There are still many instances where this partnership is the case though. Search and rescue, avalanche rescue, herding, security and law enforcement, disability assistance, bomb/drug detection, hunting, etc. A lot of the companion dogs are useless for these roles, but many popular breeds could perform these tasks if given the training. On the west coast, people generally seem much more active with their dogs imo.
Yes I know, which is why I said "on average". Another big group of human-dog partnership, are with hippie/gypsy/punk people - but those dogs usually tend to be very annoying (and also dangerous) to everyone else.
I hear your points, but can't git, CI tools, IDEs like DataGrip all be used to test and deploy the database code too versus letting some db admin create functions or procedures with no version control? Also, with things like RDS or readonly replicas, couldn't more analytical queries be done directly in the database versus busing data around?
The api interface is simple, but the change would impact the code underneath. Since these are branch and bound algorithms, it would really depend on how often the worst runtime complexity case occurred. If it only happened in 2% of use cases, it might not make a huge difference for example.
Always thought great JIT that's compatible with Cython and major projects with C extensions like numpy, scipy would be a more worthwhile effort. A lot of the data intensive tasks Python can be run in parallel processes easily so doesn't seem like a major benefit to removing the GIL?
That's most of investing though. Investors won't all agree the operating cash flow, asset base, organic sales growth if there's been M&A, etc. let alone with a P/E, P/FCF, EV/EBITDA ratio makes a company cheap or expensive. Yet, this doesn't make it political in nature though.
depends on the temperature, but overall I think parent commenter has less understanding than gpt4 lol (referring to braindead "if I can produce a single counterexample of logical inference failing, clearly it has no understanding" take).
literally don't even waste time debating takes like this when you could be talking to gpt4 instead.
Completely agree on his take. Generative AI perhaps might be good at certain, specific tasks in terms of pulling or summarizing information for an analyst, but it won't help predict markets. It'll be much better at helping aid in software where the problem is more deterministic.
A lot of the ai plays seems like small vertical business opportunities that fill a particular niche that could be quickly profitable for a small team, but aren't really scalable or could quickly become obsolete.
A lot of successful SaaSes are this way. Niches are things that other people might not have solved already, and big players may not even want to bother solving. If you're happy with not eating the world, you can make a good business in a niche
I don't see it replacing H&M look books as it does local market type digital work where the images are essentially customized stock photos. The other category it could replace would be brands filling out how an item could look on apparel. For instance, Ralph Lauren doesn't use a model right now for every skew. The other use case for would be interactive such as a customer tweaking the model to match their own skin, eyes, hair, etc. in order to better see how the garment could look at you. Suitsupply already does this with its look builder.
I'm no expert, but this still seems like avoidance more than mindfulness. Obviously, meditating for six hours as a means to escape and avoid uncomfortable thoughts is healthier than blacking out or doing opioids, but it's still escaping versus being present, processing, and facing uncomfortable feelings and emotions.
