Hot take: Foundation Models custom tools should be AppIntents 
Or we should at least be able to create a tool from an AppIntent or provide app intents to the LLM session.
It’d be like using Siri or the Shortcuts app from within the app, in a prompt-based conversational way.
#wwdc25 #FoundationModels #Xcode #LLM
Has anyone seen the Foundation Models actually working? Am I holding it wrong? I am not getting any responses either in the playground or app, and there is a bunch of this crap in the console when running the app.
Running Xcode 26 beta on macOS 26 beta.
Are there regional restrictions? Xcode AI chat also is “unavailable in my region”.
Can time series (TS) #FoundationModels (FM) like Chronos zero-shot generalize to unseen #DynamicalSystems (DS)? #AI
No, they cannot!
But *DynaMix* can, the first TS/DS foundation model based on principles of DS reconstruction, capturing the long-term evolution of out-of-domain DS: https://arxiv.org/pdf/2505.13192v1
Unlike TS foundation models, DynaMix exhibits #ZeroShotLearning of long-term stats of unseen DS, incl. attractor geometry & power spectrum, w/o *any* re-training, just from a context signal.
It does so with only 0.1% of the parameters of Chronos & 10x faster inference times than the closest competitor.
It often even outperforms TS FMs on forecasting diverse empirical time series, like weather, traffic, or medical data, typically used to train TS FMs.
This is surprising, cos DynaMix’ training corpus consists *solely* of simulated limit cycles & chaotic systems, no empirical data at all!
And no, it’s neither based on Transformers nor Mamba – it’s a new type of mixture-of-experts architecture based on the recently introduced AL-RNN (https://proceedings.neurips.cc/paper_files/paper/2024/file/40cf27290cc2bd98a428b567ba25075c-Paper-Conference.pdf), specifically trained for DS reconstruction.
Remarkably, DynaMix not only generalizes zero-shot to novel DS, but it can even generalize to new initial conditions and regions of state space not covered by the in-context information.
We dive a bit into the reasons why current time series FMs not trained for DS reconstruction fail, and conclude that a DS perspective on time series forecasting & models may help to advance the #TimeSeriesAnalysis field.
@Techmeme This is the danger of closed source
These are knowledge models, and they only output what they are fed with
And no, they won’t magically develop ’reasoning skills’ and be able to sift through propaganda. NOT when it’s part of the training
To think otherwise means you don’t know shit how they work
They obey statistics. Training data for #ai #foundationmodels should be subject to public #academic scrutiny. Otherwise the models are bound to fall for flooding attacks
Why Unlearning Is Hard For AI, And Why Your Business Should Care https://www.byteseu.com/783709/ #AI #AIBusiness #AIData #AIFluency #AIGovernance. #AILiteracy #AISafety #ArtificialIntelligence #DataGovernance #FoundationModels #LargeLanguageModels
#GenerativeAI, #FoundationModels, #LLMs, and all of that hokey nonsense shall not appear in my #robotics roadmaps as anything other than a neat research item until it can demonstrate a feasible path to #FunctionalSafety or mathematical completeness.
I lead #Product on the largest mobile-#robotic fleet known to humankind. I will not entrust decisions that could maim or kill to a pile of nondeterminate math prone to “hallucinations” or confabulation.
Foundation
Models guard innovation
But over-regulation could
Kill them or drive out
Fears for the future
#ai #regulation #foundationmodels #business #tech #cinquain #poetry
New piece for @TheConversationUS on the Biden Adminstration's sweeping new executive order on "Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence"
University of Chicago researchers seek to “poison” AI art generators with Nightshade - Enlarge (credit: Getty Images)
On Friday, a team of researcher... - https://arstechnica.com/?p=1978501 #largelanguagemodels #universityofchicago #adversarialattacks #foundationmodels #machinelearning #aitrainingdata #imagesynthesis #datapoisoning #nightshade #aiethics #benzhao #biz #google #metaai #openai #aiart #glaze #meta #ai
Cool cool I'm on holiday and Stanford releases a transparency index preprint that looks genuinely useful but also not unlike something we did months ago. I don't want to deal with this right now and it is entirely possible they haven't seen our work yet but I do wish somebody told them there's no shame in informing oneself of prior work and no cost in recognising others' efforts
Our published ACM paper (right): https://doi.org/10.1145/3571884.3604316
(PDF https://pure.mpg.de/rest/items/item_3526897_1/component/file_3526898/content )
Good morning everyone! Here's my latest #Connections #Introduction #Introductions #TwitterMigration post, where I curate interesting accounts for you to follow from across the #Fediverse 
@maryrobinette is a #writer #author, and I am listening to her incredible #LadyAstronaut series at the moment. If you love #SciFi (esp hard scifi) you should read it, too! 
@sayashk is a #ComputerScience #PhD candidate at #Princeton, who is researching failures in #ML (he's also co-running a workshop on open #FoundationModels in about 15 hours, see my previous posts for more info)
@michcampbell is Dr Micha Campbell and she is a #PalaeoClimate #PostDoc living on #Dharawal country 
@mthv is a #Research #Engineer who works in #GIS at #CNRS 
@astrolori is Lori and she is into #OpenSource, #fashion, #space and #tech #WomenInSTEM 
@pandas_dev is the official account for #pandas, the #Python #DataAnalysis tool 
@jessie is a lover of #languages and helps run #CommonVoice, @mozilla 's open #voice #data set, which now supports over 100 languages. She also teaches #WebDev and loves #hiking. She's awesome you should follow her 
That's all for now, please do share your own lists so we can create deeper connections, and a tightly-connected community here
I'm reminded here of @maryrobinette's short story - "Red Rockets" - "She built something better than fireworks. She built community."
Hang in there, my fellow #knowledgegraph researchers and practitioners, soon (in a few years) we will reach the "Slope of Enlightenment" ;-)
The new Gartner hype cycle for AI positions knowledge graphs right in the middle of the "Through of Disillusionment" ... while placing #GenerativeAI and #FoundationModels #LLMs at the peak of the hype
https://www.gartner.com/en/articles/what-s-new-in-artificial-intelligence-from-the-2023-gartner-hype-cycle#:~:text=The%202023%20Gartner%20Hype%20Cycle%E2%84%A2%20for%20Artificial%20Intelligence%20(AI,most%20credible%20cases%20for%20investment.
#semanticweb #ai #hypecycle #artificialintelligence
Blahblah AI blahblah foundation model blahblah open source blahblah save the world. If IBM & Hugging Face really wanted to make a difference, they'd take 1% of the money behind this and channel it to forest defenders on the ground
https://newsroom.ibm.com/2023-08-03-IBM-and-NASA-Open-Source-Largest-Geospatial-AI-Foundation-Model-on-Hugging-Face?sf180690669=1
#foundationmodels #ibm #huggingface #climatecrisis
#IBM and #NASA Open Source Largest Geospatial AI Foundation Model on #HuggingFace 
@smach @UlrichJunker I’m really surprised. I thought they drew from distributions. Is some perverse outcome of the perverse attempt to eliminate “hallucinations”? #llm #GenerativeAI #Aiethics #foundationModels #AIBias
The generative AI revolution has begun—how did we get here? - Enlarge / This image was partially AI-generated with the prompt "a pair... - https://arstechnica.com/?p=1912999 #artificialintelligence #foundationmodels #machinelearning #stablediffusion #generativeai #features #language #chatgpt #dall-e #openai #tech #ai
The generative AI revolution has begun—how did we get here?
https://arstechnica.com/?p=1912999
#ArtificialIntelligence #foundationmodels #machinelearning #StableDiffusion #generativeai #Features #language #ChatGPT #dall-e #openai #Tech #AI
On #TheDataExchangePod: Peter Norvig & Alfred Spector, part of the team of authors behind the highly-acclaimed book, Data Science in Context, a must-read guide on what you need to know to use #DataScience more effectively and ethically.
We discuss their Data Science Analysis Rubric & its relationship with software engineering best practices. #Automation in #datascience #MachineLearning, #SyntheticData, large #NLproc Models and #foundationmodels.
https://thedataexchange.media/data-science-and-ai-in-context/
Here are the slides of my keynote presentation "Symbolic and Subsymbolic AI - An Epic Dilemma?", at the Extraction et Gestion des Connaissances (EGC 2023) conference in Lyon.
