- yazanobeidi parentHave you run into the bug where claude acts as if it updated the artifact, but it didn’t? You can see the changes in real time, but then suddenly it’s all deleted character by character as if the backspace was held down, you’re left with the previous version, but claude carries on as if everything is fine. If you point it out, it will acknowledge this, try again, and… same thing. The only reliable fix I’ve seen is to ask it to generate a new artifact with that content and the updates. Talk about wasting tokens, and no refunds, no support, you’re on your own entirely. It’s unclear how they can seriously talk about releasing this feature when there are fundamental issues with their existing artifact creation and editing abilities.
- You’re not wrong, but, I can literally see it get worse throughout the day sometimes, especially recently. Coinciding with Pacific Time Zone business hours.
Quantization could be done, not to deliberately make the model worse, but to increase reliability! Like Apple throttling devices - they were just trying to save your battery! After all there are regular outages, and some pretty major ones a handful of weeks back taking eg Opus offline for an entire afternoon.
- Hi, first off thank you for your contributions, and this goes to the entire team. Keras is a wonderful tool and this was definitely the right move to do. No other package nails the “progressive disclosure” philosophy like Keras.
This caught my eye:
> “Right now, we use tf.nest (a Python data structure processing utility) extensively across the codebase, which requires the TensorFlow package. In the near future, we intend to turn tf.nest into a standalone package, so that you could use Keras Core without installing TensorFlow.”
I recently migrated a TF project to PyTorch (would have been great to have keras_core at the time) and used torch.nested. Could this not be an option?
A second question. For “customizing what happens in fit()”. Must this be written in either TF/PyTorch/Jax only, or can this be done with keras_core.ops, similar to the example shown for custom components? The idea would be you can reuse the same training loop logic across frameworks, like for custom components.
- Try projecting it on a surface with curvature. The projected grid spacing will be irregular and follow the curvature.
- Would you mind expanding on “each sample costs 10k USD”?
- If one’s standards exceed what they can provide for, they are beholden to that which can.
Seems to be “a feature not a bug” because as you suggest, this is actually problematic for people trying to live a simple dignified life.
- Why is this better than self sustaining and carbon neutral homesteads?
- I like what you wrote here and how you think.
However I have to make one remark.
Schopenhauer would say that Alexa does in fact have will to turn the lights off. A burning will, the same will within yourself and everything that is not idea. That it is your word that sets off an irreversible causal sequence of events leading to the turning off of the lights. Schopenhauer would ascribe his “Principle of Sufficient Reason” as the reason for happening. It is not that Alexa chooses to obey, but by the causal chain enforced by physics and more leaves the will of the universe no choice but to turn off the lights. Same reason why the ball eventually falls down when thrown up. I believe this is the metaphor Schopenhauer uses in his World as Will and Idea.
- You’d be surprised what goes on in Level 0… who works there, how they work, the hour-by-hour. Even at a big company that handles most of the world’s credit card transactions at their biggest data centre, for example. It would absolutely blow your mind. It’s amazing the internet works as reliably as it does!
- That is not completely correct. We have inherent biological drives from lower level temperature regulation and such to nutrition intake and on an even higher level a proclivity for social interaction including reproduction. The ways these frames can be aligned and satisfied are not infinite. So some level of constraints and requirements are pre-specified. A person’s chosen behaviour must fit within this structure and that of others for it to be sustainable.
- Where did you find this? That’s amazing
- Hmm I interpreted “two floor apartment” incorrectly it seems.
- That’s a stacked townhome.
- The joy of construction comes from the difficulty of combining design thinking with entrepreneurial financial prudence and first principles engineering to overcome obstacles that (often) arise. And then of course, translating these ideas into tangible functional art. It is very much like software engineering, but as you say ; the stakes much higher.
- Sounds like a Nash equilibrium.
- Your comment made me think of this: https://en.wikipedia.org/wiki/Bond_graph
“Multi modal” system representation in graph format. You can represent an electric, hydraulic and mechanical system in one graph. Anything really by relating them to the substituent energy and power. Its representation allows you to easily extract the differential equation. Neat stuff.
- You should take another look at Eliasmith’s work. The neural engineering framework aims to be biologically plausible, with some assumptions made to simplify the math. Cellular processes are not the focus of the model. It however attempts to replicate these dynamics with simplified “components”. It’s one of the only, if not the only, neural models that is consistently supported by experimental data.
Their website is https://nengo.ai and I am not affiliated with them just an alum that took his course.
- Sorry, now I see what you mean!! Yes underground inductor loops are already pretty common. They make it possible to do things like preventing a change of lights if nobody is waiting on the red. The limitation is it can only detect the car that is physically on top of the inductor loop. They can also be less than ideal in some situations e.g. someone on a side road turning right who triggers a change of lights, needlessly stopping the main road. It’s typically a great improvement over nothing at all, but there is additional (massive) improvement.
I thought you were initially referring to Adaptive Traffic Signal Controllers [1]. They detect vehicle congestion in real time and adapt routing strategies to maximize throughflow. They also coordinate directly with other traffic lights instead of relying on manual timings. Which are often determined through lengthy and data intensive “signal studies”. These have shown to provide, for example, substantial time savings, fuel and emission savings, and there have been measurable positive effects on safety.
[1] https://en.m.wikipedia.org/wiki/Adaptive_traffic_control
- In the USA the latest statistics indicate less than 3000 of these adaptive lights are in operation (“less than 1%”). I am curious what New Zealand did to fund the six figure cost per intersection.
- Only a small proportion of traffic light signals are adaptive and/or connected today. Most rely on manual signal timing studies to set a timing schedule. The up-front cost is typically prohibitive. Full disclosure I am founder of a startup changing the economics on this.
- Someone else linked a book, but this TV show, Connections by James Burke [1], follows this idea of cyclical dependencies in technology. Society starts with the plow. Definitely a great watch, even though it was made basically pre-internet.