Tag: AI
i really really really hate AI images & music
the death of mediocre
The River
You and I are
Accountable
They knew way back in seventy-two, in big block letters on the overhead projector:
ai in the linux kernel, from the perspective of a non-kernel dev
i swear, i have to find a better hobby than writing about ai every once in a while.
We have reached augmented inteligence before AI
We had that at our fingerprints and we never knew about it
The AI oracle
A real short story about the use of AI tools at work.
Claude, am I going to die?
when you put your life in the hands of black mold
Tablet-Fed
I am deeply concerned.
Termitennae III: FEEDFOREWORD
Chapter 3
AI Behind the Scenes: Generating Rhetorical Situations for Business Writing
A presentation for SJSU's Teaching with AI Faculty Showcase, Spring 2026
About AI and Photography
Photographers, we need to talk...
Sobre la IA y la fotografía
Fotógrafos necesitamos ablar...
AI is ruining what I'm passionate about
and maybe i should reconsider my line of work
Feeding the machine
I know for sure that I am not the only one who feels it, but there is something profoundly sickly about creating and putting things online these days, compared to how it was (think pre 2010). The irony of this reflection post, or rant if you will, is not lost on me.
The Digital Joiner
Drawing Parallels between the Arts and Crafts movement and modern day AI
How I Use AI in March 2026
Brief write up on how I use AI at the moment.
AI inspires Oregon Venture Fund to revise their startup assessment framework
I remember when Oregon Venture Fund first published this framework. Because it provided transparent guidance on what they used to assess startups.
Oregon AI Accelerator reveals inaugural cohort
I’ve been nudging folks to see if anyone had any details about who was selected for the new Oregon AI Accelerator. And all of that nudging finally paid off. Curious — like I was — about who they selected…? Here’s the list of the 20 companies they picked.
Bringing “tech’s biggest All Stars” to Portland
One gripe I often hear about Portland folks is that we don’t tend to think big enough. It comes from a good place. Recognizing that we’ve got a ton of creativity, talent, and potential. We just don’t always have the risk tolerance. But that may be changing if AJ Green of the AI Collective has anything to say about it.
What is slow tech in the age of AI?
Introducing tech writing for people who find contemporary technology stressful
Ranking chatbots based on their likelihood of survival
judgement day approaches
Portland startup AheadComputing raises $30 million
I’ve been talking about the hardware renaissance that’s beginning to take shape around here. You see, as AI computing resources become more and more scarce, I hypothesize that we’re going to see people working to advance the technology to make things more efficient and effective. And a local startup helmed by Intel alums is definitely running that playbook. AheadComputing just raised $30 million bringing it to $53 million raised in total.
𝗔𝗿𝗲 𝗟𝗟𝗠𝘀 𝗧𝗵𝗿𝗲𝗮𝘁𝗲𝗻𝗶𝗻𝗴 𝗢𝗽𝗲𝗻 𝗦𝗼𝘂𝗿𝗰𝗲 𝗜𝗻𝗻𝗼𝘃𝗮𝘁𝗶𝗼𝗻?
Just yesterday OSS community (me included) found a new topic to reflect on.
Beyond Context Graphs: Why 2026 Must Be the Year of Agentic Memory, Causality, and Explainability
The context graph debate is important, but it’s just the beginning. The real revolution comes when agents can not only access past decisions, but truly learn from them — building causal models, explaining their reasoning, and reflecting on their own performance. That’s when we’ll move from decision traces to genuine artificial intelligence.
Lex: A Formal Ontology Language for Property Graphs
Property graphs have become the dominant paradigm for modeling connected data, yet they lack the formal semantic rigor that RDF/OWL brought to knowledge representation. While RDF graphs are constrained by their triple-based structure, property graphs offer richer modeling capabilities through typed edges with properties. However, this expressiveness comes at a cost: the absence of standardized formal semantics and constraint languages that can reason about graph structure and properties simultaneously.