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Introduction The generative AI boom has sparked a surprisingly vocal backlash among several niche programming circles—OSDev, demoscene, code‑golf, and even ches

Ask an AI to summarize a news story and you'll usually get something cautious: "according to reports," "it appears that," "sources suggest." That hedging is oft

A daily deep dive into llm topics, coding problems, and platform features from PixelBank . Topic Deep Dive: Word Embeddings From the Tokenization & Embeddin

VIDRAFT POCKET-35B: A 35B-Parameter On-Device LLM That Hits 1M Hugging Face Downloads in 7 Weeks — No GPU Required TL;DR: VIDRAFT's POCKET-35B is a 35-billion-p

Originally published on NextFuture Agent của bạn chạy đẹp trong demo. Lên production, nó lặp lại đúng một tool call đang lỗi cho tới khi hết ngân sách token, ho

We are going to build a conversational support agent that answers questions about a SaaS API, checks user sentiment, and hands off to a human when frustration s

Customer support chatbots have moved past rigid decision trees. Modern systems use large language models to parse intent, retrieve knowledge, and hold multi-tur

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Hello, I'm Shrijith Venkatramana, and I'm building LiveReview — a blast-radius aware AI code review built for your business-critical systems. Star us to help de

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How to Give Cursor and VS Code Copilot Live Firmographic Tools via MCP The most efficient way to provide LLMs with native access to live B2B firmographics and i

The fine-tuning vs RAG question usually arrives as a statement: "we need to fine-tune a model on our data." It is one of the most expensive sentences in enterpr

This week my feeds got taken over by AI-generated images. OpenAI shipped ChatGPT Images 2.5, and within days the tech press was full of it: user creations got c

Every team that ships an LLM feature hits the same wall around month two: the bill doesn't look like the demo did. The prototype cost pennies. Production costs

The case against open-weight models has always been that they were the cheaper, weaker option, and if you wanted real quality you paid a frontier provider. As o

Integrating large language models with physical systems, computer vision pipelines, robotics control loops, IoT sensor networks, and augmented reality overlays

In June 2025, I started seriously writing code with AI. One afternoon, a thought crossed my mind: if my boss could see every conversation between me and the AI,

Originally published on NextFuture Bạn cài model local vì nghe "chạy local là miễn phí". Cài xong, gõ một câu hỏi, rồi ngồi đợi tám giây mới thấy ký tự đầu tiên

Developers running LLMs on Apple Silicon often struggle to quantify power efficiency versus throughput. I've built a free, zero-dependency tool to calculate eff

The Problem Building with LLMs is expensive. A single request to a flagship model can cost cents — and at scale, that adds up fast. If you're a solo developer,

I built StacksNG for the Africa Deep Tech Challenge 2026: an offline coding assistant grounded in the docs of four Nigerian fintech APIs: Paystack, Flutterwave,

On my laptop the report streamed in like a little typewriter. Token by token, 0.4 seconds to the first character, exactly the experience I wanted. Then I deploy

DeepSeek's Price War Has a Market-Share Problem DeepSeek V4.1 Flash landed on September 10, 2026, and the spec sheet reads like a provocation: 552 billion param

The moment your code calls a model, your tests get slow, expensive, and non-deterministic. The common response is to just not test that path, which is the worst