symbolicAGI

6 ms·

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by symbolicAGI 2y ago
You are not likely to have 17.03800786369594 crashes if your Tesla is driven on autopilot for 130 miles. The M suffix on 7.63 indicates million. 130 miles / 7630000 = 0.000017038 expected accidents while driving on Autopilot to your Mu
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by symbolicAGI 3y ago
ChatGPT-4 is wonderful for composing regular expressions. Saves so much time when transforming various Java strings that arise in my work. Today's big time savings came from this prompt: "Write a Java method that uses the Eclipse
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by symbolicAGI 3y ago
"electronic dance music about a solo inventor pursuing his life long dream of creating artificial general intelligence over many decades." Making a playlist of the same prompt with oh so many music genres.
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by symbolicAGI 3y ago
Consider LLM code generation. It would an ideal domain for simulated data. For example, a version of popular software is released with new functions. A framework could simulate numerous plausible code snippets that exercise the new release,
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by symbolicAGI 3y ago
The point is that symbolic computation as performed by Cycorp was held back by the need to train the Knowledge Base by hand in a supervised manner. NNs and LLMs in particular became ascendant when unsupervised training was employed at scale
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by symbolicAGI 3y ago
Doug Lenat, RIP. I worked at Cycorp in Austin from 2000-2006. Taken from us way too soon, Doug none the less had the opportunity to help our country advance military and intelligence community computer science research. One day, the rapid a
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by symbolicAGI 3y ago
Easiest way to guess a person's age is by the relative size of the ears, that never stop growing. Tiny ears - teenager. Huge ears - senior. https://pubmed.ncbi.nlm.nih.gov/18653105/
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by symbolicAGI 3y ago
X (formerly Twitter) has two sorts of feeds that are chosen. 1. "Following", which is chronological. 2. "For you", which is algorithmic. For those whose motivation is tracking news events, the chronological view is mos
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by symbolicAGI 3y ago
Indeed. The common answer for scaling compute is the recruit more hardware. Tesla has a vast amount of video data to feed into its vision --> action model. Training on Nvidia hardware takes too long. Dojo fixes this problem by a novel SI
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by symbolicAGI 3y ago
Being on the spectrum entails downsides as well as super powers. Elon is a jerk, Elon is a genius, Elon is the best custodian for the vast capital he controls. https://abilitycentral.org/article/autism-quick-tips-top-8-
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by symbolicAGI 3y ago
Benchmarks I've run with a Ryzen 7950x, 128 GB RAM with Nvidia GeForce 3060 12 GB VRAM show a slowdown less than half when not using the GPU, with LLama.cpp as the inference platform and various ggml open source models in the 7B-13B
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by symbolicAGI 3y ago
The Stackoverflow research initiatives per generative AI are very good examples of what some enterprises can do to improve user-input text context on websites and applications. 1. Adapt user text to a standard format. 2. Correct spelling an
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by symbolicAGI 3y ago
Wonderful innovation to use handy buttons that invoke specific prompts, reducing user's cognitive load from an otherwise empty chat input box. The graph reminds me of concept maps used in GOFAI knowledge representation and acquisition.
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by symbolicAGI 3y ago
Exponential growth of recursively self-improving AI happens simultaneously in several dimensions. 1. Better algorithms, more efficient, faster, more capable. 2. Better hardware, for example bespoke chips for each particular common computati
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by symbolicAGI 3y ago
Your logic is sound. Tesla pundits predict big sales of Cybertruck wraps and accessories as customers seek the status of customization for an truck that many, many will end up having.
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by symbolicAGI 3y ago
Tesla raised prices in order to reduce the time between order and delivery when customer demand got too hot. Raising prices also improved profit margins during a time of rapid capital spending. Now customer demand has cooled with the intern
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by symbolicAGI 3y ago
Intel and AMD both need to make LLM inference tools plug n play with their GPUs. Otherwise Nvidia is the default choice when selecting a GPU for local LLM inference. Aurora is working with OpenAI and Azure which is a very positive step in t
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by symbolicAGI 3y ago
On the other hand, Musk's other female CEO is wildly successful. Witness Gwynne Shotwell at SpaceX. She dominates commercial space launch sales and the Starlink ISP constellation . Twitter is much better technically in the past year be