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🤖 From this week’s issue: Ollama 0.19 launches MLX-powered inference on Apple Silicon, delivering ~2x gains in prefill and decode speed on M5 chips, with NVFP4 quantization support and smarter KV cache reuse for agentic workloads.
https://x.com/dl_weekly/status/2042694209224781956
Apple at 50: Former insiders on how the iPhone maker can win with AI
https://www.cnbc.com/2026/04/04/apple-50-anniversary-ai-iphone-siri.html
Apple Shows Its Cards, Plans To Move The Production Of Its Upcoming Baltra ASIC In-House
https://wccftech.com/apple-shows-its-cards-plans-to-move-the-production-of-its-upcoming-baltra-asic-in-house/
If Huawei hadn’t been banned from TSMC in 2019, @dylan522p thinks it would have already eclipsed Apple as TSMC’s biggest customer. And that it would have better AI chips than Nvidia. Before it was banned, Huawei was actually the first to ship a 7nm AI chip — two months before
https://x.com/dwarkesh_sp/status/2040081903013822796
MLX creator @awnihannun sharing the story of MLX. Apple management called him right after the launch: “why didn’t you tell us this was going to be so big??” 😂
https://x.com/ronaldmannak/status/2042425851455902152
I’m open-sourcing an MLX port of the ESM-2 protein model family so more people can tinker with AI & biology on Apple silicon! (1/5)
https://x.com/josephjojoe/status/2041215366177636468
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