circuit_training
Killed by Google
circuit_training | Killed by Google | |
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7 | 2,308 | |
687 | 2,374 | |
1.9% | - | |
6.9 | 7.0 | |
12 days ago | 6 days ago | |
Python | TypeScript | |
Apache License 2.0 | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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circuit_training
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The False Dawn: Reevaluating Google's RL for Chip Macro Placement
>> It is sad that you are providing a platform for someone's resentments.
The claims about independent replication refer to Google's circuit_training repository[1]. The UCSD team has conclusively shown this claim was materially false (see section 3 of their paper[2]).
BTW, Prof. Andrew Khang, who headed the UCSD effort, initially wrote an exteremely favorable editorial about the Nature paper[3].
[1] https://github.com/google-research/circuit_training
[2] https://arxiv.org/pdf/2302.11014.pdf
[3] https://www.nature.com/articles/d41586-021-01515-9
- Did recent AI events change your life plans?
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Suggest some final year projects ideas for electronics engineering using RL
Depending on your current level and coding knowledge I would highly recommend to build on existing RL-platform such as e.g. Circuit-Training, and then potentially explore RL-aspects orthogonal to the original paper in your work. Examples could be adopting some of the recent work on more effective sample spaces, quantifying uncertainties in the design process with regards to the optimality of the design, or adding more a further degree of freedom to the framework.
- Circuit Training: An open-source RL framework for generating chip floor plans
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Google fires another AI researcher who reportedly challenged findings
On the other hand, the research is open sourced here: https://github.com/google-research/circuit_training
The TF-Agents team replicated the RL training (with the corresponding teams' very deep collaboration) and open-sourced it here:
https://github.com/google-research/circuit_training
It pretty much gets the same results as found in the Nature paper.
The original codebase was heavily research-focused, used TF1, was impossible to run distributed training outside of Google's infra, and made it hard to try algorithms other than PPO. So it was reimplemented on top of TF2 and using some distributed training and collection technologies developed by the TF-Agents team at Google Brain and infra teams at DeepMind.
Everyone is welcome to poke at the training code and the model, and convince themselves that it does what it says on the box :)
- Circuit Training: A framework for generating chip floor plans with Deep RL
Killed by Google
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Apple Introduces M4 Chip
>Google operates in China albeit via their HK domain.
The Chinese government has access to the iCloud account of every Chinese Apple user.
>They also had project DragonFly if you remember.
Which never materialized.
>The lesser of two evils is that one company doesn’t try to actively profile me (in order for their ads business to be better) with every piece of data it can find and forces me to share all possible data with them.
Apple does targeted and non targeted advertising as well. Additionally, your carrier has likely sold all of the data they have on you. Apple was also sued for selling user data to ad networks. Odd for a Privacy First company to engage in things like that.
>Google is famously known to kill apps that are good and used by customers: https://killedbygoogle.com/
Google has been around for 26 years I believe. According to that link 60 apps were killed in that timeframe. According to your statement that Google kills an app a month that would leave you 252 apps short. Furthermore, the numbers would indicate that Google has killed 2.3 apps per year or .192 apps per month.
>As for the subpar apps: there is a massive difference between the network traffic when on the Home Screen between iOS and Android.
Not sure how that has anything to do with app quality, but if network traffic is your concern there's probably a lot more an Android user can do than an iOS user tp control or eliminate the traffic.
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Google Fit APIs get shut down in 2025, might break fitness devices
> This is proved by countless “killed by Google” incidents..
Oh, the Google's Graveyard: https://killedbygoogle.com/
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How I migrated from Firebase to Supabase
I was already starting to feel a little cornered in the whole Google ecosystem and a bit limited with stuff like backups, vendor lock in, etc. (and you always have the obvious hanging over your head) and ultimately, I think I just find the mental model of a SQL database more intuitive compared to a NoSQL database. So I thought to myself; "the longer I leave it, the harder it'll be to make the switch".
- With Vids, Google thinks it has the next big productivity tool for work
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Google Axion Processors, our new Arm-based CPUs
https://killedbygoogle.com/
Their reputation is deserved. Google domains was killed only last year!
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Google's Decision to Effectively Kill-off Small Sites
And this isn't even the first time I've been burned by Google's decisions. If you're familiar at all with the Google Graveyard, you'll know that Google has a long history of killing off products and services that people have come to rely on. This has happened to me a number of times, in both a personal and professional capacity, and frankly it's getting old.
- Google Scholar PDF Reader
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Calls grow for Sundar Pichai to step down from Google CEO position
Just because Google has a couple of decent services that you're willing to pay for doesn't detract from the fact that most of their products have a worse life expectancy than a victorian child in the 1800s. https://killedbygoogle.com
They ruined every single opportunity to be more than an advertising company since Orkut. With scrapped attempts, starts and lack of intention for most of the 2010s to even during the early half of the Pixel Era, they seemingly haven't learnt to stick to something and iterate on it well.
And the fact that over 50% of their revenues come from search and by extension, advertising.
The fact' that til this day, they still haven't evolved from the "throwing shit at the wall then at the fan" strat which explains how they have fumbled so much so quickly.
- Google's Gemini Headaches Spur $90B Selloff
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Our Company Is Doing So Well That You're All Fired
Yeah. The Google Graveyard really shows how far this can go.
https://killedbygoogle.com
The punchline is that in addition to hundreds of failed hobby projects, their stock is doing great. Monopoly power is a helluva drug.
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