HackerNoon - ai
Articles about HackerNoon - ai
How to Fix One Detail on an AI-Generated 3D Model Without Losing the Rest
Meshy Edit is a mesh-editing model that allows users to change specific parts of a 3D model by selecting the area and describing the desired change in plain language. It handles three types of changes: adding, removing, and replacing parts, and can be used to fix mistakes or create variations of a model.Read All
6 Ways to Introduce AI Agents Into Business Workflows
There are many different ways to use AI agents, with every business having to find solutions that fit their workflows.Read All
Most "AI Agents" Are Just Flowcharts With Good Marketing
Software labeled "agentic" today is just a thin LLM wrapper around simple API calls. Real enterprise ROI from autonomous agents isn't happening in basic chat interfaces it is happening in unglamorous, closed-loop workflows like supply chain rerouting, compliance audit tracing, vendor procurement, and multi-hop variance analysis.
PetHonesty Picks HireQuotient's EasySource for Its Talent Acquisition
PetHonesty, a premium pet health and wellness supplement brand, has selected EasySource by HireQuotient as its core talent acquisition platform to scale and modernize its recruiting operations. The platform enables recruiting teams to build predictable, high-quality talent pipelines while slashing manual effort, delivering measurable ROI for fast-scaling employers.Read All
Loops Raises $3.5M From a16z Speedrun to Build the Retail OS for Agentic Commerce
Loops, a San Francisco startup, has raised a $3.5 million seed round to build a retail operating system that integrates AI search, shopping assistance, customer support, product data enrichment, and virtual try-on. The system aims to help retailers close the gap between online shopping and in-store experiences, with McKinsey forecasting $3 trillion to $5 trillion in global agentic commerce sales byRead All
Privacy, Personalization and Precision Health: Interview with DEPH Labs CEO Lisa Loud
Health data remains fragmented across various sources, making it difficult for individuals to control and benefit from their own information. AI can improve healthcare by analyzing patterns in data, but it requires better infrastructure to keep that data private and controlled.Read All
The Blessing and Curse of AI on the Open Source Community
AI has transformed the software industry, making it easier for developers to build applications, but also creating a flood of low-quality projects that struggle to stand out. The industry now faces challenges such as differentiating between useful and useless projects, competing with established paid software, and finding ways to promote and sustain open-source projects.Read All
ALLOX TGE Nears With 363K Eligible Claimants and Coinbase-Owned Sonar Sale
AlloX's upcoming token generation event (TGE) is a major milestone, with 363,298 users eligible to claim tokens and over $5 million in strategic backing. The event will activate a distribution process involving hundreds of thousands of eligible participants from earlier campaigns and funding rounds.Read All
Physical vs. Cloud Servers for Building an Intelligent Home AI
• Every home AI needs a server somewhere. The only question is whether it sits in your house or in someone else's data center. • Cloud servers win on raw compute, elastic scaling, storage, remote access, and low upfront cost. • Physical servers win on privacy, control, offline operation, and response time. • Buyers of a home AI care most about five things: data privacy, control, power efficiency, response speed, and working with or without the internet. A local server takes four of the five.
AI Agents Don't Need User Accounts. They Need Identities
AI agents are becoming autonomous software actors with access to real systems and sensitive data. This article explores why traditional user accounts are not enough and introduces an Agent Identity Lifecycle covering identity, credentials, authorisation, delegation, auditability, revocation, and retirement.Read All
Why a Five-Cent Earnings Beat Isn't Always What It Seems
A five-cent earnings beat looks simple until you ask whether the reported result and the analysts’ estimates measure the same thing. I use a language model to read the meaning buried in analyst notes, but I keep the final decision about which estimates belong in the consensus outside the model.Read All
AI, Robot Cruelty, and the Human Instinct to Dominate
We're creating intelligent machines that may surpass human capabilities, but our instinct is to dominate and control them, raising questions about empathy, cruelty, and our relationship with power. Our actions towards machines, even if they're just inanimate objects, reveal our true nature and the kind of world we want to create.Read All
The Claim Was Never Verified, And Yet, The Report Looked Official
An AI-assisted intelligence assessment about a Chinese vessel was wrong, yet it acquired enough institutional authority to help set a military operation in motion before human review caught the error. The problem is not simply that generative AI can hallucinate. It is that uncertain conclusions can inherit credibility from classified sources, official language, and formal presentation without actually being verified.
The Investors Who Bought Anthropic Before the World Understood Its Value
Anthropic had two sets of early investors. One funded it before Claude existed. The other bought in after the company was already well known. In 2021, Jaan Tallinn led a $124M Series A at about a $623M valuation, joined by Dustin Moskovitz, James McClave and Eric Schmidt. There was no product yet, so they were backing the founders and the safety research. In 2024, the FTX bankruptcy estate sold its stake for about $1.3B, against roughly $500M invested, at an $18B valuation. Craig Falls bought 666,667 shares for about $20M.
AI Can Remember Your Chats. Remembering Your Life Is Much Harder
For AI to become truly useful in everyday life, it needs memory that goes beyond chat history. Building that memory means solving four key challenges: deciding what to remember, retrieving the right experience, connecting moments over time, and learning from corrections as people and circumstances change. At Looki, we’re exploring how visual evidence, supported by audio, chat, location, and other context, can create AI memory that is grounded in what actually happened—and remains understandable, verifiable, and correctable.Read All
The Eyes of Intelligence: Why Computer Vision Will Define the AI Century
For three years we've measured AI progress in text such as tokens, context windows, benchmark scores. That framing treats intelligence as a language problem and everything else as a downstream app. I think that's backwards. The capability that decides whether AI stays on screens or steps into the world is perception: a machine looking at the physical world and being right about what it sees.
I Wrote a War Fought With AI Weapons. How Close Is Fiction to Reality?
AI is already changing warfare. Drawing on the ideas behind An Unlikely War, this article explores autonomous weapons, human control and what happens when military decisions begin moving at machine speed.Read All
The Joining Tax: A Year of Governing Claude Code
Multi-agent coding setups lose context at every handoff not because the design is broken, but because the boundary is the whole reason those roles exist and the handoff is its price. To make the seam cheap, you need capped review rounds, a priority order per role, structured handoffs, one owner for the issue list, and a doc-updater that closes the loop.Read All
DHH's Vibe Coding Advice Ignores the Biggest Problem With AI-Generated Code
DHH advocates vibe coding without review, but is there enough evidence to trust AI-generated software over the long term?
Neuromorphic Vision vs. Traditional Still-Frame Cameras: Which One Wins the Surveillance Race?
Most video surveillance still runs on traditional still-frame cameras that capture full frames at a fixed rate. Neuromorphic (event) cameras work differently: each pixel fires only when its brightness changes, mimicking the human retina and outputting a sparse stream of events instead of frames. Independently reported specs back the advantages including ~120–140 dB dynamic range vs. ~60 dB, microsecond latency, chip-level power in the tens of milliwatts, and effectively no motion blur.
Tunnl Partners With DeepIntent to Reach Healthcare Audiences with Research-Backed Precision
Tunnl, an AI-powered audience intelligence platform, partnered with DeepIntent, a leading healthcare marketing platform, to provide research-backed audience segments to healthcare marketers. This integration brings new dimensions to campaign planning, enabling marketers to understand attitudes, behaviors, and motivations that shape healthcare decisions.Read All
HireQuotient Announces an Integration with BambooHR to Bring AI-Native Recruiting to Key Industries
HireQuotient, a leading AI-native recruitment technology company, has integrated its EasySource platform with BambooHR's Applicant Tracking System (ATS) to empower organizations with hyper-specialized hiring tools. The integration supports HR teams managing large applicant volumes and offers a cost-effective way to pair BambooHR's HR platform with additional recruiting capabilities.Read All
Anvil Announces SDK Launch, Enterprise Partnerships, and $5M ANVL Token Sale
Anvil, a decentralized finance protocol, is gaining traction among businesses and institutional investors, with companies like Bullish and investors led by Founders Fund working with the protocol to explore its applications. The protocol's universal collateral layer allows digital assets to secure verifiable financial commitments, making it practical for businesses to integrate into their products and services.Read All
Infrastructure Listed Giant Mattr Selects HireQuotient’s EasySource to Transform Talent Acquisition
HireQuotient, an enterprise AI technology company, announced that Mattr, a global leader in advanced materials technologies, has selected its flagship platform, EasySource, to streamline its hiring operations. This partnership underscores a broader trend of leading manufacturing organizations trusting HireQuotient's AI-native solutions to combat recruiter fatigue and engage specialized candidates at scale.Read All
Make Product Marketing Human Again: Keeping it Authentic in the Age of aI
AI makes marketing faster, but does it make brands forgettable? Discover why human creativity, storytelling, and original thinking still matter.Read All
A Beginner's Guide to Writing AGENTS.md Files for Codex
Learn what belongs in global and project AGENTS.md files, with practical examples, override rules, and ways to check what Codex loads.Read All
The Hidden Language Tax Making AI More Expensive for Non-English Users
Claude Opus 5 uses nearly 3x more tokens for Russian than English. Here's why AI tokenization makes some languages more expensive than others.Read All
I Passed the AWS AI Business Strategist (AIB-C01) Beta With Claude and Notion: Here's How
I passed the AWS Certified AI Business Strategist (AIB-C01) beta on the first day it was available, with no third-party prep material out at announcement. The setup: a Claude project running my study instructions, connected to a Notion hub of notes, rules, a quiz database and a Fact Sheet. Do Claude drills first to find what you already know, log every practice-test miss in Notion, and build a Fact Sheet, because the exam had more straight definition questions than expected.Read All
Gemini 4 Argon: How Does It Do Against GPT-6 Astra and Claude?
Google DeepMind has announced Gemini 4 Argon, a frontier model that excels in long software engineering jobs, legal and finance work, and cyber defense, outperforming GPT-6 Astra and other models in various benchmarks. Argon can write up to 1M output tokens in a single response and is currently available to trusted cyber defenders through Google's Fairwind Program, with aRead All
The 272K Footgun: How GPT-6 Astra's Context Surcharge Silently Doubles Your Bill
OpenAI's GPT-6 Astra has a 272,000 token input limit, with requests exceeding this threshold billed at 2x input and 1.5x output rates. This can result in significant cost increases, with a 5,000 token overrun costing around $3.Read All
Introducing Kilo Desktop: Where the AI Dev Factory Begins
Agentic coding tools made writing code fast, but they confined the job to code on one vendor's models. Kilo Desktop, out today, puts the whole job in one app: 500+ frontier, open-weight, and local models with cost-based routing; agents that plan before they build; notebooks the agent edits live; conda environments drawn from 19,000+ vetted packages; and admin controls over which models, agents, and MCP servers anyone can use.
Which Startup Is the Real Ghost? Ghost.ai vs. Ghost.org vs. DrinkGhost.com vs. Patrick Swayze
Ghost.ai raised an $11M a16z seed for a $3,499 personal AI computer, and walked into a crowded house. Ghost.org, GHOST Energy, Broadcom's ghost.com and the 1990 film all compete for the same word. Google and Bing favor the drink and the movie, Google AI Mode picks ghost.org, and ChatGPT picks ghost.ai. Our bet: ghost.ai wins tech, if Core sells.Read All