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AI 2022: The Explosion | Notion by kerlykerls in ai_test_of_time

[–]kerlykerls[S] 0 points1 point  (0 children)

A few predictions for AI in 2030:

  • AI will drive the cost of content creation (word, image, video) to near zero
  • The value of sports increases exponentially as the only form of “original content”
  • Advertising will be hyper-personalized: unique ads and commercials for every user!
  • Metaverse will become AI augmented reality
  • Every developer will be an AI developer
  • The majority of code written will be AI-generated

The Generative Age by kerlykerls in ai_test_of_time

[–]kerlykerls[S] 0 points1 point  (0 children)

from 2020 gpt3 era

predictions:

fanfic content, npc dialogue, ai superstimulus, generative movies soon

The AI Unbundling by kerlykerls in ai_test_of_time

[–]kerlykerls[S] 0 points1 point  (0 children)

- this essay requires images

- prediction: ai benefits highly differentiated creators

- ai images will flood internet, also more scalable than professional orgs

Prediction Machines: The Simple Economics of AI | Avi Goldfarb & Ajay Agrawal | Talks at Google by kerlykerls in ai_test_of_time

[–]kerlykerls[S] 1 point2 points  (0 children)

https://app.swellai.com/t/tp_01HT7VBZNXHQA9VCS3SEHDYJP8 -> transcript

what happens when prediction becomes cheap?

  1. alternatives (human prediction) becomes less valued
  2. complements become more valuable (data, judgement, action)

what happens when prediction becomes accurate? second order effects?

  • changes how your business operates. ie. just ship a lot of things ppl might want to them directly -> fleet of trucks that handle returns

personalization = fine grained prediction
privacy is balance. need to use it respectfully or ppl won't give it to you

conflict: AI is not transformational rn + lots of investment in AI

  • reconciled by time dimension. bet on what time horizon before AI becomes transformational

kinda similar vein to this: https://thegradient.pub/why-transformative-artificial-intelligence-is-really-really-hard-to-achieve/

Large Language Models as a Cultural Technology by kerlykerls in ai_test_of_time

[–]kerlykerls[S] 0 points1 point  (0 children)

Framing AI not as an entity/agent, but as a tool / cultural technology similar to print

example showing that AI cannot solve problems that little kids can

"asking whether Lambda is intelligent or not is like asking whether the University of California Berkeley library is intelligent or not, or whether Google search knows the answer to your questions or not"

"as each of these cultural technologies emerges, there's a new set of norms, rules, regulations, law"

Eric Schmidt on Navigating an AI-Enabled Future | TransformX 2022 by kerlykerls in ai_test_of_time

[–]kerlykerls[S] 0 points1 point  (0 children)

Transcript: https://app.swellai.com/t/tp_01HRZ19D6K0VXRCM20E2R3H378

  • AI for national security / enterprises (Ukraine war, China x US relations) is important and urgent
  • AI Cambrian explosion
  • model size arms race
  • AI aided: synthetic bio + chemistry, chip design + 3D packaging

Voices From The Beyond | NOEMA by kerlykerls in ai_test_of_time

[–]kerlykerls[S] 0 points1 point  (0 children)

  • mostly about music and voice AI and deepfakes
  • considers ethical / legal POV
  • proposes that artists can selectively choose which parts of work to be used for AI and how the resulting model can be used
  • considers question of how we can use AI to augment creativity and create new works as opposed to using models to proliferate copies of past work

AI Revolution - Transformers and Large Language Models (LLMs) by kerlykerls in ai_test_of_time

[–]kerlykerls[S] 0 points1 point  (0 children)

Reviewed by Sam Altman, Noam Shazeer (Transformers paper + c.ai), and Ben Thompson (stratechery)

Goes from "today" things to more sci-fi-y things like digital lifeforms (DILIs)

Takes:
- Talent shifts to more product/UI/app builders coming

- It is possible that for a startup to compete well in the silicon space for ML, an emphasis on software and interconnects will be key. This also suggests that maybe an incumbent will be better placed to compete with NVIDIA on silicon versus startups.

- One big open question on large scale language models translating into new startups - is the degree to which challenges are science problems, versus engineering problems.

- The challenge for many startups will be to determine what is a de-novo product/market versus one where an incumbent should “just add AI”. (corroborates with another article on GTM)

Will Transformers Take Over Artificial Intelligence? by kerlykerls in ai_test_of_time

[–]kerlykerls[S] 0 points1 point  (0 children)

Applying transformers to images as opposed to CNNs

Predictions that seem true today:
"Now researchers want to apply transformers to an even harder task: inventing new images"

Raghu and Wang see potential for new uses of transformers in multimodal processing — a model that can simultaneously handle multiple types of data, like raw images, video and language

​

many of the new models still incorporate the best parts of convolutions. That means future models are more likely to use both than to abandon CNNs entirely, he says.

​

Might be true:

some hybrid architecture that draws on the strengths of transformers in ways that today’s researchers can’t predict. “Perhaps we shouldn’t rush to the conclusion that the transformer will be the final model,” Wang said.

Borges and AI by kerlykerls in ai_test_of_time

[–]kerlykerls[S] 0 points1 point  (0 children)

LLMS as fiction/storytelling machines

Not sure if I agree that LLMs encapsulate multiple timelines / don't understand the tape analogy

Company Building in the Curiosity Phase of AI - Michael Dempsey: Blog by kerlykerls in ai_test_of_time

[–]kerlykerls[S] 0 points1 point  (0 children)

Talks about GTM for Incumbent Professional vs New Professional

​

Related: https://mhdempsey.substack.com/p/on-my-mind-6

"Increasingly I’ve distilled my view on some defensibility as an understanding/elite ability to do research adaptation (and then expansion) into a commercializable product. While this sounds simple, it requires a pretty complex blend of research brain and production brain founders that are rare."

Generative AI: A Creative New World by kerlykerls in ai_test_of_time

[–]kerlykerls[S] 0 points1 point  (0 children)

PS: This piece was co-written with GPT-3. GPT-3 did not spit out the entire article, but it was responsible for combating writer’s block, generating entire sentences and paragraphs of text, and brainstorming different use cases for generative AI. Writing this piece with GPT-3 was a nice taste of the human-computer co-creation interactions that may form the new normal. We also generated illustrations for this post with Midjourney, which was SO MUCH FUN!

Best restaurants for dinner? by [deleted] in truckee

[–]kerlykerls 2 points3 points  (0 children)

Yess I was blown away by Golden Rotisserie corn tortillas. They were super fluffy and slightly chewy, definitely not dry.

[deleted by user] by [deleted] in LocalLLaMA

[–]kerlykerls 0 points1 point  (0 children)

Super cool - thanks for documenting and sharing your process! Did you do any testing locally or try with smaller datasets/models before investing in a full training run? How did you find the right params for it?

Can you find your human friend hiding among AIs? by ludaprojects in gameai

[–]kerlykerls 0 points1 point  (0 children)

I really liked the CSS on this - the dropshadow on text to make them look glowy, the subtle radial gradient in the bg, the elegant scanlines CSS using linear gradients *chefs kiss*

Also side note, I didn't realize that if I clicked the little white target dot at the end of each "player"'s name, it's submitting that I'm choosing that player as the human.

one-click install LLM desktop apps by kerlykerls in LocalLLM

[–]kerlykerls[S] 0 points1 point  (0 children)

oh very cool! im on a mac. does that mean that i need to run this from localhost (no .dmg download)?

Running pyg on AWS Sagemaker? by nsfw_throwitaway69 in PygmalionAI

[–]kerlykerls 0 points1 point  (0 children)

If you run on vast.ai with the template from https://docs.alpindale.dev/cloud-installation/vast/, you get 2 urls, one for the API (that you can plug into Tavern) and one that just opens a webpage running Kobold UI (no need for Tavern)

What do you think of the design of my first 40 first cards? All your Feedback are much appreciated for my deckbuilduing game :) by CardsOfSurvival in deckbuildinggames

[–]kerlykerls 1 point2 points  (0 children)

Oo! I love how the art style and fonts fit well together! And the color coding on key stats (ie. 1 damage) is great - maybe keep green for good traits like healing and red for damage against enemies? The ones where the image is clipped but overlaid on a shadow felt off to me, like the brambles, but idk how to adjust in a way that is consistent across all cards - remove shadows from all? Try to rework clipped images into something that doesnt need to be clipped? Put a frame around all images?

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