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You Probably Aren’t as Advanced in Automation as You Think
Infrastructure automation refers to using scripts or code to set up and manage infrastructure. Tools such as Terraform, OpenTofu, and Pulumi are commonly used to implement IaC and automate infrastructure...
Meet Nano Knight Studio, BoxHero, and Uzi World Digital: HackerNoon Startups of the Week
Welcome to HackerNoon Startups of the Week! Each week, the HackerNoon team showcases a list of startups from our Startups of The Year database. All these startups have been nominated...
Crypto Infrastructure is Experiencing Significant Market Fatigue
Crypto infrastructure is experiencing significant market fatigue and declining valuations. Infrastructure projects face a critical dilemma: most offer similar capabilities with minimal differentiation. 35 of the top 50 cryptocurrencies by...
The HackerNoon Newsletter: Google A2A - a First Look at Another Agent-agent Protocol (4/10/2025)
How are you, hacker? 🪐 What’s happening in tech today, April 10, 2025? The HackerNoon Newsletter brings the HackerNoon homepage straight to your inbox. On this day, RMS Titanic sets...
Inside Jamba’s Architecture: Mamba Layers, MoE, and the Future of AI Models
Jamba is a hybrid large language model architecture that combines Transformer, Mamba (state-space), and Mixture-of-Experts (MoE) layers. Designed for high efficiency and long-context processing (up to 256K tokens), it delivers...
256K Tokens on One GPU? Jamba’s Engineering Magic Explained
Jamba is a hybrid large language model architecture that combines Transformer, Mamba (state-space), and Mixture-of-Experts (MoE) layers. Designed for high efficiency and long-context processing (up to 256K tokens), it delivers...
How Jamba Combines Transformers and Mamba to Build Smarter Language Models
Jamba is a hybrid large language model architecture that combines Transformer, Mamba (state-space), and Mixture-of-Experts (MoE) layers. Designed for high efficiency and long-context processing (up to 256K tokens), it delivers...
Breaking Down Jamba: How Mixing Attention and State Spaces Makes a Smarter LLM
Jamba is a hybrid large language model architecture that combines Transformer, Mamba (state-space), and Mixture-of-Experts (MoE) layers. Designed for high efficiency and long-context processing (up to 256K tokens), it delivers...
What Jamba’s Benchmark Wins Tell Us About the Power of Hybrid LLMs
Jamba is a hybrid large language model architecture that combines Transformer, Mamba (state-space), and Mixture-of-Experts (MoE) layers. Designed for high efficiency and long-context processing (up to 256K tokens), it delivers...
Why Jamba Is the First Truly Scalable Hybrid LLM for Long Contexts
Jamba is a hybrid large language model architecture that combines Transformer, Mamba (state-space), and Mixture-of-Experts (MoE) layers. Designed for high efficiency and long-context processing (up to 256K tokens), it delivers...
AI and Empathy: Why Sairam Madasu Believes AI Should Empower, Not Replace, Caregivers
Sairam Madasu integrates AI into dementia care to empower caregivers, not replace them. At Microsoft and with ThinkByte.ai, he developed a personalized recommendation engine for Anvayaa, improving patient engagement and...
ODF Launches Solo Club and Solo Founders Program to Normalize Solo Founding
Over the last 6 years of building ODF we've helped over 1,000 companies get started and raise nearly $3B — many of them finding co-founders through the communtity While building...
Democratizing Health: The Visionary Engineering of Anirban Chatterjee
Anirban Chatterjee’s journey from dark matter detectors to wearable health tech has redefined biomedical sensing. With innovations in ECG wearables and respiratory monitoring, he’s making clinical-grade diagnostics accessible to all—turning...
Tariffs Vs. Crypto
The announcement of new tariffs by President Donald Trump on April 9, 2025, sent shockwaves across various financial markets, including cryptocurrencies. However, Coldware (COLD) has emerged as a fighter, defying...
How AI Judges the Accuracy of Its Own Answers
F1@K is a metric used to evaluate the factual accuracy of model responses, focusing on precision and recall of supported facts. The choice of K, the number of facts needed...
How AI Breaks Down and Validates Information for Truthfulness
SAFE (Search-Augmented Fact Evaluation) uses a language model to assess the factual accuracy of long-form responses. It splits responses into individual facts, revises them for clarity, and verifies their accuracy...
Forget Chatbots, Meet Actionbots: Why Amazon's Nova Act Could Reshape Web Interaction
Amazon's Nova Act is an AI agent that actually acts. Nova Act has a 94% success rate interacting with finicky calendar widgets. The toolkit is Amazon’s first public step toward...
Ignore The Noise: Web3 Gaming Is Making Real Progress
Explore the evolving world of Web3 gaming, where blockchain promises player ownership, token stability, and decentralized game development.
How LongFact Helps Measure the Accuracy of AI Responses
LongFact is a large-scale factuality benchmark created through a dynamic process involving GPT-4, focusing on diverse topics across various domains. Topics were carefully chosen to ensure comprehensive coverage of factuality....
How SAFE Performs Compared to Human Annotations
This FAQ section addresses common queries related to the reproducibility of results, the SAFE evaluation system, common causes of errors in AI and human annotations, and the impact of recall...