Papers

An agent does not operate in byte layouts at all. It operates in language, in tokens, in meaning. When a Large Language Model decides to call a tool, it is not parsing your OpenAPI spec (read: the rigid machine contract); it is reading a short piece of natural language, deciding whether this particular tool fits the situation, and inferring how to use it from what the words actually say. The interface an agent consumes is, therefore, not syntactic but semantic.

The orchestration core of our AI features is not ours: it is open source, it is well-supported, and it is moving faster than we ever could on our own.

The model itself has become the easy part. You can call Claude or GPT in three lines of code, and so the real difficulty, the part that never quite makes it into the demo, lies entirely in everything that surrounds the model: the layer that gives it tools, that runs it on a schedule or off a queue or in reaction to some external event, that retries when a tool times out, that caps how fast it hammers an external API, that keeps the secrets out of the logs and tells you afterwards what the whole thing actually cost. This scaffolding has a name, the harness, and it is where almost all of the real engineering of an AI feature actually lives.

The rapid advancement of generative artificial intelligence (GenAI) has brought forth a new frontier in the intersection of technology and law. GenAI refers to the use of AI to generate new content, often in response to a user prompt. It is powered by large foundation models, which have been trained on large training datasets.1 As GenAI gains unprecedented capabilities to generate new creative works, understanding the rights and legal standing associated with these new digital assets becomes paramount.

Migration squashing — collapsing history into a single baseline migration that represents current schema state — is the accepted solution. The AdonisJS documentation mentions it. The tooling to do it reliably does not exist in the ecosystem.

There are two kinds of Node.js backend frameworks.

The past years have seen an explosion of AI advancements, innovations and breakthroughs. Some researchers and companies talk of humanity being on the cusp of inventing the first Artificial General Intelligence (AGIs) systems while many others are actively engineering systems around AI models to give them agency, a field recently buzzing under the term Agentic AI.

In the artistic realm, living organisms have often been used as models (e.g. for nude paintings or portraits), as mediums (e.g. painting on trees or plants), and occasionally as collaborators in the process of artistic creation (e.g. Boronali’s donkey). But recent technological advances have paved the way for a whole new way of incorporating life in our creative practices — by creating it.