March 2026

NASA and SpaceX disagree about manual controls for lunar lander

NASA and SpaceX disagree about manual controls for lunar lander

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NASA’s inspector general released a new report on Tuesday that examines the space agency’s management of the Human Landing System development contracts signed with SpaceX and Blue Origin. These landers are essential for NASA’s program to land humans on the Moon this decade and then establish a long-term settlement on the lunar surface. However, both NASA and the companies developing the landers have largely been silent about their efforts. For this reason the new report on Human Landing […]

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When Learning Rates Go Wrong: Early Structural Signals in PPO Actor-Critic

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Deep Reinforcement Learning systems are highly sensitive to the learning rate (LR), and selecting stable and performant training runs often requires extensive hyperparameter search. In Proximal Policy Optimization (PPO) actor–critic methods, small LR values lead to slow convergence, whereas large LR values may induce instability or collapse. We analyse this phenomenon from the behavior of the hidden neurons in the network using the Overfitting-Underfitting Indicator (OUI), a metric that quantifies the balance of binary activation patterns over a […]

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Roadmap to learn RL and simulate a self balancing bipedal robot using mujoco. Need to know if i am on the the right path or if i am missing something

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Starting with Foundations of RL using Sutton and Barto, gonna try to implement algorithims using Numpy Moving on to DRL using the hugging face course, spinning up by openAI and CleanRL, i think SB3 is used here but if im missing something pls lmk Finally Mujoco along with custom env submitted by /u/ElectricalCamera6046 [link] [comments]

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CarbonBench: A Global Benchmark for Upscaling of Carbon Fluxes Using Zero-Shot Learning

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Accurately quantifying terrestrial carbon exchange is essential for climate policy and carbon accounting, yet models must generalize to ecosystems underrepresented in sparse eddy covariance observations. Despite this challenge being a natural instance of zero-shot spatial transfer learning for time series regression, no standardized benchmark exists to rigorously evaluate model performance across geographically distinct locations with different climate regimes and vegetation types. We introduce CarbonBench, the first benchmark for zero-shot spatial transfer in carbon flux upscaling. CarbonBench comprises over […]

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Oracle Is Firing 30,000 People to Pay for AI It Hasn’t Built Yet

Oracle Is Firing 30,000 People to Pay for AI It Hasn’t Built Yet

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Author(s): Menna Adly Originally published on Towards AI. If your company is “pivoting to AI,” your job might be funding the pivot. One desk. One cut badge. And a data center full of chalk outlines where the servers were supposed to go. Made By Author. On February 27, 2026, OpenAI closed the largest private funding round in history: $110 billion, backed by Amazon, Nvidia, and SoftBank. Six days later, Oracle confirmed it would cut thousands of workers to […]

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Simplifying expressions in SymPy

Simplifying expressions in SymPy

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The previous post looked at why Mathematica does not simplify the expression Sinh[ArcCosh[x]] the way you might think it should. This post will be a sort of Python analog of the previous post. SymPy is a Python library that among other things will simplify mathematical expressions. As before, we seek to verify the entries in the table below, this time using SymPy. Here’s the code: from sympy import * x = symbols(‘x’) print( simplify(sinh(asinh(x))) ) print( simplify(sinh(acosh(x))) ) […]

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Gemini burrows deeper into Google Workspace with revamped document creation and editing

Gemini burrows deeper into Google Workspace with revamped document creation and editing

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Google didn’t waste time integrating Gemini into its popular Workspace apps, but those AI features are now getting an overhaul. The company says its new Gemini features for Drive, Docs, Sheets, and Slides will save you from the tyranny of the blank page by doing the hard work for you. Gemini will be able to create and refine drafts, stylize slides, and gather context from across your Google account. At this rate, you’ll soon never have to use […]

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Code Ships in Minutes. Everything Else Takes Weeks.

Code Ships in Minutes. Everything Else Takes Weeks.

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Author(s): Know-Island Originally published on Towards AI. AI 100x’d the speed of writing code. We’ve done nothing about the 3 days it takes to review, build, approve, and deploy it. AI can write a feature in 3 minutes. Then you wait 2 days for someone to review it. AI compressed the coding bar to almost nothing. Everything else didn’t move.The article discusses the growing disparity between the speed of AI-generated code and the lengthy processes that follow, such […]

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Accelerate custom LLM deployment: Fine-tune with Oumi and deploy to Amazon Bedrock

Accelerate custom LLM deployment: Fine-tune with Oumi and deploy to Amazon Bedrock

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This post is cowritten by David Stewart and Matthew Persons from Oumi. Fine-tuning open source large language models (LLMs) often stalls between experimentation and production. Training configurations, artifact management, and scalable deployment each require different tools, creating friction when moving from rapid experimentation to secure, enterprise-grade environments. In this post, we show how to fine-tune a Llama model using Oumi on Amazon EC2 (with the option to create synthetic data using Oumi), store artifacts in Amazon S3, and […]

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Good Reasoning Makes Good Demonstrations: Implicit Reasoning Quality Supervision via In-Context Reinforcement Learning

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Reinforcement Learning with Verifiable Rewards (RLVR) improves reasoning in large language models but treats all correct solutions equally, potentially reinforcing flawed traces that get correct answers by chance. We observe that better reasoning are better teachers: high-quality solutions serve as more effective demonstrations than low-quality ones. We term this teaching ability Demonstration Utility, and show that the policy model’s own in-context learning ability provides an efficient way to measure it, yielding a quality signal termed Evidence Gain. To […]

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