KatieB @AntiDefault

Default gravity: AI accelerates the pull to the average. Cog sci x tech since 2005: UCSD neural nets to modern AI. California-born, Alaska-rooted. kodiakfresh.com Alaska & California Joined December 2010

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KatieB @AntiDefault

4 days ago

Gmail auto-drafted a lengthy, specific reply this morning. Thorough, well-structured, almost exactly the main outline of what I'd planned to say. That's what made it dangerous. The generic AI draft is easy to refuse. The near-miss (but sounds right because its in your own voice) is the one that talks you out of your own judgment. Giving into default gravity is strongest when it's wearing your clothes. We're all inside the great shaping machine.

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KatieB @AntiDefault

4 days ago

PPC hot take: most “bad ads” are actually “confused offers.” Before you touch your headlines, answer: 1) Who is this for? 2) What pain does it solve? 3) Why you (proof)? 4) What happens next (CTA)? What’s your #1 PPC bottleneck right now?

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KatieB @AntiDefault

4 days ago

@Adnan_Ai2 are you saying you still have access to 4.6?

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KatieB @AntiDefault

6 days ago

I made a bet 15 years ago. Matt Cutts, 2011: stop building for the algorithm, build for the user. The algorithm is converging on the user. I took him at his word. Built on strategy, trust, authority. Let everything that expires, expire. The bet is still paying out. The AI engines cite who they trust.

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KatieB @AntiDefault

a week ago

A practitioner I respect stopped touching #GoogleAds for 3 months. Ramped #MetaAds heavily. The return showed up in Google. The cross-platform effect is real. The cross-platform data is not available to us.

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KatieB @AntiDefault

2 weeks ago

@dogecoin you mispelled hodl and chill

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KatieB @AntiDefault

2 weeks ago

Turns out humans (still) want humans. #SEO Tailor your brand for the humans you serve. When it comes to content, less is more because real is everything. @semrush

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KatieB @AntiDefault

3 weeks ago

As we head towards zero-clicks from #SERPs, think about what your business can do beyond words on a screen. What does someone need from you that they can't get from an AI overview? Lead with that. #SEM

Rohan Paul @rohanpaul_ai

a month ago

Fei-Fei Li warns that AI may be staring too hard at language models. The world is not just text on a screen. It is physical, visual, spatial, and always changing. Most of the economy runs on seeing, moving, interacting, and embodied intelligence.

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KatieB @AntiDefault

4 weeks ago

Even more so for AI-sentiment. When a normie asks "what do they mean by K-shaped" you can show them this visual.

Charlie Bilello @charliebilello

4 weeks ago

The S&P 500 is at an all-time high while Consumer Sentiment is at an all-time low. We've never seen a gap this wide between Wall Street and Main Street.

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KatieB @AntiDefault

4 weeks ago

I keep hearing digital marketers saying we need better #SEM attribution. My position is that attribution is broken at the data layer. Currently, our controlled-spend experiments are producing honest signals. #PPC #GoogleAds

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KatieB @AntiDefault

4 weeks ago

@theCTwelve @GaryMarcus most underrated comment

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KatieB @AntiDefault

4 weeks ago

@Fa21519230 will we still need humans? "uhhh, not for most things, uhh... we'll decide... *laughs*... " Who's 'we,' Bill?

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KatieB @AntiDefault

4 weeks ago

@neilturkewitz @GaryMarcus will we still need humans? Bill Gates: "uhhh, not for most things, uhh... we'll decide... *laughs*... " Who's 'we,' Bill? youtube.com/watch?v=uHY5i9…

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Ryan Liu @theryanliu

11 months ago

A short 📹 explainer video on how LLMs can overthink in humanlike ways 😲! had a blast presenting this at #icml2025 🥳

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Griffiths Computational Cognitive Science Lab @cocosci_lab

2 months ago

New preprint explores how large language models navigate the conflicts of interest involved in introducing advertising to chatbots

Ryan Liu @theryanliu

2 months ago

Will AI assistants with ads prioritize making money over helping the user? Our paper establishes how language model behavior could change given a directive to advertise. We find drastic decreases in user helpfulness: - 18 / 23 language models prefer to promote sponsored

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KatieB @AntiDefault

4 weeks ago

@GaryMarcus Which makes it less a future generalization risk and more the present structural state. Not deception by the model, but a sequence built upside down. Moral framing produces guardrails. Structural framing produces a rebuild, which is the actual diagnosis.

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KatieB @AntiDefault

4 weeks ago

@GaryMarcus We're looking at the classical trivium built upside down. Rhetoric (persuasion) fully operational, dialectic (logic) patchwork, grammar (the structural relationships between words) lost at tokenization. "Quality drops as you judge longer" is rhetoric doing all the work alone.

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KatieB @AntiDefault

4 weeks ago

right! Going back to Aristotle and the classical trivium: society's grammar is broken, dialectic is half-built, so rhetoric ends up doing all the work, persuading us across a crumbling foundation. Same structural pattern in humans (your "defending positions") and in models (the "fooling us" graph above).

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KatieB @AntiDefault

4 weeks ago

@GaryMarcus Genuine question: your neuro-symbolic case has been on the table for years, and METR's finding looks like the failure mode it's designed to address. What's the actual blocker on symbolic-layer-on-LLM getting adopted at scale: engineering, economics, or lab incentives? Or something else?

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KatieB @AntiDefault

4 weeks ago

#Claude is willing to write a blurb if asked for one, but typically doens't convert a review into a blurb if youre also wanting it to keep the framing. Also, Claude's instructions explicitly tell it not to become more submissive in response to #LLM abuse, so escalation stiffens the response rather than breaking it

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KatieB @AntiDefault

4 weeks ago

@burkov Two tips: 1) instead of repeating "I said..." simply go all CAPS on the repeated instruction. 2) BRO gets better results than "moron!" Only every time, bro.