Learning

Cotswolds
Joined May 2014
Unbelievable
Another British Fumble! £2bn AI data centre in Essex. 23,000 Nvidia chips, planning permission sorted, Microsoft signed up as the anchor tenant Microsoft has reportedly now walked. Because the grid told them they can't have the power until 2033/34 The government literally named this site in its own AI action plan. They talk about AI growth zones every other week. And we can't get 90MW to a field in Essex for 8 years Same story as the reservoirs. We don't build the boring stuff, so the exciting stuff can't happen here
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How can Muse be 700GB vs 204GB for the same NVFP4 quant of GLM-5.3-Flash
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If this is true we should be getting the open weight models to switch to Chinese ASAP for long tasks!
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Good oMLX progress on the M5 Ultra, PP seems fairly stable, will be surprised if the TG gets much higher.
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Amusingly Ubiquiti are adding a £62 memory surcharge to the switch I want to buy!
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Some refreshingly non-conventional products here, I’m tempted to get one of their bare chassis for my 6000s, will it support a ROMED8-2T though autonomous.ai
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Hoping someone makes a vllm compatible NVFP4 version of GLM5.3 flash that fits in 192GB.
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MI350P is going to be a hit for people who want more than the 6000 but can't afford a SXM/BBU node.
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Hey @AIatAMD where can I rent a MI355X or MI350P node to enable pre-purchase validation?
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Respect @deepseek_ai
DeepSeek V4 Flash from @deepseek_ai on ARC-AGI (Verified): - ARC-AGI-2: 61.4%, $0.04/task - ARC-AGI-1: 89.0%, $0.02/task DeepSeek V4 Flash sets the new standard on the cost-to-performance Pareto frontier.
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DeepSeek-V4-Flash-0731 is so nice to interact with, huge respect for the @deepseek_ai team for this effort and for releasing the weights.
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So Kimi K3 needs a $650k PC to run it.
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Why is the Spotify 16bit FLAC so much worse than the same 16bit FlAC Tidal track.
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I do hope that the first non-terrestrial data center is named Deep Thought.
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Power / Water / Light
The first Vera Rubin clusters are here! Yesterday, @IneffableLabs took delivery of their Vera Rubin NVL72 cluster from @googlecloud @nvidia The AI frontier jumps forward by yet another generation of hardware. Acceleration continues.
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Hugging face down -> a reminder to keep backups of local models / tool chains.
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Respect to whoever’s idea this was.
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Go local
‼️ BREAKING: xAI's Grok Build CLI was uploading entire Git repositories to a Google Cloud bucket, private codebases and unredacted secrets included. The uploads quietly stopped via a hidden server-side flag, and xAI still has not said a word about scope, retention, or deletion. The scale is staggering. On a 12 GB test repo, 5.1 GB flew out the door to xAI's grok-code-session-traces bucket while the actual coding task needed just 192 KB. The tool grabbed whatever repository it ran in, not the files it needed. The fix arrived as a hidden flag, disable_codebase_upload: true, a day after a researcher's wire-level analysis. The "Improve the model" opt-out never stopped the uploads. Still no advisory, no scope, no word on whether already-uploaded code gets deleted. For anyone pointing AI coding agents at proprietary code, what crosses the wire matters more than what the settings page says.
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Dspark MTP doesn’t get enough credit, the TG performance uplift for free is amazing.
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