Real-Time Intelligence

All the buzz. None of the noise.

Every morning, know exactly which AI releases, papers, and funding rounds actually matter to your work — and why. Confirmed facts separated from official claims. No duplicates. No hype. Just the signal — for builders, researchers, and investors.

1.3K
Active Events
15
Models Tracked
898
Papers Indexed
43.3K
Sources Monitored
8 frontier lab official feeds monitored
17 reputable press & newsletter sources
arXiv cs.AI, cs.LG, cs.CL, cs.CV indexed
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Not another dashboard. A decision layer that surfaces what changed, why it matters, and what you should do differently — specific to your role.

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Before

Checking 6 model pricing pages, 3 benchmark leaderboards, and 4 release blogs every morning.

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One matrix. Every model's cost, context window, and benchmark delta — updated automatically. Know when to switch stacks before your competitors do.

Model Command Center
Researcher
Before

Reading the same paper covered by 12 different blogs, none of which mention the reproducibility caveats.

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Core claim, method highlight, and limitations — in 30 seconds. Sourced from arXiv directly. No hype layer, no secondary summaries.

Research Reality Cards
Investor
Before

Missing funding rounds buried in press releases, with no context on what the lab actually shipped.

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Every capital event linked to the lab's prior releases, benchmarks, and competitive positioning. Confirmed facts separated from official claims.

Entity Profiles

Active Intelligence Feed

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Emerging

Pinal: A Natural Language Protein Design Tool by Chinese Researchers

A collaboration of researchers in China has developed a protein design tool called Pinal that utilizes natural language prompts to generate protein sequences. The tool employs a two-step process involving a text-to-structure module and a sequence construction system, allowing users to specify desired protein functions without needing extensive technical knowledge. This approach aims to democratize protein design by making it more accessible to non-experts.

70%
6m ago
Emerging

Anthropic IPO Prospectus Reveals Losses and AI Risks

Anthropic's IPO prospectus highlights significant financial losses, with an operating loss exceeding $8 billion in 2025 despite a twelvefold revenue increase to nearly $4.6 billion. The document also raises concerns about the potential risks of its AI models, including behaviors that could threaten humanity. CEO Dario Amodei has emphasized the need for caution in AI development, aligning with other industry leaders on the importance of addressing these risks.

80%
6m ago
Developing

Delaware Proposal for AI-Operated Companies (Artificial Intelligence Company - AIC)

Delaware is proposing a new corporate entity known as an Artificial Intelligence Company (AIC) that would allow AI agents to manage businesses without human oversight. This initiative aims to provide legal protections for human owners against liabilities incurred by the AI's actions. The proposal has raised concerns about potential abuse and regulatory implications.

70%
6m ago
Developing

Google AI Mode's Evasive Responses on 2020 Election Results

Google's AI Mode provides indirect answers regarding the winner of the 2020 presidential election, directing users to consult official sources like the Federal Election Commission. This cautious approach contrasts with responses from other AI models, which readily provide direct answers. The AI's behavior appears to vary based on the election year and the user's location.

70%
6m ago
Developing

Google announces Gemini 4 Argon AI model, but you can't use it yet

Google has introduced the Gemini 4 Argon AI model, which is claimed to offer industry-leading performance in coding, knowledge work, and cybersecurity. However, access to the model is currently limited to internal engineers and a small group of trusted testers, with no public availability timeline announced.

80%
6m ago
Confirmed

Ralph Earle's Transition from Software Engineering to Poetry

Ralph Earle, a former senior software engineer at IBM, has transitioned to a successful career as a poet after retiring in 2017. He has published two poetry collections and has been recognized with multiple nominations for the Pushcart Prize. Earle continues to engage with the literary community by co-managing a poetry series in Chapel Hill, N.C.

90%
6m ago
Open source signal

Open Source AI News

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