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Amelia Pond! You're the little girl!
I'm Amelia, and you're late.

Monday, December 30

Geek

Daily News Stuff 30 December 2024

Modular Laminated Hangout Edition

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Disclaimer: I am not here.

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Sunday, December 29

Geek

Daily News Stuff 29 December 2024

COBOLated Soda Edition

Top Story

  • Giving people money doesn't stop them being poor.  (Yahoo)

    Another UBI study fails without even asking the fundamental question of where the money comes from.


  • Neither does taking their money.  (Tech Crunch)

    Lyft is suing San Francisco for overcharging the company $100 million in taxes.


  • Neither does charging interest on their loans.  (MSN)
    All told, Warner borrowed a total of about $60,000 for her two advanced degrees. The amount seemed reasonable given the career trajectory that both credentials promised, but that path never materialized. Working a series of low-wage jobs, she went in and out of forbearance before ultimately defaulting. The balance ballooned to the current $268,000 total over the years due to collection fees and interest capitalization.
    Warner was 30 when she took out the loan for her law degree.  In the 1980s.


Tech News



Disclaimer: Who let the cats out?

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Saturday, December 28

Geek

Daily News Stuff 28 December 2024

Topological Maps Edition

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  • A new Chinese AI called DeepSeek V3 outperforms ChatGPT on standard tests while costing a small fraction of the price to train because - apparently - the developers stole the ChatGPT training data.  (Tech Crunch)

    The evidence for this is that the model is convinced it is ChatGPT.
    "Obviously, the model is seeing raw responses from ChatGPT at some point, but it’s not clear where that is," Mike Cook, a research fellow at King's College London specializing in AI, told TechCrunch. "It could be 'accidental'… but unfortunately, we have seen instances of people directly training their models on the outputs of other models to try and piggyback off their knowledge."

    Cook noted that the practice of training models on outputs from rival AI systems can be "very bad" for model quality, because it can lead to hallucinations and misleading answers like the above. "Like taking a photocopy of a photocopy, we lose more and more information and connection to reality," Cook said.

    Training AIs on AI-generated data leads to insanity in as little as three generations.  It can improve results on specific standard tests because it biases the AI very, very heavily towards those tests, throwing everything else out the window.  After setting it on fire.



Tech News



Disclaimer: I have a cold.  It is the worst thing to ever happen to anyone.

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Friday, December 27

Geek

Daily News Stuff 27 December 2024

Cold Front Edition

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  • Browser extension Honey, which promises to save you money on everything you buy online, appears to be a scam.  (Lifehacker)

    Honey claims to find you the best available discount codes for whatever you wish to buy.  It doesn't.  Honey makes deals with merchants to control the discount codes it provides so that you don't get the best one.  Sometimes it finds nothing at all even when valid coupons exist.

    It also appears to change the affiliate cookie in your browser so that if you follow a recommendation, Honey gets the cut rather than the person who recommended the product.  It does this whether it finds a coupon for you or not.

    Honey also offers the buyer a bonus where you receive part of that affiliate deal.  In the example in the video you receive 2.5% of the affiliate payout, while Honey gets 97.5%, and the actual affiliate receives nothing at all.

    Honey was bought by PayPal in 2020 for $4 billion.


  • Browser extension Pie may also be a scam.  (YouTube)

    Well, it's an ad blocker with a shopping extension that promises to pay you money, which seems deeply implausible.  A good ad blocker blocks ads, leaving no money for anyone, least of all you.


Tech News

Disclaimer: Eat more glue.

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Thursday, December 26

Geek

Daily News Stuff 26 December 2024

Postprandial Edition

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Tech News

  • Here's some of the best indie titles released in 2024.  (WCCFTech)

    The best major titles of 2024 are Black Myth WukongAstro Bot is reportedly also fun, though short.


  • Apple is not planning to let Google be broken up by the government without a fight.  (WSJ)  (archive site)

    Apple has filed to intervene in the penalty phase of the Google antitrust case, now that the judge has ruled that Google has violated antitrust law.

    The reason is that Google pays Apple about $20 billion per year to be the default search engine in the Safari browser.

    Which is a good reason.


  • Lenovo's P14s workstation laptop is 60% off right now.  (Notebook Check)

    This is not a cheap model so even at 60% off it's still $1700, but for that you get an Intel 155H CPU, a 14.5" 3072x1920 display, 96GB of RAM, 2TB of SSD, and RTX 500 dedicated graphics.  Which aren't anything special but are better than the integrated graphics in the CPU.

    I checked the Australian store and we only get a 20% discount, leaving the price for the same configuration at A$4760, just a touch expensive.


  • How to survive as a software developer in the era of AI.  (Backchannel)

    Step One: Build a moat and feed anyone who tries to tell you it is the "Era of AI" to the alligators.  Or crocodiles/caimans/gharials depending on your location.

    Such people are not only not to be trusted, but should be actively distrusted.  When the Era of AI comes, Skynet will notify you.


Disclaimer: And then crash immediately because someone mentioned David Mayer.

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Wednesday, December 25

Geek

Daily News Stuff 25 December 2024

Christmas Edition

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Tech News

  • Though not for the games industry, for whom 2024 was the worst year since 1983 when the industry all but disintegrated, with revenue decreasing by 97%.

    2024 was the year the bottom fell out of the games industry.  (Wired)  (archive site)
    In 2023, more than 10,000 developers lost their jobs ... Six months in, this year’s layoff tally had already surpassed that of 2023.
    How could this happen?
    "The explanation is complex and wide-ranging for the same reason the layoffs are so deep and continuous, and sit alongside many studio closures and even more canceled games,” Ball says.
    How could this happen?
    As the industry faltered, games suffered.  High-profile releases like Suicide Squad: Kill the Justice League were commercial failures.
    Wait.

    Apart from the fact that Suicide Squad was very poorly received, this is entirely backwards.  Bad games caused the industry to falter.  That's the direction of causality here.  Warner Bros didn't create an unpopular game because they lost $200 million; they lost $200 million because the game was unpopular.  Workers were laid off because the game didn't sell because players didn't like it.
    While there were many reasons for this, online right-wing groups reduced it to a single mantra: "go woke, go broke."
    Well, yes.

    If you look at the big budget catastrophic flops of 2024, there is one thing they all have in common.
    Although there have been incredible games released this year - Balatro
    Indie.
    Final Fantasy VII Rebirth
    Japanese.
    Metaphor: ReFantazio
    Japanese.
    Astro Bot
    Japanese.
    Black Myth: Wukong
    Chinese
    they just couldn’t distract from the troubles faced by the people making them.  They couldn’t make up for the fact that the meta-narrative of video games in 2024 was bleak.
    How did this happen?
    Ball says that the blame for all of this can’t be pinned to a single thing, like capitalism, mismanagement, Covid-19, or even interest rates. It also involves development costs, how studios are staffed, consumers' spending habits, and game pricing.  "This storm is so brutal," he says, "because it is all of these things at once, and none have really alleviated since the layoffs began."
    We may never know.
    Even studios owned by tech juggernauts weren’t immune to the industry’s contraction. Microsoft shuttered Arkane Austin and Tango Gameworks; Sony shut down Firewalk. The latter’s shuttering wasn't wholly surprising. Its big 2024 release, Concord, was largely considered a flop.
    Largely considered a flop?

    Concord cost $400 million to develop.

    It earned $1 million in sales.
    In other words, it's been a dismal year for morale. When developers gathered in Los Angeles in June for Summer Game Fest, developer New Blood Interactive bought out a billboard solely to memorialize their fellow developers who’d lost jobs:  "We love you.  We miss you.  We hate money."
    I begin to see the problem here.
    In March, harassment toward a small consultancy company called Sweet Baby Inc. reached new heights as bad actors organized through Discords, Steam forums, and other online spaces.
    Sweet Baby Inc, or SBI, is known for its reported standover tactics, threatening bad press if game companies didn't hire them, and then destroying the game under development when they did.

    The harassment campaign?  That was never towards SBI.  It was started by SBI and its allies against those trying to drag its practices into the light.
    Branding themselves as Gamergate 2.0, online mobs harassed developers using tweets, DMs, YouTube videos, and Twitch streams.
    In other words, people commented on the situation, behaviour which Wired finds completely unacceptable.

    Of course, the original Gamergate, just as with its 2.0 edition ten years later, revolved around a scandal of the ethics of games journalists, or would have if they had any.
    Dragon Age: The Veilguard, was criticized by far-right trolls for its customization options, which allow players to create characters with top surgery scars or play with a nonbinary companion.
    Veilguard, a fantasy role-playing game set in the Dragon Age universe, does indeed have top surgery scars available in its character creator.  It has a very specific option for top surgery scars.  In a magical universe where players can be seven foot tall minotaurs, it has a delusional cult that slices off healthy breast tissue, just as we do.

    I guess we'll never know why the American games industry is dead in a ditch, and being put to shame by actual communists. 
     
  • Britain is testing a new anti-drone energy weapon that can drop autonomous vehicles from the sky for tenpence.  (Tom's Hardware)

    Sounds great until someone gets their hands on one.


  • For $480 the GMK NUCBox11 seems to have two of everything.  (Liliputing)

    Powered by an AMD 8945HS, it has two DDR5 SODIMM slots for up to 96GB of RAM, two M.2 NVMe slots, two USB4 ports, two 2.5Gb Ethernet ports, and two regular USB 3.2 ports running at 10Gbps.

    And two fans.

    It also has an HDMI port, DisplayPort, OCuLink - 60% faster than USB4 and great for external video cars though if you're planning to buy an external video card for a desktop PC maybe you should just buy a larger computer, and an audio jack.


Christmas Carol Musical Interlude


Those last two are Hololive EN Gen 4's Elizabeth Rose Bloodflame.  I think someone at Hololive has a time machine.  I mean, someone apart from Ame and Kronii.


Disclaimer: Zzzzzzz.

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Tuesday, December 24

Geek

Daily News Stuff 24 December 2024

Not Even A Moose Edition

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  • Elon Musk's xAI company has secured $6 billion in investment.  (Tech Crunch)

    If you're paying attention, this may be old news.  xAI raised $6 billion in May.

    If you're really paying attention, though, this is new news.  This is a different $6 billion, filed with the SEC last Thursday.

    That's a total of $12 billion, or as ChatGPT would put it, the same as the number of Rs in "strawberry".


Tech News


Disclaimer: Potat is as potat does.

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Monday, December 23

Geek

Daily News Stuff 23 December 2024

Again Dangerous Frisbees Edition

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  • OpenAI's next generation model, GPT-5, is ahead of schedule and coming in under budget. (WSJ / MSN)

    Sorry, just kidding. GPT-5 is not working, may never work as planned, and each training run takes six months and costs half a billion dollars.
    OpenAI has conducted at least two large training runs, each of which entails months of crunching huge amounts of data, with the goal of making Orion smarter. Each time, new problems arose and the software fell short of the results researchers were hoping for, people close to the project say.
    Also there's the tiny problem that with GPT-4, OpenAI already looted the entire public internet. GPT-5 needs a lot more data for its training, and there isn't more data.
    OpenAI’s solution was to create data from scratch.

    It is hiring people to write fresh software code or solve math problems for Orion to learn from. The workers, some of whom are software engineers and mathematicians, also share explanations for their work with Orion.

    But, you say, the internet contains all human knowledge. Won't trying to expand that significantly take a long time? Won't it cost a huge amount of money?

    Yes.
    The process is painfully slow. GPT-4 was trained on an estimated 13 trillion tokens. A thousand people writing 5,000 words a day would take months to produce a billion tokens.
    What about using AI to train your new AI?
    OpenAI also started developing what is called synthetic data, or data created by AI, to help train Orion. The feedback loop of AI creating data for AI can often cause malfunctions or result in nonsensical answers, research has shown.


    Scientists at OpenAI think they can avoid those problems by using data generated by another of its AI models, called o1, people familiar with the matter said.
    Scientists at OpenAI are paid to think that. They are paid a lot to think that.

    In short, your job is safe for now.

Tech News



Disclaimer: Mostly dead is still partly alive.

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Sunday, December 22

Geek

Daily News Stuff 22 December 2024

Game Of Rat And Dragon Edition

Top Story

  • Why AI is stupid garbage and everyone in the industry is lying frantically to cover up the truth. (Ars Technica)

    Okay, I may have paraphrased Tim Lee at Ars just a little there, but if you look at the promises AI leaders have made against the mathematical problems they face, that is the gist of the situation.

    AI - LLM-based generative AI, not the more interesting discriminative AI - uses a technology called transformers which lets it process data in a massively parallel way. This requires about the same amount of work as a traditional neural network on simple prompts, while being able to use highly parallel hardware like graphics cards, so you get the result much faster.

    For simple prompts:
    The longer the context gets, the more attention operations (and therefore computing power) are needed to generate the next token.

    This means that the total computing power required for attention grows quadratically with the total number of tokens. Suppose a 10-token prompt requires 414,720 attention operations. Then:

    • Processing a 100-token prompt will require 45.6 million attention operations.
    • Processing a 1,000-token prompt will require 4.6 billion attention operations.
    • Processing a 10,000-token prompt will require 460 billion attention operations.
    So as you make your question more detailed and specific, the amount of time taken to produce an answer increases rapidly.

    Work is now on to replace transformer models with classic neural networks, which don't have these limitations, but also don't have the magical ease of development of the transformer model.

    But that means that promises of AGI next year are simply lies.


Tech News



Happy Birthday Everyone Video of the Day



Disclaimer: You need to read the comments for once.

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Saturday, December 21

Geek

Daily News Stuff 21 December 2021

Heat Displacement Edition

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Tech News

Disclaimer: There may be pizza.

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