Tweet fixado
dela°🧸
5.7K posts
dela°🧸
@vxt0r_
in pursuit of the ultimate ideal, actively ridding oneself of every local maxima.
¯\_(ツ)_/¯ Entrou em Ağustos 2011
309 Seguindo341 Seguidores
ngl, his attack talent ID is so awful.
14🌱@Dhemjhay_
Just for signing Madueke alone, Arteta deserves the sack
English
@ScottNolan great lecture! quite inspiring what you're doing with your startup.
English
We enrich to solve the ultimate bottleneck: energy
Anjney Midha@AnjneyMidha
*New Lecture* Stanford @CS153Systems '26, Session 8 (Full Video) Energy Bottlenecks with @ScottNolan from @generalmatter 00:00 Energy Bottlenecks Intro 00:11 AI Factory Overview 02:55 Why Power Matters 03:56 From ChatGPT to Enterprise Demand 07:25 Meet Scott Nolan 09:03 Energy Is The Real Limit 11:16 Demand Growth Reality Check 13:17 Stranded Power Era 15:54 What Data Centers Need 16:59 Nuclear As Baseload Path 18:21 Fuel Cycle And Enrichment Gap 21:41 Bitcoin Mining As Rehearsal 25:03 Building Primitives Not Pivots 28:17 Nuclear Safety And Narrative 30:22 Calibrating the Moment 30:54 Pick Important Problems 32:14 General Matter Breakthrough 35:04 Building Team and Site 37:18 Government Support Reality 39:19 Jobs and AI Demand 42:37 Scaling Timelines and Space 46:16 Early SpaceX Lessons 50:25 Nuclear Perception and Europe 53:17 Supply Chain and Enrichment 56:56 Why US Lost Enrichment 59:25 Back to the Future Wrap
English
There’s no skill gap between me and Alejandro Garnacho. If I start training today, by next week I’ll be able to do exactly what he does on the football pitch, which is absolutely nothing.
Hlovo@hlovo_
This skill gap between us and professional athletes is actually hilarious 😭😂
English
a thing of beauty😍
SemiAnalysis@SemiAnalysis_
Our GB300 cluster went down yesterday, just as Deepseek released 😱 We were 😥 but @CoreWeave came through to contribute to the Open Source. They scrambled in the compute crisis, finding 2 spare dev racks of GB300 Our team is running Deepseekv4 now for InferenceX benchmarks!
English
dela°🧸 retweetou
Not bad, my ass
Elon is somewhat in denial of xAI's current position I think
Elon Musk@elonmusk
Not bad
English
anytime the cameras pan to arteta i can't help but see a man struggling to outrun a narrative he helped create.
then you watch noni and kai absolutely get dog-walked when in big moments and it only reinforces the backlash against him.
his attacking talent ID is so abysmal.
English
no longer fun to watch yall when the expectation is to drop the ball.
Arsenal@Arsenal
🔴 𝗧𝗘𝗔𝗠𝙉𝙀𝙒𝙎 ⚪️ 🔙 White returns ✨ Eze and Odegaard bringing the creativity 🫡 Havertz leads the line Relish the battle, Gunners 💪 🤝 Presented by @deel
English
@semidoped @vikramskr fun episode. it was really technically dense. definitely would need to rewatch.
English
A masterclass on Google's TPU v8 Networking.
Two TPU chips? Pssh. We already knew workload-specific silicon was here.
But two scale-up networking topologies?
That's the actual Google TPU news.
Workload-specific interconnects. Think about that.
New Semi Doped with @vikramskr and @austinsemis.
Copper? Yep. Optics? Yep.
What we cover:
- TPU splits in two: 8t training, 8i inference.
- Virgo: 47 Pb/s scale-out fabric, 100% OCS.
- Boardfly scale-up: copper PCB + AECs inside racks, OCS between groups. 16 hops → 7.
- Training uses 3D torus (Rubik's Cube).
- Inference doesn't. Workload-specific topologies now.
- Dragonfly traces to a 2008 paper by Kim, Dally, Scott, Abts. Abts went on to build Groq's interconnect before Nvidia.
Chapters:
0:00 Intro
0:21 Two TPUs for two workloads
2:31 HBM, SRAM, and Axion CPUs
7:22 Why networking is the new bottleneck
17:14 Virgo: rebuilding scale-out on optics
25:24 3D torus Rubik's Cube scale-up for training 34:50 Boardfly: scale-up for MoE inference
42:07 Workload-specific everything
$GOOGL
English
dela°🧸 retweetou
Hiring 1,000 new grad builders — because emerging AI talent is the experienced AI talent. Technical foundation required. Builder mindset non-negotiable. ⬇️
Marc Benioff@Benioff
I’m locked on, @DavidSacks! We’re hiring 1,000 new grads & interns right now to ride the AI exponential. You are right they said AI would kill entry-level jobs. Meanwhile these grads & interns are building it — powering Agentforce & Headless360 at Salesforce. 🚀 New grads: Drop your resume to @salesforcejobs or futureforce@salesforce.com #FutureForce #AI
English
dela°🧸 retweetou
I’m locked on, @DavidSacks! We’re hiring 1,000 new grads & interns right now to ride the AI exponential. You are right they said AI would kill entry-level jobs. Meanwhile these grads & interns are building it — powering Agentforce & Headless360 at Salesforce. 🚀 New grads: Drop your resume to @salesforcejobs or futureforce@salesforce.com
#FutureForce #AI
David Sacks@DavidSacks
Narrative violation: Hiring of new college graduates is up 5.6% over last year. Youth unemployment for degreed 20–24‑year‑olds fell to 5.3% from 8.9%. Weren’t we told that 50% of entry-level jobs were going away?
English
dela°🧸 retweetou
dela°🧸 retweetou
China keep distilling those fucking models thank you for the hard work I salute you 🫡
English
dela°🧸 retweetou
A Chinese company facing chip restrictions can train this
But xAI can’t even get SOTA
With a million H100 equivalents
Xiuyu Li@sheriyuo
Welcome DeepSeek V4 Pro Max huggingface.co/deepseek-ai/De…
English
dela°🧸 retweetou
Funniest part about this is xai has had access to a significantly larger compute pool and can't seem to train anything decent to save their lives
Lisan al Gaib@scaling01
GPT-5.5 was trained on a 100k GB200 cluster probably the Stargate in Abilene Texas with 2 out of 8 completed buildings and ~112k operational GPUs
English
