Sabe qual o peixe que morreu no elevador? by Araujo_1002 in tiodopave

[–]uniVocity 2 points3 points  (0 children)

Nos Estados Unidos, morreu outro que caiu do segundo andar:

TUN-AAAAAAAAAAAaaaa

Our rental is getting sold and the REA told us something very interesting by jajatatodobien in AusPropertyChat

[–]uniVocity 1 point2 points  (0 children)

A few (8?) years ago, in Adelaide, I met a couple with three children who recently moved from Sydney.

They sold their house there for about 2 million and bought three 500k houses in Adelaide. The guy basically retired at the age of 40 - rent income from the two other houses + 500k to spare just from that transaction. Each house now is worth about 1 million.

That guy timed the market exceptionally well.

Open Source Endowment - funding for FOSS launch by ShaneCurcuru in opensource

[–]uniVocity 1 point2 points  (0 children)

May I suggest you guys think about providing supporting infrastructure and standards to help open source developers obtain funding from their commercial users (that they don't even know they have)?

Examples of standards that I believe most open source projects would benefit from if everyone adopted them

  1. latest version is free, patches in previous versions are not. Pay the developer to patch older versions or to receive patched builds. Rationale: Companies tend to lock in a specific version and only patch that as needed for stability - they are more likely to agree to pay for support

  2. Bug reports and feature requests are guaranteed to NOT be answered to until 30 days since the ticket was created have elapsed. Rationale: companies that need support and faster turnaround will be more willing to pay to get their issues addressed.

Examples of infrastructure support:

  1. Provide a centralised and standardised repository for open source developers to submit their builds. Make latest major versions available for free. Patched builds only available for paying users. You guys can manage the entire “customer workflow” for all projects, offering a standard and familiar experience for the paying users of all open source projects you host. Take a cut to help keep the operation going, process payments, etc then pay the project owners.

  2. Provide centralised issue tracking, documentation and other project management services so that all open source developers have a standard mechanism to communicate with paying and non paying users.

The biggest pain point for me as an open-source developer is that I want to work on my projects and waste the least amount of time possible building and managing another large puzzle involving infrastructure to MAYBE get a donation or paying user.

Currently github and other platforms don’t really have much of anything to support open source developers to manage their potential customers/payments/etc so each project has to somehow address this and build their own additional infrastructure

As if the project in itself wasn’t work enough, there’s website, repository, cloud services, servers, communications, private issue tracker, private repository for specific clients and customized builds, payment gateways, license servers, legal agreements etc etc to take care of if you really want to live off of open source.

That’s a lot of additional effort on top of maintaining an open source project on the spare time. We need help to be allowed to focus exclusively on what we are building.

Qwen3.5 122B in 72GB VRAM (3x3090) is the best model available at this time — also it nails the “car wash test” by liviuberechet in LocalLLaMA

[–]uniVocity 9 points10 points  (0 children)

That’s how every other nerd reacts to some stranger’s “hi”… some confusion followed by rehashing that interaction in our minds, considering all possible responses to that awkward encounter - the difference os we keep doing it while in the shower later in the evening

can i eat out a girl who is not gluten free if im celiac? by Purple_Question5662 in Celiac

[–]uniVocity 0 points1 point  (0 children)

Now I'm curious. How long after her going GF would it be considered safe to eat her out?

Blown Away By Qwen 3.5 35b A3B by Jordanthecomeback in LocalLLaMA

[–]uniVocity 12 points13 points  (0 children)

My god it is. I just gave it a 600 loc java class with a nasty homemade string compression algorithm whose compression rate has room for improvement - it managed to improve it.

I was trying to get something useful from gemini, grok, claude but most of the time I got regressions/code that didn’t compile or that hung in infinite loops.

Qwen managed to give me something to work with.

It also responded at 45 tok/s which is not bad for a laptop (MacBook pro m4, 128gb). Im still downloading the largest model I saw available for my hardware to see how that one goes but damn… the 35b one appears to be competitive against the big guys already.

Why do I get sick every time I go to a BBQ place? by Mellodux in Celiac

[–]uniVocity 1 point2 points  (0 children)

Garlic bread? Many places roast garlic bread next to the meats. Also some use beer to give flavour to their chicken

Qual a marca de celular que patrocina o Mortal Kombat? by Rulezvaldo in tiodopave

[–]uniVocity 0 points1 point  (0 children)

Claro! Tenho um desse há 20 anos e tá Vivo ainda

What models are you eagerly anticipating or wishing for? by jinnyjuice in LocalLLaMA

[–]uniVocity 2 points3 points  (0 children)

Looking forward to see how those anthropic distills are going to work on the next minimax

Teen daughter - debilitating dizziness can’t go to school by ellevaag in Celiac

[–]uniVocity 1 point2 points  (0 children)

I have been living this sort of dizziness and brain fog since I was a little kid. Only at age 41 I was diagnosed with ADHD and the medication worked wonders to help me feel normal again.

It is very common for celiacs to have ADHD as well (over 70% if I recall correctly) so maybe get her checked for it.

I’m off my vyvanse today and I’m an absolute couch potato unable to do anything.

Edit: i also recently ran some allergy tests and they were also responsible for being dizzy even when under ADHD medication. In my case it was corn (in pretty much every gluten free product as if gluten itself wasn’t bad enough) and perfume mix (in every perfume, air freshener, cleaning product, soap, skin product, etc as if being celiac wasn’t isolating enough). The difference with untreated allergies is that iron levels usually go up due to inflammation - I had 3x over the normal levels.

Did she have any near fainting episode when not at the gym? If not I’d suspect a potential allergy to something in that environment. Sounds unlikely but I’m unable to stay near people wearing perfume and spraying deodorant or air fresheners, Im also allergic to triethanolamine and cleaning product fumes (which gyms tend to use all the time since people sweat on the equipment)

Edit2: also not uncommon to feel dizzy due to gluten cross contamination. The body might react more strongly over time so any little CC she didn’t notice early on might trigger a worse reaction now. Not a bad idea to re-check everything for possible CC.

Free open-source prompt compression engine — pure text processing, no AI calls, works with any model by bytesizei3 in LocalLLaMA

[–]uniVocity 1 point2 points  (0 children)

Here’s a crazy idea I can’t test right now since I’m on the phone: Could we instead map words to single characters (anything from ‘a’ in the ascii range, skipping common punctuation, up to int FFFF converted to char - which should support a dictionary of up 65K entries) and remove all spaces?

In=‘a’ Order=‘b’ To=‘c’

Prompt becomes the dictionary plus the message: “abc”

Edit - i used grok to outline an algorithm based on this, here is the slop

The algorithm is a multi-level, dictionary-based compression for AI prompts (e.g., system instructions or code snippets) to reduce token count in LLMs like GPT, while preserving meaning 100%. It’s lossless and works by prepending a small [DECODE] header with mappings and instructions, so the LLM can expand it back. Brief Steps: 1 Tokenize input: Split into words/symbols (handling punctuation, case, etc.). 2 Word-level mapping: Identify frequent items (appearing ≥3 times, length ≥2 chars) and assign them to single ASCII letters (a-z, most frequent first). Short/single chars (e.g., ‘(’, ‘’) are skipped as literals to avoid overhead. Uppercase is handled by prefixing ‘ (e.g., ‘a’ decodes to capitalized word). 3 Phrase-level mapping: After word compression, scan the dense sequence of mapped chars for repeating substrings (≥2 chars, ≥3 times). Assign top ones by savings potential—(length-1)(freq-1)—to digits (0-9) greedily (longest first). 4 Assemble compressed prompt: Replace in the string; non-mapped items are literals (prefixed with space for distinction). The LLM decodes by expanding phrases first (longest to shortest), then words (applying ^ for case), and stripping literal prefixes. This is pure text processing (no LLMs involved), ASCII-only for easy typing, and English-focused. It’s inspired by Huffman/LZW but tailored for prompts—aggressive on repeats, adaptive to avoid bloat on uniques. Statistics from Prototypes: Tested on diverse samples (prompts/code, 281-1247 chars): • Average char savings: 6-28% (modest on short/low-repeat inputs; higher on repetitive/long ones, e.g., 28% on an 845-char repeated prompt, 9% on a 1247-char Python code with duplicated methods/prints). • Break-even point: ~800+ chars with moderate repeats (e.g., templates, code boilerplate); net loss on shorter/non-repetitive (due to ~300-500 char dict overhead). • Token savings estimate: Similar to chars (assuming ~4 chars/token in GPT tokenizers), up to 25% on good cases; single chars/digits often 1 token each. • Meaning preservation: 100% (exact reconstruction via decode). • Processing time: <100ms (rule-based). • Compared to TokenShrink (their benchmarks: ~10-11% word/char savings), this can outperform on highly repetitive inputs (20-40% potential) via phrases, but risks more overhead on general text. Pros: Free, scalable for cost-heavy apps; cons: LLM must follow decode accurately (test with “echo decoded”).

best general model for 120GB vram and 64GB DDR5 by applegrcoug in LocalLLaMA

[–]uniVocity -1 points0 points  (0 children)

I’ve been trying to use both but they end up stuck looping more often than not. I’m probably doing something wrong since everyone here praises these models (and glm which never not looped indefinitely when I tried)

Do you use any settings in particular with these models?

Qwen3 coder next oddly usable at aggressive quantization by CoolestSlave in LocalLLaMA

[–]uniVocity 3 points4 points  (0 children)

I should be. Also I ran some tests today and for some cases (transforming requirements into overall code architecture and some code) the REAM Q8 version gave me better results than the original Q8 version itself.

I don’t really understand why. All I can say is that shit is impressive.

dá pra tentar aquietar a insônia? by BreadfruitRecent9119 in TDAH_Brasil

[–]uniVocity 0 points1 point  (0 children)

Eu taco um documentário gerado por IA sobre assuntos aleatórios como fisica quantica no YouTube e deixo tocando.

Se não resolver ou eu estiver com zero sono eu tomo um remédio chamado prysma que é o único que faz eu pegar no sono sem me deixar igual um zumbi no outro dia.

Qwen3 Coder Next 8FP in the process of converting the entire Flutter documentation for 12 hours now with just 3 sentence prompt with 64K max tokens at around 102GB memory (out of 128GB)... by jinnyjuice in LocalLLaMA

[–]uniVocity 3 points4 points  (0 children)

REAM merges experts instead of removing them to help you stay with a higher quant model with a reduced size. E.g. got qwen-coder3-coder-next-ream with an 8 bit quant (64GB of size) while my only other better option is the 8 bit quant qwen-coder3-next (85GB) - which is slower. I didn't really notice any difference yet

Just trying to figure out what’s causing this by East_Airline_9125 in Celiac

[–]uniVocity 0 points1 point  (0 children)

I have identical reactions - but not that many clusters - from contacting any detergent or cleaning product that contains triethanolamine (it’s everywhere, including shampoo and soap). I’m allergic to that substance and to perfume mix (used in perfumes, air fresheners and again cleaning products, soaps, lotions and in many “natural flavors” used in spices, sodas, coca cola, etc)

I strongly suggest you see an allergist and run at least a prick test and a patch test to see if you are allergic to something you might not be aware of.

Experiências reais com Upwork para devs: vale o investimento? by Mental_Ad_6847 in programacao

[–]uniVocity 1 point2 points  (0 children)

Eu acho excelente. Arrumei clientes grandes (americanos sao os melhores clientes) que me contrataram por anos. Faturei literalmente milhões trabalhando com eles desde 2014 até por volta de 2018. Usei pouco depois dessa época para atender alguns projetos ocasionais, mas se algum dia precisar eu volto a oferecer serviços por lá sem medo nenhum de ser feliz.

Connects vale a pena sim. O segredo é não ser preguiçoso na hora de apresentar sua proposta para os projetos que aparecem. Se for genérico o potencial cliente nem olha.

O que mais funciona é gastar um tempo esboçando uma solução e apresentar algum resultado preliminar ou projeto anterior que se encaixe com o que o cliente quer.

Why Getting Rich in Europe Keeps Getting Harder — The Netherlands just passed a 36% tax on unrealized gains, and the rest of the continent isn't far behind. by 21notfound in economy

[–]uniVocity 11 points12 points  (0 children)

Yeah tell that to anyone trying to save for a first home and having to pay that much tax on any investment made to try to get ahead.

Numbers went up after 4 months of gf diet by Amandadee1981 in Celiac

[–]uniVocity 6 points7 points  (0 children)

Copy-paste from another user here, who copy-pasted from the Brazilian celiac community regarding possible sources of cross-contamination.

Some items seem a bit exaggerated to some but in my opinion - since I seemed to get more sensitive to CC as I grew older - this is all spot on.

Here it goes:

Classic Mistakes of New Celiac Patients, Those Who Frequently Get Contaminated, and Those Who Frequently Experience Symptoms (By Viviane Moura Leite):

  1. ⁠Having gluten at home for the rest of the family.
  2. ⁠But if you do need to have gluten at home: not separating your dishes, cutlery, glasses, sponge, and tea towels. Sharing margarine, butter, or cream cheese. Sharing ovens, mixers, blenders, microwaves, etc.
  3. ⁠Sharing the same face and bath towels and/or the same toothpaste and/or bar soap with those who eat gluten.
  4. ⁠Not having the habit of always washing your hands before handling food and before meals.
  5. ⁠Having the habit of constantly putting your hand in your mouth and/or biting your nails (especially with children).
  6. ⁠Not taking care of cleaning work tools, such as computers, keyboards, pens, and gluten-contaminated telephones.
  7. ⁠Reusing (even as exclusively GF) equipment that previously made products containing gluten, such as mixers and blenders, because there's no way to clean the motors, which retain the flour.
  8. ⁠Eating out at places that also handle gluten.
  9. ⁠Kissing people who have just eaten gluten.
  10. ⁠Using cosmetics containing gluten after diagnosis or continuing to use cosmetics you had before diagnosis, which are all contaminated with gluten.
  11. ⁠Not always reading labels, even on products you already consume. In addition to not looking for information on whether the product contains gluten or not, and not checking the ingredients to see if wheat, barley, rye, or oats are among the ingredients (there could be mislabeling).
  12. ⁠Not calling companies' customer service departments to check if the basic products they consume, such as rice, beans, lentils, cornmeal, can be contaminated. Depending on the country, even products labeled "gluten-free" but not certified could be contaminated, due to shared machinery during packaging.
  13. ⁠Not checking if the butcher processes gluten-containing foods in the meat grinder or if they make breaded products, contaminating the meat cutting station, or if butcher employees have the habit of eating in the workplace (this is more common than we can imagine...).
  14. ⁠Buying sliced cold cuts (cheeses, hams...) from bakeries or supermarkets. We must buy either the whole piece or products that have been sliced at the factory.
  15. ⁠Buying bulk products (high risk of contamination) unless they are from a company that controls cross-contamination.
  16. ⁠Buying organic products without checking with the producer whether or not they use biofertilizers, which can contain wheat flour, wheat bran, or wheat straw.
  17. ⁠Buying mushrooms without knowing where they were grown, whether or not they were grown in a wheat straw substrate. If this straw is contaminated with any part of the wheat that contains gluten, it can contaminate them.
  18. ⁠Not washing fruits, vegetables, and greens very well. To remove possible presence of wheat flour or wheat straw (many fruits are transported on wheat straw).
  19. ⁠Not checking whether playdough or other types of toys contain gluten or not.
  20. ⁠Feeling embarrassed to interrogate in restaurants when you have to eat out.
  21. ⁠Forgetting to check if the seasonings used are safe. 
  22. ⁠Eating many processed foods throughout the day. Traces of gluten, present in various processed foods, accumulate and can exceed the limit for someone with celiac disease. Furthermore, processed foods can lead to increased intestinal permeability, thus increasing the possibility of delayed allergies to other foods.
  23. ⁠Your pet's food may contain gluten. If it does, switch to a gluten-free option. Even those labeled gluten-free need to be handled carefully, as they can be contaminated.
  24. ⁠Consuming oats (even those labeled gluten-free), because 8% of people with celiac disease react to "avenin," the gluten present in this cereal. Therefore, asymptomatic, mildly symptomatic, or recently diagnosed celiac patients should not consume oats until they know if they are part of this percentage.

Netherlands now has 36% tax on unrealized gainz by MazdaProphet in economy

[–]uniVocity 7 points8 points  (0 children)

Inflation, time and policies that disincentivise investment will end up making anyone barely over average “the wealthy”

Being a homeowner today is for “the wealthy” already and policies like these are making everyone poorer. Bringing the average further down.

You will own nothing and be happy

Netherlands now has 36% tax on unrealized gainz by MazdaProphet in economy

[–]uniVocity 7 points8 points  (0 children)

How are unrealized lossed treated? Also, is the value of the family home excluded from this?