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DeepSeek DSpark V4: 85% Faster Without New Hardware (2026)

DeepSeek DSpark V4: 85% Faster Without New Hardware (2026)

DeepSeek released DSpark: 60-85% acceleration for V4 Flash/Pro without retraining. We analyze the mechanics, the 661% figures, and how to connect without a GPU.

Grok Allows NSFW: What Are the Risks in 2026?

Grok Allows NSFW: What Are the Risks in 2026?

Grok has started actively generating adult content. Why has this caused scandals, legal investigations, and how will it change the porn industry and our lives?

Google AI Performance Report: New Search Console Report

Google AI Performance Report: New Search Console Report

Analysis of the new AI Performance Report in Google Search Console: AI Overviews, GEO, SEO, metrics, report limitations, and the future of search in 2026.

HNSW vs IVFFlat in pgvector: when to switch to the index

HNSW vs IVFFlat in pgvector: when to switch to the index

HNSW or IVFFlat for pgvector? Real-world cases, memory and recall figures, the stale centroid trap, and clear thresholds for transitioning from brute-force to index.

One PDF is enough: how hackers break any LLM

One PDF is enough: how hackers break any LLM

Classic hacking is dead. We'll break down how a hidden prompt in a PDF hijacks your AI agent and forces it to leak your entire company database.

LM Studio on 8GB RAM: Best models actually work in 2026

LM Studio on 8GB RAM: Best models actually work in 2026

8GB Mac and LM Studio: an honest review of which models are actually enough — Phi-4-mini, Gemma 4 E4B, Metal and context settings, and why AI advice is sometimes wrong.

LM Studio 2026: What it is and why run AI on Mac

LM Studio 2026: What it is and why run AI on Mac

LM Studio explained in simple terms: MCP, MLX on Apple Silicon, how it differs from Ollama and ChatGPT, and when to choose LM Studio for local AI on Mac.

Vibe Coding is Dead: What Will Replace AI Coding in 2026

Vibe Coding is Dead: What Will Replace AI Coding in 2026

You're no longer a programmer, you just write prompts? Why Vibe Coding is losing its power and what skills developers will need in 2026.

RAG vs Long Context 2026: what to choose for AI system

RAG vs Long Context 2026: what to choose for AI system

Is RAG worth it in 2026, when context has reached 2 million tokens? Inference economics, lost in the middle, multitenant data security — an analysis with real numbers.

GGUF Quantization: Q4_K_M, Q8_0, IQ4_XS for Ollama

GGUF Quantization: Q4_K_M, Q8_0, IQ4_XS for Ollama

Q4_K_M, Q8_0, IQ4_XS — what GGUF suffixes mean and what quantization to choose for Ollama. RAM table for 7B–70B + memory calculation formula.

Why AI Bots Forget You — and How to Fix It | Webscraft

Why AI Bots Forget You — and How to Fix It | Webscraft

After 30 messages, the bot starts to forget the beginning of the conversation. I'll explain how I solved this through several layers of memory — without increasing token

Ollama Launch Cline: Installation and Common Errors

Ollama Launch Cline: Installation and Common Errors

Real experience installing Cline via Ollama: Node >=22 errors, EACCES, PATH after Homebrew, and running Kanban Board on 127.0.0.1:3484.

Ollama LaunchCline: Local AI Agent for Development

Ollama LaunchCline: Local AI Agent for Development

Ollama announced ollama launch cline — AI agent in a single line in the terminal. Local and cloud models, Kanban Board, comparison with Cursor and Claude Code.

Google DiffusionGemma: A New Alternative to GPT and Llama

Google DiffusionGemma: A New Alternative to GPT and Llama

Google released DiffusionGemma — an open 26B parameter diffusion model that generates text 4x faster than GPT, Llama, and Qwen. What this means

Open-Source RAG Tools 2026: How to Choose the Right Stack

Open-Source RAG Tools 2026: How to Choose the Right Stack

LangChain or LlamaIndex? Qdrant or pgvector? Comparison of 12 open-source RAG tools with trade-off tables, 5 ready-made stacks, and antipatterns.

Claude Fable 5: Why Anthropic Opened Mythos Model 2026

Claude Fable 5: Why Anthropic Opened Mythos Model 2026

Anthropic released Claude Fable 5 — the first public Mythos-class model. We analyze benchmarks, pricing, limitations, and the reason for the release after months of silen

1536 vs 3072 Embeddings: Which Dimension Is Better for RAG?

1536 vs 3072 Embeddings: Which Dimension Is Better for RAG?

Comparison of text-embedding-3-small (1536) and text-embedding-3-large (3072) for RAG 2026. RAM, cost, MTEB benchmarks, reranking as an alternative. Choice matrix

Vision RAG vs OCR in 2026: Which Is Better for Document Processing?

Vision RAG vs OCR in 2026: Which Is Better for Document Processing?

Comparison of OCR-first and Vision-first architectures for document processing in RAG systems 2026. GPT-4o, Gemini, Qwen2.5-VL, olmOCR, Docling — quality trade-offs

How OCR Impacts RAG Quality The Hidden Bottleneck in AI Pipelines 2026

How OCR Impacts RAG Quality The Hidden Bottleneck in AI Pipelines 2026

Technical breakdown of how OCR errors break chunking, distort embeddings, and reduce recall in a RAG pipeline. With real artifact examples

How to Run a GGUF Model from Hugging Face in Ollama (2026)

How to Run a GGUF Model from Hugging Face in Ollama (2026)

Step-by-step guide: downloading GGUF from Hugging Face, creating Modelfile, ollama create and run, checking tool calling and common errors. With real commands

Ollama 0.30 in 2026: GGUF, Vulkan, and NVIDIA Acceleration

Ollama 0.30 in 2026: GGUF, Vulkan, and NVIDIA Acceleration

Ollama 0.30 Update Review: GGUF Support from Hugging Face, Vulkan by Default, NVIDIA Acceleration, llama.cpp Integration, and ollama launch.

OCR in Modern AI Systems: From Scanned Documents to RAG Pipelines 2026

OCR in Modern AI Systems: From Scanned Documents to RAG Pipelines 2026

Why 70-80% of corporate documents are inaccessible to AI without OCR. How text recognition fits into the RAG pipeline and when Vision OCR is needed.

AI Models for Characters 2026: DeepSeek, GPT-4o, Euryale

AI Models for Characters 2026: DeepSeek, GPT-4o, Euryale

Practical experience choosing LLMs for AI characters: category routing, cost per 1000 messages, comparison of DeepSeek, GPT-4o mini, and Euryale 70B.

Claude Opus 4.8 Benchmarks vs GPT-5.5 & Gemini (2026)

Claude Opus 4.8 Benchmarks vs GPT-5.5 & Gemini (2026)

SWE-bench, Terminal-Bench, GPQA, long-context — we analyze all Claude Opus 4.8 benchmarks with numbers. Where Anthropic leads, where it lags behind GPT-5.5

How 11 Repeated WebPageTool Calls Almost Burned My AI Agent Tokens

How 11 Repeated WebPageTool Calls Almost Burned My AI Agent Tokens

My AI agent called the same URL 11 times in a row after adding WebPageTool. Why local models behave worse than cloud ones and how I fixed the token-burning loop.

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