Merik

"We won’t use this data to train new Claude models"

What about non-Claude models?

Another variation on this is to think about tokens and definitions. Numbers don’t have inherent meaning for your use case, so if you use numbers you need to provide an explicit definition of each rating number in the prompt. Similarly, and more effectively is to use labels such as low-quality, medium-quality, high-quality, and again providing an explicit definition of the label; one step further is to use explicit self describing label (along with detailed definition) such as “trivial-observation-on-naming-convention” or “insightful-identification-on-missed-corner-case”.

Effectively you are turning a somewhat arbitrary numeric “rating” task , into a multi label classification problem with well defined labels.

The natural evolution is to then train a BERT based classifier or similar on the set of labels and comments, which will get you a model judge that is super fast and can achieve good accuracy.

This is a hit piece.

It is cherry picking information that is in the public domain, and then drawing spurious conclusions by purposefully excluding or dismissing other publicly available knowledge, and doing so with a tone of exasperated incredulity.

Folding, sorting, and putting away clothes is a time consuming daily task in a house with young kids, that cant be done by any robot that isn’t humanoid.

Clearing the table, scraping dirty plates, putting condiments back in the fridge, packing away uneaten food as left overs, rinsing the dishes, loading the dishwasher efficiently, then unloading the dishes and putting them all away in the arbitrary places the go, are all tasks to that cant be done by any robot that isn’t humanoid in nature in some way.

The amount of pen caps, dropped food, discarded clothes, school bags, shoes, partially assembled legos, couch cushions, books, and other random bulky items that end up on the floor of a house with young kids makes the idea of robotic floor cleaning being a solved problem laughable.

My assumption is that an Optimus home assistant will be an order of magnitude cheaper than manual labour, which means it will be accessible to people who can’t currently afford a cleaner/maid but whose lives would be improved by having help with the daily workload of life.

This brings up two thoughts, I wonder if the advent of robots will lead to more gender equality as women currently bear the a significantly higher percentage of the domestic work load.

Also, autonomous robots are going to make even harder to convince my kids to clean up after themselves :)

the worse case scenario is if the eye makes landfall north of Tampa, as the counter clockwise rotation pushes more water in front of the front right quadrant. Tampa could be spared if it turns more south, but there are other communities that will more be impacted instead. There is no good outcome here…

Latent Space AI Engineering podcast does this with an AI cohost; mostly for intros and segues. A recent episode used it to summarise a Twitter AMA and while it’s usually used to good effect, that one was one of the first episodes the quality of the co host part was lacking, as it mispronounced things, and was a bit muddled in parts. That said, the podcast has been an incredibly useful and insightful regular listen for me.

This sentence sums up so much of the technology around large transformer based models.

These uninformed, reductionist writings are tedious and have the undertones of conspiratorial thinking that places the author as “the only person who sees the truth“.

There are so many inaccuracies, gross simplifications, mischaracterisations, and strawman arguments, that it’s not really worthwhile to use it as a basis for discussion.

I think you’re confusing the technology with a product developed using that technology. The prevalence of poorly implemented products or the lack of fit of some products to a particular target market, do not inherently provide evidence for conclusions about the technology itself.

Claude 3.5 to the rescue:

“Wibbels claims that developing countries are at a disadvantage in the global economy for two main reasons:

1. They rely heavily on foreign investment.

2. They depend on exporting a limited range of raw materials to earn foreign currency.

Because of this weak economic position, developing countries struggle to borrow money when needed. This makes it hard for them to boost their economies during economic downturns, unlike wealthier nations that can more easily borrow and spend to stimulate growth. “

“Lastly, OpenAI will become a Reddit advertising partner”

I wonder what this means? Will OpenAI be investing research and engineering into creating models that are optimised to create ads that lead to high engagement? Is this a going to be a new revenu stream model for OpenAI?

Nice work and congratulations on the launch! It’s awesome when a project works as expected/assumed. I immediately started using it to build my packing list for my upcoming weekend away.

Three suggestions:

1. If I try the demo on the landing page, and then sign up, I wanted it to automatically have the contents from my demo usage on the landing page copied into my newly created account.

2. I would like another option than an auto renewing subscription. If I could have loaded 5$ or 10$ that my usage would deduct from, instead of having to subscribe, I would have paid money right then and there, but I didn’t because I have too many damn subscriptions (alternative is to offer a non auto renew $10 one month trial).

3. iOS app please :)

Generating revenue through the creation of value via innovation is great; using dark ux patterns to extract revenue from a captive user base, not so much.

I think in cases like postman, people don’t like when features they previously had used for free suddenly comes with a price tag; rather than innovate and create new value that is worth paying for, some companies are opting to take away features user previously had. Yes, they own/control the software and want to make money , which fine, but they created a dissatisfying user experience as they tried to coercively move users into their cloud offering, wether they wanted to or not, and regardless if it provided user value. After they did that, they shouldn’t be surprise a portion of their user base decide to ditch the product and complain about the experience. This is compounded by the fact that they leveraged the contributions of an open source community, and at the same time there are other options freely available that aren’t locked into a proprietary cloud login.