The switching costs are so low (zero) that anyone using these models just jumps to the best performer. I also agree that this is not a brand or narrative sensitive project.
I think an API would be fantastic for use cases like Aider / SWE agents. The primary issue besides fully understanding the code base is having up-to-date knowledge on libraries and packages. Perplexity has "online" models. And phind with Claude, GTP-4o, Phind 70 + search / rag would be awesome.
this is mainly to prolong time on site / impressions that can be served. of course 98% of the banners on those pages are served by doubleclick (google) and thus google makes more money, the crappier the page.
There is some work with zero shot (decoder only) time series predictions by google and an open source variant. Curious to see how these approaches stack up as they are explored.
I have found just using it in the web interface comperable to OpenAI. But the context window makes a huge difference. I can dump alot more files in ( entire schema, sample records etc)
The emerald mine + hand wavy dismissal of his achievements is pretty wishful thinking. You can be totally repulsed by his behavior and trolling. But he has taken a few giant swings and hit them out of the park.
They really have a flywheel of internet destruction. The fact that they own the entire display advertising business + search and ping pong people from a 50% paid search listing to a CPM arbitrage SEO website and back is just gross.
Remove links to content that could be characterized as "SEO spam. Google has spent billions of dollars on this right? No way you could detect that a page with 27 (google) ads that takes 12 minutes to scroll is not useful content.
this seems the most rational. BTC is up 15% in the last 5 days. Who knows how much effect his publicity stunt is having on the price but assuming he has a large percentage of his liquid assets in bitcoin. The pump may end up making him more money than the million he puts into escrow.
My company has gone years wanting our product catalog to have structured data around our products but not going through the tedium of extracting it all. about an hour of prompt tweaking and it can pull, normalize, summarize and output valid json from all of our products. Basically pulling it out of a big unstructured html blob.
Probably better to use an off the shelf recommender or Amazon personalize. Amazon personalize will turn your product text data into embeddings and use that + collaborative filtering to generate various types of recommendations.
It’s the innovators dillema. Google is selling the answers to questions for millions of dollars per day. If their bot answers with ads, people will use another bot.