1) Structure the choices offered by the LLM; add “choice_type” and add instructions to the LLM on what those choices should do. E.g. action, dialogue, investigation, whatever makes sense for the genre—the LLM can even generate these at story start—then “choice should direct the narrator to focus on an action-oriented moment”, “choice should direct the narrator to focus on a dialogue between two or more characters in the scene”, etc.
2) Use reasoning whenever making tool calls for choices, summarize the reasoning, and include it in narrative summaries provided as part of the context for future narrative requests. For example, the combined summary might be: “In the last narrative I wrote for the user, Harry and Luna were startled by the noise coming from the edge of the forest. Important scene developments: 1) Luna and Harry had been approaching the edge of the forbidden forest for the last three narrative turns, and in the turn I just wrote they arrived at the edge. 2) Harry seemed to be the more courageous of the two in previous narrative turns, but in the most recent one, the user’s choice resulted in Harry becoming more deferential to Luna. 3) In the most recent narrative turn, the noise that had been emanating from the forest was now accompanied by a flickering light. I then suggested paths that would allow for character development through dialogue between Harry and Luna (I gave two options here), a path to move the story forward by having Harry take Luna’s hand before running into the forest, and another path that would slow the pace by having Luna investigate the flickering light accompanying the sound. The user’s choice: ‘Have Luna investigate the flickering light.’
3) Add an RNG weighted by story length or whatever works for you that will result in choices that lead the story to a conclusion. Include that direction in the tool call for generating choices, along with a countdown to the finale choice.
This is a rough mental sketch of what worked the best for me, i purposefully left out implementation or application details, as I don’t know what you’re wanting to do next.
Good luck, looks great!
At this moment I would not trust AI to automatically make changes.
Exercise vigilance regarding copycat or coat-tailing sites that seek to exploit the project's popularity for potentially malicious purposes. It is imperative to rely solely on information from https://Helper-Scripts.com/ or https://tteck.github.io/Proxmox/ for accurate and trustworthy content.
1) https://caniuse.com/viewport-units, https://drafts.csswg.org/css-values/#viewport-relative-lengt... (includes dynamic and inline/block lengths)
2) https://caniuse.com/css-container-query-units, https://www.w3.org/TR/css-contain-3/#container-lengths
But I guess your general point is still accurate; you can repeatedly break laws as long as your privacy policy says so. (no AG is going to put you in jail or something to _physically_ stop you).
Our TVs (2020-era Vizio and 2018-era Samsung) are on a separate VLAN for home automation control, and are otherwise blocked from the internet¹. Additionally, they have the various "content intelligence" features disabled...just in case.
We also have a few Nest devices (the 1st gen wired Hello doorbell cam, The Nest/Yale deadbolt, a 2nd gen thermostat, and some Nest Protects) that are normally similarly segmented, though the Hello is allowed to communicate to the necessary domains for video streaming and PubSub notifications.
On August 1, while on a neighborhood walk without any electronic devices, we formulated the plan: every day, we'd find a reason to discuss mulch² in the presence of various devices in our home. What color of mulch we think would look best around various trees. The virtues of recycled rubber as a mulch substitute. The drainage issues it causes. And so on.
We committed to never searching for mulch online (to hide from the ever-present surveillance online), never discussing it with anyone (to avoid social network effects), never buying it (no data broker can hoover up mulch purchases), not dwelling on any social media post about mulch (analytics, man, it's crazy what that bit of metadata can do)...not even hanging around the garden department of local stores (gotta avoid bluetooth/BLE/wifi tracking).
But I DID disable the DNS blocklists (much to our browsing frustration). And while the smart home stuff remained on its own VLAN, I allowed it otherwise unfettered access to the internet during the month of August.
Since the experiment began, we've seen the net sum of zero (0) targeted ads about mulch. No banners, no interstitial social media posts, no phone calls, no flyers in the mailbox. Nothing.
I really don't believe that our devices are eavesdropping on us, but in the interest of science, the experiment continues for another month.³
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1) Yes, I recognize that Sidewalk/ethernet-over-HDMI/hard-coded DNS/etc is a purported "thing", but I don't believe it's likely. I'm controlling for this during the month of September by re-enabling the filtering mentioned at the start; if our TVs are committed to exfiltrating surveillance data.
2) We've not really been discussing mulch. I'm using that as a proxy here, because all of the internet is a series of tubes that lead to advertising networks. But we did choose a unique topic of conversation that would be relevant to our demographics, geographical location, and season, and meaningful to advertisers.
3) On September 1, I re-enabled all the blocklists and VLAN network filters/blackholes. But we continue to discuss, er, mulch. Like I said, if our stuff really really wants to phone the mothership to have Big Mulch pay us a visit, there are supposed to be ways for them to do that. Right?
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EDIT: The topic we chose is also something that's not typically discussed in our social network, nor our kids' social networks. I will say that it's related to a profitable market, and we're in the target demographic, but we did our best to identify a market that we didn't have in common with our social groups.