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Mystery AI Hype Theater 3000, Episode 44: OpenAI's Ridiculous 'Reasoning'
The company behind ChatGPT is back with bombastic claim that their new o1 model is capable of so-called "complex reasoning." Ever-faithful, Alex and Emily tear it apart. Plus the flaws in a tech publication's new 'AI hype index,' and some palette-cleansing new regulation against data-scraping worker surveillance.
References:
OpenAI: Learning to reason with LLMs
- How reasoning works
- GPQA, a 'graduate-level' Q&A benchmark system
Fresh AI Hell:
MIT Technology Review's AI 'AI hype index'
CFPB Takes Action to Curb Unchecked Worker Surveillance
You can check out future streams at http://twitch.tv/dair_institute.
Follow Emily at https://twitter.com/EmilyMBender and https://dair-community.social/@EmilyMBender
Follow Alex at https://twitter.com/alexhanna and https://dair-community.social/@alex
Music: Toby Menon.
Production: Christie Taylor.
Graphic Design: Naomi Pleasure-Park.
Introducing: The AI Hype Index
Everything you need to know about the state of AI.The Editors (MIT Technology Review)
The Dawn of the AI-Military Complex
source: https://goodinternet.substack.com/p/the-dawn-of-the-ai-military-complex
Two weeks ago, #OpenAI deleted it's ban on using #ChatGPT for "Military and Warfare" and revealed, that it's working with the military on "cybersecurity tools". It's clear to me that the darlings of generative AI want in on the wargames, and i'm very confident they are not the only ones. With ever more international conflicts turning hot, from Israels war on Hamas after the massacre on 7th october to Russias invasion of Ukraine to local conflicts like the Houthis attacking US trade ships with drones and the US retaliating, plus the competetive pressure from China, who surely have their own versions of AI-powered automated weapon systems in place, i absolutely think that automatic war pipelines are in high demand from many many international players with very very deep pockets, and #SiliconValley seems more than eager to exploit.
#wargame #war #terror #military #ai #news #complex #politics #economy #conflict
We’re over a year into this cycle of AI hype, but how does the real impact of the technology compare to what tech CEOs have spent all their time warning us about?
On #TechWontSaveUs, I spoke to @timnitGebru about how they distracted us from the real problems with AI to shape regulation and serve themselves.
https://techwontsave.us/episode/203_ai_hype_distracted_us_from_real_problems_w_timnit_gebru
![Timnit Gebru: "They want us to think they're creating some magical being that can solve the world's problems if we just let them do their thing. They want to keep us [focused] on that discourse so we're not looking at the actual practices they're engaging in."](https://files.mastodon.online/media_attachments/files/111/777/604/154/090/554/original/0314754ced82d340.png "Timnit Gebru: \"They want us to think they're creating some magical being that can solve the world's problems if we just let them do their thing. They want to keep us [focused] on that discourse so we're not looking at the actual practices they're engaging in.\"")
AI Hype Distracted Us From Real Problems w/ Timnit Gebru - Tech Won’t Save Us
A left-wing podcast for better technology and a better world.Tech Won't Save Us
Hi there, if you don’t want me to hit you, please carry this sign that says “please don’t hit me” with you always. Otherwise, I can’t possibly be held responsible if I hit you. Because it’s in my nature to hit you. I can’t live without hitting people. It’s just who I am and what I do. Thank you for your understanding in this delicate matter.
Sincerely,
OpenAI
OpenAI threatening to leave the EU if they pass legislation requiring them to list their data sources because:
"In addition to the possible business threat, forcing OpenAI to identify its use of copyrighted data would expose the company to potential lawsuits. Generative AI systems like ChatGPT and DALL-E are trained using large amounts of data scraped from the web, much of it copyright protected. When companies disclose these data sources it leaves them open to legal challenges."
Like every other boom tech company, it's just doing labor crimes and theft and claiming you're actually too innovative to be regulated, God.
#OpenAI #ArtTheft
OpenAI says it could ‘cease operating’ in the EU if it can’t comply with future regulation
OpenAI CEO Sam Altman has warned that the company could pull its services from the EU if it finds upcoming regulations too onerous. The EU AI Act is currently being finalized by lawmakers and should become law next year.James Vincent (The Verge)
Dostęp do GPT od OpenAI przez API
#ai #api #chatgpt #curl #deepl #futurepedia #gpt #gpt35turbo #gpt4 #llm #max_tokens #openai #php #promptengineer #temperature #tlumacz #tlumaczenie #token #translate #translator
Autor: @to3k@tomaszdunia.pl
https://blog.tomaszdunia.pl/gpt-api/
Dostęp do GPT od OpenAI przez API
🇬🇧 Go to english version of this post / Przejdź do angielskiej wersji tego wpisu ChatGPT jest ostatnio na ustach wszystkich. Wychodzi nam niemalże nawet z lodówki. W sieci, telewizji i radiu ciągle…Tomasz Dunia Blog
Wiem, że niektórzy mogą mieć już trochę dosyć tego tematu, ale obiecuję, że w tym wpisie nie będzie pitolenia na zasadzie, czy GPT jest emejzing, a bardziej techniczne podejście jak tego używać w sposób bardziej Pro
https://www.pcmag.com/news/openai-confirms-leak-of-chatgpt-conversation-histories
Can you guess who or what does Sam Altman from #OpenAI blame for it?
"A bug in an open source library."
Yup. #FLOSS is great for #OpenAI as a way to build on somebody else's code, and as a way to train their models on somebody else's code. But as soon as shit hits the fan, it *will* get thrown under the bus.
Wanna *bet* it's not an #AGPL library? SV hypercapitalists keep away from those!
#FOSS #InfoSec
OpenAI Confirms Leak of ChatGPT Conversation Histories
OpenAI CEO Sam Altman blames the exposure on 'a bug in an open source library.' A patch has been released, but the chat history sidebar remains inaccessible.Michael Kan (PCMag)
![Screencap: "When we rely on ever larger datasets we risk incurring documentation debt, 18 i.e. putting ourselves in a situation where the datasets are both undocumented and too large to document post hoc. While documentation allows for potential accountability [13, 52, 86], undocumented training data perpetuates harm without recourse. Without documentation, one cannot try to understand training data characteristics in order to mitigate some of these attested issues or even unknown ones. The solution, we propose, is to budget for" and footnote 18 "On the notion of documentation debt as applied to code, rather than data, see [154]."](https://cdn.masto.host/daircommunitysocial/media_attachments/files/110/067/706/634/894/053/original/6c6969c1be15c411.png "Screencap: \"When we rely on ever larger datasets we risk incurring documentation debt, 18 i.e. putting ourselves in a situation where the datasets are both undocumented and too large to document post hoc. While documentation allows for potential accountability [13, 52, 86], undocumented training data perpetuates harm without recourse. Without documentation, one cannot try to understand training data characteristics in order to mitigate some of these attested issues or even unknown ones. The solution, we propose, is to budget for\" and footnote 18 \"On the notion of documentation debt as applied to code, rather than data, see [154].\"")
![Screencap "As a part of careful data collection practices, researchers must adopt frameworks such as [13, 52, 86] to describe the uses for which their models are suited and benchmark evaluations for a variety of conditions. This involves providing thorough documentation on the data used in model building, including the motivations underlying data selection and collection processes. This documentation should reflect and indicate researchers’ goals, values, and motivations in assembling data and creating a given model. It should also make note of potential users and stakeholders, particularly those that stand to be negatively impacted by model errors or misuse. We note that just because a model might have many different applications doesn’t mean that its developers don’t need to consider stakeholders. An exploration of stakeholders for likely use cases can still be informative around potential risks, even when there is no way to guarantee that all use cases can be explored." 2nd-4th sentences highlighted in blue.](https://cdn.masto.host/daircommunitysocial/media_attachments/files/110/067/719/287/396/201/original/8014264a9bfb0028.png "Screencap \"As a part of careful data collection practices, researchers must adopt frameworks such as [13, 52, 86] to describe the uses for which their models are suited and benchmark evaluations for a variety of conditions. This involves providing thorough documentation on the data used in model building, including the motivations underlying data selection and collection processes. This documentation should reflect and indicate researchers’ goals, values, and motivations in assembling data and creating a given model. It should also make note of potential users and stakeholders, particularly those that stand to be negatively impacted by model errors or misuse. We note that just because a model might have many different applications doesn’t mean that its developers don’t need to consider stakeholders. An exploration of stakeholders for likely use cases can still be informative around potential risks, even when there is no way to guarantee that all use cases can be explored.\" 2nd-4th sentences highlighted in blue.")
Don't. Opt out. Study something else.
GPT-4 should be assumed to be toxic trash until and unless #OpenAI is *open* about its training data, model architecture, etc.
I rather suspect that if we ever get that info, we will see that it is toxic trash. But in the meantime, without the info, we should just assume that it is.
To do otherwise is to be credulous, to serve corporate interests, and to set terrible precedent.
https://techcrunch.com/2023/03/14/with-evals-openai-hopes-to-crowdsource-ai-model-testing/
*ANY* chatbots main job is to harvest data & behaviours from humans using them to improve all aspects of their own back end systems.
#OpenAI ToS/EULA “OK” = Liability to User
115 days and #ChatGPT will be in MS-Office within weeks?
WTF?
#AI = savage & lawless land
#VC’s❤️
ALL #media dopamine addled or captured or troll army pumping #AI for #Musk #Theil
Who’s looking behind curtain? 🧐
