Myself, a strategist: Mr. Toussaint Louverture, allow me to introduce you to the principles of agroforestry.

You can watch the show or read the book The Good Lord Bird for a fictionalization of his life, on my list of to-watch and to-read for sure. Anyone have any critical reviews on those as to accuracy?

I tried to post it as a separate post and it threw up an error, is it because I’m federated via kbin.earth and not a lemmy.world account?

hmmm… I can’t get an image in reply to show, why is that? Any hints what I’m doing wrong?

Why Be There I fixed it.

Other than Shane Tamura, who killed Wesley LePatner the Global Head of Core+ Real Estate and the CEO of Blackstone Real Estate Income Trust (BREIT), according to Blackstone’s website, and didn’t give a shit about the NFL.

nice repost for another community, but not a meme.

If we take the Schwartzchild Cosmology at face value we would only ever be able to “pierce the veil” through the boundaries of our cosmos with information/radiation through the Hawking Radiation, at least if the universe containing our local singularity has similar physics at play regarding singularities and the force of gravity.

That said, you could always go “down-well” into a singularity in our universe, but surviving the event horizon as more than particle soup spaghetti is quite a challenge.

This theory is called Schwarzschild Cosmology, and has actually gained some traction recently based on some new experiments.

https://journals.aps.org/prd/abstract/10.1103/PhysRevD.111.103537

As a youth this made intuitive sense to me as I first learned about different cosmological theorems. A black hole is essentially a pocket of mass on which a set of physical properties exist that are different from its containing universe, with the boundary between different physics being the event horizon and the “Big Bang” being the initial collapse of the singularity.

https://arxiv.org/abs/1301.1069

Effectively there is no current consensus on the issue, though Many Worlds and String Theory are widely regarded outside their adherents as non-falsifiable and therefore not legitimate theories.

Essentially the proponents of the theory have created beautiful math that fit their view, but absolutely nothing in the real world that can show that it is a more valid theory than any of the other theories which have equally elegant math to back them.

The simple answer is always antigravity aka magic. You could calculate the force of gravity acting on them and say that amount of antigravity plus the force required to accelerate them at the rate they accelerate including wind resistanceat the elivation they are flying, but you would need their mass and dimensions.

Automated attack drones deployed in swarms. Self piloting, automatic targeting, both kamikazi style and remote payload delivery. Publicly they claim they still require human target confirmation before finalizing the strike, but given how far jamming has come it is clear that full self directed lethal strike is inevitable if not already in play.

https://youtu.be/g_1XNdWEAGU?si=LToVcDBeWlpxvGY0

https://www.nytimes.com/2024/07/02/technology/ukraine-war-ai-weapons.html

This is the start of what will become a wider trend of obscuring identifying features for military and law enforcement personnel. I am reminded of this cautionary video, which is ever more relevant given what’s happening in Ukraine: https://youtu.be/O-2tpwW0kmU?si=b0qw-CCB-1pkSwVQ

You can inspect my comment history. An LLM agent with the proper scraping tools and integrations could answer the question “identify all accounts on lemmy which have expressed a negative view of (insert government), search those accounts for any personally identifying information including photographs and accounts on other websites which they link to more than three times, and create a database of these accounts” in a tiny fraction of the time it would take a human to perform this same task.

It’s what I was thinking about in the shower 🤷‍♀️

Don’t get LLMs confused with specialized ML algorithms. Hallucination is an LLM problem, algorithms like gait recognition have been honing in accuracy since way before LLMs started development. Where LLMs come into the picture is that they can act as agents, processing queries and then selecting the best fit specialized algorithm to process the data and then cross reference results from different queries to compile a correlated multidomain dataset. Done properly, this will yield not just a single answer but a list of potential answers with their relative degree of certainty.

Look at the Harvard facial recognition glasses as a proof of concept of this kind of approach: https://specialconcentrations.fas.harvard.edu/news/heres-looking-you

That’s why I said gait recognition, not facial recognition. Last year GaitNet hit over 99% recognition accuracy, given another year of training the error rate will have gone down and the recognition window will have gone up. https://pmc.ncbi.nlm.nih.gov/articles/PMC11323174/#:~:text=Diverse neural network-based gait,research direction is also assessed.

Yes, and of course wifi is just one frequency band. That kind of technique could also be used with other frequency bands, I wonder what the resolution of 5G is for that kind of telemetry.

See below. The post wasn’t about data acquisition, it was about data sorting.

We are on the same page.