mistersquid
Wish I could delete.
Such a great film, too.
May I ask to where you migrated?
Apple Should Be Embarrassed: Half-Life: Alyx on Apple Vision Pro [video]
Mary Helen Branswell, Reporter Who Saw Covid Coming, Has Died
Makes me think of the old times when academia tried capturing state of the cybernetic art (even) to the extent of issuing a dead-tree tome about "Flame Wars" [0]
Do you have a link to this 1-minute video?
(a little later…) I think I found it : https://www.youtube.com/watch?v=fJnNkfHLdFw
For the first experiment, Claude stepped me through how to edit its settings.json to remove warnings from its configuration: a little clunky as I had to respond to Claude's CLI prompts to get it to auto run.
In the second experiment, Claude walked me through how to use Apple's Compressor.app to speed up a video. It walked me through dragging the file into compressor and clicking on the appropriate UI elements to do this.
So, one use case for the bigarrow skill enables Claude to step users through a relatively complex UI to accomplish a task.
There are likely more efficient ways to accomplish the tasks at hand (e.g. ffmpeg for the second experiment), but this use case is interesting if using a GUI tool is required.
Margaret Hamilton, Whose Software Guided the Apollo Missions, Has Died
Fort Hood Shooter's Execution Will Be Public and Streamed Live, Pentagon Says
Man vs. 'Terminator'-Like Robot in a Cage. California Called It Illegal
Changing my mind about AI risk – Francis Fukuyama [video]
Cat Frazier, Whose Retro GIFs Celebrated a Weirder Internet, Dies at 35
The Examined Life in the Age of Optimisation
Dopamine Sites Sell Nothing, and People Cannot Get Enough
This critique (if it can be termed such) admits that the code itself has little value especially compared to the work of “30 minutes of patient, old school troubleshooting”.
In my past experience, developers who critique more-junior colleagues in this way work better in isolation than as part of a team because working as part of a team would require mentoring colleagues through the often difficult process of troubleshooting.
Giving “the team an exact solution on a silver platter” may not be helpful if implementation depends on knowledge withheld because one does not have the resources, ability, or motivation to mentor.
Something about giving a fish rather than teaching to fish comes to mind.
Humanoid robots clean a house in San Francisco for $30 an hour [video]
Does it stack up to Apple Polishing Cloth 1 though? [0][1]
> [UGC styled humorously as LLMisms]
All joking aside, having interacted with Claude intensely for the last 8 months and about 30 hours/week in the last 3, I’ve started to notice how (for want of a better word) “readable” (“digestible” ? “comprehensible” ? “Predictable” is the wrong direction.) information chunked into LLM-shaped pieces are for me.
I can digest LLM-shaped pieces of data very easily probably because I’ve been spending too much time with Claude, sure.
But the other side of this is that the entire human species (using LLMs) is similarly being trained to digest interrelated pieces of information/data in these specific shapes, akin to how philosophical assertions can be formulated as a syllogism and, thus, become more readily understood because of familiar epistemological cadence and shape.
Many people reject such copy/prose/data because they detect AI-generated-so-not-worth-human-attention, but I do wonder if this is preparing many millions of loosely (and tightly) associated humans and their organizations to quickly exchange and digest information.
This is not to say current LLMisms are the end, only that such detectable patterns in information delivery will make comprehension and communication more efficient (as well as more limited precisely because of such structure).
/philosophical musings about the epistemological implications of LLM-shaped conversation tics
Metaphorical language, of which French is a rich source, often prevents native speakers from understanding. Literal translations are of no avail.
> avant la lettre : before the letter : before the (specified) word or concept existed [0]
[0] https://www.merriam-webster.com/dictionary/avant%20la%20lett...
Was it bad or scandalous, or did you mean “renown” instead of “notoriety”?
Given he had family, one remedy would have been to establish a guardianship/conservatorship on the basis of mental/financial incompetence.
That is, users with M-series hardware that have less-than-max RAM share results whereas users with max RAM do not.
Speculating (not extrapolating), maybe users with machine that have max RAM are less interested in running local LLMs and are less averse to paying services for compute?
Personally, I’d love to see what output max RAM M-series Apple hardware in these threads.
> > I was floored. Still am.
> Why?
My personal computer is how I learned to be a software developer and how I continue to improve as one. So, it astonishes me that a software developer by trade doesn't own a personal computer.
To help separate my reaction from my personal bias (yeah, not possible), think about how you might feel upon discovering a professional cyclist who did not own a personal bicycle.
In the company where I work (in recent history, the most valuable company on the planet), there are younger employees who do not own personal computers.
One of them was (with different company now) a Gen Z developer who did not personally own a computer (besides a phone).
I was floored. Still am.
Thank you, good luck, and looking forward!
Deciphering error messages can be a bit of an arcane art, at times impenetrable to all except the authors of a system. Understanding the patterns exposed in such messages and, thereby, deriving their meaning is not always clear even to experienced developers.
Engineers reaching out to you (humans) to explain the output of an LLM haven't fully internalized how to interact with LLMs. When an LLM's output is beyond one's immediate grasp, one can _ask the LLM_ to further break down its output, to explain the concepts and symbols that inform its response.
Personally, I have asked LLMs to draw charts and comprehensively simplify their output, often providing cognitive signposts that "I'm confused" about some aspect of what its reporting.
In other words, some people, including engineers with various lavels of experience, don't yet fully understand the implications of the open-eneded interface that language provides with LLM interaction.
Nice callout.
Neither here nor there, but many (most?) fish are carnivorous.