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Lisan al Gaib

@scaling01 • 38,297 subscribers

lead them to paradise https://t.co/IiP4VZlGU3

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Andrej Karpathy calls AI Agents slop "Overall, the models they are not there. And I feel like the industry [...] it's making too big of a jump and it's trying to pretend that this is amazing. And it's not—it's slop! And I think they are not coming to terms with it. And maybe they are trying to fundraise or something like that, I'm not sure what's going on."

Andrej Karpathy calls AI Agents slop "Overall, the models they are not there. And I feel like the industry [...] it's making too big of a jump and it's trying to pretend that this is amazing. And it's not—it's slop! And I think they are not coming to terms with it. And maybe they are trying to fundraise or something like that, I'm not sure what's going on."

3,099,121 views

Sora-2 counting the R's

Sora-2 counting the R's

310,483 views

Sora-2 brainrot: a cat walking on the ceiling as if it were the floor

Sora-2 brainrot: a cat walking on the ceiling as if it were the floor

306,977 views

Stargate Abilene - overview, progress and speculation + satellite pics Power: 1.2 GW total for 8 buildings ~44,600 m² (~8+ American football fields)., 4 halls each Timeline: Construction began June 2024 (Phase 1: 2 buildings). June 2025 the first two buildings were completed and the campus began early training/inference. Phase 2 adds 6 more buildings; full campus mid-2026 GPU count (planned): March 2025: ~400k GB200 chips (~50k/building). Oct 2025 (Larry Ellison): >450k GPUs (>56.25k/building) Cooling approach: Direct-to-chip, closed-loop, zero-evaporation liquid cooling. Water: ~1,000,000 gallon one-time fill per building; ~12,625 gallons/year per building for maintenance and quality Chillers: 80 per building. Building 1 in red: smaller frames (something like Vertiv LVZ170), up to ~2.7 MW each. Newer buildings in green: 20% larger frames (something like Vertiv LVZ230), up to ~3.1 MW each. Usually around 2 MW/unit and only 50-60 during normal operation. The rest are for backup or extreme heat. -> likely increased cooling capacity to accomodate 50k more GPUs over 8 buildings On-site generation: Parker Hannifin supplying 29 dual-fuel GE Vernova LM2500XPRESS turbines (~35 MW each) for ~1.015 GW on-site capacity. Currently 9 deployed at 315 MW with 10th one in progress Speculation: - Compute: 196 racks/hall → 784 racks/building → 56,448 GPUs/building → 451,584 GPUs campus-wide - Power: 784 × 132 kW = 103.488 MW IT/building → at PUE 1.15 ≈ 119 MW/building → ~952 MW campus total (leaving headroom under 1.2 GW) - Site status as of October 30th 2025: Construction started for all buildings in phase 2 and a third building appears nearly complete with chillers installed

Stargate Abilene - overview, progress and speculation + satellite pics Power: 1.2 GW total for 8 buildings ~44,600 m² (~8+ American football fields)., 4 halls each Timeline: Construction began June 2024 (Phase 1: 2 buildings). June 2025 the first two buildings were completed and the campus began early training/inference. Phase 2 adds 6 more buildings; full campus mid-2026 GPU count (planned): March 2025: ~400k GB200 chips (~50k/building). Oct 2025 (Larry Ellison): >450k GPUs (>56.25k/building) Cooling approach: Direct-to-chip, closed-loop, zero-evaporation liquid cooling. Water: ~1,000,000 gallon one-time fill per building; ~12,625 gallons/year per building for maintenance and quality Chillers: 80 per building. Building 1 in red: smaller frames (something like Vertiv LVZ170), up to ~2.7 MW each. Newer buildings in green: 20% larger frames (something like Vertiv LVZ230), up to ~3.1 MW each. Usually around 2 MW/unit and only 50-60 during normal operation. The rest are for backup or extreme heat. -> likely increased cooling capacity to accomodate 50k more GPUs over 8 buildings On-site generation: Parker Hannifin supplying 29 dual-fuel GE Vernova LM2500XPRESS turbines (~35 MW each) for ~1.015 GW on-site capacity. Currently 9 deployed at 315 MW with 10th one in progress Speculation: - Compute: 196 racks/hall → 784 racks/building → 56,448 GPUs/building → 451,584 GPUs campus-wide - Power: 784 × 132 kW = 103.488 MW IT/building → at PUE 1.15 ≈ 119 MW/building → ~952 MW campus total (leaving headroom under 1.2 GW) - Site status as of October 30th 2025: Construction started for all buildings in phase 2 and a third building appears nearly complete with chillers installed

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GPT-5.4 is special LisanBench: GPT-5.4 vs Opus 4.6 vs Gemini 3.1 Pro
0:27
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GPT-5.4 is special LisanBench: GPT-5.4 vs Opus 4.6 vs Gemini 3.1 Pro

Lisan al Gaib

265,203 views • 3 months ago

GPT-5 vs Grok-4 exact same prompts, wildly different output in web lmarena
0:59
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GPT-5 vs Grok-4 exact same prompts, wildly different output in web lmarena

Lisan al Gaib

566,992 views • 10 months ago

Dario Amodei, CEO of Anthropic says that researcher-lead AI companies, like Anthropic and Google will succeed going forward. He declined to comment about what would happen to companies, like OpenAI, xAI and META, that aren't led by researchers.
0:34
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Dario Amodei, CEO of Anthropic says that researcher-lead AI companies, like Anthropic and Google will succeed going forward. He declined to comment about what would happen to companies, like OpenAI, xAI and META, that aren't led by researchers.

Lisan al Gaib

180,189 views • 4 months ago

HOLY FUCKING SHIT - WATCH THE WHOLE VIDEO I asked Gemini 2.0 what the meaning of life is but it is only allowed to use images. OpenAI made a generational fumble by not releasing GPT-4o fully multimodal Fully multimodal models are the weirdest and scariest things in existence wtf this is addicting
0:59
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HOLY FUCKING SHIT - WATCH THE WHOLE VIDEO I asked Gemini 2.0 what the meaning of life is but it is only allowed to use images. OpenAI made a generational fumble by not releasing GPT-4o fully multimodal Fully multimodal models are the weirdest and scariest things in existence wtf this is addicting

Lisan al Gaib

370,769 views • 1 year ago

Microsoft has access to ALL of the hardware accelerator IP from OpenAI, which is why Satya is not worried about their in-house Maia accelerators not progressing as fast as Google TPUs
0:21
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Microsoft has access to ALL of the hardware accelerator IP from OpenAI, which is why Satya is not worried about their in-house Maia accelerators not progressing as fast as Google TPUs

Lisan al Gaib

156,886 views • 6 months ago

This is where we are with Claude Mythos Governments are waking up and talks about nationalization will be happening within a year
0:36
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This is where we are with Claude Mythos Governments are waking up and talks about nationalization will be happening within a year

Lisan al Gaib

29,946 views • 1 month ago

and so it begins
0:30
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and so it begins

Lisan al Gaib

25,280 views • 3 months ago

this is now a much more accurate representation of the space and it still holds that GPT-5.4 is a bit more explorative it's now based on kamada–kawai layout instead of the default spring layout, and there are much more nodes and edges than before (still need to optimize it tho) but it's not close to all nodes or edges in the neighborhood, still only a tiny fraction the fuzzball is very dense
0:41
scaling01's profile picture

this is now a much more accurate representation of the space and it still holds that GPT-5.4 is a bit more explorative it's now based on kamada–kawai layout instead of the default spring layout, and there are much more nodes and edges than before (still need to optimize it tho) but it's not close to all nodes or edges in the neighborhood, still only a tiny fraction the fuzzball is very dense

Lisan al Gaib

19,040 views • 2 months ago

I asked Claude 4 Sonnet to build Flappy Bird. It took longer to screen record than for it to code it. it literally one shot this in pure HTML, CSS, JS
0:20
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I asked Claude 4 Sonnet to build Flappy Bird. It took longer to screen record than for it to code it. it literally one shot this in pure HTML, CSS, JS

Lisan al Gaib

48,923 views • 1 year ago

I can't stop playing with this tool that GPT-5 made it's so mesmerizing
1:00
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I can't stop playing with this tool that GPT-5 made it's so mesmerizing

Lisan al Gaib

41,221 views • 10 months ago

LMARENA EVOLUTION OF TOP 10 MODELS BY ELO OVER TIME Since November 20th, only Google and OpenAI models have been in the Top 10 !!! Anthropic hasn't made the Top 10 since September 27th.
0:33
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LMARENA EVOLUTION OF TOP 10 MODELS BY ELO OVER TIME Since November 20th, only Google and OpenAI models have been in the Top 10 !!! Anthropic hasn't made the Top 10 since September 27th.

Lisan al Gaib

44,424 views • 1 year ago

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