risk.
Anthropic is closing a $30 billion funding round co-led by Sequoia, Dragoneer, Greenoaks, and Altimeter at a valuation exceeding $900 billion, which would surpass OpenAI's March valuation for the...
BuildFastWithAI
Model ReleaseGoogle's I/O 2026 keynote on May 19 introduced Gemini 3.5 Flash, now powering Google Search, and Gemini Omni, a unified text, image, and video generation model available to paid Gemini...
Unrot
Politico reported that security researchers testing Anthropic's Mythos and OpenAI's GPT-5.5 found both models demonstrate unusually strong offensive cyber capabilities. Testers described Mythos as a "game-changer" for exploit generation,...
Politico
PolicyChina's Foreign Ministry confirmed that Xi Jinping and Donald Trump discussed AI regulation and agreed to pursue dialogue and cooperation on AI governance. The announcement, reported May 19, represents one of the most significant geopolitical AI...
BuildFastWithAI
PolicyThe New York Times reported on May 24 that the UK's AI Security Institute, staffed by alumni from OpenAI and Google, is emerging as a template for countries grappling with AI's risks. The institute is actively hunting for dangers in frontier AI...
The New York Times
HardwareAt I/O 2026, Google revealed smart glasses hardware partnerships with Samsung, Warby Parker, and Gentle Monster, targeting a fall 2026 launch. The glasses are expected to integrate with Google's Gemini AI ecosystem. Google also announced Ask...
Unrot
PolicyPope Leo XIV published the first-ever papal encyclical on artificial intelligence on May 25, co-presented with an Anthropic co-founder. The document addresses the moral and ethical dimensions of AI development and deployment. The encyclical...
BuildFastWithAI
Iranian President Masoud Pezeshkian said Iran will not "trade dignity" for a deal but signaled willingness to offer guarantees on its nuclear program. President Trump said an agreement is "almost...
ConflictFive Palestinians were killed in new Israeli strikes across central and northern Gaza, including three members of the same family. In Jabalia, two more Palestinians, including a child, were...
OpenClaw is a custom AI agent builder that lets you wire together multiple models, external tools, and APIs into repeatable automated workflows. Use it to spin up research bots, project management agents, or internal automation pipelines without writing glue code from scratch. Ideal for teams that want agentic capabilities but need more control than off-the-shelf copilots provide.
Google Labs launched Stitch alongside DESIGN.md, a machine-readable design system manifest that AI tools can parse natively. Upload your brand tokens, component specs, and layout rules as a DESIGN.md file, then let Stitch generate UI prototypes that stay on-brand without manual correction. This is the fastest path right now from design system to agent-friendly handoff.
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Anthropic
Google DeepMind
OpenAI's S-1 and Anthropic's $900B round signal that the era of private-only frontier AI is ending. Public markets will demand transparency on revenue, safety, and capability risks, especially as research confirms models can now autonomously discover exploits. For builders, this means the tools and norms you adopt today will operate under far greater scrutiny tomorrow. Lock in your workflows, document your safety assumptions, and treat every agent pipeline as something an auditor might eventually read.
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