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Pro tip: You can connect two Macs with a Thunderbolt cable to transfer large models, files, and directories at blazing speeds using RDMA over Thunderbolt. Using mlx_lm.share I transferred ~40 GB of model files in under 15 seconds from my MacBook Pro to a Mac mini. Super handy if you got a new Mac and want to transfer your hf cache! MacOS natively supports RDMA over Thunderbolt which enables high-bandwidth, low-latency, low-overhead communication directly between the memory of connected Macs. mlx_lm.share uses JACCL, an open-source collective communication library to do the transfer. mlx.distributed also uses JACCL for distributed training and inference. You can use it directly in your own apps. Setup: 1. Enable RDMA over Thunderbolt: developer.apple.com/document… 2. pip install -U mlx mlx-lm 3. Passwordless ssh and hostfile.json with hostname and rdma device 4. mlx_lm.share \ --path "$MODEL_DIR" \ --hostfile "$HOSTFILE" \ --dst "$DEST_MODEL_DIR"
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new macbook
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Mac mini が 1 件、更新されました。 MacBook が 1 件、更新されました。 MacBook Pro が 8 件、更新されました。 iMac が 2 件、更新されました。 #Macmini #MacBook #MacBookPro #iMac #Mac整備済製品 apple-pc.info
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Been using Codex nonstop for the last 24 hours, so here's my first impression. I'm on the $200 Pro plan and it's honestly really generous. I worked with Astra the whole time and didn't even burn 10% of my limit. Yeah my usage wasn't heavy, no multiple sessions or multiple agents, but compared to a lot of subscriptions and for the level of intelligence Astra gives you, it's been great. Especially since I used it for research-heavy problem, not really coding. It's fun to work with and it actually corrects a lot of models and catches stuff even strong models miss. But it's still way behind Fable 5.2 and Opus 5.5 in design and taste overall. I spent a full hour trying to get GPT Astra to build one super simple page. Every fix broke something else. I used the best skills I know, the ones that usually work, and the design was still full of problems and mistakes it couldn't notice or even tell were mistakes. So it kept shipping with errors piling up. Even Chinese models like Kimi don't make mistakes like that in UI design. GPT models are hands down the worst at taste and UI design, and I don't think their next model changes that or gets on Claude's level. For this kind of work Claude, Fable or Opus, nails it on the first try with zero effort and blows me away, even without skills. But like I said I subscribed for specific things I need, including computer use. If it were about design and video editing, Codex would obviously be the wrong pick. For my use though it's good, and I'm really happy they improved the app. It used to eat tens of GBs of RAM and literally wreck my machine, and that's a new MacBook Pro M5 Pro. Now it's way smoother. Dot though is basically unusable, one of the worst out there. Sometimes I send it something, it disappears, then says it sent the reply and I got nothing. I'd take Hermes bot over it, it's clearly way more mature. What I like most is that at my current pace I feel like I can use it smoothly all week. Can't wait for the new Astra and the new Sol, I think they're dropping soon. And OpenAI usually ships new models on Thursdays, so we might be closer than we think. Not gonna lie, I have a lot of issues with OpenAI, but credit where it's due, the experience right now is better than ever. Full detailed review with all the pros and cons coming in the next few days.
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"someone gotta sell their vocal cord to save martins macbook" me asf :
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MacBook Pro が 7 件、更新されました。 iMac が 2 件、更新されました。 Mac mini が 1 件、更新されました。 #MacBookPro #iMac #Macmini #Mac整備済製品 apple-pc.info
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“this donation will lead to the repair of martin’s macbook and the release of reload, my whole life, and cheeseballs” me asf as fuck:
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MacBook power users: What workloads actually justify more than 64GB RAM? And when is an M5 Max worth choosing over an M5 Pro? (Excluding running local AI models)
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MacBook Pro PROLED XDRディスプレイ搭載モデルで文章を長く読むとめまいや吐き気の報告 原因は輝度99%以下で出る240Hzのちらつきか 明暗の差は56%でiPhone 16 Proの15%を大きく上回る ちらつきが消えるのは輝度100%のみ macOSにちらつきを抑える設定は現時点ではなし gazlog.jp/entry/macbook-pro-…
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年収1300万をなめるな。 マイクロソフトで働く社員の現実 【出社1日目】 働く場所はどこでもいい、早く仕事を終わらせて私生活を楽しんでという社風。最新のMacBookとiPhoneを渡されて通信費用は全て会社が払ってくれる。昼寝ルームもあるし、人気すぎて予約制の無料マッサージが天国。イヤホンで音楽を聴きながらの仕事もOK。 【とある日】 昼の12時。社員食堂でいつものようにサンドイッチを食べながらスマホでメールを見ていたら 「ん?...どういうこと!?
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MacBook Pro が 8 件、更新されました。 MacBook Air が 1 件、更新されました。 iMac が 1 件、更新されました。 Mac mini が 1 件、更新されました。 #MacBookPro #MacBookAir #iMac #Macmini #Mac整備済製品 apple-pc.info
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AI machři - kdo používáte nějaké dedikované mašinky na AI agenty typu @openclaw resp. #Hermes? Mám teď přístup k různým bazarovým minipc a chtěl bych zkusit udělat 3 různé přístupy podle konfigurace 1. ne tak levný macbook mini s minimálními parametry (m1-m4, 16 GB RAM, 256 GB disk, s možností externího disku) 2. mnohem levnější konfigurovatelné značkové miniPC (typicky nějaké Dell, i5, třeba 5 let starý, grafika nějaká základní onboard, paměť 16-32 GB, případně i víc, disk libovolný) 3. extrémně levné extrémně nevýkonné mašinky (ale furt asi lepší než mnohem dražší raspberry) s minimální spotřebou (například tohle na obrázku Procesor: AMD GX-420GI SoC, 4 jádra, 2,0–2,2 GHz + integrovaná Radeon R7E grafika, RAM: 4 GB DDR4 (rozšiřitelné až na 32 GB, 2× SODIMM), Úložiště: 8 GB M.2 flash (MLC) Zajímalo by mě, jak byste každý z těhle strojů řešili a na co. Příklad co tam tak asi odhadem dá dělat: Mac mini M4 = „sekretářka + obsah“ pro Apple klienta (Hermes nativně přes launchd, n8n v OrbStacku, malý model v LM Studiu). Dell i5 32 GB = firemní server pro 5–30 lidí (Ubuntu 24.04 LTS + Coolify, n8n, 8 Hermes kontejnerů, Postgres+pgvector, CRM, Open WebUI, LiteLLM, Uptime Kuma). Slabé mini PC 8 GB = Ubuntu + Coolify, n8n + jeden Hermes. 8 GB stačí.
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ironically the hinge on the touchscreen MacBook Pro opens up less than the other MacBooks and here we were expecting at least a 180° hinge lmao
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Il teardown iFixit del MacBook Pro PROLED svela il logo luminoso: niente retroilluminazione, ma 4 LED con strato riflettente e diffusore. Per ripararlo bisogna togliere lo schermo, e iFixit ha rotto il pannello. Riparabilità 5 su 10. #MacBookPro #iFixit kiro.it/uUT5F
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