reqo

13 ms·

121.
How You Read a Metar(metar-taf.com)
1 points by reqo 3y ago|0 comments
122.
by reqo 3y ago
I honestly don't think there is any incentive for large corporation to care too much about things like this and, on the contrary, they are incentivized to do more! The fine they get is basically cost of doing business and since our att
123.
by reqo 3y ago
I think this is really interesting from a meta (in-context) learning pov, but I think at some point prompt engineering stops being prompt engineering and instead becomes in-context training. This is problematic for applications such as sear
124.
by reqo 3y ago
I bet this will make Neuralink useless! It would be great for the poor animals getting operated!
125.
by reqo 3y ago
I don’t see the contradiction. Humans can be emotional and at the same use science to make all humans life better! In fact why would we ever develop any technology that makes life better for others if we don’t have any feelings for them?
126.
by reqo 3y ago
>Finding that 70% of attention heads and 20% of feed-forward networks can be excised with minimal effect on in-context learning suggests that large language models are undertrained. I thought that it was common knowledge that LLMs are un
127.
by reqo 3y ago
it makes me think of the flashes in the game of life! who knows how this released energy is going to affect the celestial objects nearby and these in turn affect other bodies and so on...
128.
FunSearch: Making new discoveries in mathematical sciences using LLMs(deepmind.google)
388 points by reqo 3y ago|100 comments
129.
by reqo 3y ago
Another probable bad side effect of AI will be that a generation of developers will become dependent on copilot/chatgpt to be able to write code! They will definitely perform worse than before llm era without the help of a llm!
130.
by reqo 3y ago
If you like that movie, then I highly recommend checking out The Rehearsal (2022). Basically a show version of the movie!
131.
by reqo 3y ago
Are there any AI startups with big funding which are using AI to solve what was promised that AI would solve (climate change, cancer etc.)? Seems to me that majority of AI startups are extremely focused on either enterprise copilots/ag
132.
by reqo 3y ago
If I understand correctly, your focus will be on smaller models and what can be built on top of them? How relevant do you think fine-tuning small models will be once AGI is widely accessible? Do you think smaller models can co-exit in a AGI
133.
by reqo 3y ago
What I would love to see is this model being able to learn ti automate some tasks that I usually do! e.g. sign up for events/buy tickets etc! If this has access to your login details, and could log in, it could be a great assistant!
134.
by reqo 3y ago
Serious competition in the small model space recently. The main goal of models this small is to be deployed locally to phone/laptop (consumer electronics soon maybe?) I wonder if this will lead to a new generation of apps/UI, if i
135.
by reqo 3y ago
Considering that this model has basically zero censorship I would say it is going to take a while before companies have fine-tuned this enough before putting it in production.
136.
Ask HN: Should ML models imitate human brain to generate human-like data?
1 points by reqo 3y ago|0 comments
137.
NASA Lab's Workforce Woes Threaten Major Space Missions(scientificamerican.com)
1 points by reqo 3y ago|0 comments
138.
by reqo 3y ago
Can someone explain why MoE works? Is there any downside to MoE compared to a regular model?
139.
by reqo 3y ago
This could seriously aid enterprise open-source model adoption by making them safer and more aligned with company values. I think if more tools like this are built, OS models fine-tuned on specific tasks could be a serious competition OpenA
140.
Audiobox: Meta's new foundation research model for audio generation(ai.meta.com)
268 points by reqo 3y ago|84 comments
141.
Outline of Machine Learning(en.wikipedia.org)
2 points by reqo 3y ago|0 comments
142.
by reqo 3y ago
Shazam is perhaps the most profitable music informatics technology of all time, yet it knows nothing about music at all! It’s basically just a fast hashing algorithm!
143.
by reqo 3y ago
I feel like visualizations like this are what is missing from univeristy curricula. Now imagine a professor going trough each animation describing exactly what is happening, I am pretty sure students would get a much more in-depth understan
144.
Seamless Communication: Expressive, fast and high-quality AI translation(ai.meta.com)
3 points by reqo 3y ago|0 comments
145.
Copyright and the Generative-AI Supply Chain(genlaw.org)
1 points by reqo 3y ago|0 comments
146.
AlphaXiv: Comment directly on top of ArXiv papers(alphaxiv.org)
3 points by reqo 3y ago|0 comments
147.
Graph Networks for Materials Exploration(deepmind.google)
241 points by reqo 3y ago|42 comments
148.
Linux Filesystem Hierarchy (2004)(tldp.org)
58 points by reqo 3y ago|61 comments
149.
Keras 3: A new multi-back end Keras(github.com)
2 points by reqo 3y ago|0 comments
150.
by reqo 3y ago
Very few things stay the same in Technology. You should think of technology as another type of evolution! It is driven by the same type of forces as evolution IMO. I think even Linus Torvalds once stated that Linux evolved trough natural se

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