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Allister Richardson retweeted
The default frame for the last two years has been more gigawatts: bigger clusters, more power, more concrete poured. Stanford's @HazyResearch spent that same window measuring the opposite direction, and came up with an intelligence-per-watt metric: task accuracy divided by mean power draw, measured per query on real workloads. Across their 2023 to 2025 measurement window, intelligence-per-watt improved 5.3x. Roughly 3.1x of that came from better models and 1.7x from better hardware. On single-turn chat and reasoning, 88.7% of queries could be answered correctly by a local model under 20B active parameters. Local accelerators still trailed cloud silicon by 1.4 to 7.4x on the same workload, but a hybrid router that sends easy queries local and hard ones to the cloud cut energy, compute, and cost by 60 to 80% against a batched cloud baseline. The win is in the routing. NVIDIA's DGX Spark put 128GB of unified memory and a petaFLOP at FP4 on a desktop, and open-weight families like Qwen3, gpt-oss, Gemma, and Granite now trail frontier cloud models by 6 to 12 months on most personal-AI tasks rather than years. MoE decouples capacity from per-token compute, which works for cloud serving at batch, but on a single-user device most experts sit cold across queries, so you pay in memory for capacity you rarely touch. They argue local-first models should look different: dense, small active footprint, quantization-aware, trained with local serving as a real objective rather than an afterthought. Power, not chips, is the binding constraint on most AI buildout right now, and almost every public argument about it is denominated in gigawatts and $$$ instead of useful work per watt. A metric that ties accuracy to energy changes which number you push on. My read: one of the frontiers in compute is a smarter router that decides, query by query, which one earns the watt. How many gigawatts we need isn't the only discussion point on the power debate.
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rushing for one last look at the deep clusters near the shrine exit i stepped right on those wet petals again sudden slide made my light skirt ride up a bit against damp thighs and the humid air hit fresh spots while i caught my balance quick
Dumb negro you’re not sending me genetic data. The study you sent ITSELF states that Nuerat clusters closest to modern n North Africans and west Asians and you started running away from the study and deflecting
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They weren’t all Ancient Egyptian samples cluster to modern North Africans and west Asians Stop running dumb ass boy. The study you sent literally states that Nuerat individual clusters with modern North Africans and west Asians Why do you ignore that?
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Why it matters: when the research clusters, so does the expertise. For Texas families facing a diagnosis, some of the best mesothelioma care anywhere is close to home.
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when I’m about to be blitzed to smithereens by the evil prehistoric world dictator but he lwk has the best lash game in the op verse so I ask him where he got his clusters before I disintegrate
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Just like SLC24A5 and AS3MT, BNC2 also shows extreme selection signals in the same West Eurasian populations (especially in the Caucasus hunter-gatherer and steppe clusters).
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No, African Americans are mostly SSA, Nuerat individual is NOT mostly SSA you dumb feral negro.Literally from your source it states that Nuerat individual clusters to modern North Africans and west Asians and it tells you how Morocco Neolithic is a mix of Natufian and IBM not SSA
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Brunson should get an endorsement deal with a major candy company to promote a new product. Something like King-Size Minis for Hershey or Reese's or Nestle. A play on words about his height and title prowess. A candy that's like bite size clusters but bigger.
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You dumb feral baboon read the study YOU yourself sent It states that Nuerat clusters with modern North Africans and west Asians And it describes how Morocco Neolithic is a mix of Natufian and iberomaurisian
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Replying to @TheReclamare
Nunavut has 40k people and about 100 suicides per year, often in clusters. There is no 'band', so I'm guessing its counted as one. Let me give you an example: a few years ago, Gjoa Haven had a cluster of 5 suicides/attempts in a week, in a community of 1300.
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Román Ramírez retweeted
Beowulf clusters are back!
One of the coolest in person demos at #wwdc26 was @lmstudio running massive local models on 4 daisy chained Mac Studios with a total of 2tb memory Then they pulled out an iPhone and chatted with those models remotely over a secure connection I need to find a use for this
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And the flags waving nicely today in front. Pretty quiet here today but still clusters of tourists from as far away as Iceland strolling around peeking through the fence. 4/4
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Lord Kos retweeted
🚀 Sneak peek of what’s coming Introducing Bundle Pressure, a new way to spot wallet clusters, track buying/selling behavior, and identify hidden supply concentration before everyone else. 📊 Bought Supply 📊 Held Supply 📊 Sold Ratio 📊 Wallet Count 📊 PnL Tracking @HeyAnonai
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Replying to @BGoodun76420
Oh it’s atrocious. However there are clusters of fairly well off (not necessarily rich) that work in the city (mostly outsiders) and live in a nice little bubble and they are having a grand old time, frequenting the bars and restaurants and trying all the different ethnic food.
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Neural clusters take time to form, though. There is very simply a limit to how quickly you can create a neural pathway in someone else's brain, constrained by how quickly verbal and visual input can generate novel pathways
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A wick printed near 59,100 and every screen refreshed. Bitcoin then settled back between 61,000 and 62,000, yet the tape showed no immediate follow-through volume. My read is that the move stays provisional until the underlying flows declare direction. Most commentary stops at the candle itself. What actually matters is whether ETF net purchases stay positive or flip, because those flows represent committed capital rather than leveraged speculation. Liquidations amplified the wick. When forced selling clears leveraged long positions, the price can overshoot without reflecting net spot demand; the same mechanism works in reverse on the way up. Until those liquidation clusters are absorbed, the level lacks structural weight. Exchange reserve changes provide the third filter. Rising inflows into trading venues often precede distribution, while sustained outflows point to cold-storage accumulation by larger holders. The two variables together override any single print. I'm watching for alignment across these three channels. When ETF flows, liquidation data, and exchange reserves all point the same way, the initial wick becomes a confirmed probe rather than an isolated event. What on-chain metric will you monitor to separate the next move from the noise? #BTCETF #OnchainFlows #LiquidationData
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Replying to @drummingoflove
i’m doing my clusters your priv will make me want to kill myself a little less
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