dougmwne

It seems like it would be great for any kind of voiceover work or any recorded training or presentation. If you want to correct a mis-speak or add some information, instead of re-recording the entire segment, you could seamlessly update a few words or sentences.

Model weights were just released and people on Reddit have successfully run locally. The results are impressive!

You should let your family members know that the scammers are going to start sounding like people they know.

Your job is now to find a new job. Push as hard as you can on job searching. Dial down the effort you are putting into your current job.

You absolutely should not stay where you are. You are also extremely unlikely to be able to make any positive changes there, the company product and needs “are what they are.”

I did eventually show a teacher and they were shocked. Their older eyes had no way of focusing on the text and they could barely tell it was anything but a sheet with grey lines.

Whe I was in high school I had plenty of dull classes to sit through. I’m old enough that there were no phones and laptops to keep entertained.

My parents had a laser printer for their business. I realized that it had a very high DPI and also very little ink bleed. I started printing whole books I downloaded at the smallest font size that I could managed to still read, just a few point. I removed line breaks and printed out whole books on a page or two. I found it incredible how much tiny text I could fit on a page.

In class I would read with a little half folded sheet of paper hidden in a notebook. Sci-fi, Russian lit, biographies, classics. I was never caught, but it’s bizarre to think back that I was reading Crime and Punishment while the rest of the class was learning fake American history propaganda.

These apps have sounded like an incredible cesspool for a long time, though I have been recently hearing they are even worse.

Honestly, I think the very concept is broken from the start. Neurotypical people do not need to use online dating or hookup apps. In fact, it robs much of the fun out of the experience. Meeting people in person, seeing how they interact with you, with friends, with others, how well they pick up on signals and how they make you feel and letting that pheromonal magic work is how our species has been doing these things from the start.

The normies should polish back up their social graces and head back to the bar and leave the online dating for the folks for whom it really is the best option. If we rob the apps of their mass market appeal, the profit model can collapse and online dating can go back to the niche it belongs in.

I had the same thought from Thinking, Fast and Slow.

Another variation of this seems to be the “thought loop” that agents such as Devin and AutoGPT use.

Starship has reached orbit!

I want this woman running my postAI-apocalypse hardware research lab.

I don’t think you’ll find many people on HN that are too concerned. On the other hand, I truly pity aspiring devs in school now. The drawbridges on the profession seem like they are getting raised and I don’t know how an intern or junior can add enough value to cut their teeth in the face of things like Devin.

Discord mostly.

I’m not sure what the use case is outside of having real time information about the world as a search replacement.

For example, if a major event or discovery happened, the model would know about it once a critical mass of news stories and discussions had been generated online. You’d probably be looking at a few days before the content accumulated to the point where it would affect the model weights, which encode all human knowledge ever digitized, so some single news article in a training set of trillions of tokens is not enough.

If you want a long term memory of user interactions, long context and RAG seems to do the job nicely as a single fact can be pulled out of a context length of millions of tokens.

Reddit seems to have well and truly jumped the shark. Most of their communities are barely moderated wastelands. Bot activity is absolutely rampant. It had a golden age, but I have no idea how this survives in the post LLM world.

It’s funny, because while technically correct, you may end up fundamentally wrong that there was a limit to the value we might find in parallel compute. After all, we may have lie of sight to AGI through parallel scale alone.