The Microsoft-OpenAI Files: Internal documents reveal the realities of AI's defining alliance (27 minute read)
Elon Musk's lawsuit accusing OpenAI and its CEO Sam Altman of abandoning the nonprofit mission has unveiled over 200 documents that offer an inside look into the relationship between OpenAI and Microsoft. Musk, an OpenAI co-founder, is seeking up to $134 billion in damages, with a jury trial scheduled for this Spring. The files reveal how Microsoft pursued, rebuffed, and backed OpenAI at various moments over the past decade. The previously undisclosed emails, messages, slide decks, reports, and deposition transcripts show how Microsoft ultimately shaped the course of the lab that launched the generative AI era. | X open sources its algorithm while facing a transparency fine and Grok controversies (6 minute read)
X has open sourced its algorithm, giving the world a peek behind the company's algorithmic curtain. The site's algorithm considers engagement history and surveys recent in-network posts when finding content for individual users. It conducts a machine-learning-based analysis of 'out of network' posts that it believes the user might also find appealing. The algorithm then filters out certain kinds of posts, as well as content deemed too violent or spam-like, and ranks the content based on what it thinks users will find most appealing. | | Science & Futuristic Technology | Moderna, Merck Report Positive Results From Cancer-Vaccine Study (1 minute read)
In a Phase 2b trial, Moderna and Merck's cancer vaccine reduced the risk of relapse or death in melanoma patients by 49% when used in combination with Merck's immunotherapy Keytruda, compared to when using Keytruda alone. The results illustrate mRNA's potential in cancer care. The treatment continues to demonstrate sustained and clinically meaningful improvement. The companies are currently running eight Phase 2 and Phase 3 clinical trials across multiple tumor types. | The first commercial space station, Haven-1, is now undergoing assembly for launch (14 minute read)
The International Space Station is due to be decommissioned in less than five years, but NASA has yet to formally publish rules and requirements for a potential replacement. There are currently four main contenders for NASA's commercial space station program: Voyager Technologies, Axiom Space, Blue Origin, and Vast Space. NASA is expected to select one or two of these companies for contracts later this year. This article contains an interview with Vast's chief executive, Max Haot. Vast is currently building a smaller interim space station capable of short-duration stays called Haven-1. | | Programming, Design & Data Science | MCP, Skills, and Agents (10 minute read)
Harnesses are constantly improving by iterating on what works well. However, every time someone releases a new behavior, the thought leaders of the internet determine that it has replaced all previous functionality. Developers should try both skills and MCP to learn the fundamentals of how the technology works and what that means for managing the context window. How the technologies shift in the future depends entirely on the workflows they help people solve. | Skills.sh (Website)
Skills are reusable capabilities for AI agents. This site contains an open agent skills ecosystem with a collection of skills anyone can install with a single command to enhance their agents with access to procedural knowledge. The site contains thousands of skills. The index is searchable and shows how many times each skill has been installed. | | I'm addicted to being useful (5 minute read)
People think software engineers are addicted to being useful, driven by an addiction to solving puzzles, or drawn by power and money. What actually motivates software engineers is often more of an internal compulsion. It's worth figuring out what really motivates you so that you can harness that compulsion most effectively. | Agentic AI and The Mythical Agent-Month (6 minute read)
The concept of 'Scalable Agency', where a developer could theoretically spin up thousands of agents to complete tasks faster, relies on a flawed assumption that software engineering is an embarrassingly parallel task. Context loading is not the same as common knowledge, and reading tokens is not the same as understanding the causal chain of changes across a system. Adding manpower to a late software project makes it later. Multi-agent systems do not escape this law, they simply hit the wall of state-space explosion faster than humans do. | | pipenet (Website)
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