Funding & Investment - Stripe's Tempo Blockchain raises $500 million [1] Technology & Development - Tempo Blockchain poaches prominent Ethereum developer [1]

Active Learning Methodology - Active learning is presented as an efficient method for building supervised models with unlabeled data [1][4] - The process involves iteratively training a model, identifying low-confidence predictions, and labeling them with human input to improve model performance [2][3][4] - The methodology emphasizes the importance of accurate confidence measure generation for effective training [5] Model Building and Refinement - The initial step involves manually labeling a small percentage of the data to create a seed dataset [2] - Probabilistic models are recommended for confidence level determination, using the gap between the top probabilities as a proxy [3] - Cooperative learning, a variant of active learning, utilizes high-confidence data by incorporating the model's predictions as labels [5] Application and Considerations - Active learning can save significant time when building supervised models on unlabeled datasets [4] - The accuracy of confidence measures is critical, as errors can negatively impact subsequent training steps [5]

Stripe's Tempo blockchain raises $500M at $5B valuationLed by Thrive and Greenoaks with participation from Sequoia, Ribbit and SV Angel https://t.co/urC3GMe8zx ...

Stripe-backed Tempo blockchain raises $500 million Series A at a $5 billion valuation https://t.co/PTsfTp8YJZ ...

imagine being retarded enough to build RPC infra for the most impossible chain in existence where you have 0% of the supply while losing all your hairinstead of just raising billions on the mere idea of a new chaincouldnt be me(it was me)yes I'm totally fineAggr News (@AggrNews):STRIPE BACKED TEMPO RAISES $500M AT $5B VALUATION: FORTUNE ...

According to Fortune, blockchain startup Tempo, backed by Stripe and Paradigm, has raised $500 million in a Series A round at a valuation of approximately $5 billion. The funding was led by Thrive Capital (founded by Joshua Kushner) and Greenoaks, with participation from Sequoia Capital, Ribbit Capital, and SV Angel. Tempo aims to establish U.S. dollar-backed stablecoins as the foundational infrastructure for global payments. https://t.co/m5n9PN4svN ...

BREAKING:Stripe-incubated @tempo chain raises $500M on $5B valuationThe same day Ethereum researcher Dankrad Feist announces joining the Tempo teamNot a good day for going bankless https://t.co/5CWHXl907r ...

My notes:1. Dankrad has been one of the more-aggressive "scale the L1" advocates of recent years, so losing him as a voice is not-awesome for what I view as the most value-accretive roadmap for Ethereum.2. Losing him to Tempo (the Stripe+Paradigm L1) is doubly-bad, even if you buy into "it's all EVM bro" narrative. It's same-same as Max going to Solana, but bigger. At least he's staying on as a contributor.3. I do not believe in the "it's all EVM bro" narrative. Tempo, Avalanche, Binance, Monad et al will c ...

Core Insights - The sudden dismissal of Sam Altman by the OpenAI board created significant upheaval in the global AI landscape, with Joshua Kushner emerging as a key player in the ensuing crisis [1][6][9] Group 1: The Crisis and Response - Joshua Kushner, as OpenAI's largest external shareholder, played a pivotal role in the negotiations and actions that led to Altman's reinstatement after five days of turmoil [2][6][8] - During the crisis, Kushner coordinated efforts with Microsoft, media narratives, and legal actions while leveraging an employee stock buyback plan to stabilize the company [7][9] - The resolution of the crisis not only restored Altman to his position but also elevated Kushner's public profile significantly [9] Group 2: Background of Joshua Kushner - Joshua Kushner's childhood was marked by a dramatic family downfall, which shaped his understanding of the world and his approach to business [10][15] - His father's legal troubles and the collapse of the family real estate empire provided Kushner with valuable lessons in resilience and the importance of staying true to one's values [12][15] - This background influenced Kushner's decision to pursue a different path in technology and investment, leading to the founding of Thrive Capital [15][16] Group 3: Thrive Capital's Evolution - Thrive Capital transformed from an unknown investment firm into a highly regarded player in the industry within just 13 years, showcasing remarkable foresight in its investments [16][17] - The firm’s unique approach, which included focusing on a limited number of companies and providing operational support to founders, has become a standard in the venture capital space [18] - Thrive's ability to act decisively during the OpenAI crisis reflects its foundational belief in authenticity and independence from external pressures [18]

Core Viewpoint - The article discusses the paradox in the job market where both job seekers and HR departments are using AI tools, leading to a situation where applications are not resulting in hires, highlighting a cycle of mutual deception between candidates and recruiters [2][4]. Group 1: AI in Recruitment - The use of AI in recruitment has become prevalent, with nearly 70% of companies expected to utilize AI in their hiring processes by the end of 2025 [22][23]. - AI tools are designed to enhance recruitment efficiency, but they also introduce security risks, such as "prompt injection" attacks, which manipulate AI systems to produce unintended outputs [24][25]. Group 2: Examples of AI Manipulation - Cameron Mattis, a Stripe executive, cleverly embedded a code in his LinkedIn profile to filter out AI-generated messages, resulting in a humorous response that included a flan recipe [5][12]. - Job seekers have been experimenting with ways to deceive AI screening tools, such as embedding hidden instructions in their resumes, which can lead to unexpected outcomes [31][34]. Group 3: Emerging Competition - LinkedIn is expanding its AI integration in collaboration with Microsoft, planning to use user data for training generative AI models starting November 3, 2025 [36][37]. - OpenAI is developing a new AI-driven recruitment platform, OpenAI Jobs Platform, expected to launch in mid-2026, aiming to match company needs with employee capabilities [39][40].