[Submitted on 6 Nov 2025 (v1), last revised 30 Nov 2025 (this version, v4)] View a PDF of the paper titled Addressing divergent representations from causal interventions on neural networks, by Satchel Grant and 3 other authors View PDF HTML (experimental) Abstract:A common approach to mechanistic interpretability is to causally manipulate model representations via targeted interventions in order to understand …
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OpenAI’s investment into Thrive Holdings is its latest circular deal
OpenAI is taking an ownership stake in Thrive Holdings, whose parent company is one of the AI giant’s major investors, Thrive Capital. Thrive Holdings operates like a private equity firm for AI, rolling up companies that it believes could benefit from the tech in sectors like accounting and IT services. Neither company disclosed the terms of the deal, but it …
Read More »The Machine Learning and Deep Learning “Advent Calendar” Series: The Blueprint
, it is very easy to train any model. And the training process is always done with the seemingly same method fit. So we get used to this idea that training any model is similar and simple. With autoML, Grid search, and Gen AI, “training” machine learning models can be done with a simple “prompt”. But the reality is that, …
Read More »Anthropic says it solved the long-running AI agent problem with a new multi-session Claude SDK
Agent memory remains a problem that enterprises want to fix, as agents forget some instructions or conversations the longer they run. Anthropic believes it has solved this issue for its Claude Agent SDK, developing a two-fold solution that allows an agent to work across different context windows. “The core challenge of long-running agents is that they must work in discrete …
Read More »What to be thankful for in AI in 2025
Hello, dear readers. Happy belated Thanksgiving and Black Friday! This year has felt like living inside a permanent DevDay. Every week, some lab drops a new model, a new agent framework, or a new “this changes everything” demo. It’s overwhelming. But it’s also the first year I’ve felt like AI is finally diversifying — not just one or two frontier …
Read More »A weekend ‘vibe code’ hack by Andrej Karpathy quietly sketches the missing layer of enterprise AI orchestration
This weekend, Andrej Karpathy, the former director of AI at Tesla and a founding member of OpenAI, decided he wanted to read a book. But he did not want to read it alone. He wanted to read it accompanied by a committee of artificial intelligences, each offering its own perspective, critiquing the others, and eventually synthesizing a final answer under …
Read More »an Autonomous LLM-based Multi-Agent Software Engineering Framework
[Submitted on 3 Oct 2025 (v1), last revised 24 Nov 2025 (this version, v2)] View a PDF of the paper titled ALMAS: an Autonomous LLM-based Multi-Agent Software Engineering Framework, by Vali Tawosi and 3 other authors View PDF HTML (experimental) Abstract:Multi-agent Large Language Model (LLM) systems have been leading the way in applied LLM research across a number of fields. …
Read More »What enterprises should know about The White House's new AI 'Manhattan Project' the Genesis Mission
President Donald Trump’s new “Genesis Mission” unveiled Monday is billed as a generational leap in how the United States does science akin to the Manhattan Project that created the atomic bomb during World War II. The executive order directs the Department of Energy (DOE) to build a “closed-loop AI experimentation platform” that links the country’s 17 national laboratories, federal supercomputers, …
Read More »A new AI benchmark tests whether chatbots protect human wellbeing
AI chatbots have been linked to serious mental health harms in heavy users, but there have been few standards for measuring whether they safeguard human wellbeing or just maximize for engagement. A new benchmark dubbed HumaneBench seeks to fill that gap by evaluating whether chatbots prioritize user wellbeing and how easily those protections fail under pressure. “I think we’re in an …
Read More »Learning Triton One Kernel at a Time: Softmax
In the previous article of this series, operation in all fields of computer science: matrix multiplication. It is heavily used in neural networks to compute the activation of linear layers. However, activations on their own are difficult to interpret, since their values and statistics (mean, variance, min-max amplitude) can vary wildly from layer to layer. This is one of the …
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