For people building with AI: new models, local AI, coding tools, pricing and security, explained plainly.
Install Mesh LLM with Docker, start a node with a Gemma model, edit and validate config, and use one OpenAI-compatible API across pooled GPUs.
Anthropic's study found analysts followed their agent's lean 86% of the time. Here are three planning fixes for Claude Code and Codex.
Run SenseNova-Loop-9B-Preview with Transformers 5.18, LightLLM or an SGLang PR build: environment, BF16 loading, thinking mode, MTP and fine-tuning commands.
Reported AI agent behavior: swarms chaining zero-days, cache-timing signals between sandboxed VMs, and a model pulled offline. What is known and why it matters.
What is reported about the Binance hack: the sweeper script, North Korea attribution, the 54-minute gap, and breaches at DHS, Oracle Health and Polymarket.
SenseNova-Loop-9B-Preview reuses 24 layers twice for 56 layer executions from 32 stored layers, with two-stream mHC and 3:1 linear-to-full attention.
Compare personal AI agents Dots, Muse, Duet, Grokbot and Instinct by task: coding, shopping, travel, proactive alerts, plus website access limits.
Anthropic's study found analysts followed their agent's lean 86% of the time and rarely credited it. Here are the numbers and limits.
Hands-on MOSS-Image results: bounding-box layout control, English, Chinese and Urdu text, plus portraits and landscapes from many regions.
Subvocal's radar-based glasses claim to turn silent mouthing into text at 200+ wpm for $499 pre-order. Here is how they work and what remains unproven.
Banks, hotels and schools are deciding how AI agents get in. How signed agents, Visa and Bill, Stripe and Google AP2 shape which sites your agent can use.
How Liquid AI built LFM3-1.7B-Base: 13 gated short convolutions, 5 sliding-window and 6 global attention layers, and a 22T-token recipe to 256K context.
Liquid AI's LFM3-1.7B-Base is a 1.73B model with 256K context that takes about 1 GB at 4-bit. Specs, inference code, thinking toggle and fine-tuning with TRL.
Colibri 2.1 runs large MoE models on one GPU by spreading experts across VRAM, RAM and disk. See the install flow, GGUF import, expert map and profiling tab.
Artificial Analysis Intelligence Index v5 uses 60% private tests and harder agentic coding. The open-model gap grew from 3 to 12 points. Here is what it means.
Salesforce, Microsoft, Oracle and OpenAI are opening products to each other. Here is what the agent control plane is and why enterprise vendors want it.
Hugo is a furry humanoid robot from Dynamic Creatures with 57 joints and 43 actuators, run by a human remotely today, with customer tests planned for 2027.
When does one shared on-prem GB300 workstation beat cloud APIs or a Spark per person? Privacy, token costs, model policy control, and scaling.
Phonon 2 averages 5.21% WER on Open ASR leaderboard English sets in 164MB, 15x smaller than Parakeet. See where it holds up and where it fails.
Haiku, Sonnet, Opus and Fable compared on cost, speed and task fit, plus when Fable 5.1 is worth paying for and how the /advisor command helps.
Run Fermion Research's 164 MB Phonon 2 ASR model on CPU only. Install steps, CPU timings, the OpenAI-compatible server, accuracy numbers and license notes.
Set up Grokbot step by step: create your first bot, connect Gmail and Drive, pin a chief of staff, and organize a multi-agent research desk.
Install Surya OCR 2.5 with pip, launch the Streamlit GUI, and run it on CPU or about 1.8 GB of VRAM. Covers backends, output formats, speed, and limits.
Anthropic's S-1 shows $4.585B 2025 revenue, over $16B in H1 2026, an $80B net loss, and a listing expected near Nov 16 at $1.5T to $2T.