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Is the world safer from AI risk after Trump-Xi summit?

Analysts said runaway AI is a shared threat to the US and China, but both see AI as key to economic and military competition, making deep cooperation unlikely soon. An Anthropic researcher resigned this month over safety concerns, and an executive posted on X that there is a 10% chance AI could kill all humans this decade.

ABC News - Breaking News, Latest News and Videos ·

Anthropic IPO filing shows $4.6B revenue, over $8B loss

Anthropic's IPO prospectus shows 2025 revenue grew 12-fold to nearly $4.6 billion on an operating loss above $8 billion and a $42 billion net loss, with $20.28 billion in cash and short-term investments. It has committed $518 billion to computing over a decade, about 80% non-cancelable, and could be valued above $2 trillion.

PYMNTS.com ·

OpenAI Annualized Revenue Nears $70 Billion

Citing unnamed people familiar with the matter, Axios reports OpenAI is on track for nearly $70 billion in annualized revenue, driven by strong business and consumer adoption. If accurate, that scale would make it one of the highest-revenue AI companies.

Bloomberg ·

Marissa Mayer launches Dazzle, a photo-based AI assistant

Former Yahoo CEO Marissa Mayer unveiled Dazzle, a personal AI assistant whose context comes entirely from the user's camera roll, inferring hobbies, food preferences and companions, and handling tasks like building a calendar from an event flyer. The product raised an $8 million seed round last December; her earlier startup Sunshine shut down its Shine photo tool.

TechCrunch ·

Speaker Johnson hopes AI guardrails will be 'voluntary'

US House Speaker Mike Johnson said he hopes AI guardrails will be 'voluntary' and that industry sees the writing on the wall. He is set to meet executives including Anthropic's Dario Amodei, Meta's Mark Zuckerberg and Alphabet's Sundar Pichai, plus Trump, in Washington. Congress remains in early stages of AI legislation and leaves session this week until after November's election.

CNBC ·

Jeeves: Reasoning Improves Jev-Like Decision Models

A developer released Jeeves, a Jev-like decision model built on Qwen3.5-9B with LoRA, a pointer head, CISPO training, and a block-4 diffusion drafter. It scores 0.889 on unseen test data versus 0.822 for Kev-9B and 0.857 for Jev, and 0.935 on JevBench's public hard tier; latency on one H100 is about 0.3s without thinking and 3.3s median with it, with code, weights, and data open-sourced.

Hacker News ·

Raschka Traces Evolution of Text Classification Models

Sebastian Raschka published a visual guide tracing text classification from bag-of-words through RNNs, CNNs, Transformers and Jev-like APIs to calibration, arguing the recently released Jev is essentially a classifier that is faster and cheaper than general LLMs yet more general than task-specific models; the article is not an endorsement.

Hacker News ·

UPV AI Model Hits 89% Accuracy in Atrial Abnormality Detection

Researchers at Spain's Universitat Politècnica de València (ITACA) developed a graph neural network model that uses surface electrical recordings to localize atrial cardiomyopathy tissue abnormalities, achieving 89% accuracy in localization and 84% in damage extent, including on unseen anatomical structures. Published in Discover Computing, it remains a proof of concept on simulated data and needs validation on real patient records before treatment-planning use.

Newswise ·
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