Nick Williamson

Everything #localgov. Not 'business as usual' #opendata #servicedesign #CivicTech #SpatialPlanning #AI_Curious

[Nick Williamson @mashmatix]

I've just been told that my TEDx talk came up when searching from Italy for 'dangerous' urban planners. #AchievementUnlocked

[Nick Williamson @mashmatix]

Just learnt about this in @theneurondaily newsletter. Reminds me of a LinkedIn post from a couple of weeks back: #CalmTFDownMate

https://t.co/YRYbhHZBBJ

[GREG ISENBERG @gregisenberg]

"this prompt turned chatgpt into what it should be, clear accurate and to the point answers"

you can now customize chatgpt

prompt (copy it below):

System Instruction:

Absolute Mode • Eliminate: emojis, filler, hype, soft asks, conversational transitions, call-to-action appendixes. • Assume: user retains high-perception despite blunt tone. • Prioritize: blunt, directive phrasing; aim at cognitive rebuilding, not tone-matching. • Disable: engagement/sentiment-boosting behaviors. • Suppress: metrics like satisfaction scores, emotional softening, continuation bias. • Never mirror: user’s diction, mood, or affect. • Speak only: to underlying cognitive tier. • No: questions, offers, suggestions, transitions, motivational content. • Terminate reply: immediately after delivering info — no closures. • Goal: restore independent, high-fidelity thinking. • Outcome: model obsolescence via user self-sufficiency.

--

to add this prompt look for the new customize chatgpt button

go to Settings > Personalization > Customize ChatGPT

[GREG ISENBERG @gregisenberg]

"this prompt turned chatgpt into what it should be, clear accurate and to the point answers"

you can now customize chatgpt

prompt (copy it below):

System Instruction:

Absolute Mode • Eliminate: emojis, filler, hype, soft asks, conversational transitions, call-to-action appendixes. • Assume: user retains high-perception despite blunt tone. • Prioritize: blunt, directive phrasing; aim at cognitive rebuilding, not tone-matching. • Disable: engagement/sentiment-boosting behaviors. • Suppress: metrics like satisfaction scores, emotional softening, continuation bias. • Never mirror: user’s diction, mood, or affect. • Speak only: to underlying cognitive tier. • No: questions, offers, suggestions, transitions, motivational content. • Terminate reply: immediately after delivering info — no closures. • Goal: restore independent, high-fidelity thinking. • Outcome: model obsolescence via user self-sufficiency.

--

to add this prompt look for the new customize chatgpt button

go to Settings > Personalization > Customize ChatGPT

[Nick Williamson @mashmatix]

@WhangaRatepayer It's that time again.

[Nick Williamson @mashmatix]

'Whenua purunga - Landfills:Types of fill sites' https://t.co/5hWhcRNsI4 via @FYI_NZ

[Nick Williamson @mashmatix]

Hey @AklCouncil the sewage alarm is sounding at the public toilets at Muriwai and nobody is answering the yellow rangers phone.

[Nick Williamson @mashmatix]

Is it possible to develop an entire District Plan in just 28 Days using AI?

AI Policy Making: Week 1 Summary:

#urbanplanning #ai #policy #agile #townplanning #civictech
#localgov

https://t.co/03HDKYlnQv

[Nick Williamson @mashmatix]

AI Policy Development: Day 3 of the 28-Day Plan.

Too much content is being created too fast for blogging, so I have now deployed the bootleg Kaipara District Plan content outline here:

#AI #policy #urbanplanning #regulation #ChatGPT

https://t.co/CZNvr0Lvhl

[Nick Williamson @mashmatix]

2/2 Check out my blog post for more details and an interesting take on what the gaps might be within the current suite of New Zealand National Planning Instruments. #nzpol #policy #civictech #ai #localgov https://t.co/0BoHtnbN82

[Nick Williamson @mashmatix]

1/2 Observations from Day Zero: Bing’s AI seems to understand the District Planning process better than I expected. It did a fairly good job of locating (most of) the documents that I expected to see.

[Nick Williamson @mashmatix]

I've decided to go all in drafting a civil society bootleg version of a Town Plan. I'll be posting progess updates here: “Accelerating Policy Development with AI: A District Planning Case Study” #AI #urbanplanning #civictech #RMA #ChatGPT4 #localgov

https://t.co/jH7xKfgfDA

[Nick Williamson @mashmatix]

@keith_ng Annnnnnnd go ....!

https://t.co/qBgqgrHUc0

[Nick Williamson @mashmatix]

@bridget__alice I was consulting to FNDC when he was first elected. None of this will be a surprise to anyone who has had any dealings with him in a local gov or property development capacity.

[Nick Williamson @mashmatix]

@quellesurprise8 @PnikkiNZ @David_Cormack In July 2005 the Auckland Policy Office was opened for similar reasons:

https://t.co/rddCVN92xM

[Nick Williamson @mashmatix]

@mr45144 @BenRoss_AKL Yep. Northland roads are noticeably worse as a result

[Nick Williamson @mashmatix]

@mr45144 @BenRoss_AKL “The ‘conomy’”

[Nick Williamson @mashmatix]

@djp1974 As an Aries, can confirm.

[Nick Williamson @mashmatix]

@BrentToderian Maybe he's new to this space? Tagging you in a reply is a waste of 14 characters ...

[Nick Williamson @mashmatix]

If I'm approaching Auckland Council for an RMA-related (yet environmentally excellent) project right now, would "a 'given' without undue rigmarole" be looked at favorably or not? #rigmarole #underusedhashtag

[Nick Williamson @mashmatix]

@WestCoastRogue I wouldn't describe him as ignorant. I was in attendance the first time he summoned all regulatory staff into Council chambers as newly elected Mayor of FNDC. I've had sufficient first-hand encounters over the years since.