151
I Asked ChatGPT to Explain Some Jokes to Me
Explaining a joke is like dissecting a frog. You understand it better but the frog dies in the process.
152
The AI Unbundling
AI is starting to unbundle the final part of the idea propagation value chain: idea creation and substantiation. The impacts will be far-reaching.
153
Do simpler machine learning models exist and how can we find them?
The above is the title of a talk by computer scientist Cynthia Rudin. here’s the abstract:
154
Protect me from what I want
Over on Mastodon, there are many people who enjoy not being in the grip of software like Facebook or Twitter that single-mindedly tries to maximize “engagement”, which means the amount of time you stare at the screen so they can show you ads. These algorithms don’t care what they’re showing you and if it turns out…
155
“Chatbots: Still Dumb After All These Years”
In 1970, Marvin Minsky, recipient of the Turing Award (“the Nobel Prize of Computing”), predicted that within “three to eight years we will have a machine with the general intelligence of an average human being.”
156
I built an open-source, AI-powered solar panel that's 95% optimal
This research demonstrates a model-free approach to optimize the energy produced by a dual-axis solar panel using reinforcement learning. Specifically, a softmax actor-critic agent optimizes energy production in a simulated, dynamic lighting environment which is generated from real power data. All s
157
158
New Capabilities for GPT-3: Edit and Insert
We’ve released new versions of GPT-3 and Codex which can edit or insert content into existing text, rather than just completing existing text.
159
Emergent Features in 6.7B+ Param Transformers
When I attended NAACL, I wanted to do a little test. I had two pitches for my LLM.int8() paper. One pitch is about how I use advanced quantization methods to achieve no performance degradation transformer inference at scale that makes large models more accessible. The other pitch talks about emergent outliers in…
160
Google ML Compiler Inlining Achieves 3-7% Reduction in Size
Posted by Yundi Qian, Software Engineer, Google Research and Mircea Trofin, Software Engineer, Google Core The question of how to compile faster an...
161
Frank Rosenblatt's perceptron paved the way for AI 60 years too soon (2019)
As the Faculty of Computing and Information Science celebrates its 20th year, Frank Rosenblatt’s prescient research into artificial intelligence underscores Cornell’s pivotal role in computing history.
162
Are popular toxicity models simply profanity detectors?
Are popular toxicity models simply profanity detectors? We show how toxicity models overweight profanity, and make mistakes when profanity is used in a positive way.
163
No Language Left Behind
Our work aims to break down language barriers across the world for everyone to understand and communicate with anyone—no matter what language they speak.
164
GitHub Copilot isn't worth the risk
Copilot may be a glimpse into the future of AI, but it comes with a lot of legal and security baggage.
165
Machine learning is still too hard for software engineers
Machine Learning has made huge strides in the last few decades, but it remains largely inaccessible to the average developer. This post examines some of the reasons why.
166
Doing small network scientific machine learning in Julia faster than PyTorch
Doing small network scientific machine learning in Julia 5x faster than PyTorch ...
167
168
Using ChatGPT to make Bash palatable
Brev.Dev Instances Console
169
Transformers for software engineers
Ever since its introduction in the 2017 paper, Attention is All You Need, the Transformer model architecture has taken the deep-learning world by storm. Initially introduced for machine translation, it has become the tool of choice for a wide range of domains, including text, audio, video, and others. Transformers…
170
Stable Diffusion launch announcement
The model itself builds upon the work of the team at CompVis and Runway in their widely used latent diffusion model combined with insights from the conditional diffusion models by our lead generative AI developer Katherine Crowson, Dall-E 2 by Open AI, Imagen by Google Brain and many others. We are
171
Why tensors? A beginner's perspective
Faizan Muhmmad is a Software Engineer at Google
172
AI and the Future of Pixel Art
The homepage of Lux: professional artist, game developer, educator, and pixel provocateur.
173
Google Research: Themes from 2021 and Beyond
Posted by Jeff Dean, Senior Fellow and SVP of Google Research, on behalf of the entire Google Research community Over the last several decades, I'v...
174
I am frustrated with Stable Diffusion
I really want to make a game along the line of Myst. I have been collecting puzzles for years, and I have almost enough. I am flexible about the visual style. I’ve considered making sets out of lego, or cardboard , or cut paper. And I’ve considered AI-generated art.
175
Vectors are over, hashes are the future
Get an introduction into the thinking behind the rise of neural hashing technology — and learn why this may end up being an enormous shift in AI advancement.
176
The singularity is close?
Or "Why we're all in denial about the robot apocalypse"
177
What ChatGPT can't do
Mimicry but not thought, sophistry but not understanding
178
AI-designed camera only records objects of interest while being blind to others
FEATURED NEWS California NanoSystems Institute > Featured News > August 15, 2022 | AI-designed camera only records objects of interest while being blind to others AI-designed camera only records objects of interest while being blind to others To image, or not to image: Class-specific diffractive cameras with…
179
180
