Viewing profile — matchagaucho

Fortunately, SaaS vendors have already conditioned users to accept usage limits within seat-based plans: “Upgrade to Pro for 50 GB of storage.” How do we make subscribers become eq…

Ultimately, most people don't have ideas for the kinds of personalized entertainment they want 1:1 AI entertainment probably won't be a cold start experience. Much like the "Choose…

It's difficult to think in exponentials. But this demonstrates we're a couple orders of magnitude away from generating 1:1 hyper-personalized entertainment and media for individual…

The 1950s were a different era. Industrial and functional designs and were not protected. Leo knew and acknowledged his body inspirations (Bigsby and Rickenbacker), and considered …

It would be odd to try this as copyrightable in the U.S, where there’s a pretty clear distinction between art added to a guitar, like PRS bird inlays, and the core body shape.

Similar work experience, I was with a CBS-owned music company that had a CNC machine with some old Fender Telecaster and Stratocaster body templates. The hardware manager was cool …

There's another dimension to the Salesforce CRM "build" argument; which is to reduce your 25 seats down to 5, and expend Eng resources to building "agents" to automate many recurri…

I'd like to believe that stable state ends in a pair-programming structure, with a systems thinker/engineer and a domain expert. Someone needs to spot when a linked list is better …

In agentic design, I keep coming back to the idea of “how easily we can compose elements” , along with Fowler’s OOP and refactoring principles. It’s a new frontier, and there are n…

Same debate as the dot-com era. Customer: “I don’t want to pay more than $100/mo for my website” Developer: “What are your goals?” Customer: “1M daily visits, 1,000 monthly signups…

I would love to see a GPT model running on an OpenClaw SOUL.md. The GPT models are highly steerable. So I suspect the "soul" is working as expected. (for context, in OAI enterprise…

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More likely people will delegate their agents to run in the cloud. Edge AI on iPhone, however... many potential applications around vision, hearing, interpreting your surroundings …

Profit is not the goal in large transformational tech cycles. See Bezos' playbook for Amazon. They weren't profitable for years.

"previous killer apps" - exactly. That's the point. Everyone is anchored in AI as being the next desktop app. It's not. We're only using 1% of what these models will ultimately do …

As someone working in the enterprise space with OAI, this still feels like we're in the top of the first inning. Many teams remain anchored on equating AI with chat experiences, wh…

Some redundancy also helps to keep a running todo list on the context tip, in the event of compacting or truncation. Distilled mini/nano models need regular reminders about their o…

Keyboard response feels 10x slower in ChatGPT Projects (possibly for reasons other than react state).

Not to mention LLMs love XML. The markup includes self-describing metadata and constantly reminds the GPT model of explicit context.

Agents can propose refactoring just as readily as humans. If coding agents already read AGENTS.md before making changes, they can also maintain a TECHNICAL_DEBT.md checklist. Keep …

For me, it’s about preserving optionality. If I can run resume {session_id} within 30 days of a file’s latest change, there’s a strong chance I’ll continue evolving that story thre…

The OpenAI PR implies that Anthropic had a "usage-policy" clause with no actual enforcement. Whereas OpenAI won their contract on the ability to operationally enforce the red lines…

These articles are largely based on a false equivalence of LLM=moat. That's not the case. OpenAI is advancing on many fronts; codex, vectorStore, embeddings, response API, containe…

Launch an internal hackathon. Everyone must use the latest Gemini coding models. Vote for the top 5 Chat/Productivity tools. Eventually the culture will come around to: a) build ne…

Large models in general. A semantic query for "fake articles", without examples, is a wildcard search. A commercial RAG solution would use Query Expansion (QE) and examples to find…