And if you want to cancel, put an appropriate date on your calendar. AFAIR, the cancellation must happen within a specific month, before the next annual cycle starts, and after the “penalty payment” applies.
If done correctly, it’s orthophoto(map).
Are social services being cut? No. Cost of higher ed is rising due to rents in big cities (see above), the higher ed is universal. No jobs? C’mon: stat.gov.pl/en/topics/la...
Is it enough to change the demographics? Not at all. Do “pro-life” nonsense is doing harm? Of course. Do we have, similar to other EU countries, problems with affordable housing (in big cities)? Yes we do. Was it made worse due to stupid policies? Yes.
This framing is not very accurate and simplifies the reality too much.
It’s not fifty bucks. It’s $220 per child, on top of back to school packages and programs to support big (3+ families). It is big help for a lot of families. Lack of such programs got us far fright government here.
🚀 Announced today — Grafana Labs has blasted past $400M ARR and 7,000 customers, completed a secondary transaction & more.
Read about our momentum:
grafana.com/about/press/2025/09/30/g...
Into the woods.
🔮 Grafana tells 🫡
Elephants being better leaders than most human-world leaders nowadays.
The best example of a solution looking for a problem. “Let’s brain storm which data sets we own can be abused by LLM to get *something*”
It’s the foreign diplomacy equivalent of a man’s dire mid-life crisis: “You have no idea what I have sacrificed for you, so you should say thank you and apologize!” Later, he buys a big/fast car and yells at everyone around that they are stupid and should have just listened to his ideas.
LOL. So true. Reminds me of so many “let’s do this as an infographics” briefs.
Well, that will make a lot of people reconsider visiting US.
Heard that with mobile phones and social networks. Guess what, it did not prepare kids to be mindful about usage, nor kids became power users of technology. AI is not a technology that enables kids to experiment, use their body, create social bonds, learn new skills.
I am too always boggled when I hear complains “why no garbage bins” when I pass people on a mountain trail, in a national park, kilometers into the wild.
Even in the cities. My soul hurts when I see all the garbage throun into the bushes and ditches. Who does that?
“Own your garbage.” Yes we must!
Bypassing the end-to-end encryption seems like a lawful and substantiated way of policing criminals, but in fact opens a back doors for more villains to break lives of lawful and good people.
Every exception to human-right will eventually enable more harm and suffering from many.
The thing with human rights is that they are universal for all people. This includes villains and bad actors. End-to-end encryption, rule of law, free speech, right to repair, and more can be used in bad faith.
Institutions exist to help societies support lawful and good faith use of the rights.
It seems like a transmission corridor (power line corridor) for power lines. Visible via Google Earth in the region near the path of your flight.
Traitors and fools.
Alemohammad, S., Casco-Rodriguez, J., Luzi, L., Humayun, A. I., Babaei, H., & LeJeune, D., et al. (2024). *Self-consuming generative models go MAD*. International Conference on Learning Representations (ICLR). openreview.net/pdf?id=ShjMH...)
6/6 [Citation with chatgpt.com/g/g-By9MeVog...
I am sure AI folks will look for ways to counter the above.
At the same time, investors, individuals, societies, and governments should acknowledge that the answer already exists: protect human creation and disincentivise synthetic data.
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Homogenization can at least be considered productive (“[…] The incentive for cherry picking ⎯ the tendency of users to favor data quality over diversity […]”), but effectively, it becomes nothing more than reaffirmation of the loudest voice. Not good even as a search engine.
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Each mode in itself lacks creativity.
(Decomposition as a part of the process serves a purpose of reconfiguration, while homogenization can induce creativity as an outside factor.)
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Synthetic data is both a child & a nemesis of current LLMs. Nowadays, we're headed into a world where “AI” generates more-&-more data, promising greater creativity. However, the long-term nature of the creation is a choice between total decomposition & complete homogenization.
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AI autophagy: “[…] data quality is preserved over a greater number of model iterations, but this comes at the expense of an even steeper decline in diversity. […] With each iteration, the dataset becomes increasingly homogeneous.” — Clark in Rice News
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If you want to be data-driven, you really need to be good at understanding data (as a tool and field of knowledge) and the data (a particular set of numbers or observations you use to form opinions and judgments).
When you do not understand either of these, you are just a fraud with a spreadsheet.
Switch that in favor of tldraw to allow sketch notes. Or even better: integrate tldraw’s diagraming/drawing capabilities with canvases. :-)
Let’s say a person U is in dispute with person R. And than walks person T, who really wants U and R to get along. R doesn’t care about the deal. What will happen?
Well, T will offer a deal unacceptable for U (rightly so), and R will blame U. T will second that due to hurt feelings.
🤦♂️
Haha, spot on dear artificial intelligence, spot on.
