Today we’re announcing an agreement with Amazon Web Services to bring tens of millions of AWS Graviton cores to our compute portfolio. This partnership marks an expansion of our diversified AI infrastructure and will help scale systems behind Meta AI and agentic experiences that
COMPUTING
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AI Model Limitations and Human-AI Collaboration in Coding
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You're right It's mostly bs Until the models are smart enough to see the grand scheme of things AND have architectural understanding AND taste, it doesn't work A human telling an AI what to code or edit though yes that works great
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Added dedicated squat rack AI amenity in photo analysis software
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"Squat rack (999b7e2): the option sent SQUAT_RACK to amenities_json where no such code exists. Added a dedicated squat_rack AI amenity in workers/findAmenitiesInAIPhotoDescriptions.php (subset of weightlifting, %squat rack% + %power rack%), ran the
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Anthropic’s Infrastructure Tested as Demand Exceeds Capacity
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Day 1 availability at scale is the real test. Anthropic just showed what happens when demand outruns infrastructure. Let's see if this holds under actual load.
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Powerful AI Models Released Demanding Substantial Hardware
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And here we are! Finally, after nearly 15 months of waiting. These models are monsters though. Even the “small” one will require substantial hardware to run on.
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Energy Demand Rising: AI, Data Centers Drive 30% Growth by 2040
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Energy demand is rising fast. AI, data centers and electrification shape the next phase of energy systems, with global demand expected to grow by 30% by 2040. No single source can meet this alone. Info: http://
europeenergyweek.org #EuropeEnergyWeek #HannoverMesse @EEWeek partner -
xhigh GPU settings excessive for most practical AI applications
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yah xhigh is overkill for almost all use cases.
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DeepSeek-V4 Breakthrough: Massive KV Cache Efficiency Gains
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DeepSeek-V4 just dropped! And it's solving one AI's biggest problem today: It runs 1M-token context at 10% of the KV cache and 27% of the inference FLOPs of V3.2. Here's what that means. KV cache is the memory footprint your GPU holds for every token already in context. It
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AI Models Generate Procedural 3D Simulation of Harbor Town Evolution
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I had a range of models "build me a procedurally generated 3D simulation showing the evolution of a harbor town from 3000 BCE to 3000 AD" in one prompt.
— Ethan Mollick (@emollick) 24 avril 2026
You can play the full gallery here: https://t.co/FEfKL7uKHV
Or read my write up about GPT-5.5 here: https://t.co/Pn3CCsnlDw pic.twitter.com/r9sTcxfqodI had a range of models "build me a procedurally generated 3D simulation showing the evolution of a harbor town from 3000 BCE to 3000 AD" in one prompt. You can play the full gallery here: https://
hg-20f7d1a3ce.netlify.app Or read my write up about GPT-5.5 here: https://
oneusefulthing.org/p/sign-of-the-
future-gpt-55?r=i5f7&utm_medium=ios&triedRedirect=true
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