When you have been shit posting all day and have to get some work done
Source: x.com/wesbos/status/1858683907610132973
Team reactly is gonna take it home
Source: x.com/wesbos/status/1858658928776687638
This is the most insane screen I’ve ever presented on
https://video.nostr.build/84f53f9ad44c249bc4519a418ca9af80a3d946866e3fb04f03c744840866ce91.mp4
Source: x.com/wesbos/status/1858594972829970893
For a startup or small company that no one knows about:
"Bend backwards to hire ANYONE who is decent"
You see where this is going?
The places that struggle to hire the most could have the most flexible processes for promising candidates. Large companies: still rigid!
Source: x.com/GergelyOrosz/status/1858601666666447331
Year 2027 : Game Over Hollywood bs!
Source: x.com/nfkmobile/status/1858710994106601921
the llama3 from scratch works on the M4, now all I need is a dataset, also, a few spooky algorithms
Source: x.com/BLUECOW009/status/1858682023092555965
Initial State (Noisy): tensor([-0.0645+0.2452j, -0.2291+0.0207j, 0.1654+0.3621j, -0.2081-0.2459j,
0.1684+0.1129j, -0.2021+0.0194j, -0.0751+0.3512j, -0.0630-0.3093j,
-0.1047-0.0259j, -0.2585+0.2818j])
Final State: Parameter containing:
tensor([-0.9920-0.0122j, 1.0342+0.0141j, 0.9501+0.3229j, -1.1638-0.0680j,
1.3918-0.6123j, -0.9549+0.0600j, -0.9985-0.0299j, -0.9706+0.0174j,
-0.9265+0.1672j, -0.1479-0.3774j], requires_grad=True)
Target State: tensor([ 0.1946+0.0000j, -0.0170-0.2061j, -0.1218-0.1127j, 0.3651-0.1265j,
0.1514+0.2870j, -0.0141+0.2358j, 0.0841-0.0004j, -0.5546-0.3444j,
0.1302-0.2838j, 0.0411+0.2212j])
Correlation Results:
Correlation 1: tensor([-0.2815+0.0305j, 0.4471+0.0237j, 0.3753+0.0372j, -0.2074+0.0218j,
0.3337-0.1823j, -0.3447-0.0362j, -0.1476+0.1023j, -0.3019-0.0616j,
-0.2888+0.2299j, 0.0149-0.0722j], grad_fn=
Correlation 2: tensor([ 0.0314+0.0435j, 0.3449+0.1730j, 0.2160-0.1156j, 0.1939+0.2738j,
0.0030+0.1607j, -0.1136+0.0179j, 0.1513+0.3594j, -0.3476-0.4177j,
-0.2400+0.1002j, 0.2204+0.2702j], grad_fn=
Source: x.com/BLUECOW009/status/1858704500418388442
Just pushed code btw
Code every week day
Source: x.com/BLUECOW009/status/1858653252386017326
doing package forensics on complextensor today
Source: x.com/BLUECOW009/status/1858586743630672293
my newborns rate of peeing has been doubling every day. if we assume that each pee is 30 ml, that means in 45 days my newborn will be peeing enough to cover New York city In a meter of urine
Source: x.com/yacineMTB/status/1858609477190099082
When being surprised on "why does tech hiring work like X?"
It's worth understanding that hiring processes are not built to make the most sense for candidates. They are created by companies/teams to work for *them*. So that the process meets their own hiring goals.
Source: x.com/GergelyOrosz/status/1858601044542190030
Comments that go hard.
Source: x.com/TheJackForge/status/1858613630096511313
coding on the m1 on the tv room, running the code on the M4 with the apple ssh thingy
Source: x.com/BLUECOW009/status/1858660865370702046
I’m gonna be here IRL and I’m gonna win BTW
Source: x.com/wesbos/status/1858599164600611186
About to do my talk!
Source: x.com/wesbos/status/1858615250599223707
Doge ! Lets GO!
https://video.nostr.build/7394ae603242cbeac4c32c8b6d9e77c3534cfe31330cc8af1c074f35b052f27c.mp4
Source: x.com/nfkmobile/status/1858575736266711067
What’s the catch?
Source: x.com/TheJackForge/status/1858570208195330126
my goal is to have this working by the end of the day, but that might be too ambitious:
Source: x.com/BLUECOW009/status/1858538675904094685
current version of @LMStudioAI is amazing, and great work with the MLX models also!!!!
Source: x.com/BLUECOW009/status/1858540711580229737
More mac mini M4
0x5441B7505319ba177A921f5738533AA5e267973f
Source: x.com/BLUECOW009/status/1858542848578380152