[HN Gopher] AlphaCode Attention Visualization ___________________________________________________________________ AlphaCode Attention Visualization Author : MurizS Score : 37 points Date : 2022-12-08 21:54 UTC (1 hours ago) (HTM) web link (alphacode.deepmind.com) (TXT) w3m dump (alphacode.deepmind.com) | ladon86 wrote: | For context on what this is, here is the associated blog post: | https://www.deepmind.com/blog/competitive-programming-with-a... | dang wrote: | One previous thread: | | _Competitive Programming with AlphaCode_ - | https://news.ycombinator.com/item?id=30179549 - Feb 2022 (397 | comments) | [deleted] | johnthuss wrote: | "As part of DeepMind's mission to solve intelligence, we created | a system called AlphaCode that writes computer programs at a | competitive level. AlphaCode achieved an estimated rank within | the top 54% of participants in programming competitions by | solving new problems that require a combination of critical | thinking, logic, algorithms, coding, and natural language | understanding." | pifm_guy wrote: | Worth noting that in many programming competitions online, a | large chunk of competitors either don't submit anything, or | only submit a little example. | tromp wrote: | Will we ever see the day when AlphaIOCCC submits a winning entry? | jw1224 wrote: | Has Google/Alphabet publicly released any of their AI models yet? | I've seen plenty of hype surrounding Imagen [1] and Parti [2], | but as far as I know, they're still vaporware. | | Normally I wouldn't think too hard about this, but two things | come to mind here: | | Firstly, the speed at which competitors are launching and | developing new AI models. Imagen/Parti both seem to rival Stable | Diffusion and DALL-E... why can't we use them yet? | | Secondly (and perhaps this is clouding my judgment), the fact a | Midjourney founder mentioned during an Office Hours session that | [paraphrasing]: "it's widely known in the industry that 90% of AI | research is completely made-up garbage"... | | [1] https://imagen.research.google/ | | [2] https://parti.research.google/ | [deleted] | jiggawatts wrote: | The cultures at the various leading AI research organisations | are wildly divergent. | | Google is full of people that for a want of a better word are | simply arrogant. They think that the purpose of AI is for them | to show off their skills and... that's it. At best they'd use | it internally for selling you more ads, they don't seem to | think other people are _worthy_ of using the output of their | efforts in any shape, way, or form. | | OpenAI is full of boyscouts that think that AI should be | carefully censored so that it represents black, brown, asian, | and white people equally. They deliberately skew the training | data to enshrine wokeness into the product, while also trying | to prevent anyone using their models to generate anything | vaguely like porn. Basically, they're digital mormons. No fun. | | Stability AI / Stable Diffusion is a bunch of people that had | money thrown at them with no guard rails. Anything goes. | Download our models and have fun! Make porn if you want to. | Whatever. | | To nobody's surprise, only the latter is of any interest or use | to the general public. | | The sad part is that Google had the most resources to spend on | training their models, and it's the least accessible. | | It's like Tony Stark inventing cold fusion energy and then | using only to power his suit instead of... you know... | _changing the world for the better_. | alphabetting wrote: | _Google is full of people that for a want of a better word | are simply arrogant. They think that the purpose of AI is for | them to show off their skills and... that 's it. At best | they'd use it internally for selling you more ads, they don't | seem to think other people are worthy of using the output of | their efforts in any shape, way, or form._ | | I don't think the papers they put out are to "show off." It's | for advancing the entire field. Imagine if they had kept the | Transformer paper in house which everyone uses and is | basically the standard in AI now. AI wouldn't be anywhere | close to where it is today. Also, I think it's a little | ridiculous to think Google would spend $100B over the past 10 | years on AI research and not think this stuff will be seen in | important products. ___________________________________________________________________ (page generated 2022-12-08 23:00 UTC)