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Gemini 4 Argon

https://deepmind.google/models/gemini/
1059•737max•10h ago•787 comments

Show HN: Guitoro, a virtual guitar you strum with your keyboard

https://guitoro.com/
314•talccc•7h ago•92 comments

Ledger confirms spy chip implant behind wallet crypto thefts

https://www.bleepingcomputer.com/news/security/ledger-confirms-hardware-wallet-spy-implant-behind...
480•thm•1d ago•357 comments

Show HN: Pulse Local, a Mac budgeting app whose AI models run on your machine

https://pulseos.finance
71•niztk•3h ago•33 comments

Redesigning source control at Anthropic

https://www.anthropic.com/engineering/redesigning-source-control
580•Philpax•11h ago•552 comments

Apple HomeView

https://www.apple.com/apple-homeview/
684•etothet•13h ago•797 comments

900-Page Pre-Pantone Guide to Color from 1692 (With Complete High-Res Scan)

https://www.openculture.com/2026/10/a-900-page-pre-pantone-guide-to-color-from-1692.html
65•mdp2021•1d ago•4 comments

High-speed video reveals how honey bee stingers pump venom

https://arstechnica.com/science/2026/10/honey-bee-stingers-are-double-piston-venom-pumps/
23•gumby•1h ago•2 comments

Thunderbird for iOS

https://blog.thunderbird.net/2026/10/thunderbird-for-ios-a-first-look-at-the-native-iphone-email-...
358•mjorgers•11h ago•161 comments

Firefox Enterprise

https://www.firefox.com/en-US/enterprise/
668•recvonline•15h ago•270 comments

Show HN: How random are you?

https://lab.specr.net/rigged-draw/
81•vunderba•10h ago•47 comments

Recreational Programming

https://www.cphiri.dev/presentations/recreational-programming
78•jslakro•4h ago•27 comments

I built a tool to track what AI leaders say and how their views change on video

https://blumify.io/people
15•gcsydney•1h ago•8 comments

I posted to HN, and then my website was flooded with AI bot traffic

https://www.sammystraus.com/#i-posted-to-hn-and-then-my-website-was-flooded-with-ai-bot-traffic
271•sammy0910•11h ago•152 comments

AlphaNIST

https://alpha-nist.github.io/
50•jasonjmcghee•5h ago•14 comments

The United Kingdom generates less electricity per person than in the 1970s

https://ourworldindata.org/data-insights/electricity-generation-per-person-in-the-united-kingdom-...
221•karakoram•11h ago•313 comments

New Apple TV 4K

https://www.apple.com/newsroom/2026/10/apple-unveils-the-new-apple-tv-4k/
305•corvad•13h ago•566 comments

PostEra (YC W20) Is Hiring AI Researchers for Drug Discovery

https://jobs.lever.co/postera/c7d50a36-db0a-4574-bfe4-8700b74a22c0
1•morraa•6h ago

Apple's new 'Switch to Safari' campaign details why you should ditch Chrome

https://9to5mac.com/2026/10/12/apples-new-switch-to-safari-campaign-details-why-you-should-ditch-...
205•ivell•12h ago•343 comments

MIT class project turns into an FDA-cleared treatment for tremors

https://news.mit.edu/2026/mit-class-project-turns-into-fda-cleared-treatment-for-tremors-1002
168•zdw•1d ago•31 comments

Show HN: XY Music Notation

https://music.xy.dev/
51•jmole•9h ago•40 comments

OpenAI engineer arrested in bugging of executive conference room

https://sfstandard.com/2026/10/13/openai-engineer-arrested-alleged-bugging-executive-conference-r...
441•forthwall•6h ago•388 comments

Maybe a better way to track the release history of a Git repo

https://blog.plover.com/prog/git/history-proposal.html
4•evakhoury•1d ago•0 comments

Physical Intelligence API Beta: Frontier Models for Every Robot

https://www.pi.website/blog/api-beta
38•modeless•5h ago•0 comments

How Do Cuttlefish Hide?

https://www.nytimes.com/2026/10/12/science/cuttlefish-brain-camouflage.html
13•marojejian•1d ago•2 comments

A Dynamic and Distributed Virtual GPU Cloud Built on Idle Apple Silicon Devices

https://machinelearning.apple.com/research/distributed-gpu-cloud
235•acossta•14h ago•96 comments

Show HN: Spotatui, a Spotify TUI/GUI without web API rate limits

https://github.com/LargeModGames/spotatui
58•LargeModGames•15h ago•9 comments

Hiking the world in search of rare cheeses

https://www.bbc.com/travel/article/20261007-the-man-hiking-the-world-in-search-of-rare-cheeses
69•tosh•1d ago•17 comments

Character.ai has initiated voluntary Chapter 11 bankruptcy

https://blog.character.ai/an-update-on-character-ai/
300•nryoo•19h ago•270 comments

The Four Colour Theorem: The first time machines mogged mathematicians

https://newsletter.pessimistsarchive.org/p/the-1st-time-machines-mogged-mathematicians
44•list•7h ago•29 comments
Open in hackernews

I built a tool to track what AI leaders say and how their views change on video

https://blumify.io/people
15•gcsydney•1h ago

Comments

gcsydney•1h ago
Hi HN, I'm Gaurav.

I've been building a tool that turns YouTube videos and podcasts into searchable transcripts. But somewhere along the way, I became more interested in a different problem.

How do you keep track of what influential people actually say, and how their thinking changes over time?

Take Sam Altman, for example.

In October 2025, talking about compute, he said, "there will come a glut for sure."

In June 2026, he said, "there will be a shortage forever."

Two statements, eight months apart. There may be perfectly reasonable context behind both, but I found it interesting that there wasn't an easy way to see them together, with the original recordings.

It currently follows 20 people in AI, including Sam Altman, Dario Amodei, Alex Karp and Marc Andreessen.

Every day, it looks for new interviews, podcasts and talks where these people are actually speaking, rather than videos of other people talking about them.

For each appearance, you get a short summary, key quotes and links to the exact moments in the original recording.

The feature I'm most excited about is *"What changed".*

It compares what someone says today with their earlier statements on the same topic. You can see both quotes, their dates and the original sources.

I'm not trying to catch people contradicting themselves. People should change their minds when new evidence emerges. I just think it would be useful to have a record of how their thinking evolves.

Building it has been more challenging than I expected.

A surprising number of videos with someone's name in the title don't actually feature them speaking. Reuploads are everywhere. And getting AI to reliably attribute statements to the right person is harder than simply generating a transcript.

I've built filters to handle much of this, and every published "What changed" comparison is still manually reviewed.

It's far from perfect. Speaker identification needs work, some podcasts aren't transcribed automatically, and I'm starting with English only.

On the economics side, a transcript and summary currently cost roughly one US cent in model processing. That makes tracking a fairly large history surprisingly affordable.

Everything is free to read. You can also follow up to three people, receive updates when they speak, and ask questions like "What has Dario Amodei said about open-source AI recently?" with answers linked to the original recordings.

I'm still figuring out which part is genuinely valuable: keeping up with people, searching their past statements, or spotting changes in their views.

I'd love some feedback from HN.

Who else should I track? Would you actually use the "What changed" feature? And if you find something incorrectly attributed or summarised, please report it. I'd rather find the failures early.

saintfire•47m ago
Quoting a Kai Lentit video as Dario Amodei changing his mind on regulation is peak slop.

Cool idea, I guess, but its just more slop to track the slop.

gcsydney•40m ago
I wanted to get a place where I can see get info. correctly and AI leaders changing their mind is a slop in itself.
FabHK•23m ago
Indeed. This is not Dario Amodei, despite the caption...

https://www.youtube.com/watch?v=DlTNN0gvkLM

Very funny, btw. "Can we please stop anthropomorphising the LLMs? They hate that."

gcsydney•15m ago
done..
toobulkeh•15m ago
Speaking nothing of the implementation, this is a very valuable concept. I’m curious if statistically there are trends to identify in beliefs or how beliefs spread over societies. You could likely use that data to determine thought leadership and information diets and measure things like distribution, how far the Bay Area is ahead, and other meaningful data for investments, etc.
gcsydney•8m ago
thank you for your feedback, I will definitely look into it.
dearing•8m ago
ahead?