AI Chronicles

Rolodex

An open, public, curated collection of AI information sources. Structured as a reference tool for the discerning researcher.

Search Rolodex

Academicnorth_east

ArXiv AI Sanitizer

A curated weekly filter of the most impactful machine learning papers, stripped of hype and focused on foundational breakthroughs.

Oct 2024Open Source

Newsletternorth_east

The Latent Space

Deep-dive explorations into the engineering side of AI. Highly technical interviews with the builders of the modern stack.

Nov 2024Substack

Technicalnorth_east

HF Model Explorer

Advanced visualization tool for understanding parameter distribution and architecture across the HuggingFace ecosystem.

Sep 2024Web Tool

Policynorth_east

Algorithmic Watch

A European-based observatory analyzing the impact of algorithmic decision-making systems on society and human rights.

Oct 2024Non-Profit

Technicalnorth_east

Weights & Biases Reports

Live experiment tracking and public reports on large-scale training runs, providing transparency into model behavior.

Nov 2024Enterprise

Academicnorth_east

Distill.pub Archive

The gold standard for interactive machine learning communication. Essential reading for intuitive understanding of complex models.

Legacy ArchivePeer-Reviewed

A note on curation.

The directory is not intended to be exhaustive. In an era of algorithmic noise, exhaustive lists often become self-defeating. Instead, this collection is manually curated based on three criteria:

01.
Intellectual Rigor: Sources must prioritize evidence-based claims and technical transparency over speculative marketing.
02.
Longevity: We favor platforms that have demonstrated a consistent commitment to quality over multiple hardware/software cycles.
03.
Accessibility: While technical, the sources should provide a clear path for a motivated reader to build foundational understanding.

Mikael Alemu Gorsky

Mikael Alemu is an educator and researcher, and the author of two programs: Agentic Software Engineering, on building software with AI agents, and Building AI-Native Agentic Systems, on building software that thinks.

He teaches at the Holon Institute of Technology, near Tel Aviv, where Agentic Software Engineering runs as a credit-bearing course. He is an educator and researcher.

Nine published works, 76 citations. A 350-page textbook under contract with a major academic publisher.

Teaching and programs

Agentic Software Engineering — program, preprint and textbook

The discipline of structured, auditable human-agent workflows for building software. The human frames, specifies and judges. The agent executes. Nineteen modules in four parts, built on a running project called Tribunal, a web application in which agents argue opposing sides of a case and a judge agent decides. Taught for credit at the Holon Institute of Technology.

Building AI-Native Agentic Systems — program, paper and book in writing

How to build systems that hold a language model as a working component, and treat that component as what it is: stochastic, slow and metered. Fourteen modules in four parts, about seventy hours. The running project is the Observatory, a news agency that watches sources, selects what matters and publishes on a cadence.

Pro bono

AI for seniors — free workshop

Helping older adults use everyday AI tools. Delivered to Russian-speaking communities in Israel.

For older adults, artificial intelligence is about preserving quality of life, maintaining autonomy, and sustaining the feeling of independence that defines dignified aging. For seniors who have emigrated, AI becomes a bridge: it can translate documents, explain official letters, help compose emails in the local language, and guide users through government websites. The workshop has been delivered to Russian-speaking communities in Israel, where participants — many of them in their 70s and 80s — discovered that AI could help them read Hebrew documents and communicate with Israeli institutions.

Startup competitions — unpaid time

Judging and mentoring early-stage ventures. Helping teams clarify their value proposition, assess technical feasibility, and prepare for the realities of scaling an AI product.

AC/VC LinkedIn group — community

A group for developers and students working with coding agents. The community shares practical insights, code examples, tool comparisons, and honest assessments of what works in production.