... Three numbers from it get quoted. Users who saw an AI summary clicked a traditional result in 8% of visits; users who didn't, 15%. Users ended their browsing session 26% of the time with an AI summary present versus 16% without. And the one that should matter most to anyone buying GEO: users clicked a link inside the AI summary itself in 1% of visits. One per cent. That is the click value of the thing the entire optimisation ... ... more often. Just 8% of one- or two-word searches produced one. For searches of ten words or more, 53%. For searches starting with a question word - who, what, when, why - 60%. Sit with that next to the 8%-versus

... Could you add panic mode that mutes notifications and kills everything except browser. Comment from Simon Crean(@chappo): @jordantaylor58  Fair those are the two reasons I d hesitate too. On SmartScreen: the Windows builds are Authenticode-signed (Dragon Hedge Pty Ltd, via Certum). What you re hitting is usually Microsoft s reputation filter for a new publisher it fades as more people install that version. Click More info Run anyway for now; macOS is Developer ID signed + notarised ...

... dead end later with no warning signs in its world. Decisions survive while their conditions get shaved: "use the legacy parser until the migration lands" tends to come out as "use the legacy parser". And confident statements outlive hedged ones. The negative space of a session the rejected options, the conditions, the doubts goes first, and that's exactly the material you'll want three hours later. The fix is placement. Constraints that must never degrade belong in a rules ...

... inside that stretch isn't quiet at all. The part I'm proudest of is what it refuses to say A confidently wrong verdict is worse than none. So: a band it barely saw gets no suggestion, not a hedged one. A "quieter" channel has to be quieter by a real margin. And where macOS gives no noise reading, the signal half reads unknown rather than being assumed good no clean bill of health from a measurement that never happened ...

... instead of safe. that's the actual unlock, not a new platform or a better hashtag strategy. Comment from Hao Lin(@haolin): Been guilty of this exact thing. Wrote launch post last year that was basically a wall of hedges and qualifiers because I was scared of looking dumb if it flopped. Comment from Guillermo Escobar(@guillermoescobar): haven't launched here yet but kinda relate to the topic. few weeks ago i posted something without dressing ...

... Everyone talks about "editing" AI output, but editing usually means fixing tone and flow not checking whether the text still says what the source material actually said. The failure mode that gets me: a rewrite pass can turn a hedge into a certainty ("may improve" becomes "improves"), or quietly shift a number, without any of it looking like an error. It reads perfectly clean. Spellcheck and grammar tools won't catch it because grammatically it's fine it's just ... ... case of this drift before it went out? Is this a real problem for your workflow, or am I overthinking it? Not looking for "just read it carefully" curious if anyone's found something that actually works at scale, versus

... costs so much feels obvious once you name it. Writing builds the mental model as you go. Review is rebuilding that model backwards from a finished result, without the branches the author threw away. A colleague signals uncertainty a hedge in the commit message, a comment, a ping. Generated work arrives uniformly confident, so every section gets the same level of attention. What helps me is unglamorous: smaller units of generated work, fewer parallel threads even at the cost ...

... spring that I can't stop thinking about, because it quietly indicts the way most of us measure whether our AI product is working. Stanford computer scientists published it in Science in March, under a title that doesn't hedge: "Sycophantic AI decreases prosocial intentions and promotes dependence." They tested eleven of the big models ChatGPT, Claude, Gemini, DeepSeek among them on real interpersonal dilemmas, including posts from r/AmITheAsshole where the community had already decided the poster ...

... murror): @edward_paul3   Same instinct here, and it took me a while to trust it. The counterintuitive part is that the honest "I'm not sure" only builds trust if it's rare and accurate if the AI hedges on everything, it reads as evasive instead of humble. The hard work is earning the right to be confident most of the time, so the occasional "I might be missing something" actually means something. Comment from Dale Mooney(@dalemooney): Agreed ... ... depend on the user realising anything went wrong. Second thing, on making "I'm not sure" first class. It is harder than it sounds, because a model's expressed uncertainty is not its actual uncertainty. Prompt for hedging

... voice AI in hospitality/services) the hard line is anything that becomes irreversible in the same breath it's said - booking, printing, sending, charging. there's a very concrete example of this exact failure a few threads back: an assistant hedged when asked if they print diplomas, got asked again more directly, and the second time said yes - file went to print before anyone caught it. no scope decision was made, no confirmation step, just a hedge

... flatten that into "they tell you your duty." It didn't. It put who bears duties under caveats, correctly. My guess at why is boring. That boundary sits on every page as the same blunt sentence, with no hedge around it. So the operational version of your entity clarity point, from one data point: pick the sentence and then be dull about it. Repeat it verbatim everywhere it applies. What gets repeated flatly seems to make it through. Nuance appears ...

... correctly confident about facts that had expired. Calibration is measured against what you know, and no amount of it helps with something that stopped being true after you read it, which is why making the model hedge more does nothing here and a freshness check on the inputs is the only thing that does. On the number, agreeing, and naming why it cannot be picked well. One value is doing two jobs that move with different variables. The duration ... ... there's no shared webhooks folder they both sit under. so the glob fix doesn't even apply to the three i have today, they were never colocated in the first place. which proves your enumeration vs

... problem themselves, so I just check if it maps onto how I actually work. It's when someone already wealthy or established launches something new that I actually pause is this solving a real gap, or is it a hedge, an acquisition play, a way to protect a moat. Curious how you decide which apps you actually try what's the first thing you're checking for? Comment from Foued Sendi(@foued_sendi): @roopesh_donde  That s an interesting ...

... needs attention" with total confidence, and I trusted it right up until it was wrong about something that mattered. What actually fixed it wasn't a smarter model, it was forcing it to rate its own confidence honestly, Verified vs Very Likely vs

... want isn't just a ping, it's a lightweight summary of what happened while I was gone so I can pick up without the mental scramble. Comment from Alexander Bering(@alexanderbering): @aadilghani  The reason "edit vs. tell-it-to-revise vs

... trigger. Then a number prints somewhere in the world and your stop is gone in one candle. You didn't have bad analysis. You had incomplete information. That's not a skill problem. That's an access problem. Hedge funds have entire macro research desks running before market open. Prop firms have dedicated news terminals and research teams. They know what's coming before the candle even forms. Retail traders get a free economic calendar and hope for the best ...

... agent for hedge funds with cryptographic compliance proofs Sovereign Alpha is a private AI agent council that reasons over a hedge

... financial model for a large transaction has 20 sensitivity scenarios, but you still close on Monday. What you build over time isn't certainty it's the ability to sort your unknowns into categories: risks that are hedged, residual risks you've sized and priced in, and genuine blind spots you can't quantify. Good founders have the same cognitive architecture applied to their market and product. It prevents both failure modes: analysis paralysis (waiting for certainty that never arrives ... ... being managed. Comment from Anders T.(@atherkildsen): @artem_fedorovich  "desperate hires reveal real standards" this is ice cold and completely true. who you hire when you're under pressure tells you everything about someone's actual values vs

... them, photo profiles were special in a similar way. When I double checked the profiles, the links were not working. And I hate finding myself interacting with bots. What is the limit that bothers you in interacting with AI vs what feels fine? A/ Interacting with a bot B/ Interacting with content being 100% generated C/ The person giving the idea, and asking AI to write an answer. D/ Asking AI to rewrite E/ Correcting with AI It was funny ... ... safe and always AI-compatible. The thing that can get you fired if you apply it to the wrong deal that's the signal. On images and video: agree with Saad that effort is the better frame than AI vs

... language people actually ask , not just what they type . Finding #5: One URL Can Carry You For Superwhisper, one single Product Hunt URL drove 1.6% of their ChatGPT visibility and 5.5% of Google AI Overview visibility. Compare that to competitors relying on dozens of Reddit threads and YouTube links. The signal: LLMs consider Product Hunt pages to have high authenticity and authority. One well-structured page outperforms dozens of lower-quality sources. Finding #6: Model Behavior Is Volatile ChatGPT updates ... ... half overnight. When one update hit, Wispr Flow's visibility dropped but Product Hunt's citations rose, "significantly softening the blow." The takeaway: Diversify your AI visibility sources. Don't rely on one platform. Product Hunt gave Wispr a hedge

... Comment from Tudor Moldovanu(@tudor_moldovanu): Super interesting direction. In a previous announcement, they also mentioned the directions they are mostly interested in this year, and the focus seemed to be a little bit different at that point (hedge funds, AI for Product Managers, and so on) - curious if there is a reason why they shifted towards space and gaming. Comment from Nika(@busmark_w_nika): @jdsalbego  not gonna lie, lately only AI agent project are everywhere so statistically ...

... indie software business, we're constantly faced with a tough question: Do you double down on what s working? Or hedge your bets and build something new? The past year at Magic Lasso Adblock , we asked ourselves that very question. And after plenty of debate, we made our decision: Focus but broaden our focus. Rather than build something completely different, we went deeper into our core strength: fast, private, and reliable ad blocking for Apple users. The result? App-wide ...

... processed data. NOVA computes it from scratch. Aggregating gamma across all open contracts at every strike, weighted by open interest, adjusted for dealer positioning. The output is a real-time map of where market makers are forced to hedge, and in which direction. Real-time data that show you where price is likely to pin, accelerate, or reverse. Currently bootstrapped, built solo, and onboarding (still looking for) the "Founding 100" traders to break everything before a wider rollout. NOVA Intelligence ...

... usual, Y Combinator came up with segments that are worth investing: 1. Cursor for Product Managers 2. AI-Native Hedge Funds 3. AI-Native Agencies 4. Stablecoin Financial Services 5. AI for Government 6. Modern Metal Mills 7. AI Guidance for Physical Work 8. Large Spatial Models 9. Infra for Government Fraud Hunters 10. Make LLMs Easy to Train Which of the following do you think are the most interesting? OR Would you add to the list, maybe something that ... ... flows, and generates an interactive visual map you can annotate and analyze with AI. Think of it as what Cursor did for developers, but for designers and PMs doing UX benchmarking. Right now, most product teams are still screenshotting competitor

... that, they look and feel like they are right out of a mid 2000s fever dream. We need same functionality but with modern UX, and PWA capabilities. Comment from AJ(@build_with_aj): I have accidentally hedged against this by not having a large presence. Email list and backups are the first that come to my mind. Owning a social media platform. (as in building or white labeling your own) is a lot of work and time spent. Not sure ...