u/Abjectionova

I usually game on Console but my parents recently purchased a budget Auusda laptop as a replacement for my old Latitude E5480 and I started tinkering with it's settings a little (and installed Fedora 44 WS cuz I used it on my old laptop as well.)

It uses an Intel Celeron J4105 + 128MB UHD 600 [int] (I can hear the snickering already) but surprisingly comes with a 1 TB nVME SSD and 16GB of DDR4 RAM.

I'm not really interested in competitive PC gaming but what will these specs generally be able to run (I'm somewhat of a nerd for these kinda things)?

I took CORE FS 7 years ago and got a score of 7SS (very superior, ikik). However, I recently took it last month and scored 20SS (below average). I'm wondering if the fluctuation can be attributed to praffe or perhaps a more fundamental, irreversible change.

https://preview.redd.it/ofs1ubq5nebh1.png?width=1920&format=png&auto=webp&s=c384e4660b227f465db05144b632607cc3dcb56b

After years of using Windows, I finally decided to make the leap to Fedora Linux 44. I’ve been using this laptop for a while, but I reached a breaking point with Windows 11.

The main reason for the switch was just how much memory Windows 11 was consuming while the system was idling. It felt like the OS was constantly running background processes I didn't need, which left me with very little headroom for my actual work. It was frustrating to see so much of my resources tied up just to keep the desktop environment running.

Since switching to Fedora, the difference has been night and day. The system feels incredibly snappy, and it’s a relief to see my resources being used efficiently instead of being consumed by background bloat. I’m still finding my way around (just learned how to get my terminal set up!), but the experience so far has been fantastic.

hint: >!they both use counting processes!<

2, ?, 4, 6, 8, ?, 12, 15, ?, 18, ?, ?, 24

2, 5, 9, ?, 22, ?, 40, 46, ?, ?, 73

I recommend using external references [excluding AI] since it loads on Gc quite a bit though the logic is fluid:

35?, 218, 964, 1?4, 359, 339, ?28, 363, 8??, 347

0, 1, 2, ?, 04, 5, 046, 7, ?468, ?

As a cyborg that immigrated to Earth 10 years ago, I'm struggling to find work. I've applied to over 300 jobs and I'm honestly starting to lose hope - every interview seems to go well at first. We shake hands, I smile, I laugh at their jokes, and everything feels natural. Then they ask me about my previous experience, apparently "overseeing the extraction of rare minerals from a conquered planet" isn't considered relevant to retail.

Fine. I can adapt.

Then they ask me what my greatest weakness is... I tell them that my chassis requires periodic maintenance every 18,000 operating hours. Wrong answer.

They ask where I see myself in 5 years. I say, "Operational." Wrong answer.

They ask if I work well under pressure: "I survived atmospheric reentry without a heat shield", somehow also the wrong fucking answer. At my last interview, the manager said they were looking for a human touch. I spent six months studying how to give human touches, only to discover it was metaphorical.

I just don't understand Earth hiring culture.

Any advice would be appreciated.

I tried to join Mensa but when I gave them a holographic copy of my SB-M extended score, they imprisoned me in a furtive prison facility and Earth-bound scientists insist on giving me the "human touch".

>Wolfram et al. (2026) present a new polygenic score for general cognitive ability achieving R² = 16.4% in UK Biobank, a substantial jump over the prior ~10% ceiling. Crucially, within-family sibling designs show only minimal attenuation of the effect (δ/β ≈ 0.88), meaning the prediction is predominantly direct genetic rather than population stratification or indirect nurture effects. After correcting for measurement unreliability in the brief UKB fluid intelligence test, the latent-scale within-family correlation with g reaches ~0.45. The paper also runs a broad pleiotropy screen and finds the PGS is overwhelmingly beneficial across psychological outcomes: lower ADHD, fewer psychotic-like symptoms, better emotional stability — with no significant autism signal. No gene-environment interactions with SES, parental education, or family conflict were detected, supporting additivity of genetic and environmental effects across typical Western environments.

Essay-based NLP predictions of reading, verbal, and mathematical ability hit R² ≈ 0.55–0.59, nearly matching teacher assessments (0.56–0.62) at the same age. Polygenic scores across 33 traits had an R² ≈ 0.11–0.17.

When all three sources (essays + teacher assessments + PGS) are stacked in a SuperLearner ensemble, cognitive ability prediction reaches R² ≈ 0.70, approaching the test-retest reliability of gold-standard IQ tests. The combined model explains 38% of variance in educational attainment at age 33, roughly doubling what the Fragile Families Challenge achieved with 12,000+ survey variables

For non-cognitive traits (grit, motivation, externalizing/internalizing behavior), predictions are considerably weaker across all three modalities — cognition is just more textually legible than personality. However, almost all predictive signal in the text came from the LLM embeddings specifically, not readability scores or linguistic metrics — those add almost nothing marginally.

Caveats worth noting: single British birth cohort (1958), homogenous sample, no external validation, and the author discloses working at a genomics company. The non-cognitive prediction results are also mediocre, which the paper somewhat undersells.