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mercer

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mercerclarkson@gmail.com

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taibbi.substack.com 5y ago

Just How Rigged Is the “Rigged Game”?

mercer
1pts0
dockyard.com 5y ago

Elixir Is Safe

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3pts0
medium.com 5y ago

My story of working with Governor Cuomo

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8pts3
news.ycombinator.com 6y ago

Ask HN: Anyone else bothered by Gmail's “Changes may not be saved” popup?

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3pts2
www.viva64.com 6y ago

The Last Line Effect (2014)

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2pts0
dev.lemmy.ml 6y ago

DuckDuckGo's privacy abuses – current, historic, and by proxy

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20pts16
news.ycombinator.com 6y ago

Ask HN: I love programming, but I want to learn *everything* about my van. Tips?

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2pts3
www.bbc.co.uk 6y ago

Bank of England 'ready to act' as economy shrinks record 20%

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1pts0
thecorrespondent.com 6y ago

The neoliberal era is ending. What comes next? – The Correspondent

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5pts0
www.sciencealert.com 6y ago

Sorry, but Giving Up on Meat Is Not Going to Save the Planet (2018)

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3pts1
bigthink.com 6y ago

Mysterious radiation leak traced to Russian facility

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6pts1
vimeo.com 7y ago

No Way Out but Through: Tales from the Tech Resistance (Maciej Ceglowski)

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3pts0
blog.xkcd.com 7y ago

ROBOT9000 and Xkcd-Signal: Attacking Noise in Chat

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2pts0
blog.plataformatec.com.br 7y ago

What's New in Elixir – Apr/19

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6pts0
fabiensanglard.net 7y ago

Floating Point Visually Explained (2017)

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206pts17
www.buzzfeednews.com 7y ago

I’ve Been Committed to a Psych Ward Three Times – And It Never Helped

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2pts0
codeburst.io 7y ago

Why goroutines are not lightweight threads?

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3pts0
blog.plataformatec.com.br 7y ago

Plataformatec and Elixir: 2018 in review

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3pts0
blogs.msdn.microsoft.com 7y ago

Mac Word 6.0 (2004)

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3pts0
medium.com 7y ago

The Flawed History of Graphical User Interfaces – Member Feature Stories

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2pts0
medium.com 7y ago

How I hacked hundreds of companies through their helpdesk (2017)

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166pts18
shift.newco.co 7y ago

Lost Context: How Did We End Up Here?

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2pts0
www.destroyallsoftware.com 7y ago

Boundaries (2012)

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1pts0
www.filfre.net 7y ago

The Hobbit – The Digital Antiquarian (2012)

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1pts0
hnprofile.com 7y ago

HN Profile – Find an Expert on Hacker News

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2pts0
aeon.co 7y ago

Autism from the inside

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2pts0
en.wikipedia.org 8y ago

Pamphlet Wars

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2pts0
jsomers.net 8y ago

E Unibus Pluram: Television and U.S. Fiction [pdf]

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1pts0
moxie.org 8y ago

A Saudi Arabia Telecom's Surveillance Pitch (2013)

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1pts0
www.newstatesman.com 8y ago

All machine and no ghost? (2012)

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2pts0
Mistral OCR 4 28 days ago

sadly, over here in the netherlands and I assume elsewhere, the job as a postman changed drastically when they privatized. room for the human element has been all but squeezed out for profits long ago.

People can finally put a name on an unease that's been growing inside them for a while now.

I've had some interesting conversations about the pre-AI slop and how the distinction is often not too meaningful. I mean, on some level /knowing/ that the corporate slop was written by a person kind of loses its meaning when one considers the amount of filtering, rules, rewriting, and so on is involved by a string of people who either don't care about what they write or actively dislike it.

A lot of this stuff often had at least flickers of a human soul behind it. I imagine for a lot of the soaps, hallmark movies, and romance novels this might've made some difference, even if just subconsciously recognizing the author(s) and building up some kind of image around the other by yourself or with others.

I'm reminded of some of the truly awful 'worship' songs I grew up with, and how some of the authors (often of course sticking close to the source material) even had a kind of following. some of these songs were just a little 'too' predictable, but others felt pretty much like they were written by AI, except back then none of us imagined that AI could really do this back then.

Or the pastor I spoke to who was convinced that chatgpt had access to his more personal notes, because as an experiment he made it write a sermon, and it (probably? obviously?) extrapolated from the prompt the more specific theology he followed/ascribed to.

I'm not knocking the value of a sermon or song, even if boring and predictable, or perhaps even when AI-written. they often explicitly /don't/ serve the purpose of being novel or new, but I find it super interesting how these aspects of real life are, to a degree, not too hard to replace with AI.

Thankfully for this pastor, most of his value involved human connection, knowing whoever just married, died, got sick, and having his full humanity on display from the pulpit!

I'd say I'm pretty attuned to detecting AI content and I was fooled a few times at inattentive moments. I imagine a lot of people fare worse, assuming they even truly mind whether it's AI or not.

A lifetime is not that long though, and I'd argue that TV was the start of a chapter that internet, iphones, etc. are just ever-increasingly addictive and immediate iterations on.

I'm not saying that we didn't have anything like that before tv, or that specific individuals or groups throughout history might not have had something similar, but I do feel TV, and especially its audio-visual nature, really changed something in a way that, say, the printing press never quite did.

EDIT: and to add, my feeling on how many people seem to use LLM's is that in a way it's extra insidious because it's /tailored/, often 'puerile' interaction.

Hotmail is a good example too. I remember it being pretty ubiquitous, at least for the 'personal email' crowd, and it seemed implausible that people would give up on what was often their main email 'location' for another offering without being able to transfer their often important and personal stuff. then gmail came along.

Do the big updates to Elixir's type system help at all? afaik the most recent update added a huge amount of coverage that should extend to older code automatically.

in some ways Elixir is a child of Clojure!

JOSE: Yeah, so what happened is that it was the old concurrency story in which the Clojure audience is going to be really, really familiar. I’ve learned a lot also from Clojure because, at the time I was thinking about Elixir, Clojure was already around. I like to say it’s one of the top three influences in Elixir, but anyway it tells this whole story about concurrency, right?

https://www.cognitect.com/cognicast/120

wouldn't that still add a lot of value, where the person in the loop (sadly, usually) becomes little more than the verifier, but can process a lot more work?

Anecdotally what I'm hearing is that this is pretty much how LLMs are helping programmers get more done, including the work being less enjoyable because it involves more verification and rubber-stamping.

For the business owner, it doesn't matter that the nature of the work has changed, as long as that one person can get more work done. Even worse, the business owner probably doesn't care as much about the quality of the resulting work, as long as it works.

I'm reminded of how much of my work has involved implementing solutions that took less careful thought, where even when I outlined the drawbacks, the owner wanted it done the quick way. And if the problems arose, often quite a bit later, it was as if they hadn't made that initial decision in the first place.

For my personal tinkering, I've all but defaulted to the LLMs returning suggested actions at logical points in the workflow, leaving me to confirm or cancel whatever it came up with. this definitely still makes the process faster, just not as magically automatic.

Also don't forget the 'memory' feature. As LLM providers get better at tailoring the LLM to the user, and probably obfuscating the details on how this user-specific memory works, it will be harder to switch to another provider.

I get the impression after using language models for quite a while that perhaps the one thing that is riskiest to anthropomorphise is the conversational UI that has become the default for many people.

A lot of the issues I'd have when 'pretending' to have a conversation are much less so when I either keep things to a single Q/A pairing, or at the very least heavily edit/prune the conversation history. Based on my understanding of LLM's, this seems to make sense even for the models that are trained for conversational interfaces.

so, for example, an exchange with multiple messages, where at the end I ask the LLM to double-check the conversation and correct 'hallucinations', is less optimal than something like asking for a thorough summary at the end, and then feeding that into a new prompt/conversation, as the repetition of these falsities, or 'building' on them with subsequent messages, is more likely to make them a stronger 'presence' and as a result perhaps affect the corrections.

I haven't tested any of this thoroughly, but at least with code I've definitely noticed how a wrong piece of code can 'infect' the conversation.

Interesting. I'd be mortified if things happened that way here, because I regularly forget to bleep items, and have quite a few time been checked in those cases. the only consequence was some embarrassment and the need to allow the employee to re-check every item. usually they were even apologetic about it.