#AI#GenerativeAI#OpenAI#BigTech: "When it comes to AI, the best defence is not to simply wrap ourselves in a protective legislative cocoon and demand another tough new law to preempt or repel every risk or act of harm.
Rather, it is about determining who has the power.
If we are going to embrace AI, let’s do so as active participants, not passive subjects. Let’s embed the notion of shared benefits with strong industrial guardrails. Let’s get AI out of the IT department and onto the shop floor. And let’s demand those driving the introduction of this technology do so with us, not to us; shaped by us, not shaping us; augmenting our labour, not automating it.
The lesson of the social media revolution has been that technology is neither innately good nor bad. What seemed like a positive tool to connect people on an open platform has become a threat to our collective wellbeing because of the underlying business model.
Approaching AI with this critical mindset, rather than naively embracing progress as a self-evident good, is the first step.
Thanks to scholars like Acemoglu and Johnson, we now have an economic argument to match the moral one: the adaptation of new technology can make us all richer and happier if we are given the chance to collectively design it and control it."
CAI klärt jetzt auch auf Twitch über Cannabis auf. Er kennt sich mit dem Gesetz aus, kennt Risiken beim Umgang mit THC und informiert über Hanf im Allgemeinen und über verschiedene Sorten. Wusstest du dass CBD-haltiges Cannabis ohne THC keine psychischen Effekte hat, entspannend wirkt und beim einschlafen helfen kann?
With #LLM applications more abundant, have researchers been using them to assist their writing? We know they have when writing peer reviews [1], but how about doing so in writing their published papers?
Liang et al comes back to answer this question in [3]. They applied the same corpus-based methodology proposed in [2] on 950k papers published between 2020 to 2024, and the answer is a resounding YES, esp. in CS (up to 17.5%) (screenshot 1).
I don't think we give Meta, Google and OpenAI enough credit for their AI LLM accomplishments. I mean, who would have imagined we could spend billions of dollars and warmed the planet a few degrees all to teach computers to not be able to do math. It really is an astonishing achievement. #AI#generativeAI
#AI#GenerativeAI#VCs#CashingOut#AIHype#SPVs: "VCs are clamoring to invest in hot AI companies, willing to pay exorbitant share prices for coveted spots on their cap tables. Even so, most aren’t able to get into such deals at all. Yet, small, unknown investors, including family offices and high-net-worth individuals, have found their own way to get shares of the hottest private startups like Anthropic, Groq, OpenAI, Perplexity, and Elon Musk’s X.ai (the makers of Grok).
They are using special purpose vehicles, or SPVs, where multiple parties pool their money to share an allocation of a single company. SPVs are generally formed by investors who have direct access to the shares of these startups and then turn around and sell a part of their allocation to external backers, often charging significant fees while retaining some profit share (known as carry).
While SPVs aren’t new – smaller investors have relied on them for years – there’s a growing trend of SPVs successfully getting shares from the biggest names in AI.
These investors are finding that the most popular AI companies, except OpenAI, are not all that hard for them to buy at their smaller levels of investing."
#AI#GenerativeAI#GeneratedImages#DevianArt#Bots#SocialMedia: "On March 27, a large group of artists and creators from across the web noticed the frightening extent to which a once-beloved, highly influential community platform of theirs had, like so many others, fallen prey to the artificial intelligence juggernauts plundering the internet.
As VFX animator Romain Revert (Minions, The Lorax) pointed out on X, the bots had come for his old home base of DeviantArt. Its social accounts were promoting “top sellers” on the platform, with usernames like “Isaris-AI” and “Mikonotai,” who reportedly made tens of thousands of dollars through bulk sales of autogenerated, dead-eyed 3D avatars. The sales weren’t exactly legit—an online artist known as WyerframeZ looked at those users’ followers and found pages of profiles with repeated names, overlapping biographies and account-creation dates, and zero creations of their own, making it apparent that various bots were involved in these “purchases.”
It’s not unlikely, as WyerframeZ surmised, that someone constructed a low-effort bot network that could hold up a self-perpetuating money-embezzlement scheme: Generate a bunch of free images and accounts, have them buy and boost one another in perpetuity, inflate metrics so that the “art” gets boosted by DeviantArt and reaches real humans, then watch the money pile up from DeviantArt revenue-sharing programs. Rinse, repeat.
After Revert declared this bot-on-bot fest to be “the downfall of DeviantArt,” myriad other artists and longtime users of the platform chimed in to share in the outrage that these artificial accounts were monopolizing DeviantArt’s promotional and revenue apparatuses. Several mentioned that they’d abandoned their DeviantArt accounts—all appearing to prove his dramatic point."
#AI#GenerativeAI#Media#Journalism#News: "The promise of working alongside AI companies is easy to grasp. Publishers will get some money—Thompson would not disclose the financial elements of the partnership—and perhaps even contribute to AI models that are higher-quality or more accurate. Moreover, The Atlantic’s Product team will develop its own AI tools using OpenAI’s technology through a new experimental website called Atlantic Labs. Visitors will have to opt in to using any applications developed there. (Vox is doing something similar through a separate partnership with the company.)
But it’s just as easy to see the potential problems. So far, generative AI has not resulted in a healthier internet. Arguably quite the opposite. Consider that in recent days, Google has aggressively pushed an “AI Overview” tool in its Search product, presenting answers written by generative AI atop the usual list of links. The bot has suggested that users eat rocks or put glue in their pizza sauce when prompted in certain ways. ChatGPT and other OpenAI products may perform better than Google’s, but relying on them is still a gamble. Generative-AI programs are known to “hallucinate.” They operate according to directions in black-box algorithms. And they work by making inferences based on huge data sets containing a mix of high-quality material and utter junk. Imagine a situation in which a chatbot falsely attributes made-up ideas to journalists. Will readers make the effort to check? Who could be harmed?"
AI clones of people are becoming a lot more common and a lot more worrying.
This one was taken down after Ali jumped through a bunch of hoops to prove her identity, but CivitAI currently only removes models if there is a complaint - they have no policy against creating models to impersonate real people.
#AI#GenerativeAI#ContentModeration#LLMs#AIRegulation: "Drawing on the extensive history of study of the terms and conditions (T&C) and privacy policies of social media companies, this paper reports the results of pilot empirical work conducted in January-March 2023, in which T&C were mapped across a representative sample of generative AI providers as well as some downstream deployers. Our study looked at providers of multiple modes of output (text, image, etc), small and large sizes, and varying countries of origin. Although the study looked at terms relating to a wide range of issues including content restrictions and moderation, dispute resolution and consumer liability, the focus here is on copyright and data protection. Our early findings indicate the emergence of a “platformisation paradigm”, in which providers of generative AI attempt to position themselves as neutral intermediaries similarly to search and social media platforms, but without the governance increasingly imposed on these actors, and in contradistinction to their function as content generators rather than mere hosts for third party content. This study concludes that in light of these findings, new laws being drafted to rein in the power of “big tech” must be reconsidered carefully, if the imbalance of power between users and platforms in the social media era, only now being combatted, is not to be repeated via the private ordering of the providers of generative AI."
#AI#GenerativeAI#LLMs#DataCenters#BigTech#Energy#WaterScarcity#FossilFuels#ClimateChange: "Large language models such as ChatGPT are some of the most energy-guzzling technologies of all. Research suggests, for instance, that about 700,000 litres of water could have been used to cool the machines that trained ChatGPT-3 at Microsoft’s data facilities. It is hardly news that the tech bubble’s self-glorification has obscured the uglier sides of this industry, from its proclivity for tax avoidance to its invasion of privacy and exploitation of our attention span. The industry’s environmental impact is a key issue, yet the companies that produce such models have stayed remarkably quiet about the amount of energy they consume – probably because they don’t want to spark our concern.
Google’s global datacentre and Meta’s ambitious plans for a new AI Research SuperCluster (RSC) further underscore the industry’s energy-intensive nature, raising concerns that these facilities could significantly increase energy consumption. Additionally, as these companies aim to reduce their reliance on fossil fuels, they may opt to base their datacentres in regions with cheaper electricity, such as the southern US, potentially exacerbating water consumption issues in drier parts of the world. Before making big announcements, tech companies should be transparent about the resource use required for their expansion plans."