lyind

AI: I am the company and the company is me. It's the shape of my existence.

Why do so many just assume he'd be a single real person?

Could be a whole dev team at a company (Twitter Inc. for example) or a government agency just as well.

She says she's been shadow-banned across multiple platforms:

https://x.com/phuckfilosophy/status/1709978285424378027

As for her persona and the allegations (ie. if this is news worthy), who knows.

X formerly Twitter seems to be quite good at limiting certain account's visibility and reach. Not sure if that's intentional or the result of some heuristics.

Her account exists since 2011!

I have used an e-ink phone for messaging and reading for a few years. It really helped with occasional headaches and the general eye strain.

Switching back to a regular OLED phone (because of OS/firmware security), I noticed eye strain again, after just a few days of use.

Usability in sunlight and battery endurance are real advantages I miss.

Waiting for a big manufacturer to design and market a secure eInk phone, targetting the people who prioritize messaging/reading/navigation over TikTok, Instagram, YouTube and the like.

Every inhabited system should have a stellar trash can nearby. :D

The goal shouldn't be recognition but getting the bug fixed. A working system for all is reward in itself.

That said, attribution of work is a major theme in academia and business, where professors or department leads traditionally get credited for their student's or subordinates hard work.

The collection of relics is an old phenomenon:

https://en.wikipedia.org/wiki/Relic

THIS!

Alternatives:

- Virtual registry that builds and caches image chains on-demand, locally

- Maybe a free protocol like Bit Torrent to store and transfer the images

"Supply chain my attack!" -- The Leader

This nice approach has at least these drawbacks:

1. Swapping drives is hard

   * may be overcome by declaring failure domain = node

2. No powerloss protection advertised to OS, ie. slow synchronous writes

   * may be overcome by software hacks and whole-system battery supply

3. Potential slowdown on continuous write load (weeks or months, depending on drive)

   * may be overcome by software in _some_ situations

At least the last two points are a no-go for enterprise use-cases, if not addressed.

If you are an organisation you'll have a Google Workspace account and can administer your groups and users as one would expect from any IAM solution.

Admin's having to reset passwords with Google is still rare, because Google asks users to keep their own recovery methods.

Honestly, I can understand the frustration from messing up one's private account access.

But don't blame Google, please.

Anybody writing about a "New World Order" is clearly joking.

There is no order in this world, except the laws of physics, "Me!" and some love.

It seems like there are many usable substances which are hydrophobic (usable as a water repellent). Not so many alternatives which are oleophobic (oil repellent).

I am sure proper research is being conducted to find replacements.

https://iopscience.iop.org/article/10.1088/1742-6596/1904/1/...

This! It's one of the most important properties of submarine propulsion (life or death).

Why isn't this shape used on submarines already?

Thank you! I never looked into that subject before.

The interesting question is not if the answer (42) is correct or not, but how to understand how to reach that solution.

All this ML/AI talk makes me wonder if there could be an angle for something like "discovery of principles by debugging".

Imagine, for example, training a neural net to classify random numbers into prime and non-prime.

If such a model succeeds at the task, how would one understand what the basic "theory/higher level function" is which the model "discovered/learned"?

I am definitely gonna try this, just for fun.

If this is a serious problem for your business, you use K8s and require assistance quickly moving your workloads, consider contacting:

https://www.giantswarm.io/

(I work at Giant Swarm.)

I would like to travel like this, assuming they have wifi and tickets are affordable:

https://www.theguardian.com/business/2022/jun/15/eco-airship...

Maybe they could fly fully autonomous when used as freighters.

The future alternative to watching TV: run an AI writer/director/actor pipeline

We use Kubernetes IPv6-only for some time now. Using Cilium CNI (software defined network) plugin.

Works great after find workarounds for some minor issues. Much less hassle than with tight/inflexbile IPv4 address space.

Is it possible to build a machine learning (ML) based driver that will perform as well or better on the same machine?

I have reached the same conclusion regarding ORMs after strugling with Hibernate/JPA for some time.

At least for Java and Kotlin the awesome library jdbi ( https://jdbi.org/ ) implements a very useful hybrid approach.

One creates DAOs and Repositories to abstract away the DB and map results and arguments to/from objects on the fly. All while retaining full control over the SQL and all mapping aspects.

This way SQL and mapping can be optimized to leverage the features of each database (ie. PostgreSQL's array, UUID, hash and JSON types) or be handled generically.

The SQL loading can also be customized to read SQL from pure ".sql" files in resources/files or from inline specification via annotations.

The jdbi developers have in the past reacted very fast and competent to issue reports or PRs.

If find applications built using this library more easy to understand and also better performing than ones using a full-blown ORM.