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acc_297

626 karma · joined April 8, 2022

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acc_297··on Trump races to fix a big mistake: DOGE fired too many people
It continues to seem like this administration sets out to achieve 200% of each objective so that they can retreat to a position where they have attained 90 or even 100% of their original plan after a series of court decisions and popular backlash.

Every institution which could in theory check executive overreach is either already captured by ideological allies or is completely overwhelmed.

acc_297··on Trump races to fix a big mistake: DOGE fired too many people
https://archive.ph/Nxiaw
acc_297··on Plutonium Mountain: The 17-year mission to guard remains of Soviet nuclear tests (2013)
Funny anecdote from the full article

"Equipment provided by Raytheon as part of a multi-million dollar contract broke the winter after it was installed. One U.S. official said most of the detectors had been designed by Raytheon for the desert environment of the U.S.-Mexican border. The Kazakhs, on their own initiative, sourced equipment designed to withstand Siberian winters from a Russian military supplier; it cost half the amount of the U.S. contract, and easily survived the winter."

acc_297··on Show HN: Meteosource – Hyper-local weather API based on improved ML models
The weather underground started as a passion project (both weather undergrounds did actually) and it's become one of the most trusted internet sources for weather.

Good luck!

acc_297··on Empire of office workers strikes back against RTO mandates
It really depends, many workers actually hold better cards than their employers. Outside of fortune 500 economy-driving institutions like Amazon or JP Morgan there are smaller companies with "lynchpin" employees or teams with the practical authority to set the terms of their contract within reason. RTO is almost never mission critical and it can come with a very high cost measured in lost institutional knowledge.
acc_297··on Trying to teach in the age of the AI homework machine
One of the last courses I took during my CS degree we had one on one 10 minute zoom calls with TAs who would ask a series of random detailed questions about any line of code in any file of our term project. It was easy to complete if you wrote the code by hand and I imagine would have been difficult for students who extensively cheated.

In terms of creative writing I think we need to accept that any proper assessment will require a short essay to be written in person. Especially at the high school level there's no reason why a 12th grade student should be passing english class if they can't write something half-decent in 90 minutes. And it doesn't need to be pen and paper - I'm sure there are ways to lock a chromebook into some kind of notepad software that lacks writing assistance.

Education should not be thought of as solely a pathway to employment it's about making sure people are competent enough to interface with most of society and to participate in our broader culture. It's literally an exercise in enlightenment - we want students to have original insights about history, culture, science, and art. It is crucial to produce people who are pleasant to be around and who are interesting to talk to - otherwise what's the point?

acc_297··on BGP handling bug causes widespread internet routing instability
My undergrad networks course discussed a little BGP stuff but only on the blackboard.

To experiment with BGP you could use a network simulator like what the author of this blog did. In my class we used something called gini[1] which I think my profs grad student wrote but the author apparently used gns3 which seems to be a cisco specific ns3 version. I used ns3 once and found it had a steep learning curve. The gini simulator has a more basic user interface but is probably less powerful.

[1] https://citelab.github.io/gini5/ [2] https://docs.gns3.com/docs/

acc_297··on Questioning Representational Optimism in Deep Learning
I don't completely agree - I think it's not about GPT-3 failing to generalize word puzzle solutions it's about the type of minimized solution that gradient descent algorithms find which will produce overwhelmingly correct outputs but may lack a useful internal organization of the semantics of the training set which may or may not translate into poor model performance on out-of-sample inputs.

It's hard to say that there is no internal organization since trillion parameter models are hard for us to summarize and we do see some semantic vector alignment in the GPT models but the toy example of the 2 skull image generator present a powerful anecdote of how current ML models find correct solutions but miss a potentially valuable property of having what the paper calls factored representation which seems to be the far more "human" way to reason about data.

acc_297··on Questioning Representational Optimism in Deep Learning
> how this will affect my everyday uses of LLMs for coding

It won't - that's not what this paper is about.

acc_297··on Questioning Representational Optimism in Deep Learning
This is an interesting paper. It's nice to see AI research addressing some of the implied assumptions that compute-scale focused initiatives are relying on.

A lot of the headline advancements in AI place lots of emphasis on model size and training dataset size. These numbers always make it into abstracts and press releases and especially for LLMs even cursory investigation into how outputs are derived from inputs through different parts of the model is completely waved off with vague language along the lines of manifold hypothesis or semantic vectors.

This section stands out: "However, order cannot be everything—humans seem to be capable of intentionally reorganizing information through reanalysis or recompression, without the need for additional input data, all in an attempt to smooth out [Fractured Entangled Representation]. It is like having two different maps of the same place that overlap and suddenly realizing they are actually the same place. While clearly it is possible to change the internal representation of LLMs through further training, this kind of active and intentional representational revision has no clear analog in LLMs today."

acc_297··on Solving physics-based initial value problems with unsupervised machine learning
Today this front page post has a companion front page post probably worth reading in tandem:

https://news.ycombinator.com/item?id=44037941

acc_297··on The behavior of LLMs in hiring decisions: Systemic biases in candidate selection
The last graph is the most telling evidence that our current "general" models are pretty bad at any specific task all models tested are 15% more likely to pick the candidate presented first in the prompt all else being equal.

This quote sums it up perfectly, the worst part is not the bias it's the false articulation of a grounded decision.

"In this context, LLMs do not appear to act rationally. Instead, they generate articulate responses that may superficially seem logically sound but ultimately lack grounding in principled reasoning."

I know some smart people who are convinced by LLM outputs in the way they can be convinced by a knowledgeable colleague.

The model is usually good about showing its work but this should be thought of as an over-fitting problem especially if the prompt requested that a subjective decision be made.

People need to realize that the current LLM interfaces will always sound incredibly reasonable even if the policy prescription it selects was a coin toss.

acc_297··on I Don't Like NumPy
There's also the fantastic "tidytable" library. I wouldn't want to implement multi-headed self attention in either of those libraries though.

I've done only very simple ML stuff using R and it never feels like exactly the right tool.

acc_297··on Our narrative prison
For sure I mean he certainly wanted to access the subscriber base he built up. And he has made some commitments to do a few series on 20th century revolutions once he's done with this project so check back in a few months there should be more non-fiction series.
acc_297··on Our narrative prison
Related comment - Mike Duncan who made a name for himself doing long form multi episode history podcasts recently produced a fiction project of the false history of a class revolution on mars ~200 years in the future that is told through the lens of long form multi episode history podcast from a narrator in the distant future.

It's pretty good considering it is his first not-non-fiction project and the narrative is a refreshing departure from typical sci-fi stories since it's written to sound like a true history with too many important figures to remember and historically disputed causes and effects of pivotal events.

The story doesn't not follow the conflict-rising-climax-resolution structure but it often refutes a listener's anticipation of satisfying narrative elements like true history many loose ends remain loose and plenty of important characters "disappear from the records" which leaves one wondering.

It's certainly unlike any fiction I had consumed prior and it's pretty good imo so I'm shining a light on it here.

acc_297··on Widespread power outage in Spain and Portugal
You require inertia in the grid to maintain frequency and other stability stuff.

Solar PV is great but is mostly grid-following so cannot operate on it's own. As I understand it you need a minimum fraction of power generation to be large spinning turbines.

I think this problem can be mitigated with add-on rotational mass style kinetic energy batteries or something like that. I don't think variable energy pricing will help if it's an issue with over-demand the grid managers can do rolling blackouts to manage while fixing the supply problems. The grid is just broken at the moment and the solar can't maintain the grid alone.

https://en.wikipedia.org/wiki/Inverter-based_resource

acc_297··on 'Unstoppable force' of solar power propels world to 40% clean electricity
The greenery in question appears to be a tidal estuary (but I'm not 100% sure) and it also appears to be close to the downtown center of a city of 4 million people who all need some amount of electricity to live their daily lives. The ecosystem of the body of water on which these panels are installed is I would imagine relatively undisturbed by the solar PV - it's a question of aesthetics whether or not this habitat has been degraded.

My feeling is that these over-water panels generating a not-insignificant amount of power are an ideal compromise between the sprawl of the built environment of (Taizhou, China) and the natural ecosystem.

acc_297··on 'Unstoppable force' of solar power propels world to 40% clean electricity
I believe that the installation in that picture and a number of other installations in the Taizhou region are built over a river system or some kind of tidal water reservoir I was unable to find the exact area but [1] is a nearby installation.

Land use is a large contributing factor to climate change but this particular image seems to be the best case scenario for large solar installation the ecosystem (marshland?) appears to be relatively undisturbed (also considering it is centrally located in a city of 4 million people solar panels or not it seems pretty lush). And I'll parrot an often cited statistic: "the entire U.S. could be powered by utility-scale solar occupying just 0.6% of the nation’s land mass" this (imo) makes a good case for solar PV as a relatively large chunk of installed grid capacity it just seems like a better compromise than the alternatives.

If utility scale battery storage ever pans out (that or UHV transmission or both) then we could see renewable sources like solar+wind actually work as base-load capacity.

Others also comment on this thread that converted agricultural land (i.e. field to pasture) meshes well with solar PV installation the plants typically do not need full sun. I would guess that a small percentage of installed solar required any kind of land shaping or clearing although it does happen [2].

[1] https://www.scientificamerican.com/article/china-invests-546...

[2] https://www.cmigroupinc.ca/solar-farm-environmental-impact-b...

acc_297··on Hyundai to buy 'thousands' of Boston Dynamics robots
I imagine anything that actually is used in a factory environment to not look as humanoid as the press photos (especially the head there's no point in having that top appendage which does nothing but remind the reader of star wars) and also have a beefy power-cable suspended from the ceiling.
acc_297··on Photo calorie app Cal AI was built by two teenagers
If so then what a colossal waste of our planetary carbon budget. I don't know what the backend on this app is (maybe it was done properly i really hope so) but surely there is a solution which maintains or surpasses the accuracy of an LLM and uses <1% of the compute resources.

Like a small vision model combined with the size/measurements data from the AR sensors modern phones come with and an open source caloric values database should achieve the 90% accuracy they are claiming.

Ronald Wright writes about "progress traps" in A Short History of Progress. It's been awhile since I read that but I think about it more and more these days with AI products on the rise.

acc_297··on A number of electric vehicle, battery factories are being canceled
Others are pointing this out but for anyone curious Tesla has received a tonne of indirect subsidy via electric vehicle sales incentives on the consumer side of the equation which absolutely translates into increased corporate profits. Across the globe EV sales in developed nations are very boosted via government programs ((which is a good thing imo)). I'll just link a wikipedia page[1] since I don't want to find a solid source but this isn't really debated it's the real world effect of laws and bills passed by the US gov and dozens of other countries around the world and has been extensively studied.

[1] https://en.wikipedia.org/wiki/Government_incentives_for_plug...

acc_297··on Microsoft Pulls Back on Data Centers from Chicago to Jakarta
Pretty funny to find this at the top of the article.

"The company's pullback on data center projects has raised concerns about demand for AI services and has weighed on global tech stocks, particularly chipmakers like Nvidia.

Summary by Bloomberg AI"

acc_297··on [dead]
Paul Krugman had some commentary on this

https://paulkrugman.substack.com/p/will-careless-stupidity-k...

acc_297··on Hackers stole billions in crypto to keep North Korea’s regime afloat
There is a certain Bitcoin evangelist who will preach the gospel of a self governing currency that via a system of rules will automatically validate transactions between trust-less parties in a decentralized manner over a globe-spanning internet protocol but then complain when that same system does not prevent them from accidentally sending the entire contents of their "wallet" to an address in North Korea.

The system does not represent ownership the system only tracks of the validity of transactions and if the North Korean government proposes a valid transaction of your BTC or ETH to an address they control and a mining-node includes that transaction in a block which a majority of the network accepts then those assets are no longer yours they belong to North Korea.

The properties of the crypto-asset ecosystem which allow it to be ungoverned also make it ungovernable.

acc_297··on A small violin part highlights bigger problems for the global economy
"Canadian tariffs" doesn't mean anything please specify on which goods you are referring to. (e.g. lumber, dairy etc...)

The American government is proposing across the board on every import (>=$800 or something) tariffs which has never been implemented by the Canadian government on American goods.

Canada is highly protective of certain industries which are typically small and are engaged in by a large voting population but small portion of the economy (GDP). As a percentage of total goods that American companies might actually want to export to Canada import tariffs are typically quite low.

acc_297··on US Marines to get high-speed, radar-evading electric seagliders for rescue ops
Thanks for sharing, I honestly wish this company the best electric planes are a hard problem to solve and it's good to see anyone making an honest effort.

However to poke just a little fun this line stands out as a hilarious marketing claim that cannot possibly be true

"Almost all (98%) of UAE coastal residents are interested in riding a seaglider, according to our global consumer survey."

It's also interesting to note that the CEO has appeared on no fewer than 13 different podcasts between mid-2022 and last week which is I suppose how one would go about getting a high value US defence contract these days.

acc_297··on US Marines to get high-speed, radar-evading electric seagliders for rescue ops
From the wiki I take it they have yet to build and fly a full-sized prototype

"A 1/4 scale model was successfully demonstrated in 2022 in Narragansett Bay"[1]

Also I assume radar-proof is just because it's a ground effect vehicle that will never fly high enough to show up on radar it certainly doesn't look all angular like a stealth bomber. In which case my bicycle is also radar-proof?

[1] https://en.wikipedia.org/wiki/REGENT_Viceroy

acc_297··on MLB says Yankees’ new “torpedo bats” are legal and likely coming
Some are saying it’s about the center of mass being closer to the point of contact

I’m not an expert but I think it has more to too with reducing vibrations along the bat and increasing the efficiency of energy transfer

Again not an expert

acc_297··on B-2 Spirit Stealth Bombers Begin Unannounced Deployment to Diego Garcia
I'm only just learning about this outfit "Sentinel" and I'm not exactly sure how seriously to take them but this line is pretty funny

"On the other hand, we are also mindful of the low baserate for a US administration directly attacking Iran. We also considered modelling the administration as being dispositionally very over the top."

acc_297··on A love letter to the CSV format
Working in clinical trial data processing I receive data in 1 of 3 formats: csv, sas datasets, image scans of pdf pages showing spreadsheets

Of these 3 options sas datasets are my preference but I'll immediately convert to csv or excel, csv is a close 2nd once you confirm the quoting / seperator conventions it's very easy to parse. I understand why someone may find the csv format disagreeable but in my experience the alternatives can be so much worse I don't worry too much about csv files

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