The TechBeat: From Cloud to Desk: 3 Signs the AI Revolution is Going Local (10/26/2025)

How are you, hacker? đŸȘ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. ## The Silent Revolution: AI-Driven Network Decisions in Real-Time By @darshanbmehta [ 5 Min read ] The telecommunications industry is experiencing an … Read more

What You Need to Know About Advanced Patterns for Symfony HttpClient

If you’ve worked with Symfony, you’ve used symfony/http-client. You’ve run $client->request(‘GET’, 
) and $response->toArray(). This is the bread and butter of API consumption, and it works beautifully for simple use cases. But modern applications aren’t simple. They’re distributed, asynchronous, and expected to be resilient. What happens when you need to: Fetch 100 API endpoints without … Read more

The TechBeat: Introducing Agentic Postgres, the Database for AI Agents (10/25/2025)

How are you, hacker? đŸȘ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. ## Introducing Agentic Postgres, the Database for AI Agents By @tigerdata [ 4 Min read ] Tiger Data launches Agentic Postgres, the … Read more

Mutuum (MUTM) Nears V1 Protocol Launch While Price Targets $0.04 Soon

The year 2025 continues to showcase notable developments in decentralized finance, as Mutuum Finance (MUTM) positions itself as one of the most active and structured projects in the DeFi crypto market. The upcoming V1 protocol launch on the Sepolia Testnet marks a significant step forward for the Ethereum-based platform, confirming that Mutuum’s roadmap remains on … Read more

RIVER Gains 5x Following Binance Perp Listing, Supported by Time-Encoded Airdrop Conversion

Singapore, Singapore, October 24th, 2025/Chainwire/–$RIVER reached a new all-time high $10, up 5x since its TGE on Sept 22, following the token’s Binance Futures listing on Oct 17. The surge was driven by growing market attention on River’s Dynamic Airdrop Conversion, the first time-encoded tokenomics mechanism that connects conversion behavior to time-based value. Dynamic Airdrop … Read more

Distractor Robustness: RECKONING Significantly Outperforms FT-ICR in Reasoning Over Irrelevant Facts

Table of Links Abstract and 1. Introduction Background Method Experiments 4.1 Multi-hop Reasoning Performance 4.2 Reasoning with Distractors 4.3 Generalization to Real-World knowledge 4.4 Run-time Analysis 4.5 Memorizing Knowledge Related Work Conclusion, Acknowledgements, and References A. Dataset B. In-context Reasoning with Distractors C. Implementation Details D. Adaptive Learning Rate E. Experiments with Large Language Models … Read more

RECKONING: Reasoning through Dynamic Knowledge Encoding: Generalization to Real-World knowledge

Table of Links Abstract and 1. Introduction Background Method Experiments 4.1 Multi-hop Reasoning Performance 4.2 Reasoning with Distractors 4.3 Generalization to Real-World knowledge 4.4 Run-time Analysis 4.5 Memorizing Knowledge Related Work Conclusion, Acknowledgements, and References A. Dataset B. In-context Reasoning with Distractors C. Implementation Details D. Adaptive Learning Rate E. Experiments with Large Language Models … Read more

The Limits of LLM-Generated Unit Tests

The OpenAI Codex documentation includes a simple example prompt: Write unit tests for utils/date.ts. It sounds effortless – just ask Codex to write tests, and it will. And in most cases, it does: the tests compile, run, and even pass. Everyone seems satisfied. But this raises a crucial question: are those tests actually good? Let’s … Read more

The Future of Brain-Machine Interfaces Is Biohybrid

Brain–machine interfaces (BMIs) are devices that can read the electrical impulses generated by neurons and, in turn, stimulate those neurons. This is one of today’s most rapidly advancing fields of technology — and for good reason. BMIs hold the potential to restore vision to the blind, help paralyzed people walk again, enable direct communication between … Read more

Make Class-Agnostic 3D Segmentation Efficient with 3DIML

Table of Links Abstract and I. Introduction II. Background III. Method IV. Experiments V. Conclusion and References IV. EXPERIMENTS We benchmark our method against Panoptic and Contrastive Lifting using the same Mask2Former frontend. For fairness, we render semantics as in [5], [6] using the same multiresolution hashgrid for semantics and instances. For other experiments, we … Read more

Consistent 3D Mask Labeling Made Simple

Table of Links Abstract and I. Introduction II. Background III. Method IV. Experiments V. Conclusion and References III. METHOD Given a sequence of N posed RGB images, (Ii , Ti) where I denotes the image and T pose, we first extract viewinconsistent instance masks Mi using a generic instance segmentation model such as Mask2Former or … Read more

Solving 3D Segmentation’s Biggest Bottleneck

:::info Authors: (1) George Tang, Massachusetts Institute of Technology; (2) Krishna Murthy Jatavallabhula, Massachusetts Institute of Technology; (3) Antonio Torralba, Massachusetts Institute of Technology. ::: Table of Links Abstract and I. Introduction II. Background III. Method IV. Experiments V. Conclusion and References Abstract— We tackle the problem of learning an implicit scene representation for 3D … Read more

Generalization and Robustness: RECKONING Excels on Longer Reasoning Chains Unseen During Training

Table of Links Abstract and 1. Introduction Background Method Experiments 4.1 Multi-hop Reasoning Performance 4.2 Reasoning with Distractors 4.3 Generalization to Real-World knowledge 4.4 Run-time Analysis 4.5 Memorizing Knowledge Related Work Conclusion, Acknowledgements, and References A. Dataset B. In-context Reasoning with Distractors C. Implementation Details D. Adaptive Learning Rate E. Experiments with Large Language Models … Read more

The Lottery Ticket Hypothesis: Why Pruned Models Can Sometimes Learn Just as Well as Full Networks

The Lottery Ticket Hypothesis (LTH) proposes that within large neural networks exist smaller subnetworks—or “winning tickets”—that, when properly initialized and trained, can match or even outperform their full-sized counterparts. This article surveys key research exploring LTH’s methods, extensions, and limitations, including its applications in vision, NLP, and reinforcement learning. It examines how pruning, initialization, and … Read more

The TechBeat: Who’s Used One Trillion Plus OpenAI Tokens? Salesforce, Shopify, Canva, Hubspot, & 26 More Companies (10/24/2025)

How are you, hacker? đŸȘ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. ## The Silent Revolution: AI-Driven Network Decisions in Real-Time By @darshanbmehta [ 5 Min read ] The telecommunications industry is experiencing an … Read more

Security That Moves at Dev Speed: Practical Ways to Shift Left

Security is often treated as a late stage gate. In a cloud native world, that’s a tax on velocity. Shift Left Security flips the script. We integrate security earlier. During design, coding, and CI—so developers get fast, actionable feedback without leaving their flow. In this guide, I’ll share developer friendly practices I’ve used across teams, … Read more

Testing the Untestable: A Simple Way to Handle Static Methods in Legacy Java

I’m currently working on a software designed more than a decade ago. It offers a plugin architecture: you can develop a plugin whose lifecycle is handled by the software. The tough part, though, is how you access the platform capabilities: via static methods on singletons. @Override public boolean start() { var aService = AService.getInstance(); var … Read more

The Proof Is in the Algorithm: Why AI Must Learn to Verify Itself

Artificial Intelligence is revolutionizing industries, from finance, software development to medical care, offering unprecedented capabilities. But as AI takes on more decision-making roles, users and organizations are asking critical questions: Can we trust AI-generated results? Are sensitive data and user privacy protected? These questions drive the need for verifiable AI, a new frontier in AI … Read more

“Eye in the Sky,” Featured in the “21 Futures” Anthology, Out Now Via Konsensus

The Bitcoin fiction story I wrote and Konsensus published as part of the “21 Futures: Tales From The Timechain” has been liberated. I recommend you all get the book and read the other 20 stories, though. They contain wisdom about Bitcoin in an easy-to-digest format. Use promo code “prospero” for a 10% discount. https://youtu.be/ZPOSBMUBjy0?si=ZktT4uhjl2Bv8d_T&embedable=true EYE … Read more

The End of Fair Play in Coding Contests

As the timer in the corner slowly bleeds away, my eyes scan the problem on my screen. “You are given two simple undirected graphs F and G with n vertices. F has m1 edges while G has m2 edges. You may perform one of the following two types of operations any number of times
 Determine … Read more