> For an LLM, words are the source, and any meaning is just a byproduct that falls out by accident.
Recently, I've been thinking a lot about context and whether an LLM actually creates a true representation of a concept within its vectors. And for our current usage of LLMs, does it even matter? As models become so large, will the difference even be perceivable to us?
If OpenAI and Anthropic eventually become public companies with trillion-dollar valuations, it will be interesting to see if their company ethos remains the same. With that much purchasing power, it's very tempting to gobble up competitors and raise prices.
The Flash era was the most fun I ever had as a developer. Flash was so ahead of its time, and it still feels like we're slowly crawling back after 20 years. Tools like Rive are helping us get closer, but there was something special about the Flash timeline and drawing tools that made it very approachable and fun to work with.
Director was such a fun app for creating CD-ROM content back in the day! I still have fond memories of learning the Lingo scripting language inside Director to make interactive "multimedia" apps, then uploading them to the web and playing them in the browser using the Shockwave Player. It felt like magic at the time.
Recently, I've been thinking a lot about context and whether an LLM actually creates a true representation of a concept within its vectors. And for our current usage of LLMs, does it even matter? As models become so large, will the difference even be perceivable to us?