December, 2007

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Acting CTO Role in a Start-up

SoCal CTO

I generally am working as an acting CTO for about 3-4 start-ups or other companies at any one time. I was just talking with someone who asked me to define how that could work and what they meant. Great question. I also found this interesting graphic of the changing needs around the CTO role in different size/type companies that somewhat echoes my experience. ( Roger Smith ) This helps explain where I normally play.

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The Nature of Simple

The Programmer's Paradox

The phone rang; it was so long ago that I hardly remember it. It all comes back in that hazy historic flashback where your never really sure if those were the original facts or just ones that got inserted later. It was another support call. I was the co-op student back then; one of my duties was to handle the very low volume of incoming calls. For some software that might not be hard, but in this case, handling support for a symbolic algebra calculator was anything but easy.

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Mitigating Capability Risk

The Agile Manager

With the cost of capital on the rise, the need to focus on returns is much more acute. Unfortunately, IT has not traditionally excelled at maximising returns. Industry surveys consistently show that a third to a half of all IT projects fail outright or significantly exceed their cost estimate. 1 Delays are costly: IRR craters 25% if a $5mm / 12 month project with an estimated annual yield of $30mm is 4 months late.

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Pedantically Speaking

The Programmer's Paradox

Spending your days programming a computer -- if you do it long enough -- will start to have a noticeable effect on your personality. Not that it is a big surprise, one's profession has always -- no matter how complex or simple -- gradually morphed their personality. If you think that all of the accountants you've met are basically the same, you're not that far off base.

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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.