Squiggly

Python, Go ,Elementary OS and Anime with occasional Dyslexia.Capitalism doesn't care about ideals.

[Squiggly @Asenic_]

Managed get the side project live https://t.co/5C2oS4njvT and cross over 500 users. A small win on my books.

[Essie @EcEssie]

😂😂😂😂����

[Angelorum tutela @GacheriNdumba]

Alienda abroad where she interracts with patients she respects and admires na akakata makucha.

Nyinyi madogomothi ndio hamdeserve proffessional standards.

That is all I am saying.

[Squiggly @Asenic_]

Over 10K users and over 200 users have paid at least once.

[Squiggly @Asenic_]

Managed get the side project live https://t.co/5C2oS4njvT and cross over 500 users. A small win on my books.

[Renaissance ⚔️ Morio @RamzZy_]

Jamaa wetu ndio aliambiwa apande ceiling apige picha kama anataka loan ingine?

[Nywele Ngumu @mariahsudi]

A lot of women live their lives through extremely beautiful women the same way alot of men live their lives through billionaires.. it’s a funny dysfunction.. one that almost always ends up with envy and a yearning for a take down or humbling of the person

[Dr. C @chao_mbogho]

Excellent double entendre. 😀

[Fake Woke With Justine @officialfwwj]

BREAKING: Ebola shocked to be welcomed in country with open harms

[Thanos @abadojack]

Academy of Fine Arts Vienna did something similar in 1907 and 1908, and the whole world paid.

Please let the children paint!

[Cerebral Assassin @xysist]

@denniskioko I wrote about the planning issue a few weeks back

[immoral nut @nut3case]

I am jobless
If your company is hiring for golang or backend roles share or refer me
range of salary we will discuss hehehe

[Jomba @mwabilimwagodi2]

Am I struggling? Yes.
I am behind in rent, school fees and bills.
Am I happy? Extremely.
I am learning new skills, travelling and meeting Kenyans fighting for their lives and fighting against President Ruto rogue regime.
Support my work - 0799428109
https://t.co/pk27wSkpCO

[Simon Høiberg @SimonHoiberg]

My spending isn't anything like this, but relative reductions are roughly the same for me. From ~$96,000/year with AWS to <$10,000/year with bare metal servers. And still have a few more reductions to go.

[DHH @dhh]

In 2023, we spent $3,934,099 on AWS + other hosting. In 2026, our hosting + support bill is down to ~$1m/year due to the cloud exit. Even including all the hardware buying, we will already have saved ~$4m by the end of this year. And going forward, it's ~$3m/yr in savings 🤑

[Squiggly @Asenic_]

Getting to 6500 users and over 60 paying users has been interesting.

[Dystopian survival @VivetVeritate]

This is a warning sign to humanity

[ThePrimeagen @ThePrimeagen]

first they took our jobs and we didnt say anything
next they took our production databases..

[Black @LilithBlack25]

USA is about to go fight terrorism in Botswana

[Tara Blume @tcblume]

This cracked me up but also makes me feel extra old.

[Aakash Gupta @aakashgupta]

The scariest number here: 3.61% of CPUs in one large-scale study were found to cause silent data corruptions. Not “a few bad chips.” Nearly 4 out of every 100 processors doing math wrong, silently, with no error log.

Google coined the term “mercurial cores” in 2021 after their production teams kept blaming software for data corruption. They’d debug for weeks, find nothing wrong with the code, swap the machine, problem gone. The actual cause: manufacturing defects at sub-7nm that pass every factory test, then degrade unpredictably months or years after deployment.

Facebook confirmed the same thing independently. Hundreds of affected CPUs across hundreds of thousands of machines. The defect doesn’t crash your system. It just gives you 5 instead of 6 when you multiply 2x3, under specific microarchitectural conditions, with zero indication anything went wrong.

Now think about what this means for AI training. A single corrupted GPU or CPU in a distributed training cluster doesn’t just produce one bad output. It feeds corrupted gradients into a synchronization step that gets averaged across every accelerator in the cluster. One bad chip can silently poison an entire training run. NVIDIA published a whitepaper on exactly this problem. Loss spikes during LLM training that nobody could explain traced back to silent hardware corruption.

The part that keeps infrastructure engineers up at night: traditional defenses don’t work. ECC memory can’t catch this because the corruption happens during computation, not storage. Checksums like CRC heavily use vector operations, which are themselves one of the most vulnerable instruction types. The tools designed to detect corruption are running on the same flawed silicon.

Google’s current detection method? Roughly half human-driven, half automated. And of the machines humans flag as suspicious, only about 50% are actually confirmed mercurial on deeper investigation. We’re debugging trillion-parameter models on hardware where we can’t reliably tell which chips are lying to us.

Moore’s Law gave us more transistors. It also gave us transistors we can’t fully verify.