The part about veering constantly to navigate the maze of internal politics is fascinating. The compromises he had to make, like not being able to put in on Github initially. The easy victories, like making TypeScript open source.

The long road to success. The obligatory advice for people writing new programming languages (Hint: Mostly, don't.). His opinion about creating a new language for AI (I agree with his insight, but still think it is possible).

Overall, well worth watching.

Being a non-Christian and it being Christmas time, I am sharing one verse from the New Testament that is, in my opinion, useful - or at the very least, insightful - to anyone, regardless of religion.

Luke 16:10: He who is faithful in a very little thing is faithful also in much; and he who is unrighteous in a very little thing is unrighteous also in much.

The word "them" implied plural. I was looking for the dog and something else. Thanks.

Where is the image given along with the prompt? If I didn't miss it: Would have been nice to show the attached image.

Wondering how they created that baseline. Was it with fMRI data (which has deviance from actual data, as pointed out)? Or was it through other means?

* The entertainment industry will be transformed drastically. Music and movies will be transformed by AI to such an extent that the next generation will find it hard to believe how the industry operated.

* The moonshot will be biological research and research in general. When a breakthrough happens, it will transform our health for the better in astonishing ways.

* In terms of direct adoption, the urban-rural divide is vast.

* Less democratic countries will have an advantage over the democratic countries in terms of fast execution, unless the latter manage to integrate private-public operations effectively.

* I've liked Mary Meeker's reports since the heydays of TechCrunch. This report has a lot of details that I did not know. Nevertheless, I didn't see a single point that stood out.

>Used "dictionary learning"

>Found abstract features

>Found similar/close features using distance

>Tried amplifying and suppressing features

Not trying to be snary, but sounds mundane in the ML/LLM world. Then again, significant advances have come from simple concepts. Would love to hear from someone who has been able to try this out.

API Guide:

https://github.com/google-ai-edge/model-explorer/wiki/4.-API...

Custom Nodes - User Guide:

https://github.com/google-ai-edge/model-explorer/wiki/2.-Use...

[1] https://bmjopen.bmj.com/content/6/5/e010608

Finding: medieval red squirrel strains were closer to medieval human strains than to modern red squirrel strains.

Inference: In medieval England, leprosy spread between red squirrels and people.

Problem with the inference: If they used modern human strains too and then compared them all, it would have been a complete study.

Are modern red squirrel strains closer to modern human strains than to medieval red squirrel strains? What kind of differences are there? Is it that they evolved independently from medieval times to modern times and thus appear different? Lots of questions are unanswered.

A macabre kinship that involved spearing her calf. And eventually, killing the female whale herself while trying to kill her calf again.

With the recent advancements in AI and space technology, space militarization may become the top existential threat we as human beings face, probably topping both climate change and the depletion of essential resources.

[1] https://direct.mit.edu/books/book-pdf/2369358/book_978026237...

The point I was trying to make was that this was titled in Aptiv's Q1 presentation [1] as "APTIV EQUITY INTEREST TO BE REDUCED FROM 50% TO 15%". That is, they will offload most of the control to Hyundai. Immediately, Aptiv shares rose. So for some reason, this is seen as a good thing by Aptiv shareholders.

My point was and is: Considering the above aspect, it will be interesting to see how Hyundai will make use of it.

[1] https://s22.q4cdn.com/336558720/files/doc_presentations/2024...

Again, it returns to the artisans,but mid-paragraph (as is typical in that article), switches to battles again, and returns yet again to silk and artisans. At last, it connects the battles and the silk together.

This is probably why it appears very hard to read. Especially, the mid-paragraph context switches continuing to the subsequent paragraph.

Nevertheless , a fascinating read.

Anything which requires only massive data processing, does not need AI.

Regarding the adoption: The crux is mentioned in the article well. You are building on top of faulty systems. However great the AI model is, you are given faulty data to process. It will not end well.