· 5 min read
The web is shutting its doors to AI agents — what changes for you
Yelp, Delta, JPMorgan Chase and Charles Schwab are blocking AI agents. What is closed off, why banks lead the charge, and what your options are.
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RSS feedLocal AI, in plain language
The latest in AI and local LLMs, explained for beginners. Honest about what runs well on your own computer, and with sources for every claim.
· 4 min read
Try Reflection's 501B Beam for free on Ollama Cloud — no GPU farm required
For a limited time, you can run a 501-billion-parameter open model from your terminal with one command — zero data retention, no 280 GB of GPU to buy.
local-llmannouncementsai-newsbeginnersRead· 5 min read
FLUX 3 Image Klein: a 5.6B open-weight image model for your 8GB GPU
Black Forest Labs' 5.6B image model generates and edits photos at up to 4K, and the INT8 build fits on an 8GB gaming GPU. Here's the honest memory math.
local-llmnew-modelshardwareai-newsRead· 5 min read
DeepSeek V4.1-Flash-1017: faster open-weight agent updates, and what it costs to run one
DeepSeek's updated Flash model scores 77 on DeepSWE with MIT-licensed weights — but it's a server-class 748B model, not a home-PC one.
local-llmnew-modelsai-newsbeginnersRead· 5 min read
NVIDIA's Nemotron 3.5 Super VL: a 120B agent model that fits on one DGX Spark
NVIDIA's open 120B agent model reads PDFs, charts and video, and runs on a single DGX Spark — here's what it actually costs to run it yourself.
local-llmnew-modelshardwareai-newsRead· 5 min read
Meta's Muse Spark Open: 816B open weights that run on two Mac Studios
Meta released the weights of its 816B coding agent model. Here is the memory math on each format, what hardware it actually runs on, and what changes for you.
ai-newsnew-modelslocal-llmhardwareRead· 5 min read
Magnitude: a self-tuning local inference engine that compiles kernels for your exact chip
Magnitude is a new open-source engine that compiles kernels tuned for your exact chip — its team claims 92% faster decode than llama.cpp on a Mac.
local-llmai-newshardwarebeginnersRead· 5 min read
Step 5 Preview weights are out — what the license allows and the hardware you need
StepFun published the Step 5 Preview weights on October 15 under its own Model License 1.0 — the license verdict in plain terms, plus the real memory math.
ai-newslocal-llmnew-modelshardwarebeginnersRead· 4 min read
Ant's Ling-3.1-flash: a 560B open model under an MIT license — the license matters more than the size
Ant Group published the weights for its 560B-parameter Ling-3.1-flash under an MIT license — what it means for running AI yourself.
ai-newslocal-llmnew-modelsopen-weightsbeginnersRead· 4 min read
MiniCPM-V 4.7: a 35B vision model that acts like a 3B on your hardware
OpenBMB's MiniCPM-V 4.7 is a 35B vision model with only 3B active per token, Apache 2.0, day-0 GGUF. The hardware math — and the claims still needing checks.
new-modelslocal-llmai-newsRead· 5 min read
Fish Audio Drama 3: an open-weight voice model you can direct like an actor
Fish Audio released Drama 3's weights: a 35B voice model that takes plain-language direction and leads an independent pronunciation test.
ai-newslocal-llmnew-modelsappsRead· 5 min read
StepFun Step 5 Preview: a 600B agent model's open weights drop October 15
StepFun's 600B-total agent model opens its weights on October 15. It only uses 27B per token — here is what that means for your own machine.
new-modelslocal-llmai-newsbeginnersRead· 4 min read
NVIDIA Nemotron 3.5 Bolt: a 74B open agent model that fits in 24 GB
NVIDIA says its new Bolt 74B-A9B agent model is fully open and fits a single 24 GB GPU when it lands October 15. Here is the memory math and the 2-bit catch.
new-modelslocal-llmai-newshardwareRead· 6 min read
What is Muse? Meta's personal AI agent, explained
Muse is Meta's personal AI agent with its own computer, memory and tools. Here's what it does, how it works, what it costs, and how to try it.
ai-newsappsbeginnersannouncementsRead· 5 min read
EmbeddingGemma 2: search your files by meaning, image, and sound
Google's 740M open model maps text, code, images, video and audio into one space and runs in 567 MB of RAM on a phone.
local-llmnew-modelsbeginnersai-newsRead· 4 min read
Claude Haiku 5.5 costs 10 cents per million tokens — when does local AI still win?
Haiku 5.5 is up to 90% cheaper than its predecessor. Here is when paying for cloud AI beats running a model on your own machine, and when it does not.
ai-newslocal-llmbeginnersRead· 4 min read
Nvidia may buy Reflection AI: what it means for Beam's open weights
Early talks could deepen Nvidia's $800M stake or end in a buyout. Beam's promised Apache 2.0 weights are what local users should watch.
ai-newsnew-modelslocal-llmRead· 4 min read
Microsoft Decision-1: a 9B decision model at $0.042 per million tokens
Microsoft's Decision-1 returns yes/no and routing scores at $0.042 per million input tokens — built on the open-weight Qwen3.5-9B you can run locally.
ai-newsnew-modelslocal-llmannouncementsRead· 5 min read
Qwen-Image-2.1-Turbo: 8-step image generation and editing on your own GPU
Qwen-Image-2.1-Turbo generates and edits images in 8 steps instead of 40 — a 12 GB card can run it, but the research-only license is the real catch.
announcementsnew-modelshardwarebeginnersRead· 4 min read
Ecosia dropped Mistral for open-weight models — and cut its AI costs in half
Ecosia replaced Mistral with open-weight models like Qwen, GLM, and Kimi — the same weights you can run yourself — halving its AI costs while improving quality.
ai-newsannouncementslocal-llmbeginnersRead· 6 min read
Windows can now run your GGUF models itself: Microsoft's llama.cpp move explained
Microsoft wired llama.cpp into Windows ML, so a GGUF model can run through one Windows API — experimental, but a turning point for local AI on PCs.
local-llmannouncementswindowsbeginnersRead· 6 min read
Liquid AI's Open d1: decision models that answer in one pass, not a paragraph
Liquid AI released two open-weight decision models that return probabilities instead of text — one question takes 8 ms on an RTX 4090.
new-modelslocal-llmannouncementsbeginnersappsRead· 6 min read
Interfaze 1 Lite: an open model that reads invoices, transcribes calls, and shows its work
A new Apache 2.0 model does OCR, transcription, and data extraction with confidence scores and bounding boxes — but it needs an 80 GB GPU, not your laptop.
new-modelslocal-llmannouncementsbeginnersRead· 5 min read
Best local AI models for 16 GB of RAM
16 GB is the most common machine on desks today. Here is which open models actually fit in it, with real file sizes and honest picks.
local-llmbeginnershardwareRead· 5 min read
Surface Laptop Ultra + RTX Spark: what changes for AI on your own machine
Microsoft and NVIDIA launched RTX Spark laptops with up to 128GB of unified memory. The memory config you pick decides which AI models you can actually run.
local-llmannouncementshardwarenew-modelsbeginnersRead· 4 min read
Mistral Large 4 ('Le Chonk'): why a 1-trillion-parameter open model still won't fit on your PC
France's Mistral just previewed a 1-trillion-parameter open-weight model. The headline number is exciting; the memory math says your home PC can't run it.
local-llmannouncementsbeginnersnew-modelshardwareRead· 5 min read
NVIDIA PAIR: put your idle PCs to work as one local-AI team
NVIDIA's free beta router pools the spare compute in your home — plus free speed boosts for the GPU you already have.
local-llmannouncementsbeginnersappsRead· 4 min read
llama.cpp v0.6.0: day-one support for a 320B model, and faster Apple GPUs
The free engine behind most local AI just got its biggest update in months — a new 320B model runs day one, and Macs get up to 3x faster matrix math.
local-llmannouncementsnew-modelsappsRead· 5 min read
Reflection's Beam: the West's 501B open model — and when you can actually run it
Reflection AI unveiled Beam, a 501B open-weight model designed to rival China's best — but the weights aren't out yet.
local-llmnew-modelsannouncementsbeginnersRead· 5 min read
DwarfStar 4: a narrow engine that runs big MoE models on your own machine
A new engine from the Redis creator runs big models like DeepSeek V4 Flash fast on a 96GB+ Mac — but only supports a handful of models.
local-llmnew-modelsappsbeginnersRead· 4 min read
NVIDIA's $4,999 DGX Spark 64GB: what a cheaper local-AI box actually buys you
NVIDIA's cheaper local-AI desktop arrives October 23 — plus free speed boosts for the GPU you already own.
local-llmhardwareannouncementsbeginnersRead· 5 min read
Kolibri-1: what a 78-billion-parameter open model really costs to run
Aleph Alpha released 78.1B open weights under Apache 2.0. Only 3.46B parameters work per token — but the whole model still has to fit in your memory.
new-modelslocal-llmhardwarebeginnersRead· 4 min read
TensorFold: faster local LLM answers with identical output
A new free engine makes local models decode up to several times faster — and its 'exact decoding' promise means no output token changes.
local-llmnew-modelsannouncementsbeginnersappsRead· 5 min read
AstaBrief 8B: a small open model that writes cited science reports on your machine
Ai2 open-sourced an 8B Apache-2.0 model that turns your research question and papers into a cited report on your own machine.
local-llmannouncementsnew-modelsbeginnersRead· 4 min read
Speculative decoding: free speed for your local LLM
A software update can make your local models answer noticeably faster on the same hardware — here is how speculative decoding works, and where it helps most.
local-llmbeginnersappsRead· 4 min read
Ollama 0.35 can now make decisions, not just chat
Ollama's new decision models answer yes-or-no, pick-a-category or give-a-score questions in about 90 milliseconds on your own machine — no cloud, no prose.
local-llmannouncementsbeginnersnew-modelsRead· 2 min read
Welcome to the Local AI Advisor blog
What this blog covers, who writes it, and how we keep posts honest about what AI on your own computer can and can't do.
local-llmannouncementsbeginnersRead· 4 min read
Ai2's Olmo-core 3: Why Bigger MoE Models Can Still Run Fast
Ai2 released Olmo-core 3 on 1 October to train larger MoE models more efficiently. Here is why active parameters matter on your own machine.
local-llmnew-modelsannouncementsbeginnersRead