> or a large language model can be fun, and playful communities have sprung up around these subsidized, free-to-use tools I expect better from Doctorow, who ha

> or a large language model can be fun, and playful communities have sprung up around these subsidized, free-to-use tools I expect better from Doctorow, who has long advocated for people taking personal control of technology. The cool thing about this generation of AI is that you can run it on home, or even on your phone. A $3000 MacBook (yes, expensive) can run a useful voice controlled AI that can do a lot of cool stuff. Image generation models also run locally, and there has been an explosion of tools, running on people's PCs, that allow for entire new creative workflows. Is the training subsidized? Yes, it is. However finetuning is crowd sourced, and again we find ourselves in a new field where anyone who wants to can quickly get up to speed and make serious real contributions. He later degradates the "small" models, ignoring that Mistral's latest release is powerful, people can run models that approach GPT 3.5 (which is incredibly useful!) Powerful voice recognition, the type only dreamed about a decade ago, is now available for everyone. The image generation models that are available for personal use are incredibly powerful. Research papers are coming out left and right about how to do video generation. Models are getting cheaper to run all the time, and we are exactly 1 (hard fought...) manufacturing node improvement away from this stuff being usable on affordable home machines. > But with AIs’ tendency to “hallucinate” and confabulate, there’s an increasing recognition that these AI judgments require a “human in the loop” to carefully review their judgments. FFS people hallucinate things that aren't there. Every time a human accesses a memory in their brain the memory gets altered a little bit. Fact checking exists for a reason. > AI companies are implicitly betting that their customers will buy AI for highly consequential automation How about 10xing current employees? OpenAI is doing a terrible job of capturing the value it provides. Heck most people are doing a terrible job of utilizing AI in their day to day, versus what they could be doing. > All the big, exciting uses for AI are either low-dollar (helping kids cheat on their homework, generating stock art for bottom-feeding publications) or high-stakes and fault-intolerant (self-driving cars, radiology, hiring, etc.). "Take these 10 PowerPoint slide decks, extract the graphs we used in last quarter's summary report, and bring all the chart styles into alignment with our corporate branding". "Go through these last 5 years of corporate financial filings and highlight any areas of business that you think the company is trying to cover up and obfuscate". "Add error checking and retry logic to this shell script, as well as output logging when an error occurs" "Write a mock for this object" "The explanation by teacher gave of how to integrate a sine wave didn't make sense, can you provide an alternate explanation?"