📰 Hackernoon

Customer experience isn’t just about front-end innovation—it’s driven by the quality of your data. Poor governance leads to broken interactions, flawed AI outpu

Postgres full-text search struggles at scale due to poor ranking and no top-k optimization. pg_textsearch introduces native BM25 with Block-Max WAND, delivering

Qwen3.5-27B-Claude-4.6-Opus-Reasoning-Distilled-v2-GGUF delivers shorter reasoning chains and 96.91% HumanEval pass@1.

After Anthropic refused Pentagon demands to enable autonomous weapons and mass surveillance, the U.S. government did something unprecedented: it branded an Amer

Where does Disney go next with AI following the collapse of its relationship with OpenAI? Doubling down on Epic might be the answer.

I used to protect focus from Slack, meetings, and PR reviews. Now the same interruptions are still there, plus a steady stream of agent prompts.

I asked an AI tool to extract 329 articles from my Substack. Simple copy-and-save job. Instead, it tried 14 approaches, failed at all of them, created empty fil

A practical look at multi-model AI coding, from Grok and Claude to Codex and Gemini, and why one model is no longer enough.

Five years into product design at a fintech, the majority of my work is documentation, edge cases, and maintenance.

Vibe decay originates in the gap between expectations and reality — but not the kind of gap that gets talked about in post-mortems. Founders build with a mental

Tried using GitHub Copilot in Visual Studio 2026 to generate a full Agile sprint plan for rewriting a legacy application. Results: Codex Mini: Produced a vague,

I don’t think AI makes keyboard efficiency irrelevant. If anything, it changes where the bottleneck is. I’m typing less code by hand than I used to, but I’m sti

GLM-4.7-Flash-GGUF offers fast local text generation with multiple quantization options for PCs, edge devices, and small servers.

Multi-agent RL does not mainly have a modeling problem. It has a systems-design problem. Real-world coordination needs explicit task stages, selective communica

Machine learning technologies have progressed from experimental stages to essential components of production infrastructure. As the scope and impact of these te

The industry is obsessed with agents and prompting. That focus is not wrong—but it is incomplete. Real production systems require architecture, determinism, int

Real-world data often includes significant obstacles, such as privacy concerns, restrictions imposed by regulations, and sheer scarcity. This is where Synthetic

Multistreaming allows creators and businesses to broadcast a single live stream across multiple platforms simultaneously, increasing reach and revenue potential

You're using distributed locks to protect critical data—but they might be silently failing. A garbage collection pause, a network delay, or a clock skew can all

Developers are reporting widespread failures with Google’s Gemini CLI, including persistent 429 rate-limiting errors, silent model downgrades, and opaque quota

Web3’s early momentum was fueled by belief, hype, and ideology. Now the industry faces its “prove it” era: products must demonstrate real utility, smooth onboar

Machine learning isn’t failing because of hype—it’s failing because control is lagging behind capability. As AI moves into real-world systems, the risks come fr

Human-in-the-loop wasn’t built for the scale of agentic AI. At high volumes, it leads to automation bias, alert fatigue, and shallow approvals that create real