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Glad to hear it's not just me. Happened repeatedly on my flights I took last week. I have had all 3 generations of the Pros, this is the first time experiencing this. Also left AirPod only.


Has been for close to a week now! Mine is already through Canadian customs after shipping from China. Purchased via Wisdpi.

I think they opened sales the same day that GL.iNet announced their new cloud KVM.


> I normally work about one day trickle out my changes during the the week. The other days I only open my computer for standup and if I get an IM.

They said exactly that though. They work one day a week and otherwise just log on for standup and when messaged.


Ya that's why I still agree mostly with OP in this particular case it seems something is off.

I just wanted to explain that with software, a small effort can deliver huge returns. So the idiom of: "Don't work hard, work smart" is in full effect. If you can deliver on the expected business value with less effort on your part it is still a win/win scenario. A business who'd replace you for someone who fills up all 40 hours would not necessarily gain anything, in fact, might lose on ROI. Hours put into software does not translate directly into the output delivered.

And, there's only so much creative juice per week you can deliver on, so that cleverness of solutions you can come up with, and those good ideas you have which don't take very long to implement, but deliver big returns, you can't necessarily just be asked to come up with them twice as often by working more hours either. In fact, sometimes those come by taking a break, a step back, getting more rest, etc.

And maybe since we're on the topic, I've had a fare share of jobs prior, server, construction, military, and yet nothing drains me more than software engineering at the end of the day, even if it was only a 6 hour day. There's something about just thinking all day and discussing heavily all day that is super draining mentally. Where other jobs I've had that were more physically demanding tired me, but in a good way, that almost energized me in my off time. The mental work is hard.


Seems to leave the hearing impaired party as an outsider that is observing the conversation. Great step forward to giving the hearing impaired a foot in the door, so to speak. I'm curious to see where tech like this continues to develop to create an equal playing field for the hearing impaired within the conversation.


My Grandma is slowly losing her hearing - one ear is 100% deaf while her other remaining one is at about 50%. She uses a CapTel speech to text phone with a huge display to understand what is said when people call her. It generally works well, but she only has one in her family room. She struggles to hear especially when there are multiple people speaking and there is background noise. I've learned techniques to improve her comprehension, but it can only go so far (If interested, here's a few: make sure you're looking at them when talking, speak in a 'deeper tone', don't rush your words, continually repeat what was said until they understand, etc).

Almost everyone in the United States has a phone. If I could download an app that runs this program along with my cousins, and have my Grandma use her 'iPad' (Nook tablet) to understand, with the assistance of something like Transcense, that would be amazing. By linking several microphones, they may be able to cancel out background noise and only highlight the specific speaker, and that would be a fantastic advance.

I'm wondering what their current state of Transcense's speech recognition is, however. From the video, it did see like there were some errors. I'm sure a deaf user can understand what was meant to be said using context of the conversation, but in a business meeting a misunderstood word can change the whole meaning of the sentence or message. I've used Siri, Dragon Naturally speaking, et al and while they're good, they're not perfect. Dragon in particular supposedly can be taught and learn the user's unique style of speech, so I'm also curious if Transcence will be going the route of machine learning and NLP.


That's a good set of rules. I'll add one more - keep the sentences short. Some people say a whole lot without having anything much to say.


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