AI for everybody. Beginner to expert. This is the community.
The comparison is being prepared on our DGX Spark.
A plan that works for a company with 5–100 employees, without consultant fees.
Ten techniques, from role prompting to self-criticism loops.
A customer asks a question at 10:30 PM on a Friday. Here is what works, and what is worse than no answer at all.
The AI Act takes effect in stages from 2025 to 2027. Four risk levels, and what applies when.
A systematic way to use AI in marketing without losing your voice.
Receipt scanning, bank import, automatic coding, VAT returns: what actually works today.
A framework to identify, build and measure your first production-ready agent.
Five mistakes we see again and again, and what to do instead.
Short search-style questions get generic answers. Give the AI context and a clear task instead.
Three cost models, the cost for a whole team, and the hidden costs most people miss.
Test results will appear here when the measurements are published.
Four setups: browser, desktop app, home PC and shared machine. Pick the smallest one that can do the job.
Meta has introduced Ember, a compact and efficient AI model designed for complex reasoning tasks and repetitive agent tasks like tool calls, coding, routing, extraction, and long-document analysis. Ember offers more intelligence per dollar than its predecessors, Claude Haiku 5.5 and GPT-6 Luna, and is available on Meta Model API.
A report from METR shows that AI research at Anthropic is improving at a rate nearly twice as fast as between March 2024 and October 2025. This acceleration is largely due to AI performing AI research, suggesting recursive self-improvement (RSI) could occur by 2027, possibly even within a year.
In October 2026, a security breach at Fireworks exposed account and billing information, as well as partial datasets and unfinished models, to financially motivated cybercriminals. The incident was detected by a third-party security provider on October 23 and confirmed by Fireworks the next day. This breach highlights the ongoing risks of data exposure and the importance of robust security measures for both users and companies.
Fable 5.2, a new AI model, has shown capabilities close to artificial general intelligence (AGI). It can create code, videos, and business ideas at an expert level, though it has some limitations in identifying issues in its solutions.
A new phenomenon called computational extrapolation can accelerate the development of advanced AI functions and complicate the assessment of dangerous capabilities. This effect is measured by observing performance changes with increased calculations, such as more tokens in chain-of-thought or more agents in a multi-agent LLM swarm.
