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Paul Harvey proslijedio/la je Tweet
A bunch of NUVIA
developer job listings now live:
* Firmware: https://jobs.lever.co/nuviainc/37d33230-c4ad-4f2d-a368-d7ef547f6f47 …
* Hypervisor: https://jobs.lever.co/nuviainc/f3ccb163-8947-4346-8fa2-32ba39c98101 …
* Linux: https://jobs.lever.co/nuviainc/270c4f6c-9d00-4441-85d5-725b6db5adda …
* Linux kernel: https://jobs.lever.co/nuviainc/0e84887e-8adb-4a54-be96-92bc28ee2c6b …
* Microcontroller: https://jobs.lever.co/nuviainc/714a80db-a3e8-403f-b088-cf2b91f489f8 …
* Toolchain:https://jobs.lever.co/nuviainc/95e4438f-5988-4d64-8cf9-07d86c010afd …Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Are these really sane states for a bug tracker? - New, Approved, Committed, Done Never seen this brand of madness before, is this what being old does to you
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Paul Harvey proslijedio/la je Tweet
You now get TLA+ from pip! It includes all the tooling, so you don't even need to download the .jar or IDE first. Just `pip install tlacli` and you're good to go. More on the project here:https://github.com/hwayne/tlacli
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Paul Harvey proslijedio/la je Tweet
One of the nice things about Andrew Gelman's blog is how benign posts routinely produce deep debates about foundations of statistics. This time, the concept of "calibration" (see comments): https://statmodeling.stat.columbia.edu/2020/02/01/forget-about-multiple-testing-corrections-actually-forget-about-hypothesis-testing-entirely/ … My attitude (new box in 2nd ed of my book):pic.twitter.com/TiP4n0TapN
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Paul Harvey proslijedio/la je Tweet
Giving a demo which contains rebooting the demo system and carrying on is fearless! Talk about reeling in the audience through suspense :D It’s astonishing how far
@GenodeLabs has pushed Genode. It is hard to appreciate how much hard work was put into making it look so seamless!https://twitter.com/ukvly/status/1223943573441327105 …
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Paul Harvey proslijedio/la je Tweet
Pointer Compression in V8 and what it means for browser exploitation by
@farazsth98 https://blog.infosectcbr.com.au/2020/02/pointer-compression-in-v8.html …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
It turns out I'm just an idiot. Of course these sources don't discuss this; they seem to come from worlds of passively processing harvested data w/little influence over collection subject or how/what is collected. They get the samples they get, why worry about sampling effects..
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I've had to go back to 2016/15 in
@DataSkeptic 's backlog to "Auditing Algorithms", "Too good to be true", "Bias Variance Tradeoff", "Sample Sizes", "The Curse of Dimensionality", "Data Provenance" eps touching on these but it's no "Hierarchical modeling and inference in ecology"Prikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
This is such a painful manifestation of the "telescopes vs astronomy" comparison,
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Status: trawling yrs of data science/ML/statistics podcast episodes to see who is talking about experiment/research design, data quality/context/threats-to-validity problems, how to reason about limitations on analyses thereof bc I lied to
@whitequark once that this was a thingPrikaži ovu nitHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Paul Harvey proslijedio/la je Tweet
Excited to see this come together - great team, great RB, great volunteers, great trainers, great speakers, great mentors - blessed with awesome sponsors

after 7 months of work this is happening in 6 weeks 
https://twitter.com/BSidesMelbourne/status/1223509541196718082 …
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Drucker & Deming are fascinating. "Turn the Ship Around", turning around a submarine crew, enjoyed this a lot. High performing teams: I haven't read a good text yet, but "Peopleware: Productive Teams and Projects" was highly recommended to me by someone I trust on this topic
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I'm just saying... we like to think we're good at systems thinking, but we rarely use it for the systems we use to build our systems :-) Literature on Quality Management, Safety Engineering, and High performing teams seem to have a lot of cross-over between each other.
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Which brings me to software & tech debt. Every legacy system was legacy the day it was born. So.. how does your team make decisions? Most SCRUM practice isn't sufficient; do you actually know where you need to be in 3/6/12/24 months? 5, 10yrs? Do you truly know your constraints?
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(The health industry has other things going on that are bigger than surgeons and mere cultural problems, but I digress)
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.. and of course aviation is intrinsically more repeatable than surgery, I mean: having systems of fearless accountability/consensus-building. What little exposure I have to the medical system suggests at least some aversion to peer review; or just unsolicited input in general.
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"On a wing and a prayer: surgeons learning from the aviation industry" https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2738773/pdf/360.pdf … highlights checklists, teamwork, simulations, "black box" (recordings). Both started 20th century at similar maturity levels, but av seems way ahead on accountability/repeatability imho
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Contractors holding each other accountable worked. Enabling folks to feel safe(r) in confronting and resolving discrepancies, I.e consensus-based decisions worked. Tasking, planning that considers human endurance limits generally but also of specific workers also worked.
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I even saw cultural problem solving; when we worked w/South Asian colleagues, they were often reluctant to disagree with (unfortunately stereotype-reinforcing) unprofessional .au staff; so they had them work in pairs, or at least a buddy system, to help them have disagreements
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.. it turns out “efficiency” in this context was a bad idea: now a single assertion by one worker could be the basis for a whole series of wrong decisions. So they tried doubling up: but they’re all on the same team, so they always ended up “forcing” their answers to be the same
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