/tech/ - Technology

>>31484
How on earth is this better than just asking copilot for the fucking formula

>>31466
It's Randonautica all over again

Maybe this AI shit is not that bad

>>31490
That video basically boiled down to them admitting they:
1) rely heavily on search engines for research and would not know how to find indexes for stuff if they couldn't google shit.
2) use AI for tweening their animations, a thing 13 year old furries can do easily for AMVs with a mere speck of their budget.

>>31491
Bill Gates be like "money well spent"

artificial superintelligence is coming any day now guys

Why are hands still so fucky? Here is what I would do: Make a bespoke program that generates millions of pics of polygonal hands with 4, 5, 6 fingers (with thin and fat, hairy etc. variants) at various angles and with different FOV. Each picture is generated twice, once with normal colors and once with a shader that gives each finger a distinct color, so we know for sure how many fingers are visible in the picture with a simple automatic check of visible pixel colors. The pictures that got an agreement from both the generator program and the pixel check are then used for training and testing.

>>31496
>"""AI""" is the new super-intelligence
>ok maybe it's not super-intelligent but """agentic""" AI is out there right now doing people's jobs better than them!
>ok maybe it can't replace you at your job, but "a person using AI" will absolutely produce bettwer work than one not using it, so pplease buy our Premium Pro(tm) plan with first 200 prompts free!
>ok maybe it's not causing a productivity explosion, maybe all the money pumped into it is a speculative bubble, but after the bubble pops we will be left with all this great AI tech and 40 terawatt of datacentre """compute capacity""", just like the dot-com bubble left behind the building blocks of the social internet!
—————- we are here ——————-

>>31501
I've got an industrial cooler shipping and looking at Huawei and Zhaoxin compute

Why America Builds AI Girlfriends and China Makes AI Boyfriends

https://www.chinatalk.media/p/why-america-builds-ai-girlfriends?

<Zilan Qian is a fellow at the Oxford China Policy Lab and an MSc student at the Oxford Internet Institute.

>On September 11, the U.S. Federal Trade Commission launched an inquiry into seven tech companies that make AI chatbot companion products, including Meta, OpenAI, and Character AI, over concerns that AI chatbots may prompt users, “especially children and teens,” to trust them and form unhealthy dependencies.

>Four days later, China published its AI Safety Governance Framework 2.0, explicitly listing “addiction and dependence on anthropomorphized interaction (拟人化交互的沉迷依赖)” among its top ethical risks, even above concerns about AI loss of control. Interestingly, directly following the addiction risk is the risk of “challenging existing social order (挑战现行社会秩序),” including traditional “views on childbirth (生育观).”

>What makes AI chatbot interaction so concerning? Why is the U.S. more worried about child interaction, whereas the Chinese government views AI companions as a threat to family-making and childbearing? The answer lies in how different societies build different types of AI companions, which then create distinct societal risks. Drawing from an original market scan of 110 global AI companion platforms and analysis of China’s domestic market, I explore here shows how similar AI technologies produce vastly different companion experiences—American AI girlfriends versus Chinese AI boyfriends—when shaped by cultural values, regulatory frameworks, and geopolitical tensions.

>>31512
>A recent Reuters-covered report from an AI girlfriend platform further supports our findings: 50% of young men prefer dating AI partners due to fear of rejection, and 31% of U.S. men aged 18–30 already chat with AI girlfriends. Behind the fear of human rejection lies the manosphere. The “manosphere” is a network of online forums, influencers, and subcultures centered on men’s issues, which has become increasingly popular among young men and boys as their go-to place for advice on approaching intimacy. While the manosphere originated primarily in Western contexts, its discourses have increasingly spread to, and been adapted within, countries across Africa and Asia through social media. In these online spaces, frustrations over dating and shifting gender norms are common, often coupled with narratives portraying women as unreliable or rejecting. AI companions offer a controllable, judgment-free alternative to real-life relationships, aligning with manosphere ideals of feminine compliance and emotional availability. On the subreddit r/MensRights (374k members), users largely endorse the findings of the Reuters report and even celebrate the shift from human to AI relationships.

Is being rejected by a girl really that bad

>>31513
yeah

>>31513
>Is being rejected by a girl really that bad
Why do women never approach men?

>>31513

The lengths men will go to avoid seeing a therapist.

seeing as my inbox is slowly coming out of stasis with fresh vacancies, I guess this is becoming a common sentiment? it's too bad the entire industry will implode by the time managers realize LLMs are not that useful things.

>>31470
On Twitter, and Again, Twitter is 80 percent bots anyway.

>>31479
Besides I only use Sora 2 for dumb meme videos I generate for friends and don't really share them across my main accounts,

>>31522
LLMs work great one brave manager tried replacing himself with one as an experiment and found that it did a better job than he did

>>31525
I mean a spreadsheet can do the samething without the random chance of getting bad advice.

>>31529
But then it wouldn't be a manager 🙄

>>31525
middle managers are mostly there to have someone to blame when projects go awry, their roles are representative in the same way a king is a representative role. they never did any work. if managers are brave enough to completely outsource all their decision making then more power to them, i admire that sort of lazy cynisim.

>>31533
That's what their job is supposed to be, what their actual job is tends to be claiming credit and avoiding blame

Can definitely replace that with an LLM, much cheaper

>>31534
I mean LLMs do pretend to take the blame when pressed to please the user so in that regard theyre definitely different than a manager lmao

>>31530
With a bit of fiddling with kimi I've figured out you don't even really need a spreadsheet, just an XSLT + XML setup like how people on neocities style their RSS feeds.

Below is a “translation table” that shows the most common things a conventional line-manager does, why those things are still necessary in a workers’-co-operative, and how you can satisfy the same need with nothing more than plain XML files plus XSLT 3.0 stylesheets (i.e. no proprietary software, no central database, no single point of control).

The idea is that every worker owns the same git repository; the XML files are the single source of truth; XSLT is run locally or in CI to produce the HTML, PDF, iCal, CSV, etc. that people actually read.  “Replacing the manager” really means “replacing the manager’s secret filing cabinet with transparent, version-controlled XML that anybody can transform”.

---

1. Job-description catalogue

---

Manager’s habit: keep a private spreadsheet “who is supposed to do what”.

Co-op XML

```
<roles>
  <role id="washing-machines" recurring="true">
    <title>Weekly washing-machine deep-clean</title>
    <description>Disassemble filter, run 90 °C cycle with vinegar…</description>
    <skills>plumbing</skills>
    <time>
      <hours>1.5</hours>
      <frequency>weekly</frequency>
    </time>
  </role>
</roles>
```

XSLT use-cases
- Produce a one-page HTML “role cards” site.  
- Generate a LaTeX PDF for the member handbook.  
- Auto-create a Kanban card (XML → JSON → Trello API) when somebody volunteers.

---

2. Recording who volunteered for what

---

Manager’s habit: assign people.

Co-op XML

```
<rota>
  <shift role="washing-machines" week="2025-W42">
    <volunteer id="sam"/>
  </shift>
</rota>
```

XSLT
- List unstaffed shifts (empty `<shift>`).  
- Export an iCal file that volunteers can subscribe to.  
- Produce a fairness report: count how many hours each `@id` has done this quarter.

---

3. Holiday / absence requests

---

Manager’s habit: approve or deny.

Co-op XML

```
<absence-request id="req-12">
  <member id="alex"/>
  <from>2025-11-04</from>
  <to>2025-11-08</to>
  <status>pending</status>
</absence-request>
```

XSLT
- Generate an HTML form (pre-filled with remaining allowance pulled from `<member><allowance>25</allowance></member>`).  
- Auto-email the collective when a request would leave a shift uncovered.  
- After merge, re-run rota XSLT to highlight clashes.

---

4. Performance & peer-feedback

---

Manager’s habit: annual appraisal.

Co-op XML

```
<feedback year="2025" about="sam" by="lee">
  <strengths>Always documents procedures in the wiki.</strengths>
  <improve>Could ask for help earlier when stuck.</improve>
  <rating type="1-to-5">4</rating>
</feedback>
```

XSLT
- Aggregate into a private HTML dossier for the member.  
- Produce an anonymised heat-map (skills × ratings) to guide training budget.  
- Generate a printable PDF for the general assembly if the member requests dismissal procedure.

---

5. Skill matrix & training needs

---

Manager’s habit: decide who gets sent on a course.

Co-op XML

```
<skills>
  <member id="sam">
    <skill name="plumbing" level="3"/>
    <skill name="book-keeping" level="1" wantsImprovement="true"/>
  </member>
</skills>
```

XSLT
- List members who can mentor in plumbing (level ≥ 3).  
- Produce a CSV for the training-provider: “book-keeping for beginners, 4 seats needed”.  
- Automatic e-mail when the last person with level ≥ 2 in a critical skill announces departure.

---

6. Budget & wage transparency

---

Manager’s habit: keep salaries secret.

Co-op XML

```
<budget year="2025">
  <line item="wages" amount="240000"/>
  <line item="training" amount="12000"/>
</budget>
<wage-grid>
  <hourly rate="17.50" category="starter"/>
  <hourly rate="21.00" category="experienced"/>
</wage-grid>
```

XSLT
- Public HTML “where the money goes” page.  
- PDF ready for the statutory workers’-co-op audit.  
- CSV export for the accountant’s proprietary package.

---

7. One-to-one meeting notes

---

Manager’s habit: private notebook.

Co-op XML

```
<1to1 id="sam-lee-20251013">
  <participant id="sam"/>
  <participant id="lee"/>
  <agreed>Update the washing-machine SOP by 2025-10-20.</agreed>
</1to1>
```

XSLT
- Produce a single HTML page per member with all open agreed actions.  
- Generate a weekly “open actions” e-mail digest.

---

8. Conflict / grievance log

---

Manager’s habit: HR file in locked drawer.

Co-op XML

```
<grievance id="griev-03">
  <raised by="alex" date="2025-09-30"/>
  <against id="sam"/>
  <status>mediation-scheduled</status>
</grievance>
```

XSLT
- Anonymised statistics for the quarterly assembly.  
- Checklist export (PDF) for the external mediator.

---

9. Strategic OKRs / KPIs

---

Manager’s habit: top-down objectives.

Co-op XML

```
<okrs quarter="Q4-2025">
  <objective id="energy">
    <title>Reduce electricity use by 10 %</title>
    <kr unit="kWh">9000</kr>
  </objective>
</okrs>
```

XSLT
- Traffic-light dashboard (XML → SVG) on the intranet.  
- Auto-tweet when a key-result is 100 % achieved (XSLT → JSON → Mastodon API).

---

10. Decision log & consent

---

Manager’s habit: “because I said so”.

Co-op XML

```
<decision id="dec-55" date="2025-10-13">
  <proposal>Adopt a four-day week</proposal>
  <consent given-by="sam lee alex"/>
  <stand-aside id="jordan"/>
</decision>
```

XSLT
- Chronological HTML “decision book”.  
- Atom feed so members can watch for new decisions in their feed-reader.

---

How to run it in practice

1. Git repository `coop-xml` with top-level folders:

   `/roles` `/rota` `/budget` `/people` `/decisions` … each containing small, human-editable XML files.

2. A 20-line `Makefile` or GitHub Action:  
   
```
   saxon -xsl:build/site.xsl -s:index.xml -o:public/index.html
   saxon -xsl:build/ical.xsl -s:rota/ -o:public/rota.ics
   ```

   Every push re-renders the whole static site.

3. Access control:  
   - Public parts (wage grid, decisions) are rendered to the public site.  
   - Sensitive files (feedback, grievances) are encrypted with `git-crypt` or stored in a private repo that only members can clone.

4. Conflict resolution:

   Merge conflicts in XML are resolved with the usual git tools; because each file is small the probability is low.  A pre-commit hook validates against a Relax-NG schema so broken XML never reaches `main`.

---

What you have gained

- No single person can silently change the rota or the wage grid: every change is a merge-request.  
- Any member can write a new XSLT stylesheet (e.g. “notify me by SMS when the washing-machine shift is still empty 24 h ahead”) without asking permission.  
- When the co-op hires an external auditor you just hand over the XML and the agreed XSLT; the auditor can reproduce every published figure.  
- If the co-op dissolves, the entire administrative history is in plain text, readable in 50 years.

In short: the manager’s power came from exclusive access to information; XML plus XSLT turns that information into a common, transformable resource, so the managerial function dissolves into transparent, collectively controlled data flows.

Also wow kimi overuses horisontal rules

>>31535
That can be fixed with a bit of fine tuning
Thinking about it even with that tuning I'd still prefer having an LLM as a manager than your average manager

>>31536
Looks good after a quick eyeball 👍

>>31536
LGTM, merged

My own personal pale horse for AI was when they started circling back to the idea of porn generation. The reason why they steered clear is because it opens a gigantic can of worms, some ideological (it is well known that the paypal mafia and big tech in general is incredibly sex-averse), some are legal liabilities around generated CSAM, and some just branding issues (an professional office utility tool that also talks dirty to you? lmao). Another issue is that it's incredibly hard to have a monopoly on virtual sexbots: replika has existed since fucking forever because sex models are somewhat cheap. You don't even need vidgen, just slap some shitty 3D anime girl on top of all conversations. So it's definitely a desperate move to make, high risk for limited return, but it's also the only venue that actually has provable demand.

>>31549
It's afraid.

>>31562
>Party A are ideologues
>So you think party B aren't? Just see what the twitter version of party B are like.
Touch 🖐️ Digital 💾 Grass 🌱🌿🍃

>>31549
>trillions wasted in massive datacentres
>gigatons of carbon spewed into the atmosphere
>the entire industry in a financial bubble bigger than there has ever existed before
all in search of the perfect coooooom!

i'm so proud of humanity.

Alice video on AI in academia

AI markets are already saturated lmao, no growth to be seen

What is the possibility of biological agi? Im mostly convinced that machine agi may not happen due to the extreme difference between silicone and biology but what about the biological method? Would organic computers bridge the gap enough to the point agi could be possible

>>31572
I mean at that point you just want an autistic kid that knows VIM

ai video gen economics are nonsense if you think about them, sora 2 generates a video for a user, said user reposts it on tiktok, insta and xitter, monetizes it, and gets a marginal cut. hosting costs are pennis on the dollars for a social network, but generation price is like 5 dollars at least per video (in the unlikely event the video was created in one shot, most likely it's significantly more expensive because the user kept cranking the lever to get something acceptable), so in essence openAI is subsidizing meta and tiktok, no wonder theyre so invested in making their own social network. so in the near future they're not going to let users download AI generated content, it'll have to be posted in the same place it was generated, because social media is technically funneling money away from AI providers.

>>31585
No way inference is that expensive unless your amortizing training costs into it.

<OpenAI, the company behind ChatGPT, released their own browser called Atlas, and it actually is something new: the first browser that actively fights against the web.
https://www.anildash.com//2025/10/22/atlas-anti-web-browser/
This is a lovely article.
<When I first got Atlas up and running, I tried giving it the easiest and most obvious tasks I could possibly give it. I looked up "Taylor Swift showgirl" to see if it would give me links to videos or playlists to watch or listen to the most popular music on the charts right now; this has to be just about the easiest possible prompt.

<The results that came back looked like a web page, but they weren't. Instead, what I got was something closer to a last-minute book report written by a kid who had mostly plagiarized Wikipedia. The response mentioned some basic biographical information and had a few photos. Now we know that AI tools are prone to this kind of confabulation, but this is new, because it felt like I was in a web browser, typing into a search box on the Internet. And here's what was most notable: there was no link to her website.
And it gets worse from there.

Musk launches Grokipedia! Hooray!
<My Grokipedia entry has over seven thousand words, compared to a mere 1,300 in my Wikipedia article. It’s pretty clear how it was generated; an LLM, trained on who-knows-what but definitely including that Wikipedia article and this blog, was told to go nuts.
Doesn't that sound amazing?
<Every paragraph contains significant errors.
https://www.tbray.org/ongoing/When/202x/2025/10/28/Grokipedia

youtube is automatically adding an AI filter to creators' videos without their consent which causes glitches that can trigger epilepsy

are you ready to hold sam altman's bags?

>>31629
you will have to, every bubble ends the same way, with taxpayers holding the bag.

> ctrl f “organic composition”
> 0 results

I thought this board was a pseudo marx board was i mistaken

>>31658
What relevance does that keyphrase have here?

>>31658
i looked into it, is it really relevant? i feel AI is different to any other investment in constant capital because what it does is so nebulous to begin with, illuminate us wise man

btw looking good for OAI

Every fucking creative writing store online is just chatGPT now. I mean it's literally all AI. No idea how anyone can bear to read this, it's so tedious.

>>31549
OAI doesn't know what it's doing. I think this is obvious, and I do think a lot of people are noticing and asking this question, what exactly, this is for.

The smut generator is one thing. But Sora is another one that is actually much larger. Why even make this app? Literally nobody asked for it.

Keep in mind this isn't generic video generation upgrade. Sora is engineered to to make "viral videos". e.g. a slop generator. Rather than locking users in, it's just ruined the rest of the ecosystem and demolished trust and devalued creativity. That's putting aside how badly it's damaged the internet as an ability to learn. It's now at the point where nature videos, something I used to profoundly enjoy, learning about animal, has been severely poisoned with fake videos that I no longer can be sure if anything is real, because nature is often very surprising and unbelievable in reality.

>>31566
It will probably contract because I would expect, from personal experience, that both businesses and consumers are paying for multiple services and are likely to just choose one. Makes no sense to pay for Claude + Windsurf + Cursor + whatever like many are doing.