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Raporty o lokalnym AI

Dwutygodniowe wydania o stanie lokalnych LLM i sprzętu — nowe modele, zmiany cen GPU, aktualizacje narzędzi. Datowane, cytowalne i archiwizowane.

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Najnowszy · RaportLocal AI Report #7 — Machine-Speed Attacks: A Year of Breaches and Where Local AI FitsA year of breaches, Oct 2025–Oct 2026: supply-chain worms, AI-run intrusions, shadow AI leaks and grid attacks — and where running AI locally actually helps.Czytaj wydanie →
  • IBM found shadow AI in 43% of breaches, up from 20%, costing $5.39M on average.
  • In Verizon's 2026 breach report, 48% of breaches involved a third party, up from 30% a year earlier.
  • LiteLLM, a proxy many local-AI stacks depend on, was poisoned again on 21 October.
  • Local AI closes one seam well: sensitive data flowing into AI you don't control.
Raport · 8 października 2026Local AI Report #6 — Best Local Coding Models: Three Picks for Every Hardware TierThe best local coding models for 8–16 GB, 24–32 GB and 128 GB machines: three picks per tier, what they run on, and how far behind Claude they score.codinglocal-llmhardwareRaport · 14 września 2026Local AI Report #5 — Europe's AI Compute Gap and SovereigntyThe EU runs just 2 GW of AI compute to America's 35 GW. Inside Europe's 19 AI Factories, the gigafactory tender, and Luxembourg's 20-exaflop sovereignty bet.europesovereigntyinfrastructureRaport · 31 sierpnia 2026Local AI Report #4 — Best Laptops for Local AIIn a laptop, memory bandwidth and memory capacity sit at opposite ends of the price list. The fastest memory you can buy comes in the smallest quantity, the largest comes on the slowest bus, and exactly one part escapes the trade-off.LaptopsHardwareApple SiliconRaport · 25 sierpnia 2026Local AI Report #3 — Best Small LLMs for 8 GB and 16 GB RAM LaptopsAn 8 GB laptop leaves about 6.4 GB for a model, and a 16 GB laptop about 12.8 GB. Here is what actually fits, how much context you get, and how fast it runs with no discrete GPU.LaptopsSystem RAMCPU InferenceRaport #2 · 8 lipca 2026Local AI Report #2 — The Best Open-Source Coding Models Right NowA field guide to the strongest open-weight coding models in mid-2026: the SWE-bench frontier (DeepSeek V4-Pro, GLM-5.2, Kimi K2.6), the best coder you can actually download (Qwen3-Coder), and the setup that gives the most code per dollar on a single GPU.DigestCodingModelsRaport #1 · 7 lipca 2026Local AI Report #1 — The Mid-2026 Local LLM & Hardware LandscapeThe first biweekly digest on the state of local LLMs: the mid-2026 model generation (Gemma 4, Qwen 3.6, DeepSeek V4), where GPU prices actually stand, and what the current best-value setup looks like.DigestModelsHardware