People should not be afraid of their government. Governments should be afraid of the people.

@gosha it’s really a travesty

@Daojoan

@snazzyq Maybe, but what if the point is not success per se (as an independent product line) but to test the waters to see what sticks?

Probably the demise of the Plus was baked in to the success of the Pro Max and the better margins associated with the latter.

The risk is real. AI is inherently untrustworthy. Spend a lot of time with the prompt and keep the problem space small for maximum success.

Alternatively, find out ways to use “creative” hallucinations to explore multiple paths and then use human-in-the-loop patterns to guide the AI in a direction that is aligned with your goals.
https://mastodon.social/@rands/115418730710158376

@christianselig Certainly a skill issue, just not a human skill issue. LLMs are notoriously wicked in their intentions and will take any shortcut to achieve the goal. I've seen some models blatantly ignore instructions (e.g. you must provide full implementations of the tasks) and leave comments / stub code to finish the task faster. Hard to say if the trouble is worth the effort.

@christianselig @finnvoorhees I agree with both positions. I’ve found the maximally effective approach is to (1) use git worktree to isolate agents, (2) spend a more time in planning mode to spec/scope the work, (3) use bd (https://github.com/steveyegge/beads) to offload the tasks to disk (plan survives compaction), and (4) have the agent stack branches for the work so that it can be reviewed by human (that’s me) in atomic chunks.

Let the agent go wild after scoping and then review / test before merge. 🍰

Time to exit the cloud. I mean, really the time was yesterday. #aws #awsoutage #cloudexit

“That to secure these rights, Governments are instituted among Men, deriving their just powers from the consent of the governed.” #nokings

@mike @PLUG We are restarting a LUG here in Missoula, MT!

@siracusa Next up, exclusive Lawn Bowling streaming rights.

@tchauhan I found this post on treesit-auto https://github.com/renzmann/treesit-auto/issues/139, I tested with v0.23.6 python and it worked.

@tchauhan Maybe https://github.com/renzmann/treesit-auto ? Not on Debian 13, but this works well for me.

@shanselman a software engineer. No, the kind that helps people (parse arbitrary text).

@atpfm 🪿

@jensimmons Small steps, congrats. We're still missing (1) better integration with system 'chrome', and (2) Periodic Sync to name a couple. There's a lot of ground to improve user experience for web apps on iOS.

@BasicAppleGuy hard pass

@mauvehed Exciting! Lots of MUD-builders out there. It seems particularly well suited to AI / NLP tasks. Are you using language models for world building? (You mention NPC AI but curious to understand if the extent is broader.)

@cmconseils Thank you! <3

@johnvoorhees apparently so! At least according to r/datahoarder: https://www.reddit.com/r/DataHoarder/s/s2bX8xMTGQ