Blog about things you don't understand yet
Blogger Sean Goedecke argues that writing controversial blog posts forces deeper learning and clearer thinking, contrary to common advice favoring unstructured self-expression. He claims that structur…
Blogger Sean Goedecke argues that writing controversial blog posts forces deeper learning and clearer thinking, contrary to common advice favoring unstructured self-expression. He claims that structur…
The European Union AI Act requires AI-generated content to be identifiable via watermarks or digitally signed metadata, with C2PA Content Credentials as a key implementation. However, C2PA adoption is…
The European Union AI Act will require LLM watermarking by August 2026, but experts argue text watermarks are inherently easy to remove due to the compressed nature of text. Google's SynthID and other…
Stating the obvious is surprisingly useful, as it can clarify tacit knowledge and provide catharsis, but it is hard and sometimes dangerous. The author argues that articulating obvious truths helps al…
AI inference is profitable, with frontier providers reporting 70%-80% gross margins, contradicting claims that it is unprofitable. Cost estimates show inference costs around $1 per million tokens, whi…
A widely cited claim that AI inference GPUs last only three years under high utilization is based on an anonymous source from a paid expert network, raising questions about its reliability. Google has…
A growing number of anti-AI arguments in the tech industry echo the rhetorical structure of historical fascist writings, drawing on nostalgia for a purer, more spiritual past and framing modern techno…
Software engineer Sean Goedecke shipped multiple personal projects in the past year using AI assistance, including a daily SkiFree game at skifreedle.com, an automated Anki card generator called Autod…
Developers building LLM-powered applications should choose between pipelines and agents based on their need for predictability versus flexibility, as pipelines offer tighter control over cost and late…
OpenAI's o3 model performed worse at geolocation when using a widely-circulated "GeoGuessr" prompt than with a basic default prompt, according to a benchmark test of 200 images. The median distance fr…
Engineers are accumulating "prompt debt" by writing model-specific instructions for AI coding tools that become obsolete with each new model release, warns a developer. Unlike traditional code debt th…
The just-say-no engineer, a senior developer archetype that thrived during the zero-interest-rate policy (ZIRP) era by blocking unnecessary code and complexity, is now struggling as tech companies shi…
Staff engineer Sean Goedecke now uses LLMs to produce entire pull requests in familiar code areas, relying on agents for every change and pushing PRs after a single editing pass as of early 2026. He a…
DeepSeek-V4-Flash, a new local AI model, now makes it practical for engineers to experiment with "steering" — a technique that manipulates a model's internal activations to guide its outputs. The stri…
Space-based AI datacenters can effectively dissipate heat through radiators in shaded areas, using radiation as the primary cooling method in a vacuum. While the concept requires launching hundreds of…
Thinking Machines released Interaction Models, its first AI model, designed to enable fully-duplex real-time conversation where the system can listen and speak simultaneously in micro-turns. The model…
A writer argues that left-wing critics of artificial intelligence overlook how large language models serve as powerful disability aids, helping people with brain fog, chronic pain, neurodivergence, an…
AI coding assistants like Claude Code are raising the performance floor for weak software engineers, transforming them from net-negative contributors who create problems for colleagues into functional…
Despite predictions that longer-horizon training would slow AI progress as models require more time and FLOPs to complete complex tasks, AI capabilities have accelerated rather than stalled. The METR …