LearnByDoing With Steven

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Kanal • 4 Sendungen

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10. Feb.

AI Agents and the Evolution of Modern Cyber Threats

Security experts warn that AI agents like OpenClaw create a massive new attack surface due to high permissions and user misconfiguration. Meanwhile, AI-generated "slop" is overwhelming bug bounties, while vibe coding produces buggy malware that makes data recovery impossible.

10. Feb.

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17 Min.
06.12.2025

Titans: Long-Term Neural Memory for Scaling Context

The provided text details the development of Titans, a new family of neural architectures designed to overcome the fixed context window and computational scaling issues inherent in modern Transformers. The core of this system is a novel neural long-term memory module that operates as a meta in-context learner, dynamically updating its weights based on a calculated "surprise" metric that includes both momentum and an adaptive forgetting mechanism. This mechanism allows the module to store persistent, historical information, thereby acting as long-term memory while the attention component handles immediate context as short-term memory. The paper presents three distinct architectural ways to integrate this new component: Memory as a Context (MAC), Memory as a Gate (MAG), and Memory as a Layer (MAL). Empirical testing across diverse tasks, including language modeling and extreme-length reasoning benchmarks, demonstrates that Titans achieve superior performance and efficiency compared to baseline models, successfully scaling to context window sizes exceeding two million tokens.

06.12.2025

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8 Min.
17.12.2025

Long-Horizon AI Research and Open Source AI Futures

The text presents excerpts from a YouTube transcript featuring Jeff Dean, the chief scientist at Google, discussing several key topics related to AI and hardware at Google. Dean elaborates on the history and strategic importance of Google's Tensor Processing Units (TPUs), highlighting the efficiency and performance improvements of the latest seventh-generation chips, and explains how the hardware was initially developed for Google's own internal needs before being externalized to the cloud. The conversation also explores the necessity of robust academic funding for fundamental research and details the alternative funding models, like the Laude Institute's Moonshot Grant program, which focuses on high-impact AI research with a 3-5 year time horizon in areas such as healthcare. Finally, Dean discusses the evolving relationship between Google's internal research and the broader academic ecosystem, mentioning the strategic balance between utilizing innovations internally and publishing discoveries externally.

17.12.2025

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7 Min.
14.12.2025

LLMs and the Mechanics of Intelligence

The provided text consists of excerpts from a YouTube video transcript featuring a discussion between Sholto Douglas, Trenton Bricken, and Dwarkesh Patel about large language models (LLMs). The conversation explores the mechanisms and future trajectory of AI capabilities, focusing heavily on concepts like in-context learning, where models dramatically improve performance by processing vast amounts of context. A significant portion of the dialogue is dedicated to mechanistic interpretability, particularly the superposition hypothesis and the use of sparse autoencoders to understand and interpret the complex "features" or circuits within the models, with the goal of ensuring future AI safety and alignment. Additionally, the experts discuss the challenges of recursive self-improvement and the necessary organizational and computational bottlenecks that currently constrain the pace of AI research.

14.12.2025

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6 Min.
23.12.2025

Agentic Security: Exploits, Red Teaming, and Protocol Defense

Recent research highlights a critical shift in cybersecurity as AI evolves from passive chat interfaces into autonomous agentic systems capable of executing complex financial and digital actions. These sources document the discovery of end-to-end exploit chains, such as indirect prompt injections targeting the Model Context Protocol (MCP), which allow attackers to hijack a model’s reasoning to perform unauthorized transactions. To combat these emerging threats, new automated frameworks like RedCodeAgent and BlueCodeAgent have been developed to systematically discover and defend against vulnerabilities in AI-generated code and tool-calling procedures. Specialized security tools, including VirtueGuard, are also introduced to provide real-time, privacy-focused monitoring within enterprise environments. Ultimately, the industry is urged to adopt intent-aware guardrails and rigorous sandboxing to ensure that the productivity gains of autonomous AI do not come at the cost of catastrophic systemic risk.

23.12.2025

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8 Min.
1. Feb.

Resurrecting AI: Strategies to Escape the Project Graveyard

This source uses the metaphor of an AI graveyard to describe the high failure rate of corporate machine learning initiatives that lack a clear purpose. To avoid this outcome, the author suggests prioritizing concrete business problems over technical novelty and establishing measurable success metrics from the start. Success also requires securing stakeholder buy-in by communicating value in terms of financial and operational impact rather than technical jargon. Furthermore, teams must treat production deployment and long-term monitoring as fundamental requirements rather than secondary concerns. By focusing on scalability and integration, organizations can move beyond simple demonstrations to create tools that offer lasting enterprise value.

1. Feb.

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15 Min.
24.11.2025

Steven数据漫谈E12 with Abby Round 2（转载自风平浪静播客）

Steven受邀参与“风平浪静”节目录制，分享了他从14年传统金融与工程机械领域转向AI创业的心路历程、创办播客的动机与愿景，以及他对当前欧洲AI创业环境的观察。 I. 嘉宾介绍与播客创办背景II. 播客定位、目标与深度交流哲学III. 新项目与商业化策略IV. 嘉宾链接渠道与个人成长理念V. 欧洲AI创业环境观察与主要挑战他的播客节目包括中文版《Steven 数据慢谈》和英文版《Steven Data Talk》。 #Steven数据漫谈 #超级个体 #AI创业 #AI人才 #组织与激励 #学习力 #驾驭AI #专注力 #HRTech #AI招聘 #个人IP #创业社群《Steven数据漫谈》——用最清晰的方式，聊最前沿的人工智能、科技、创新、商业、创业思考。现已登陆 Spotify、Apple Podcasts、YouTube、Amazon Music、小宇宙、喜马拉雅等平台。所有链接，支持作者：https://linktr.ee/learnbydoingwithsteven 通用免责声明Disclaimerhttps://mp.weixin.qq.com/s/CSX358HspNIBQiGsGtQBdA

24.11.2025

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56 Min.
13. Jan.

The Armamentarium of Speaking: Masterful Communication Techniques

In this transcript, Professor Patrick Winston outlines how effective communication is the primary driver of professional success. He posits that speaking and writing skills are more impactful than raw intelligence, offering a formula where knowledge and practice far outweigh inherent talent. Winston provides a toolkit for engaging an audience, which includes starting with a compelling promise, using physical props to create "empathetic mirroring," and avoiding dense, text-heavy slides. He critiques common presentation errors, such as using laser pointers or reading from a screen, which distract from the speaker's message. Ultimately, he argues that packaging ideas with symbols, slogans, and passion ensures they are recognized and valued by others.

13. Jan.

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5 Min.
13. Jan.

DeepSeek 2025: A Year of Disruption and Strategic Dominance

The provided document outlines DeepSeek's strategic advancements throughout 2025, highlighting a shift toward cost-efficient reasoning and open-source leadership. By utilizing Mixture-of-Experts architecture and reinforcement learning, the company successfully challenged traditional scaling laws to deliver high-performance models at a fraction of the usual cost. A significant portion of the report focuses on hardware independence, detailing how the organization optimized its software to run on domestic chips to bypass global supply chain restrictions. Furthermore, the roadmap depicts a transition from simple chatbots to autonomous AI agents capable of managing complex enterprise workflows. Ultimately, these sources position the firm as a geopolitical and economic disruptor that promotes model ownership and technological sovereignty for global users.

13. Jan.

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7 Min.
13. Jan.

DeepSeek 2025: A Year of Disruption and Strategic Dominance

The provided document outlines DeepSeek's strategic advancements throughout 2025, highlighting a shift toward cost-efficient reasoning and open-source leadership. By utilizing Mixture-of-Experts architecture and reinforcement learning, the company successfully challenged traditional scaling laws to deliver high-performance models at a fraction of the usual cost. A significant portion of the report focuses on hardware independence, detailing how the organization optimized its software to run on domestic chips to bypass global supply chain restrictions. Furthermore, the roadmap depicts a transition from simple chatbots to autonomous AI agents capable of managing complex enterprise workflows. Ultimately, these sources position the firm as a geopolitical and economic disruptor that promotes model ownership and technological sovereignty for global users.

13. Jan.

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14 Min.

Learn By Doing With Steven 数能生智

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