Neil

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Neil

Neil

@ncameron

Founder, ResponseHub. Saving teams from security questionnaires.

London Katılım Aralık 2008
2.2K Takip Edilen1.3K Takipçiler
Neil
Neil@ncameron·
- research calls at problem / solution fit search vs product / market fit search - how to balance early stage sales with early stage validation - mom test 101 - How does AI in 2026 change the game? E.g. quick and free to build stuff to test, should we just test the thing and validate that?
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Charlie 'Ramen Space’ Ward 🍜 (ramenspace.com)
I'm writing a presentation on 'User Research for Founders'. Think the 80/20 focus busy founders should (and shouldn't) be working on. What should it include? What questions do you have?
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Neil
Neil@ncameron·
@mstafford I got Merlin-pilled over the weekend, I'm now identifying birds everywhere I go
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Matthew Stafford
Matthew Stafford@mstafford·
Checks out... I just sat in the garden for 20 mins, and once the leaf blower stopped I could hear the robin and it was just terrific 🐦
Aakash Gupta@aakashgupta

Your brain has a circuit that doesn't know you live in a city. Its only job is to monitor whether birds are still singing. Right now, in this room, it is on. The circuit predates primates. Mammals have been using ambient soundscape continuity as a predator-detection system for roughly 200 million years. Birds stop singing when something larger moves through their territory. For most of mammalian history, a forest full of song meant no large predator was nearby, and the cessation of sound was the warning. Your nervous system never updated this software. The Max Planck Institute tested the inverse in 2022 with 295 participants. Six minutes of birdsong dropped anxiety with a medium effect size. Six minutes of traffic noise raised depression with the same. The effect worked on subjects who lived in dense urban environments and had no regular contact with nature. The brain still ran the check. Birdsong sits in the 1,000 to 8,000 Hz range. Your brainstem reads continuous patterns in that band as a signal that nothing dangerous is currently moving through the environment. EEG data shows birdsong at 45 to 50 decibels boosts alpha wave activity by 14.1% relative to silence. Alpha is the brainwave signature of relaxed alertness. Push the same birdsong above 60 decibels and the response flips. Stress markers rise 29%. The circuit only trusts the signal at the volume of quiet conversation, which is exactly the volume birds sing at from a typical distance. Three things happen simultaneously when the brain registers ambient safety. The amygdala downregulates. The parasympathetic nervous system takes over from the sympathetic. Heart rate variability rises, cortisol drops. The posterior cingulate cortex, which sits at the center of the rumination circuit, quiets down. King's College London tracked this through a smartphone study with over 1,200 participants and found the mood lift lasted hours after the sound stopped. People diagnosed with depression got the same response as healthy controls. Most of what gets labeled mental fatigue is hypervigilance running in the background. Birdsong tells the circuit it can stand down, and the brain reallocates the freed compute everywhere else. A quiet park feels different from a quiet office because the parks have sentinels.

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Baretto (tiiny.com)⚡
Baretto (tiiny.com)⚡@_baretto·
BOOM! We just shipped the Tiiny Skill 🚀 Tell Claude "host it with tiiny" and get a link in seconds. Agents - we're ready for you 🤖
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Janaka Abeywardhana
Janaka Abeywardhana@janaka_a·
Bye bye London. It's been an amazing 2nd chapter.
Janaka Abeywardhana tweet media
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Neil
Neil@ncameron·
I listened to my fist AI generated podcast yesterday and it was genuinely excellent. I know NotebookLM is old news but I finally had a use case for it. Yesterday I walked along the Thames from North Greenwich to Woolwich. It's one of the less famous stretches of the Thames, but I wanted to learn about the history of that area. NotebookLM generated me a 20 min podcast which I could listen to as I walked. Two remarkable things: 1) the content and delivery was good enough to keep me listening. 2) the subject was super niche but excellently researched and brought to life. The future for personalised content is going to be interesting.
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Neil
Neil@ncameron·
Doing a little Londonmaxxing -on-Thames today. Unbeatable.
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Ryan Carson
Ryan Carson@ryancarson·
Going to deploy an openclaw marketing manager next. Who has some killer skills they can share?
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Neil
Neil@ncameron·
Added an "AI slop" detector to my daily keyword monitoring agent, made the output much high signal and easier to parse
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Neil
Neil@ncameron·
Delve is fishy AF and I wouldn’t touch them with a barge pole BUT You have to think: who has most to gain from delve-gate? Why is it anonymous? Who would benefit from taking out a plucky upstart? An entrenched incumbent? A pluckier upstart? Or perhaps it’s just a truth-seeking ethical journalist.
Karun Kaushik@karunkaushik_

There’s been a lot of allegations against Delve. But we haven’t been able to share our side of the story until today due to ongoing cybersecurity and forensics investigations. Maintaining customer trust is central to everything we do. That said, we grew too fast and fell short of our own standard. To our customers, we deeply apologize for the inconveniences caused. We take these allegations seriously and have made changes: a new auditor network, free re-audits and pentests for all customers, enhanced transparency in audit communications, and more. However, we also want to set the record straight on the anonymous attacks. The evidence we have points to a targeted cyberattack from a malicious actor, not a “whistleblower.” We believe the attacker purchased Delve under false pretenses, exfiltrated internal company data, and used it to launch a coordinated smear campaign. The posts rely on a mix of fabricated claims, cherry-picked screenshots, and stolen data taken out of context. See the link in the comments for more details. Delve was built to modernize compliance. We are not going anywhere and are committed to building what's next.

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Neil
Neil@ncameron·
OK, this is working great for my sample Q&A pairs, but problem is there are only 4 pairs in my test and we send them all up in the system prompt. IRL we're going to have 200+ Q&A pairs, that's going to burn through tokens. Time to move from PoC to bake it into the app and make use of having a DB.
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Neil
Neil@ncameron·
Then we're going to run a loop and feedback the tool call findings back into the conversation until the doc is completed. It looks something like this
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Neil
Neil@ncameron·
For the tool calls, the docx gem is doing most the heavy lifting (github.com/ruby-docx/docx) So the tool calls are all quite light weight e.g
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Neil
Neil@ncameron·
The responses are either going to be in paragraphs or in a table. So we're going to create some tools for: "inspect_document" "get_table_preview" "get_table_cell" "set_table_cell" "get_paragraph" "set_paragraph_text" "find_text" "save_document"
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Neil
Neil@ncameron·
Here's how I think we can do it: - lots of tools calls for assessing the docx file - a loop which feeds back the findings of the tool calls to the LLM
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Neil
Neil@ncameron·
Today's project: agentic word docx manipulation. Reducto.ai has a great product but are charging a minimum of $25k for EU data residency. Since a docx file is just XML, how hard could it be to just, you know, manipulate the XML? Let's find out!
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