Erik Meijer
where else to find them
linkedin:erikmeijer1
what they talk about
all 10 in the filters
where they keep going back
- GOTO Copenhagen2 editions2015–2021
- KotlinConf2 editions2017–2019
all 10 in the filters
on a stage with
- Alanna Tempestonce
- Christy Wardenonce
- Emilio Arroyo-Fangonce
all 13 in the filters
who talks about the same things
- Venkat Subramaniam243 talks
- Tom Stuart11 talks
- Jan Vitek26 talks
- Mario Fusco50 talks
- Andrei Alexandrescu27 talks
- Nicolas Rinaudo13 talks
| title | conference | date |
|---|---|---|
| Verifiably Safe Agentic Compute | AI By the Bay 2025 | 2025-11-17 |
Claims that LLMs are just branch predictors and that useful agentic systems need a new compute stack not bigger models. Proposes a programming language that… | ||
| From AI Software Engineers to AI Knowledge Workers | Rebase 2024 | 2024-10-20 |
Argues that AI should empower end users to build automations directly, not just augment developers, and proposes a Prolog-like language Universalis plus… | ||
| Programmer’s Apprentice Season 2: Future Directions in AI-assisted Coding | YOW! Perth 2023 | 2023-09-11 |
Claims that developers are the last generation to write code by hand and that general LLMs replace years of custom models are backed by concrete work: deployed… | ||
| Machine Learning for Developer Self-Care | GOTO Copenhagen 2021 | 2021-11-08 |
Meta handles 2.89 billion monthly users and 4 petabytes of data per day and trains models that turn that data into developer tools. Built systems include… | ||
| Coarsening Optimization for Differentiable Programming | OOPSLA 2021 | 2021-10-17 |
Paper presents coarsening optimization that raises segments to symbolic level, applies differentiation and lowers optimized code, and reports several-times to… | ||
| Inside Every Calculus Is A Little Algebra Waiting To Get Out | SPLASH 2020 REBASE | 2020-11-16 |
Claims that synthetic differential geometry and dual numbers give a purely algebraic foundation for differentiation, replacing limits with an axiom that… | ||
| Inside Every Calculus Is A Little Algebra Waiting To Get Out | Code Mesh LDN 2020 | 2020-11-05 |
Claim: calculus reduces to algebra by treating derivatives as algebraic structure, implemented with dual numbers (a + bε, ε²=0) and proven via… | ||
| Gradient Descent: The Ultimate Optimizer | KotlinConf 2019 | 2019-12-04 |
Claims that hyper-parameters and even hyper‑hyper‑parameters are learned by gradient descent, demonstrated with concrete Kotlin code that computes derivatives… | ||
| My Life as a Tech Transfer Monad | KotlinConf 2017 | 2017-11-02 |
Argues for making uncertainty a first-class language feature and shows concrete work: a probability monad implemented in PHP/Hack, sampling via multishot… | ||
| One Hacker Way | GOTO Copenhagen 2015 | 2015-10-05 |
Argues that push-based reactive systems scale where pull/synchronous designs fail, citing work that puts RxJava into production (optimized for tens of millions… | ||
| Interview with | GOTO Chicago 2013 | 2013-04-23 |
Startup Applied Duality builds a real-time streaming big-data product around Rx open-sourced (Dec 2012) and compatible Java/JS implementations (Netflix Java… | ||
| Fundamentalist Functional Programming | OSCON 2009 | 2009-07-20 |
Argues that mixing effects into imperative or “functional” languages breaks expectations: lazy LINQ queries in C# interleave console output and delay… | ||
| nothing matches | ||