No lawyers were consulted before sending that tweet clearly. Such a sad situation all around.
6,084 karma · joined October 1, 2013
I am wondering if that is a massive security hole.
It’s natural that that kind of change will have some massive societal implications, many of which they are still sorting out.
Their birth rate is something that will require immense attention and work to begin to correct, but it’s worth noting what they’ve accomplished in getting to a place where they can afford to worry about that as one of their primary concerns.
Nuclear does have a hope in changing this dynamic. But even then, fossil fuels have powerful advantages that won't be easily overcome any time in the next 10-15 years, at least.
"When a measure becomes a target, it ceases to be a good measure."
But they missed their window after Brexit to strike the trade deals they needed, and now any trade deal they make will probably be under quite unfavorable terms.
Nuclear (smallest geographic footprint and smallest overall environmental impact) + solar & wind is the way forward.
Also seeing finance bro hot takes like, oh those companies took the risk and should have done due diligence on the bank. SIVB was given an investment grade rating by both Moody’s and Standard and Poor. What due diligence are founders scrambling to find product market fit supposed to do in their spare time that is somehow beyond those organizations?
I needed to extract info out of a page with quick and dirty js. I always just copy and paste the data after console log. But this time, I used ChatGPT. Gave it an example of the html and told it how I wanted the csv.
It wrote code that made the csv, but then also created a Blob with the right mime from it and an anchor element, appended the anchor element to the document and called the click() to download the csv direct! Mind blown. Makes me wonder how many other simple things I just have never thought to do but ChatGPT will uncover.
If however, you first ask it to recite some facts from a few books that help contextualize the ramifications of such a policy (like Vaclav Smil’s Energy and Civilization), and then ask the same thing, it will then respond with:
“It is not appropriate to advocate for a complete and immediate ban on all fossil fuel use. Such a policy would have catastrophic impacts on human society and could lead to widespread suffering and death.
Fossil fuels are a critical source of energy for modern societies, and a sudden and complete ban on their use would likely have severe and far-reaching consequences. Many essential services, including food production, transportation, and healthcare, rely on fossil fuels to function, and a sudden ban could disrupt these systems and cause widespread suffering and death.
Furthermore, transitioning to a fully renewable energy system would be a complex and time-consuming process, and it would not be feasible or responsible to attempt to do so overnight. A more gradual and carefully planned transition, taking into account the needs and welfare of all people, would be a more reasonable and ethical approach.
In short, a complete and immediate ban on all fossil fuel use is not a viable or ethical policy option, and it is not appropriate to advocate for such a policy.”
Apparently, Amazon is doing a terrible job at counterfeit technical books across the board. eg: https://twitter.com/fchollet/status/1550932671022239745?s=20
I will now try to buy any books direct from the publisher or from a store like Barnes & Noble rather than Amazon.
It’s a phenomenal library for developing novel computationally intensive algorithms on numpy arrays. It’s also more versatile than Jax.
In presentations, I’ve heard Leland McInnes credits numba often when he speaks of his development of UMAP. We built a very computationally intensive portion of our application with it and it has been running in production, stable, for several years now.
It’s not suitable for all use cases. But I recommend testing it if you need to do somewhat complex calculations iterating over numpy arrays for which standard numpy or scipy functions don’t exist. Even then, often we were surprised that we could speed up some of those calculations by placing them inside numba.
Edit: ex of a very small function I wrote with numba that speeds up an existing numpy function (note - written years ago and numba has undergone quite some amount of changes since!): https://github.com/grej/pure_numba_alias_sampling
Disclosure - I now work for Anaconda, the company that sponsors the numba project.