What about DiskANN? https://milvus.io/docs/disk_index.md
https://archive.is/L0BdY Summary: * Spotify’s Layoff Impact: CEO Daniel Ek was surprised by the significant operational challenges following the layoff of 1,500 employees. * Financial Performance: Despite achieving…
Does this mean you get additional documentation then the example in the blog? Or is that $99 for the bad documentation?
Is this down?
I constantly do this OpenAI/OpenAPI typo
Looks like they've been in use since 1972 and in use in Healthcare specifically since 1995. https://en.wikipedia.org/wiki/N95_respirator#History
No abstractions turns to spaghetti Too many abstractions turns to spaghetti I don't think the answer is one or the other at all like the blog post is implying. I think his previous conclusion of a threshold makes more…
A little hard to understand why this is cool, but if I understand correctly: 1. Lucene is trying to get Approximate Nearest Neighbours (ANN) search working for semantic search purposes:…
"This work is part of the third pillar of our approach to alignment research: we want to automate the alignment research work itself. A promising aspect of this approach is that it scales with the pace of AI…
Wow this does so well on text! The original model struggled a lot, it's impressive to see how far they've come.
Can't seem to click "I Agree" and try it out. Anyone have a work around? Edit: The answer was patience
It's not a defense. If you want to fix the fact that a lot of tech jobs are bullshit, FAANG or otherwise. You have to fix that phenomenon in all work sectors, because it's not a uniquely big tech created problem.
Most jobs are bullshit jobs https://en.wikipedia.org/wiki/Bullshit_Jobs the phenomenon is not unique to tech. How many finance workers on wall street do you think provide direct value to society?
This is all fluff with very little substance, OpenAI wow'ed the whole world with ChatGPT and all Google can do is post a half-baked fluff piece that they're releasing something "soon"
It's cool you're on here and I'm sure I speak for many people in saying I really appreciate your video series and comments like the above! Thank you!
Great site! I feel like it's missing some things though: * Data Entry -- OCR and the like * Data Retrieval -- Don't search engines still qualify as AI * Sorting mail? * Other factory use cases like removing undesirable…
I wonder how long before Twitter patches this, one thought is that since they've fired so many people they may not be executing well enough to patch this quickly. Also, is there a way to do this where they won't be able…
Or the typical poor execution at extremely large tech companies. Where various people have incentives that aren't aligned with the overall objective of making a good product. Instead people are incentivized to empire…
Basically Carmack is frustrated by: 1. Rate of progress on AR/VR at meta 2. People within Meta not "Giving a Dam!" / Poor decisions made within the org 3. Poor quality of the execution which I guess is related to #2…
Amazing insight, particularly section 6. "- The two important but different abilities of GPT-3.5 are *knowledge* and *reasoning*. Generally, it would be ideal if we could *offload the knowledge part to the outside…
This resonates with me so much, I stumbled into data science out of University a decade ago. Left it to do SWE and came back to it in the last 3 years. So many data scientists are full of themselves thinking they are…
I don’t think this article made a compelling reason not to use Kafka. In fact it may have made the opposite point. Wouldn’t it have been easier to just use Kafka?
Is this open source? Seems like it might be small enough to be great for learning from.
It's quite cost effective to do something like: https://en.wikipedia.org/wiki/Stratospheric_aerosol_injectio... Or https://en.wikipedia.org/wiki/Marine_cloud_brightening
I've thought about this as well. If you have flow for ~6 hrs a day with ~2 hrs a day of buffer time for meetings, lunch, coffee...etc. You'd be in the top third of software developers. Anecdotal for sure but I'd love to…
What about DiskANN? https://milvus.io/docs/disk_index.md
https://archive.is/L0BdY Summary: * Spotify’s Layoff Impact: CEO Daniel Ek was surprised by the significant operational challenges following the layoff of 1,500 employees. * Financial Performance: Despite achieving…
Does this mean you get additional documentation then the example in the blog? Or is that $99 for the bad documentation?
Is this down?
I constantly do this OpenAI/OpenAPI typo
Looks like they've been in use since 1972 and in use in Healthcare specifically since 1995. https://en.wikipedia.org/wiki/N95_respirator#History
No abstractions turns to spaghetti Too many abstractions turns to spaghetti I don't think the answer is one or the other at all like the blog post is implying. I think his previous conclusion of a threshold makes more…
A little hard to understand why this is cool, but if I understand correctly: 1. Lucene is trying to get Approximate Nearest Neighbours (ANN) search working for semantic search purposes:…
"This work is part of the third pillar of our approach to alignment research: we want to automate the alignment research work itself. A promising aspect of this approach is that it scales with the pace of AI…
Wow this does so well on text! The original model struggled a lot, it's impressive to see how far they've come.
Can't seem to click "I Agree" and try it out. Anyone have a work around? Edit: The answer was patience
It's not a defense. If you want to fix the fact that a lot of tech jobs are bullshit, FAANG or otherwise. You have to fix that phenomenon in all work sectors, because it's not a uniquely big tech created problem.
Most jobs are bullshit jobs https://en.wikipedia.org/wiki/Bullshit_Jobs the phenomenon is not unique to tech. How many finance workers on wall street do you think provide direct value to society?
This is all fluff with very little substance, OpenAI wow'ed the whole world with ChatGPT and all Google can do is post a half-baked fluff piece that they're releasing something "soon"
It's cool you're on here and I'm sure I speak for many people in saying I really appreciate your video series and comments like the above! Thank you!
Great site! I feel like it's missing some things though: * Data Entry -- OCR and the like * Data Retrieval -- Don't search engines still qualify as AI * Sorting mail? * Other factory use cases like removing undesirable…
I wonder how long before Twitter patches this, one thought is that since they've fired so many people they may not be executing well enough to patch this quickly. Also, is there a way to do this where they won't be able…
Or the typical poor execution at extremely large tech companies. Where various people have incentives that aren't aligned with the overall objective of making a good product. Instead people are incentivized to empire…
Basically Carmack is frustrated by: 1. Rate of progress on AR/VR at meta 2. People within Meta not "Giving a Dam!" / Poor decisions made within the org 3. Poor quality of the execution which I guess is related to #2…
Amazing insight, particularly section 6. "- The two important but different abilities of GPT-3.5 are *knowledge* and *reasoning*. Generally, it would be ideal if we could *offload the knowledge part to the outside…
This resonates with me so much, I stumbled into data science out of University a decade ago. Left it to do SWE and came back to it in the last 3 years. So many data scientists are full of themselves thinking they are…
I don’t think this article made a compelling reason not to use Kafka. In fact it may have made the opposite point. Wouldn’t it have been easier to just use Kafka?
Is this open source? Seems like it might be small enough to be great for learning from.
It's quite cost effective to do something like: https://en.wikipedia.org/wiki/Stratospheric_aerosol_injectio... Or https://en.wikipedia.org/wiki/Marine_cloud_brightening
I've thought about this as well. If you have flow for ~6 hrs a day with ~2 hrs a day of buffer time for meetings, lunch, coffee...etc. You'd be in the top third of software developers. Anecdotal for sure but I'd love to…