Hackernoon

:::info Authors: Ravi Kopparapu Vincent Kofman Jacob Haqq-Misra Vivaswan Kopparapu Manasvi Lingam ::: Table of Links ABSTRACT 1. INTRODUCTION 2. METHODS 3. PHOTOVOLTAIC REQUIREMENTS FOR EARTH 4. DETECTABILITY REQUIREMENTS FOR PHOTOVOLTAICS 5. DISCUSSION CONCLUSION, ACKNOWLEDGMENTS AND REFERENCES ABSTRACT In this work, we assess the potential detectability of solar panels made of silicon on an Earth-like … Read more

Table of Links Abstract and 1. Introduction 1.1 Technical Overview 1.2 Related Work Model and Preliminaries and 2.1 Transaction Fee Mechanisms 2.2 The TFM Desiderata Understanding OCA 3.1 The Difference Between SCP and OCA 3.2 Useful Preliminary Results for OCA-proof TFMs Deterministic OCA-proof Mechanisms Randomized OCA-proof Mechanisms Discussion and References A. Missing Proofs B. Non-anonymous … Read more

Table of Links Abstract and 1. Introduction Preliminaries Problem definition BtcFlow Bitcoin Core (BCore) Mempool state and linear perceptron machine learning (MSLP) Fee estimation based on neural network (FENN) Experiments Conclusion, Acknowledgements, and References 7 Fee estimation based on neural network (FENN) ue to the low block capacity, the majority of submitted transactions may experience … Read more

Visualize and explore complex data structures — right from your terminal. Cosmo is a fast, interactive graph visualizer that makes graphs and trees easy to understand, beautifully arranged, and fully explorable without ever leaving your command line. Why Build Cosmo? When working with complex data structures — trees, dependency maps, object graphs — it’s too … Read more

Glass Lewis, a proxy-advisory firm, said Elon Musk’s $1 trillion Tesla pay package “warrants significant shareholder concern,” reports Business Insider. The pay package would give Musk the chance to receive 423 million shares, as long has met certain requirements. These requirements include 12 operational milestones and Tesla’s valuation rising to $8.5 trillion in 10 years. … Read more

Evernorth Holdings Inc. and Armada Acquisition Corp II will merge to create a new publicly traded company, according to PR NewsWire. The merger will generate $1 billion in gross proceeds, which will then be used to buy XRP, making it the biggest XRP treasury. Ripple and Ripple’s co-founder Chris Larsen joined in on this new … Read more

Roblox was issued a subpoena by Florida Attorney General James Uthmeier regarding child protection policies, reports WFLA News Channel 8. The Attorney General is requesting 27 pieces of information from Roblox. According to the subpoena, some of these include: All documents sufficient to describe the parental control features available on your platform, including their operation, … Read more

The U.S. National Highway Traffic Safety Administration has opened a preliminary probe into Waymo, reports Reuters. The probe was specifically around Waymo’s 5th Generation automated driving system and how it behaves around school buses. According to the Office of Defects’ (ODI) report, this comes after the media reported on a Waymo autonomous vehicle that didn’t stop when … Read more

How are you, hacker? 🪐Want to know what’s trending right now?: The Techbeat by HackerNoon has got you covered with fresh content from our trending stories of the day! Set email preference here. ## Context Engineering for Coding Agents By @ichebykin [ 5 Min read ] Context engineering for coding agents is the best way … Read more

Tools are a fundamental part of agentic AI, alongside these core capabilities: While language models excel at understanding and generating text, tools extend their abilities by letting them interact with the real world: searching the web for current information, executing code for calculations, accessing databases, reading files, or connecting to external services through APIs. Think … Read more

I’ve been exploring how LLM applications with automated query scheduling – like cron-based tasks – can generate daily newsletters and curated content updates. The potential here is incredible: staying continuously updated on specific domains without any manual effort. However, I ran into a significant challenge during my experiments: the system kept generating the same content … Read more

I still remember when Microsoft Copilot and Google Gemini (it was called Bard back then) first came out. Everyone was curious—could these really compete with ChatGPT? I tried both. They were decent, but if I’m being honest, ChatGPT still felt more reliable for most of my work. Most people I knew felt the same way.​ … Read more

I think memory features in LLMs are brilliant. They help these systems understand me better and tailor responses to my preferences. That’s genuinely useful. But here’s what I’ve noticed: my needs change constantly. I’m human, and my circumstances aren’t the same from one day to the next. Let me give you an example. On a … Read more

I have been extensively working with prompt engineering techniques lately, and the methods I have learnt have fundamentally changed how I interact with large language models. Here is what has been particularly effective: Recursive Expansion for Comprehensive Coverage – I embed instructions within my prompts that direct the model to expand topics recursively. This ensures … Read more

We’re Trading Convenience for Exposure A few weeks ago, I needed to merge two PDF contracts. Without thinking, I did what millions of people do every day — I dragged them into one of those free online PDF tools, hit “Upload,” and waited for the merge to finish. But halfway through, a thought hit me: … Read more

“If you had the chance to talk to someone that died, that you love, would you take it? Without knowing what the risk is, without knowing what the outcome is?” That was one of the early questions posed in the 2024 documentary Eternal You by Hans Block and Moritz Riesewieck. The film shows how technology is already weaving … Read more

As a writer, visual artist, and software engineer, AI can already outcompete me on all fronts. What does that mean for my future? What does that mean for the future of humanity? While society wrestles with these fundamental questions around identity, creativity, and value in the age of AI, I have been working on a … Read more

Don’t Disturb the Monkey French mathematician Émile Borel proposed a rather interesting thought experiment in 1913 called the Infinite Monkey Theorem. It proposes that if you put a monkey in a room with a typewriter for an infinite amount of time, based on probability alone, at some point it will have created the entire works … Read more

Humanity has always fallen in love with public figures — those whose lives unfold before us like serialized myths. We gossip about them, celebrate their triumphs, and grieve their passing. We fall in love so easily with those who seem to radiate something magical into the world: fame, power, talent, beauty, or extraordinary skill. These … Read more

🧩 The Challenge: Drowning in Data During Incidents In the critical moments of a production incident, engineering teams face a formidable challenge: navigating a deluge of log data to find the needle in the haystack. Traditional log analysis demands that engineers formulate precise, often complex, queries using specialized languages. This is effective when you know what … Read more

Limitation of the Traditional Monitoring The management of modern distributed applications has become increasingly complex. Using traditional monitoring tools, which rely mainly on manual analysis, is insufficient for ensuring the availability and performance demanded by microservices or serverless topologies. One of the main problems with traditional monitoring is the high volume and variety of telemetry … Read more

Discover the why something was originally thought of makes us appreciate the tool + the way we use the tool as well as promote us to a couple of levels of we know what we are doing. It’s one of those inside job feeling. I continuously invest in this quest, in this lightbulb moment when it comes to learning. Feeding mind … Read more

Table of Links Background Problem statement Model architecture Training data Results Conclusions Impact statement Future directions Contributions Acknowledgements and References Appendix 3 Model architecture Toto is a decoder-only forecasting model. This model employs many of the latest techniques from the literature, and introduces a novel method for adapting multi-head attention to multivariate time series data … Read more

:::info Authors: (1) Ben Cohen (ben.cohen@datadoghq.com); (2) Emaad Khwaja (emaad@datadoghq.com); (3) Kan Wang (kan.wang@datadoghq.com); (4) Charles Masson (charles.masson@datadoghq.com); (5) Elise Rame (elise.rame@datadoghq.com); (6) Youssef Doubli (youssef.doubli@datadoghq.com); (7) Othmane Abou-Amal (othmane@datadoghq.com). ::: Table of Links Background Problem statement Model architecture Training data Results Conclusions Impact statement Future directions Contributions Acknowledgements and References Appendix This technical report … Read more

Kevan Dodhia, former Compute.ai co-founder, is redefining AI security with Alter, an agent authorization platform that enforces real-time, fine-grained access control for AI agents. Built on his distributed systems expertise, Alter applies zero-trust principles, ephemeral credentials, and auditable policies—making autonomous agents safe and compliant for enterprise deployment.

Content Overview Cases where gradient returns None No gradient registered Zeros instead of None Cases where gradient returns None When a target is not connected to a source, gradient will return None. x = tf.Variable(2.) y = tf.Variable(3.) with tf.GradientTape() as tape: z = y * y print(tape.gradient(z, x)) None Here z is obviously not connected to x, but there are several less-obvious ways … Read more

Content Overview Automatic Differentiation and Gradients Setup Computing gradients Gradient tapes Gradients with respect to a model Controlling what the tape watches Intermediate results Notes on performance Gradients of non-scalar targets Control flow Automatic Differentiation and Gradients Automatic differentiation is useful for implementing machine learning algorithms such as backpropagation for training neural networks. In this guide, you will … Read more

Deepak Pai led MUFG’s shift to a cloud-native data architecture where compliance drives innovation. By standardizing reference data and building end-to-end lineage, MUFG achieved faster audits, reduced remediation costs, and stronger regulator trust. This blueprint now serves as a model for secure, scalable, and transparent financial modernization.

Ganpati Goel, an Advanced Purchasing Buyer and supply chain innovator, is transforming electric mobility by optimizing procurement, reducing costs, and improving quality. His initiatives have saved millions, ensured timely EV production, and made green transport more accessible—uplifting communities and advancing global sustainability goals.

Purushotham Jinka highlights a revolution in data management, where automation, AI, and cloud-native design have turned databases into intelligent, self-optimizing systems. Adaptive indexing, dynamic partitioning, and predictive scaling cut costs by 35% and boost efficiency by up to 60%, reshaping how modern enterprises store and process data.