liuliu

On a laptop, yes. That's why it is not a primary device and you can revoke so it won't have continued access to your messages.

On the phone, no. You need to have a few 0-day to break into Secure Enclave to get access to Signal related keys.

If you think a device with storage mechanism that can simply connect to another computer and view all your keys is safe enough for your communication needs, then it is fine, you don't need to use Signal.

People use Signal because they don't want to be compromised when they just leave their phone / laptop unattended for a couple minutes on a bus or a train. They don't want to be in a situation if one day their laptop gets computer virus and they have to assume all these accounts are compromised and have to restart their digital identity all over again.

Might be the first then? I cannot remember. I disliked the last part of the story line, but not sure if that is the season 3 or season 2 + 3.

I enjoyed the first two seasons of Star Trek: Picard. Always knew this might happen some day, but always wished it can keep going.

I haven't evaluated this one, but for what I have, it seem the pplx-decider-v1.2 (and its -flash variant) are pretty good. Anyone evaluated all these open-source decision models on their own tasks? (I evaluated on MonitoringBench).

I think that is true for GLM-5.3 to some extents, this is not true for DeepSeek 4-series models as they compress KV aggressively.

SSD weights streaming. The actual weights is 552B, then engram.

Still need 2 or 3 days to properly quant this. But it is really good model to run if you have 64GiB or larger RAM on Mac. On M5 Ultra, you get ~3400 tok/s for prompt processing and ~50 tok/s for token generation, quite usable state.

The problem with SSD offload is the prefill time suffers, which is not really obvious.

MoE, especially these Chinese ones trained on low-bits already is actually quite quantizable to lower bits, unlike smaller / dense models.

Also: given that the human written bots are almost certainly in the training data, the winning rate against human-written bot seems to be not well-calibrated. You would expect at least they are 50% or better, given that they can "memorize" the best human-written bot.

Worth digging into the protocol and see what went wrong.

FWIW, single M5 Ultra with 256GiB runs DeepSeek 4.1 Flash 0910 just fine (~3200 tok/s prefill, ~45 tok/s). M5 Max w/ 128GiB runs GLM 5.3 Flash also fine.

I also benchmarked both on quality benchmarks (MathArena Apex / GPQA Diamond etc) to make sure the quality is what you get from the official numbers.