Salam to you all
I would like to second Gaston in his view, especially in reference to
collective elements that make us who we are and how we act
not only as designers but as humans in this world. Heidegger's thrownness
does provide the substance to understand how distinct
and distant are designers' authentic output and that of generative models
whether Visual or LLM.
A designer is indeed
*"an embedded person, with motivations, past lived experiences, and
opinions (a person who brings these elements, consciously or not, to their
practice"* and regardless of what Tokenization technique is used within
these models which is mainly driven by
efforts to make more profits as the bottom line and to give further
leverage for these models with less governance and community engagement,
I elaborate a bit more below on my technical understanding of the tokens
below. But my main point to drive here is not just about LLM its
about the overall rave of Generative AI models, which in my humble view was
based (and will continue to be) on unethical grounds
scrapping and using visual content of thousands of designers, artists, and
illustrators, without any consent or have had no plans to ever
do that, not even for verbal credit.
While many voices were raised earlier against this, it seems the world and
our design community are moving on.
which I believe should not be the case. I have submitted a work that
carefully demonstrated a way to put these
models to use within the design process, but designers should oversee the
process and adjust as required.
several journals did not want to publish this as a contested view, even
though we had designers working
with these models as a visual cognitive scaffolding! That is another issue
for another time.
I would certainly love to hear back from you all your views on how are we
supposed to defend this innate creativity of being humans
let alone designers in the face of prompt engineering (yes they have
created a fancy name for this as well).
Mohammad
---------------------------------------------------------------------->
Ktokens can be used independently or in tandem with Ttokens in
decentralised apps, which is essential to maintain governance, transparency
and control over the process.
Examples include controlling access, authorizing transactions, activating
features, allocating resources, and implementing rewards systems.
Using Ktoken alone would at the face of things (the money making) allow:
- Simplicity: Ktokens are simpler to use than Ttokens because they do
not require a *complex governance structure.*
- Flexibility: Ktokens can be used for a variety of purposes, such as
access control, transaction authorization, feature activation, resource
allocation, and reward systems.
- Control: Ktokens gives developers *a high degree of control over how
their DApps are used*.
But on the other hand, it would
- Limited community involvement: Without Ttokens, there is no mechanism
for community members to participate in the governance of the DApp.
- Centralized control: Ktokens can give developers too much control over
the DApp, which could lead to centralization and abuse of power.
- Lack of incentives: Without Ttokens, there is no mechanism to
incentivize community members to participate in the development and
maintenance of the DApp.
On Mon, Nov 20, 2023 at 8:28 PM Gaston Welisch <[log in to unmask]>
wrote:
> Hi all, This is my first message here, and I couldn't resist the topic. I'd
> tend to side with Nuno - My technical expertise is limited here but the
> consensus seems that at least for Large Language Models, we are already
> hitting a plateau and that more focused models with better training might
> be the way forward - https://dl.acm.org/doi/10.1145/3442188.3445922 this
> article (Stochastic parrots, widely cited) is a bit old now but touches
> upon some of the issues with the current "bigger is better" approach to
> LLMs. I also second Gabriele with the reference to the excellent work of
> Timnit Gebru and colleagues like Dr. Joy Buolamwini do concerning immediate
> harms like biases.
> I'm wondering if the existential worry in design is exacerbated by the
> current trend of packaging our activities into a marketable 'process' -
> design thinking, rather than acknowledging the role of the practitioner.
> When design is seen as a process with inputs and outputs, it risks reducing
> what we do to something akin to a machine, thus making it feel more
> susceptible to the threat of being replaced by AI. This perspective does a
> disservice to design creatives, who in my opinion are not just wielders of
> tools and processes. A designer is an embedded person, with motivations,
> past lived experiences, and opinions (a person who brings these elements,
> consciously or not, to their practice). These are aspects that current AI
> models, regardless of their sophistication in terms of KTokens, MTokens, or
> TTokens, do not possess (although they can be simulated if asked), and
> would require a fundamental shift in their design.
> I think we could reference Heidegger's concept of Dasein, or
> 'being-in-the-world' - the existential nature of human experience is absent
> in AI. Our work as designers is a reflection of our way of being and
> interacting with the world, within our cultural, historical, and personal
> contexts. Perhaps this could be an argument for a return of a sort of
> "authorship" of design?
> --- Gaston Welisch Researcher + PhD Applicant Glasgow School of Art
> https://gaston.pro/
> ---
>
> On Mon, 20 Nov 2023 at 13:34, Nuno Jardim Nunes <
> [log in to unmask]> wrote:
>
> > I would be careful in thinking that token size could follow the same
> > exponential growth of Moore’s law, leading to an exponential increase in
> > the quality of LLMs. It will undoubtedly increase computational effort,
> but
> > that’s the only evidence we have.
> >
> > So far, we know that while increasing the number of tokens generally
> > improves the quality of LLM outputs, there are practical and technical
> > limits. Beyond a certain point, further increases in token count may not
> > yield proportionate improvements in quality, and other factors like
> > training data quality and computational efficiency become increasingly
> > important.
> >
> > Technical improvements (and simple market competition) will decrease the
> > cost but increase the number of tokens, but I think we will see LLMs
> > hitting limitations sooner than we expect:
> >
> > Here is an interesting technical read in one angle of this problem:
> > https://doi.org/10.48550/arXiv.2305.18654
> > --
> > Nuno Jardim Nunes
> > Professor HCI - Técnico - U. Lisbon
> > http://nunojnunes.me
> > President | Interactive Technologies Institute | LARSyS |
> > http://iti.larsys.pt
> >
> > > On 20 Nov 2023, at 08:49, Ferri, Gabriele <
> > [log in to unmask]> wrote:
> > >
> > > Hi Andre, thanks for the information.
> > >
> > > I suppose it's a matter of understanding what do we mean by "design,"
> > which is a topic that - whenever it's raised - causes heated intellectual
> > debates in this list and elsewhere 😉 Perhaps it's not the best move to
> > dive into that rabbit hole again. Or, at least, I don't have the energy
> for
> > another round right now.
> > >
> > >
> > >
> > > On the other hand, I'd like to take this opportunity to mention the
> very
> > interesting work by Timnit Gebru and colleagues unpacking the immediate
> > harms caused by LLMs and AI (whatever this umbrella term actually means).
> > They argue against the tendency to fixate on longer-term risks (AGI etc)
> > and for the need to attend immediate harms instead (energy/water use,
> labor
> > exploitation, etc). Their foundational paper is
> > https://doi.org/10.1145/3442188.3445922, this is another interesting
> > entry point https://doi.org/10.48550/arXiv.2210.02667, and I've written
> a
> > commentary/analysis recently https://doi.org/10.1145/3571884.3603751
> > >
> > >
> > >
> > > Cheers
> > >
> > > G:
> > >
> > >
> > >
> > >
> > >
> > > -----Original Message-----
> > > From: PhD-Design <[log in to unmask]> On Behalf Of andré neves
> > > Sent: Sunday, November 19, 2023 7:10 PM
> > > To: [log in to unmask]
> > > Subject: Human, AI and Design Activities
> > >
> > >
> > >
> > > TeraTokens
> > >
> > >
> > >
> > > ChatGPT 4.0 currently operates within the realm of KTokens, with a
> > context window of 128KTokens, comparable to the leap experienced with the
> > 16KBytes
> > >
> > > ZX81 in the 1980s.
> > >
> > >
> > >
> > > What transformations are expected when LLMs advance to using TTokens
> > instead of KTokens?
> > >
> > >
> > >
> > > In the design field, significant activities have traditionally relied
> on
> > human capacity to analyze situations and propose creative solutions.
> > >
> > > However, AI, with its rapid cognitive abilities, is poised to
> > revolutionize these design activities.
> > >
> > >
> > >
> > > Short Term (KTokens): In tasks where basic design principles are
> > applied, AI can automate and streamline processes, potentially reducing
> the
> > need for human intervention in simpler design tasks.
> > >
> > >
> > >
> > > Medium Term (MTokens): In more complex areas where understanding user
> > needs and environmental factors is crucial, AI might begin to
> significantly
> > contribute, bringing efficiency and data-driven insights.
> > >
> > >
> > >
> > > Long Term (GTokens): In highly creative fields where innovative
> thinking
> > and emotional intelligence are key, AI could offer advanced support and
> > collaboration, enhancing the creative process with new perspectives and
> > tools.
> > >
> > >
> > >
> > > This shift in design activities poses ethical and social challenges,
> > necessitating a reevaluation of the role of human designers and the
> > integration of AI in a manner that enhances rather than replaces human
> > creativity.
> > >
> > >
> > >
> > > Are we seriously and impartially discussing this topic in our groups,
> > whether in academia or the industry?
> > >
> > >
> > >
> > >
> > >
> > > -----------------------------------------------------------------
> > >
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--
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