Categorical Deep Learning and Universal Numbers
A Confession and a Vision A personal note from the founder of SpeakEZ Technolgies, Houston Haynes I must admit something upfront: when I began design of the Fidelity framework in 2020, I was driven by practical engineering frustrations, particularly with AI development. The limitations of a managed runtime, the endless battle with numeric precision, machine learning framework quirks, constant bug chasing; these weren’t just inconveniences, they felt like fundamental architectural flaws.
Read MoreFewer Tests; Greater Safety
Every software engineering team knows the testing treadmill. Write code, write tests, run tests, fix failures, write …
Proof-Aware Compilation Through Hypergraphs
Software verification has always forced a cruel choice: accept runtime overhead for safety checks, or trust that your …
Hyping Hypergraphs
The industry is witnessing an unprecedented $4 billion investment to finally set aside the 80-year-old Harvard/Von …
Seeking Referential Transparency
In the landscape of modern compiler design, a fundamental tension exists between preserving the elegance of high-level …
Quantum Optionality
The quantum computing landscape in 2025 presents both promising advances and sobering realities. While the technology …
Alloy.Rx: Native Reactivity in Fidelity
The integration of reactive programming into the Fidelity framework presents a fascinating challenge at the intersection …
Coeffects and Codata in Firefly
Modern async and parallel programming presents an engineering challenge: we need both the performance of low-level …
Context-Aware Compilation
Modern processors are marvels of parallel execution. A typical server CPU offers dozens of cores, each capable of …
The Continuation Preservation Paradox
When we set out to build Firefly, we faced a fundamental question that cuts to the heart of functional systems …
Why F# is a Natural Fit for MLIR
In 1998, Andrew Appel published a paper that heralded a change to how we should think about compiler design. “SSA …
Hardware Lessons from LISP
The computing industry stands at a fascinating juncture in 2025. After decades of general-purpose processor dominance …
Speed & Safety with Graph Coloring
The Fidelity Framework faces a fascinating challenge: how do we identify opportunities for massive parallelism hidden …
Beyond Zero-Allocation
The journey of building the Fidelity Framework has taught us that meaningful changes require careful conceptual …
Coupling & Cohesion: Structure is Speed
Software tools face an eternal tension: wait to build fast executables or speed up workflow at the cost of the end …
Danger Close: Why Types Matter
A startup’s gene analysis samples nearly melted because someone confused Fahrenheit and Celsius in their …
A Unified Vision for Ternary Models
The advent of sub-quadratic AI models, heterogeneous computing, and unified memory architectures represents a pivotal …
Code Signing in the Era of Cyber Resilience
The software industry never stands still. While in most cases this translates to technological advance, it also brings …
Discriminated Unions In Post-Transformer AI
The AI industry stands at an inflection point. As detailed in our “Beyond Transformers” analysis, the …
That 2FA Call Is Already Inside Your Network
The world got a wake-up call this week due to Bloomberg’s investigation into how “tiny middlemen” in …
Farscape's Modular Entry Points
The Fidelity framework’s Farscape CLI addresses a pressing challenge in modern software development: how to …
Intelligent Tree Shaking
When we set out to design the Firefly compiler for the Fidelity Framework, one of our core goals was to produce truly …
Wrapping C and C++
The cybersecurity landscape has shifted dramatically in recent years, with memory safety vulnerabilities accounting for …
Considering HKTs in Fidelity
The debate over higher-kinded types (HKTs) in F# reveals fundamental tensions between theoretical elegance and practical …
The Mosca Moment: Quantum Y2K
In 1993, while the tech world marveled at the newly-freed World Wide Web and debated the coming “Information …
Source-Level Dependency Resolution
The Firefly compiler represents a fundamental shift in how F# code gets compiled to native executables. Unlike …
How Our Innovations Express Our Values
The Fidelity Framework and its ecosystem of technologies represent more than technical achievements, they embody our …
Scaling FidelityUI: The Actor Model
As we’ve established in previous entries, FidelityUI’s zero-allocation approach provides an elegant solution …
The Full Frosty Experience
The Fidelity framework represents an ambitious project to bring F# to native compilation without runtime dependencies. …
Leveraging Fabulous for Native UI
The journey of creating a native UI framework for F# presents a fascinating challenge: how do we preserve the elegant, …
High Speed Inference
The future of AI inference lies not in ever-larger transformer models demanding massive GPU clusters, but in a diverse …
Accelerating Network Communication for Fidelity
As a companion to our exploration of CXL and memory coherence, this article examines how the Fidelity framework could …
Building User Interfaces with the Fidelity Framework
The Fidelity framework introduces a revolutionary approach to building desktop applications with F#, enabling developers …
ByRef Resolved
The “byref problem” in .NET represents one of the most fundamental performance bottlenecks in managed …
Static and Dynamic Library Binding in the Fidelity framework
At the intersection of two powerful but largely separate computing paradigms stands the Fidelity framework, a …
Next-Generation Memory Coherence
SpeakEZ’s Fidelity framework with its innovative BAREWire technology is uniquely positioned to take advantage of …
Toward A Transformerless Future
We’re considering designs with innovative approaches to distributed training of models that look beyond the …
Verifying F#
Creating software with strong correctness guarantees has traditionally forced developers to choose between practical …
Memory Management by Choice
Here at SpeakEZ we’re rethinking how developers interact with memory management in systems programming. The …
F# Async From .NET to Fidelity
We at SpeakEZ have been working on the Fidelity framework for a while, and it’s been a journey to find the right …
Frontend Unfuzzled: A Gentle Introduction to MLIR
For .NET developers, the term “frontend” already carries rich meaning. It might evoke XAML-based …
Building Firefly with Alloy
The promise of functional programming has always been apparent: write code that expresses a process to an end result, …
The Shifting Computational Landscape and Returning Primacy of Compilers
The computing landscape has undergone seismic shifts over the past three decades, yet many of our foundational software …
Fargo: Native F# Source-Based Package Management
The journey from managed code to native compilation in F# represents a significant architectural shift. As the Fidelity …
A Path Less Traveled: SpeakEZ's Innovations in Quantum-Resistant WireGuard
In the world of cryptography, a storm is brewing. Quantum computing, once a theoretical curiosity, has been steadily …
The Farscape Bridge
The computing landscape stands at an inflection point. AI accelerators are reshaping our expectations of performance …
A Window Layout System for Fidelity
The Fidelity framework aims to create a novel approach to building desktop applications with F#, enabling developers to …
The Fidelity Framework: A Primer
The computing world has fragmented into specialized ecosystems - embedded systems demand byte-level control, mobile …
Erlang Lessons in Fidelity: An Analysis
Erlang emerged in the late 1980s at Ericsson, during an epoch when distributed systems were in their infancy and …
Dimensionally-Constrained CNN to TopOC Transfer Learning
At SpeakEZ, we are working on transformative approaches to transfer learning that combine convolutional neural networks …
Beyond Transformers
In the world of artificial intelligence, a quiet revolution is taking place. For more than a decade, the presumed …
The Case for Actor-Oriented Architecture
This entry examines the architectural rationale behind avoiding the creation of yet another managed runtime system, …
F# Goes Metal: Fidelity's Hardware/Software Co-Design Revolution
The embedded systems industry has operated under a fundamental assumption for decades: achieving hardware control …
Musings on Mojo: Partially Parallel Paths
In the evolving landscape of programming languages, Mojo has emerged as a fascinating experiment in bridging disparate …
RAII in Olivier and Prospero
In our work to bring F# to systems programming, we’re pursuing a vision of deterministic memory management outside …
Transforming AI Efficiency
The AI industry is experiencing a profound shift in how computational resources are allocated and optimized. While the …
Pondering Python
A recent ONNX conference presentation reveals an illuminating reality about the current state of AI development …
Zero Trust Group Chat
Last year, we explored how F#’s type system could transform threshold signature security through FROST. Today, …
The Hidden Dominance of Functional Programming
When Simon Peyton Jones, one of the creators of Haskell and a renowned researcher in functional programming, explains …
F# Memory Management Goes Native
In the coming waves of “AI” innovation, the computing landscape will continue to fragment into an …
Rust Revisited: A Study of Similarities and Contrasts
The Rust programming ecosystem has transformed how the software industry views systems programming. By pioneering its …
Seeing Beyond Assemblies
The .NET platform introduced the concept of assemblies over two decades ago, a fundamental building block that has …
Cryptographic Certainty
In the world of distributed systems, trust is fundamentally a mathematical problem. For decades, organizations have …
The Twilight of Lazy Lock-in
The software industry has perfected a peculiar form of value extraction that emerges not through direct coercion or …