How can a person make up for seven decades of misrepresentation and willful distortion in the time allotted to a sound bite? Recently, an Australian-Palestinian friend of mine was invited to appear on Australia’s national television network to discuss the situation in and around Gaza.

Emulations of photography generated by artificial intelligence are beginning to look so convincing that they can no longer be distinguished from images made by a film camera.

In an interview, best-selling author and machine-learning expert Pedro Domingos discusses the global competition to take the lead in artificial intelligence, the advance of autocrats and the threats modern technology presents to Western democracies.

For a manifesto to succeed, it must speak to our hearts like a poem while infecting the mind with images and ideas that are dazzlingly new.

This is a 1 hour general-audience introduction to Large Language Models: the core technical component behind systems like ChatGPT, Claude, and Bard. What they are, where they are headed, comparisons and analogies to present-day operating systems, and some of the security-related challenges of this new computing paradigm. As of November 2023 (this field moves fast!).

Context: This video is based on the slides of a talk I gave recently at the AI Security Summit. The talk was not recorded but a lot of people came to me after and told me they liked it. Seeing as I had already put in one long weekend of work to make the slides, I decided to just tune them a bit, record this round 2 of the talk and upload it here on YouTube. Pardon the random background, that's my hotel room during the thanksgiving break.

• Slides as PDF: https://drive.google.com/file/d/1pxx_ZI7O-Nwl7ZLNk5hI3WzAsTLwvNU7/view?usp=share_link (42MB)
• Slides. as Keynote: https://drive.google.com/file/d/1FPUpFMiCkMRKPFjhi9MAhby68MHVqe8u/view?usp=share_link (140MB)

Few things I wish I said (I'll add items here as they come up): - The dreams and hallucinations do not get fixed with finetuning. Finetuning just "directs" the dreams into "helpful assistant dreams". Always be careful with what LLMs tell you, especially if they are telling you something from memory alone. That said, similar to a human, if the LLM used browsing or retrieval and the answer made its way into the "working memory" of its context window, you can trust the LLM a bit more to process that information into the final answer. But TLDR right now, do not trust what LLMs say or do. For example, in the tools section, I'd always recommend double-checking the math/code the LLM did. - How does the LLM use a tool like the browser? It emits special words, e.g. |BROWSER|. When the code "above" that is inferencing the LLM detects these words it captures the output that follows, sends it off to a tool, comes back with the result and continues the generation. How does the LLM know to emit these special words? Finetuning datasets teach it how and when to browse, by example. And/or the instructions for tool use can also be automatically placed in the context window (in the “system message”). - You might also enjoy my 2015 blog post "Unreasonable Effectiveness of Recurrent Neural Networks". The way we obtain base models today is pretty much identical on a high level, except the RNN is swapped for a Transformer. http://karpathy.github.io/2015/05/21/rnn-effectiveness/ - What is in the run.c file? A bit more full-featured 1000-line version hre: https://github.com/karpathy/llama2.c/blob/master/run.c

Chapters: Part 1: LLMs 00:00:00 Intro: Large Language Model (LLM) talk 00:00:20 LLM Inference 00:04:17 LLM Training 00:08:58 LLM dreams 00:11:22 How do they work? 00:14:14 Finetuning into an Assistant 00:17:52 Summary so far 00:21:05 Appendix: Comparisons, Labeling docs, RLHF, Synthetic data, Leaderboard Part 2: Future of LLMs 00:25:43 LLM Scaling Laws 00:27:43 Tool Use (Browser, Calculator, Interpreter, DALL-E) 00:33:32 Multimodality (Vision, Audio) 00:35:00 Thinking, System 1/2 00:38:02 Self-improvement, LLM AlphaGo 00:40:45 LLM Customization, GPTs store 00:42:15 LLM OS Part 3: LLM Security 00:45:43 LLM Security Intro 00:46:14 Jailbreaks 00:51:30 Prompt Injection 00:56:23 Data poisoning 00:58:37 LLM Security conclusions End 00:59:23 Outro

Given the renewed scholarly attention to time and temporality, we present a reading list on the anthropology of time.

Konstantin Olmezov, a young Ukrainian mathematician and poet, died by suicide on March 20. He had come to Russia in 2018 to study a branch of mathematics—additive combinatorics—that was not well represented in his home country.

Play Lemmings now on iOS and Android: https://bit.ly/PlayLemmings

Watch the true story of Lemmings - from the computer rooms in Dundee to the world-changing UK games scene that exists today; through the voices of those who were there at the time and those who grew up playing it.

The documentary features: Adrian Powell (original Lemmings cover artist), Alyson Conway (sculpture artist), Brian ‘Biscuit’ Watson, (ex-DMA), Chris Scullion (journalist), Chris van der Kuyl (developer & Kingsway Club alumni), Eli Mouawad (streamer), Enrique Hervas (Lead Designer at Exient), Gary Penn (ex-DMA & journalist), Gary Timmons (ex-DMA), Gary Whitta (screen writer & journalist), Ian Hetherington (ex-Psygnosis), Jake Montanarini (Norwich University), James Roadley-Battin (Art Director at Exient), Kish Hirani (BAME In Games, ex-PlayStation), Larry Bundy Jr (TV presenter, YouTuber), Mike Dailly (ex-DMA), Nia Wearn (Deep Silver), Nick Gorse (Coventry University), Paul Farley (ex-DMA), Peter Molyneux (games industry legend), Robin Gray (Gayming Magazine), Russell Kay (ex-DMA), Ryan Locke (Abertay University), Silvio Micalef (Lead Artist at Exient), Steve Hammond (ex-DMA), Tim Wright (ex-DMA), Trista Bytes (superfan, YouTuber) and more.

Follow us on Social Media:

https://twitter.com/exient/ https://www.instagram.com/lemmingsofficial/ https://exient.io/

Through her writings and the collaborative curatorial platform Feral Atlas, the anthropologist is offering new ways of imagining – and representing – our relationship to nature

A text written for IOCOSE‘s exhibition “All of Your Base” held at Aksioma Project Space in Ljubljana, 1 December 2021–14 January 2022.

Published as a PostScriptUM PDF and print-on-demand publication.

► WHY I WANT TO FUCK ELON MUSK ► eBROCHURE (PDF)► PRINT ON DEMAND [coming soon]► LIST ON ISSUU

In their space race the gurus of the NewSpace movement are expanding an imaginary that hybridizes individualism, libertarianism, neoliberal economics, counterculture and utopianism. “Why I Want to Fuck Elon Musk” plays with these cultural references, taking inspiration from the most emblematic statements spoken or tweeted by Elon Musk in recent years. Daniel Rourke, a London-based writer, artist and academic, has resorted to working with the OpenAI Generative Pre-trained Transformer 3 (GPT-3) language model to imagine and narrate chronicles from a near future in which blockchains have materialized and the deepfakes of Bezos and Musk have colonized Mars. The fictional universe thus created by human and non-human imagination builds a literary counterpart to IOCOSE’s latest works – the video animations Pointing at a New Planet (2020) and Free from History (2021) – presented on the occasion of the “All of Your Base” exhibition at Aksioma | Project Space in Ljubljana.

Download PDF (eBROCHURE) View on Aksioma website

This summer, when Fame Lady Squad launched, claiming to be the first ever female-led crypto art collective, it quickly raised $1.5 million from people who wanted to support underrepresented artists.  Weeks later, it turned out, the group was actually run by men.

Traditionally we think of images as relatively individualized or delimited phenomena that, in one way or the other, appear to the human mind and apparatus of perception. Currently, however, we are witnessing an intensification of what we might call thenetworkedness of the image along with a proliferation of machine imagery that operates independently of human perception and cognition. These “operative images” are, in Harun Farocki’s oft-cited formulation, “images without a social goal, not for edification, not for reflection”—they “do not represent an object, but rather are part of an operation.” In fact, one might claim that one of the characteristics of the contemporary image-space is its increasing integration of operational images and machine vision.

Science fiction tells us that a change in a past event, caused by the intervention of a time traveler, will open up a parallel timeline that leads to an alternate present. The example that comes to mind, for some reason, is Back to the Future, Part II.

Is Mark Fisher’s “capitalist realism” this generation’s “end of history thesis”? For nearly thirty years Francis Fukuyama’s contention that “Western liberal democracy” represents “the end point of mankind’s ideological evolution” has measured the ebb and flow of history.

What can our awareness of the immediate present gain from the study of old visual art? At this time, when we need all of the help we can get, that hard question deserves discussion. To represent the world is to understand it, and to understand it might, hopefully, help cope with disaster.

Eleven philosophy short-courses taught in Melbourne June - July. The Melbourne School of Continental Philosophy is proud to present the Winter School 2020 curriculum. All courses are 10 hours in length. All courses will be taught via Zoom.

What can our awareness of the immediate present gain from the study of old visual art? At this time, when we need all of the help we can get, that hard question deserves discussion. To represent the world is to understand it, and to understand it might, hopefully, help cope with disaster.

Playing Afrobeats, Afrobeat. Show dedicated to the rich variety of music from Nigeria. Running everything from afrobeats and alté to funk and highlife, including some traditional Nigerian music, disco, Burna Boy and 70s stoner fuzz straight from Enugu.

https://www.nts.live/shows/anz/episodes/anz-presents-a-letter-to-eko-4th-april-2020

Science is a network, each paper linking those that came before with those that followed. In an exclusive analysis, researchers have delved into Nature's part of that network. We explore their results, taking you on a tour of 150 years of interconnected, interdisciplinary research, as represented by Nature's publication record.

Explore the network yourself: https://www.nature.com/articles/d41586-019-03165-4 Read more: https://www.nature.com/collections/eidahgdici/