unixorn, to LLMs
@unixorn@hachyderm.io avatar

Great post about hallucinating safety information. Specifically MSDS (Material Safety Data Sheet), but applies to any other safety information.

https://www.funraniumlabs.com/2024/04/phil-vs-llms/

I would much rather get a "no results" when I'm looking for medical interactions than an helpfully telling me "Here's some bullshit you don't know enough to know is horribly wrong"

Even something as innocent as acetaminophen can destroy your liver if you overdose on it.

@llm @ai

alatitude77, to Discord
@alatitude77@mastodon.social avatar
cassidy, to ai
@cassidy@blaede.family avatar

Facebook’s “AI” is responding to posts pretending to be human; in this case claiming to have a gifted and disabled child who attends a NYC school.

How many other accounts are actually large language models masquerading as people? This seems incredibly irresponsible—and is a great reminder that “AI” is machines mindlessly regurgitating things from elsewhere on the Internet.

AI is not sustainable.

https://www.404media.co/facebooks-ai-told-parents-group-it-has-a-disabled-child/

Via @jasonkoebler for @404mediaco

rcarmo, to ai
@rcarmo@mastodon.social avatar

and have transformed computing indeed: we moved from a completely deterministic approach to telling computers what to do to one where we mumble various spells and incantations and hope they achieve something.

Truly a wonder of our age.

daniel_js_craft, to LLMs
@daniel_js_craft@mastodon.social avatar

Google Gemini aims for a 10 mil tokens context. It's so large that you can put books, docs, videos. They all fit in this context size. Will this replace RAG?

Don't think so because:
-💸 money; you still pay per token
-🐢 slow response time
-🐞 a huge context is hard to debug

remixtures, to ai Portuguese
@remixtures@tldr.nettime.org avatar

#AI #GenerativeAI #LLMs #PromptEngineering #TechnicalWriting #SoftwareDocumentation #Productivity: "Many tech writers have a constant fear that AI will take our jobs. I often think, what I’m doing isn’t rocket science. Any person with some education can do it. And yet, just as engineers struggle to write, tech writers frequently struggle with AI tools. They don’t understand how to use them effectively. Even though “prompt engineering” is often a ridiculed term online, again and again I hear feedback from TWs about AI not being useful to them, or they simply don’t have interest in AI, as if it’s irrelevant to their work. This blows me away. When I can ramp up on a product in an hour and write a user guide in a couple of days, and code a doc publishing script that automates even more tasks, how can AI not be useful? How can it not be essential?

An often repeated saying is that AI tools won’t replace us, we’ll be replaced by those who know how to use AI tools. I feel like this is more and more true. Consider this scenario: You hire a roofer to install a new roof, which mainly involves removing the old shingles and installing new ones. One roofer arrives with a hammer. It will take this roofer 2 weeks to do the job. Another roofer arrives with a pneumatic roofing nailer power tool. It will take this roofer 3 days to do the job. The cost of the first roofer is 4 times that of the second. The output is pretty much the same. Which roofer do you hire?

It’s the same with tech writers. Suppose you have a large project. One tech writer can create the documentation using AI tools in a quarter of the time, while the other will take 75% longer. Which tech writer do you hire?

Fortunately, I think tech writers can learn how to use AI tools as power tools. Especially with more awareness and knowledge about effective prompting techniques, tech writers can become much more productive using AI." https://idratherbewriting.com/blog/ai-is-accelerating-me

kellogh, to opensource
@kellogh@hachyderm.io avatar

WizardLM2 8x22B exceeds performance of GPT4 in some benchmarks

  • Apache2 👍
  • progressive learning instead of all-at-once means less power-hungry and more data efficient during training
  • Co-Teaching and Self-Teaching are intriguing, I want to hear more
  • from Microsoft , I imagine GPT5 must be nigh, if they’re releasing competition for GPT4

https://wizardlm.github.io/WizardLM2/

kellogh, to LLMs
@kellogh@hachyderm.io avatar

teaching how to program in python with

its a good study. Definitely some drawbacks, but also seems like a good idea overall

https://austinhenley.com/blog/learningwithai.html

kellogh, to LLMs
@kellogh@hachyderm.io avatar

imagine a construction company that put out a statement, “we’re going to stop using power tools because there’s a lot of workplace injuries”. That would be crazy. Sure, i get that with a circular saw, it LOOKS like you just have to pull a trigger, but there’s actually a bit more to using it safely. You train your workers

metin, to ai
@metin@graphics.social avatar

When generative AI is trained with AI-generated data, it becomes degenerat(iv)e AI.

Norobiik, to generativeAI
@Norobiik@noc.social avatar

In other words, the current tech is a dead end.

He pointed to a quartet of cognitive challenges: , , , and understanding the .

“Those are four essential characteristics of human intelligence — also animal intelligence, for that matter — that current systems can’t do,” he said.

Meta's AI chief: will never reach human-level intelligence
https://thenextweb.com/news/meta-yann-lecun-ai-behind-human-intelligence

remixtures, to ai Portuguese
@remixtures@tldr.nettime.org avatar

: "Recently, Bonaventure Dossou learned of an alarming tendency in a popular AI model. The program described Fon—a language spoken by Dossou’s mother and millions of others in Benin and neighboring countries—as “a fictional language.”

This result, which I replicated, is not unusual. Dossou is accustomed to the feeling that his culture is unseen by technology that so easily serves other people. He grew up with no Wikipedia pages in Fon, and no translation programs to help him communicate with his mother in French, in which he is more fluent. “When we have a technology that treats something as simple and fundamental as our name as an error, it robs us of our personhood,” Dossou told me.

The rise of the internet, alongside decades of American hegemony, made English into a common tongue for business, politics, science, and entertainment. More than half of all websites are in English, yet more than 80 percent of people in the world don’t speak the language. Even basic aspects of digital life—searching with Google, talking to Siri, relying on autocorrect, simply typing on a smartphone—have long been closed off to much of the world. And now the generative-AI boom, despite promises to bridge languages and cultures, may only further entrench the dominance of English in life on and off the web."

https://www.theatlantic.com/technology/archive/2024/04/generative-ai-low-resource-languages/678042/

ppatel, to ai
@ppatel@mstdn.social avatar

The consistent theme here is that they all want little regulation. They don't want the others to be entrenched.

A profile of Mistral AI CEO Arthur Mensch, who says, as an atheist, he is uncomfortable with Silicon Valley's #"AGI rhetoric" and "religious" fascination with .

https://www.nytimes.com/2024/04/12/business/artificial-intelligence-mistral-france-europe.html?unlocked_article_code=1.j00.G8zX.lqukAsOFhspc&smid=nytcore-ios-share&referringSource=articleShare&ugrp=c

CharlieMcHenry, to ai
@CharlieMcHenry@connectop.us avatar

Bill introduced to require companies to list what copyrighted materials they use for training purposes.

https://www.engadget.com/us-bill-proposes-ai-companies-list-what-copyrighted-materials-they-use-123058589.html

algorights, to LLMs Spanish
@algorights@mastodon.social avatar

«Large language models can do jaw-dropping things. But nobody knows exactly why. And that's a problem. Figuring it out is one of the biggest scientific puzzles of our time and a crucial step towards controlling more powerful future models».
https://www.technologyreview.com/2024/03/04/1089403/large-language-models-amazing-but-nobody-knows-why/

hendrik, to LLMs

Have people tried to link the output of to devices that take actions in the real world? What if one creates a way for an to make pull requests on or ? The could spend day and night browsing through to improve them. That would be as much exciting as creepy!

ppatel, to ai
@ppatel@mstdn.social avatar

Google touting that its latest models and services can be grounded through its search results isn't the boast it thinks it is, especially considering the quality of its results lately. Has anybody considered the feedback loop of AI results being ranked hire and then being used to ground Gemini Pro?

jchyip, to LLMs
@jchyip@mastodon.online avatar
johnpettigrew, to ai
@johnpettigrew@wandering.shop avatar

This article contains one crucial line that basically undercuts the entire rest of what Pat Gelsinger of Intel is saying:

"Many clients are telling me it is really hard to realize value from their AI investments," Guan told Gelsinger on stage.

In other words, despite all the hype, no-one is actually making money from LLMs (except the consultants). It's a bubble. All the excited keynote presentations in the world can't disguise that.
https://www.theregister.com/2024/04/10/intel_ceo_ai_automation/

metin, (edited ) to ai
@metin@graphics.social avatar

Whenever I see OpenAI's Sam Altman with his pseudo-innocent glance, he always reminds me of Carter Burke from Aliens (1986), who deceived the entire spaceship crew in favor of his corporation, with the aim of getting rich by weaponizing a newly discovered intelligent lifeform.

hendrik, to LLMs

are the ultimate answer to the internet created: they avoid ads, ignore superfluous information of cooking recipe websites, and create a layer of privacy between you and the . Well, at least as long as you can trust the provider of the LLM...

Content providers will feel that this hurts their pocket. It essentially gives everyone on the internet an ad blocker and this may lead to more paywalls. Will providers start to buy information from these content providers? Or will they sell opportunities to place information?

Sevoris, to LLMs

Two articles I saved about a year ago, maybe worth reflecting now when it comes to what can achieve and cannot achieve, have achieved and been used for in the past year, and how the applications scape has been developing:

https://www.semianalysis.com/p/google-we-have-no-moat-and-neither

https://skventures.substack.com/p/ai-mass-evolution-and-weickian-loops

ppatel, to ai
@ppatel@mstdn.social avatar

Move over, deep learning: Symbolica’s structured approach could transform

Artificial intelligence startup Symbolica emerged from stealth today and unveiled a novel approach to constructing AI models, leveraging advanced mathematics to imbue systems with human-like reasoning capabilities and unprecedented transparency.

https://venturebeat.com/ai/move-over-deep-learning-symbolicas-structured-approach-could-transform-ai/

ppatel, to accessibility
@ppatel@mstdn.social avatar

I posted an early discussion of this earlier. But Apple's work on this could make shortcuts work so much better and work faster and more accurate.

Ferret-UI: Grounded Mobile UI Understanding with Multimodal

https://arxiv.org/abs/2404.05719

joelanman, to ai
@joelanman@hachyderm.io avatar

OLMo - claims to be a fully open LLM including training data

https://blog.allenai.org/hello-olmo-a-truly-open-llm-43f7e7359222

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