@remenyo

[almost] irrelevant content is the future for social media.

 Hungary
Joined September 2013
  • Tweets2.2K
  • Following1.2K
  • Followers82
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michael
@mchlhessOct 16
should I be offended by this
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Sauers
@Sauers_Oct 17
God neuron
Aivo
@AivokeArtOct 17
Replying to @Sauers_
ah fuck I just know one of you fuckers is going to look for the god neuron and get us all ki
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i drive@eduard_dailyOct 17
друзі прошу не заздрити
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T4T5
@t4t5Oct 9
airdrop fully reverse-engineered! works flawlessly on my framework laptop
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Macroblock@sainimaticOct 8
Guillaume Lample @ NeurIPS 2024
@GuillaumeLampleOct 6
Replying to @GuillaumeLample
ML4 was trained on 3,800 NVIDIA Grace Blackwell GPUs in our European datacenters -- our cluster in Bruyères-le-Châtel built using our Series B fundraise. We are investing heavily in infrastructure, with our Series C and D clusters coming online soon. This additional compute will let us train longer, pursue more ambitious post-training, and iterate faster. We expect large and rapid improvements in the weeks and months ahead. 2/n
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luffy
@0xluffySep 28
20,000 startups are going to die tomorrow
OpenAI
@OpenAISep 28
Get ready.
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grand theft alignment
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Dave Jones
@eevblogSep 12
LOL, who did this? definitely-not-rohde-schwarz…
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MattyG@meawopplSep 10
Wife told me these wouldn’t fit. Little did she know I had trained for this moment for years.
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Max Weinbach
@mweinbachSep 9
Very important questions are being asked at Apple Park Very, very important
Max Weinbach
@mweinbachSep 9
Today was a great day for a walk around Apple Park
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harley turan
@hturanSep 6
turns out 60hz hi-dpi eink screens feel pretty magical
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BlindVia
@blind_viaSep 4
This is what they took from us, hand drawn curvy PCBs
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kache
@yacineMTBSep 3
this component is insane i have been waiting for it for 2 years
American Embedded
@amembeddedSep 2
STMicroelectronics VL53L9CX 2.3K LiDAR Sensor $63.36 each, $49.58 @ 25 They fit a whole WAYMO in this thing. Not really. I2C/I3C + CSI interfaces for up to 100Hz update rate. Supports <5cm-8.8m ranging. Pre-order a STEMMA QT breakout here: americanembedded.com/store
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苹果M5服务器 #apple
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essen@essenaccountAug 21
NOW IS IT CPU BOUND, OR IS IT MEMORY BOUND?
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Great post on how LLMs improved so rapidly in the span of a few years.
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XDDDDD
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Suffy 🦢
@drsuffyAug 21
Chief engineer at Honda BTW
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Depth-aware light injection in TypeGPU I got a 448x448 monocular depth model down to ~8 ms on my M4 Pro across ~250 dispatches, which is fast enough to use in realtime :D Since the inference is written directly in TypeGPU, I can just feed the depth buffer straight into the lighting pass. It never has to leave the GPU or go through any extra synchronization/interop step Inference, lighting and draw all go through the same command encoder.
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