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peytoncasper

Re:CAPTCHAs have failed for 20 years on Wednesday June 24, 2026 @02:18PM (#48663718)
Hey Matt,

I would say everyone is leaning towards organization/individual right now but I would image that flips as the number of agents grow

Re:Gemini 2.5 Computer Use model on Wednesday October 08, 2025 @01:38PM (#45518643)
Actually a few startups working on this! You should check out Stytch isAgent SDK.

We’re partnering with them on Web Bot Auth

Re:Gemini 2.5 Computer Use model on Wednesday October 08, 2025 @01:36PM (#45518611)
We do not use click farms!

You should check out our most recent announcement about Web Bot Auth

https://www.browserbase.com/blog/cloudflare-browserbase-pion...

Re:Gemini 2.5 Computer Use model on Wednesday October 08, 2025 @01:35PM (#45518604)
You should check out our most recent announcement about Web Bot Auth

https://www.browserbase.com/blog/cloudflare-browserbase-pion...

Re:Gemini 2.5 Computer Use model on Wednesday October 08, 2025 @01:35PM (#45518601)
We do not use click farms :)

You should check out our most recent announcement about Web Bot Auth

https://www.browserbase.com/blog/cloudflare-browserbase-pion...

Re:Gemini 2.5 Computer Use model on Wednesday October 08, 2025 @01:31PM (#45518568)
Let’s chat my email is peyton at browserbase dot com
Re:Gemini 2.5 Computer Use model on Tuesday October 07, 2025 @05:38PM (#45509240)
Hi! I work in identity products at Browserbase. I’ve spent a fair amount of time lately thinking about how to layer RBAC across the web.

Do you think callbacks are how this gets done?

Gemini Flash 2.0 Experimental: A bit more accurate, but slower

I just updated my data extraction leaderboard with Gemini Flash 2.0 Experimental. It is quite a bit slower with large input token sizes right now, but a bit more accurate than Gemini 1.5 Flash which is at the top right now. Google and AWS are pushing out really competitive models right now.https://coffeeblack.ai/extractor-leaderboard/index.html

( Read More... | 1 comment | 2 points | on HN )
Author here. Someone beat me to posting this lol. Was planning to share it on Monday. Happy to answer any questions.
Re:The McFlurry Index on Friday October 18, 2024 @07:16PM (#41884341)
How is it different than crowdsourcing?
Would be happy to answer questions as you have them.
Can I suggest that you ignore all the criticism about the pricing on this thread and immediately find a sales rep or SE that has worked at an early stage DB company and begin cold calling high end customers with thousands of GPUs.

B2B deals at 200-300k+ are your best bet at selling this IMO.

How is this different from oil?

The vast majority of new deposits are leveraging different technology to enrich yields or extract it from challenging environments. Seems like a common problem for resource extraction that gets solved with time and investment.

Why don’t we put Tor nodes in space?

Seems like a few hundred micro satellites could circumvent sovereignty this way.

Yeah, I was a bit shocked to see this. Not because it shouldn't be easily accessible, but because most women I've talked to about this has gone through some sort of dialing in process. Whether its for dosage or a different brand. Hormones are not easy.
I’m not taking a side of whether Elon is right or wrong.

However, you mentioned that today is an admission that the bot problem is worse. However that not true, the restrictions are specifically on viewing data (scrapers) rather than creating data (bots).

Interesting use case, would you be open to sharing more information on how you're using LLMs for chemistry simulations?
Re:GitHub Copilot emits GPL code on Friday April 21, 2023 @04:02PM (#35659221)
What happens if GitHub didn't use GPL licensed code, but still generated code that was identical to GPL licensed code?
In GA there is an annual EV tax applied that is meant to replace the fuel tax when you re-register your vehicle.
Re:Using AI tools to design an entire website on Sunday February 19, 2023 @06:11PM (#34862868)
I'm truly amazed at this opinion which seems to be prevalent on this thread. The models are tools that already have the ability to accelerate your work now, and will massively improve over the next decade. Comparing it to things we already know how to do provides the ability to benchmark and see how much value it brings to the table. Being on the forefront, exploring, and hacking on side projects has always been the best way to understand new stuff.

"Using cars to drive down roads we already know how to traverse with horses and just add more complexity is bound to not go anywhere useful in my opinion."

Find them on LinkedIn and ask to grab a cup of coffee or jump on a Zoom. Be open about the fact that you're interested in what makes a good member of the team. Ask about what you can be upskilling on. Be friendly.

Also doesn't hurt to reach out to potential managers as they'll be able to provide more direct feedback.

I won't pretend to know how top tier ML companies hire for research positions, but for literally any other job, the cost of applying is trivial. Throw in some outbound to members on the team for a potential connection and it seems like it's worth the cost for a dream job?

Add to the fact that OpenAI is almost certainly going to be expanding wildly given that they have taken on a 10B investment, it seems like as good as a time as any.

I saw in another thread that people were working around this by asking for a summary of sections and then combining the summaries and asking for a joint summary.

Kind of like map reducing the articles.

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