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Today:

• SoftBank Commits $3 Billion To OpenAI

• OpenAI Trademark Hints at Humanoid Robots

• Anthropic Blocks 95% of AI Jailbreaks

• EU Enforces Landmark AI Regulations

SoftBank Commits $3 Billion To OpenAI

SoftBank will spend $3 billion a year on OpenAI’s technology for itself and its subsidiaries and is also forming a joint venture with OpenAI to sell AI tools in Japan, Cristal Intelligence. The deal boosts OpenAI’s revenue and deepens SoftBank’s relationship ahead of a $40 billion financing that could value OpenAI at $300 billion. Additionally, SoftBank joined with OpenAI and Oracle to raise up to $500 billion for data centers.

OpenAI Trademark Hints at Humanoid Robots

OpenAI filed a trademark application referencing VR headsets, wearable devices, custom AI chips, and user-programmable humanoid robots. The application suggests plans for quantum computing and advanced hardware partnerships, although specifics remain unclear. The startup, led by Sam Altman, has teased potential hardware collaborations with Jony Ive and is assembling a robotics team. While the filing’s language is broad, it indicates OpenAI’s growing global ambitions in consumer electronics and AI-powered robotics.

Anthropic Blocks 95% of AI Jailbreaks

Anthropic introduced "constitutional classifiers" to protect its Claude 3.5 Sonnet AI from jailbreaks, blocking 95% of attempts to bypass safeguards. The system, which aligns AI actions with human values, was trained using over 10,000 jailbreaking prompts. Despite challenges, no "universal jailbreak" was successful in bypassing the model during extensive testing. Anthropic invited external experts to test the system, showing that while jailbreaks still occur, they require significantly more effort.

EU Enforces Landmark AI Regulations

The European Union's AI Act, effective from February 2025, introduces strict regulations on artificial intelligence, including bans on high-risk systems like real-time facial recognition and social scoring. Companies must comply with these restrictions or face fines up to 35 million euros or 7% of their global revenues. Despite concerns from some tech leaders about stifling innovation, the EU aims to set global standards for trustworthy AI with ongoing updates and assessments to ensure safety and ethical use.

🧠RESEARCH

s1: Simple test-time scaling

The paper introduces a simple test-time scaling method to enhance language model performance using extra compute during testing. By curating a dataset and applying "budget forcing" to control computation, the authors improve reasoning accuracy, surpassing previous models by up to 27% on math competitions. The approach is open-source.

Reward-Guided Speculative Decoding for Efficient LLM Reasoning

The paper presents Reward-Guided Speculative Decoding (RSD), a framework that combines a lightweight draft model with a more powerful target model to optimize inference efficiency in large language models. RSD prioritizes high-reward outputs, reducing computational costs and improving accuracy by up to 3.5 points on reasoning tasks.

Self-supervised Quantized Representation for Seamlessly Integrating Knowledge Graphs with Large Language Models

The paper introduces a self-supervised quantized representation (SSQR) method to seamlessly integrate Knowledge Graphs (KGs) with Large Language Models (LLMs). By compressing KG knowledge into discrete tokens, SSQR improves the alignment with language sentences, outperforming previous methods in link prediction and classification tasks with fewer tokens.

DINO-WM: World Models on Pre-trained Visual Features enable Zero-shot Planning

The paper introduces DINO-WM, a world model that predicts future outcomes using pre-trained visual features without reconstructing the visual world. By leveraging DINOv2’s spatial patch features, DINO-WM enables zero-shot planning and generalizes across diverse tasks like maze navigation and object manipulation, without expert demonstrations or reward modeling.

MedXpertQA: Benchmarking Expert-Level Medical Reasoning and Understanding

The paper introduces MedXpertQA, a benchmark for evaluating expert-level medical reasoning. It includes 4,460 questions across 17 specialties and 11 body systems, with two subsets: Text and MM (multimodal). MM features complex clinical questions with images and records. The benchmark enhances clinical relevance and rigorously assesses reasoning models.

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GPTKit  - AI-powered text detection tool designed to distinguish between human-written and AI-generated content with high accuracy.

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Wonder Dynamics - AI-powered visual effects company that revolutionizes the film and entertainment industry.

Watermark Remover IO - AI-powered online tool designed to efficiently remove watermarks, logos, text, and other unwanted elements from images while preserving the original quality.

Typeframes - AI-powered text-to-video creation tool designed to simplify the process of producing engaging video content for platforms like YouTube, Instagram, and TikTok.

📲SOCIAL MEDIA

🗞️MORE NEWS

• Taiwan banned government departments from using Chinese AI service DeepSeek due to security risks, concerns over censorship, and potential data transfers to China. Other countries, including South Korea and France, are investigating its data usage.

• Klarna's CEO, Sebastian Siemiatkowski, warns that AI can replace all human jobs, including his own, and is already reducing the workforce at Klarna. The company uses AI to optimize various roles, saving millions annually.

• The Beatles' AI-assisted track "Now and Then" won the Grammy for Best Rock Performance, marking the first AI-enhanced song to win. The technology was used to clean up a low-quality demo of John Lennon's vocals.