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A tweet by Linus Ekenstam sharing a reminder about the significant progress in robotics over the past 11 years, referencing a post by Josh Greaves.
A user shares an AI design guide and quotes Matt Dailey's advice for engineers to improve their design skills.
This is a massively revised Machine Learning Engineering open book, updated with the latest hardware specifications and examples, providing practical guidance for training and fine-tuning large language models and multi-modal models.
The article discusses the impact of Stephen Boyd's 2006 mathematics textbook on convex optimization, used by Google, Renaissance Technologies, and others, and promotes his free Stanford course EE364A available on YouTube.
A tweet critiques Google's continued use of whiteboard coding interviews while the company emphasizes AI agent adoption among engineers.
A user shares an experiment where Grok bot and Apple Watch were used to solve a complex engineering problem, leading to the creation of real physical objects.
The article advises that expressing anger at work is toxic and counterproductive, especially in tech companies, as it undermines team dynamics and personal effectiveness.
Runtime by Modal is a conference event for AI and ML engineers to discuss running AI in production, featuring talks on inference, training, and agents.
Elon Musk praises SpaceX's Raptor 3 engine as an engineering work of art that could impress even AI, highlighting rapid innovation in rocket technology.
LangChain is hosting a webinar on automating evaluation and environment engineering for AI agents, featuring discussions on using repository context and production traces for building and testing evals.
The tweet emphasizes that building useful AI agents requires focusing on context, permissions, integrations, and reliability rather than just the model, and also welcomes a new engineer to viktor.com.
An xAI engineer revealed that 95% of developers use AI agent loops to ship products 10x faster, with each engineer running 10-20 GrokBot agents to automate routine tasks.
A SpaceXAI engineer demonstrates in a podcast how to use 10-20 GrokBot agents to automate 90% of routine tasks, with a chief of staff agent for management.
Cognition is shifting to an enterprise-focused strategy, with GE Aerospace using their AI tool Devin to significantly enhance engineering productivity.
Stripe is experiencing a Jevons paradox where AI enables engineers to build software faster, but the backlog of valuable software continues to grow. Will Gaybrick discusses how AI is changing Stripe's product development process.
The tweet critiques unsupervised AI agents as prone to errors and proposes solutions like deterministic supervision and controlled memory systems to improve reliability.
The article discusses strategies for engineering AI agent skills at scale, including context minimization, lazy-loading, executable operations, and outcome-based measurement.
The tweet highlights GitHub's ongoing reliability problems, criticizing the engineering team for not resolving frequent outages despite having skilled engineers, and suggests past architectural decisions are to blame.
The article explores the historical 'chauffeur problem' in early automobiles, where mechanics gained control over wealthy owners due to technical expertise, and draws parallels to modern computer specialists, highlighting the temporary nature of knowledge-based power.
Jeff Dean, a former Google engineer, has released a free one-hour lecture covering the full path of AI engineering, from building LLMs to prompt engineering and agent coordination.