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The Coding Philosopher

Out of My Other Mind

What would it take to convince us that an AI is conscious?

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October 5, 2026 at 8:31 PM
Running an Agentic Threat Model
Workflow, abuse cases, and runtime controls

Helping security and engineering teams extend established threat-modeling practices to autonomous systems without relying on the AI model to enforce critical security boundaries

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October 5, 2026 at 6:19 PM
A Valid Tool Call Can Still Be an Invalid Effect

Why consequential agent actions need a semantic read set

AI agents expose an interface failure: A system can synthesize a transaction at runtime and then erase its read set before emitting the write.

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September 28, 2026 at 3:49 PM
CAFE(S): Your Agent Is Only As Good As Its Context

Even the latest models degrade when operating on unclear inputs. We present CAFE(S), a framework that evaluates context across five dimensions: clarity, actionability, fidelity, efficiency, and security

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September 24, 2026 at 3:06 PM
Finding the Real Bottleneck in Large-Scale ML Training

Real efficiency requires fixing the underlying systems

In production training clusters, actual model execution frequently consumes only half of an accelerator’s theoretical capacity

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September 21, 2026 at 5:30 PM
Signs of a Brewing Crisis
Crises have the destabilizing power to shift incentives and invert power structures

Identifying these circumstances allows operators and engineers to anticipate opportunities when adaptive resilience will be required

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September 17, 2026 at 3:50 PM
What’s in Your Software Repair Kit?
The things you wish you had before a crisis

You can’t prevent or predict the next systems meltdown. But you can build resilience into your systems and organization before the next crisis strikes.

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September 14, 2026 at 6:41 PM
Data Architectures in the Age of AI

Business semantics must be machine readable and continuously synchronized
Federation must become the default for operational workflows
Governance must shift from controlling access to governing autonomous behavior

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September 9, 2026 at 5:01 PM
How CHERIoT Provides Strong and Able Isolation Without an MMU

Co-design of hardware and software offers stronger security and ease of use

CHERIoT is optimized for small devices but showcases what is possible at any scale if you start by assuming CHERI.

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September 9, 2026 at 2:22 PM
Kode Vicious
When You Wish Upon a Prompt
Relying on an LLM doesn’t teach how to write code

Today’s students must be taught not how to spot an errant asterisk, but how all the components of a system work together.

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September 4, 2026 at 2:39 PM
Arithmetic Without Numbers

What happens inside an LLM when it tries to calculate with nothing but matrices

How does a large language model do arithmetic when all it has are matrices—no fingers, no scratch paper, no columns of digits?

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August 25, 2026 at 1:41 PM
Too Many DevEx Metrics, Too Little Guidance

DevEx Metrics Compass: making sense of developer experience measurement

As AI-augmented development becomes standard practice, engineering leaders face mounting pressure to demonstrate its impact.

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August 18, 2026 at 2:28 PM
The Challenge of Efficiency Versus Isolation:
Distributed systems lessons from serving inference

The mechanisms that make production inference affordable are the same ones that dissolve the isolation and recovery guarantees built over two decades.

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August 14, 2026 at 5:26 PM
Operations and Life
Unethical Ways to Manage Technical Debt

You can ignore it, or you can adopt more above-board techniques that reframe projects so that confronting tech debt is an upfront part of the plan.
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August 11, 2026 at 3:23 PM
Where to Draw the Line
Which decisions should not be handed over to LLMs?

AI automation is only replacing the visible artifact of software engineering, not the actual job. We are demanding senior judgment while eliminating the work that produces it.

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August 6, 2026 at 2:40 PM
The Coding Philosopher -
Indirected Reality:
Language, truth, and LLMs

How can LLMs appear to know facts about the world when they are trained only on patterns in language rather than direct experience of reality?

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August 3, 2026 at 1:30 PM
Where Does the Foundation Come From?

AI is taking over the work that used to develop professional judgment. For engineers with grounding, AI is a multiplier; without it, AI creates a productivity illusion in which output outpaces understanding.

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July 28, 2026 at 2:09 PM
Titan Transients and LLM Scalability
The ghost in the machine

Is the compute-efficient frontier (CEF) a universal constraint on the scalability of GenAI systems? It is a consequence of larger LLMs detecting inter-corpora correlations on all size scales

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July 23, 2026 at 4:18 PM
Beyond Zero:
Enterprise Security for the AI Era
Beyond Zero is a new security paradigm designed for the AI era. Google’s vision for the future of this access model as well as a call for industry collaboration and standards development are outlined here.

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July 21, 2026 at 4:11 PM
Goodbye, and thanks for all the Bikesheds!

The only bit left of FOSS as we know it will be that users will be able to read the source code. As reproducible builds catch on, they might even be able to compile that, as long as they make no modifications.

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July 14, 2026 at 1:18 PM
Kode Vicious:
Pebbles on the Beach
Keeping hold of the big questions

There are fewer things more maddening than watching someone wander around a space bumping into ideas as if they’re in a pinball machine.

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July 7, 2026 at 1:20 PM
EngThrive: Make It Fast and Easy to Do Great Work

A durable model deployed at Microsoft that measures outcome-oriented engineering organizing productivity into three dimensions: speed, ease, and quality, with "thriving" as a well-being guardrail

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June 30, 2026 at 3:30 PM
You Don’t Know Jack About Formal Verification:
What can you confidently guarantee about your software?

By eliminating the cost of writing proofs, AI is removing the biggest barrier to formal verification.

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June 24, 2026 at 1:00 PM
In Code They Think; In Proof We Trust

AI agents can be hijacked by prompt injection to exfiltrate sensitive data.

Solution: Constrain the agent to express its plan as a Kotlin script, then statically verify the script against a security policy before execution

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June 15, 2026 at 1:31 PM
The SPACE of AI:
Real-world lessons of AI’s impact on developers
AI is augmenting developers rather than replacing them. Effective integration depends as much on team culture and support structures as on the tools themselves.
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June 9, 2026 at 1:32 PM