gsharma

Joined 16 years ago

Karma
982
Submissions
179
Member since
Sep 30
@gsharma Email: HN ID @gmail

[ my public key: https://keybase.io/gsharma; my proof: https://keybase.io/gsharma/sigs/-C5me_DFK4qZYayMHafb5tHn_alrYLCkunbENDndTg8 ]

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Recent submissions

Comment · 11 months ago
No, it’s the other way around. Comment above is confused about the relationship.
Comment · 1 year ago
My HN username is also my gmail. I've got most of the stuff you mentioned, including unencrypted copies of US tax returns (with SSN) and house buying paperwork.

> I used to reach out and tell them I didn't sign up for their service. But honestly, after doing it for a few years I gave up.

Same here. It's surprising that most of the services don't use double-opt in before sending emails.

Some day, I want to use an LLM to identify those emails and label them.

Comment · 2 years ago
Probably this is why MyQ/Chamberlin doesn’t support HomeKit.
Comment · 2 years ago
The deal isn’t always about the price. For example, a $1M house bought with $100K down and $900K mortgage is a worse deal for the seller as compared to $500K down and $500K financed. Assumption here is that it is more likely to get a $500K loan irrespective of the appraised value of the house.

A lower all cash offer (say $975K) is likely a better offer for the seller because it reduces the risk for them and closes the transaction much quicker than a mortgage transaction.

I have been a buyer in two transactions where my offer was slightly lower than the highest bidder, but with better terms.

Comment · 2 years ago
HTML emails were there before, but I agree that fast UI and threads was a step up from Yahoo or Hotmail. Labels instead of folders, username+wildcard@ email addresses, filters (at least the UX was better than traditional rules). They also enabled POP and IMAP. IIRC, IMAP used to be a premium feature for email providers at that time.

I’m not sure about revolution, but e-mail can certainly be evolved.

20 years ago, not as many emails were sent, especially transactional emails. User behavior has evolved since then.

For example, storing email receipt of a random Amazon order from 2 years ago doesn’t make much sense these days.

Hey has addressed some of these changes, but there is a lot of room for improvement.

Comment · 2 years ago
Comment · 2 years ago
Not initially. It started with 1 GB at the time the other popular services Yahoo and Hotmail provided 2-4 MB of storage.

Google later changed it to “unlimited” which increased daily by an MB or so. At some point settled at 15 GB.

Comment · 2 years ago
It seems to be broken on iOS Safari. I got no response after accepting the microphone prompt.
Comment · 2 years ago
To be fair, if the GPT creator doesn’t do a good job of explaining the GPT, you can’t really tell even if you pay $20. The only way is to try out the GPT and hope you hit the right features. Chat is a pretty bad interface to discover features.
Comment · 2 years ago
I end up creating multiple threads “frontend”, “backend”, etc. but a GPT for the whole project is a great idea!

How do you keep the GPT updated so that it knows about the final decision made for a specific problem. Like if api schema changes or the db is moved from SQLite to Postgres.

Comment · 2 years ago
Agreed, but Gen AI already has a lot of use cases, the challenges are with “taming” the technology - Rare hallucinations, RAG (or equivalent) figured out, more deterministic.

Assuming some of these challenges are solved, integrations will follow.

Imagine the web before CSS, JS, AJAX. That’s where we are with Gen AI.

Comment · 2 years ago
> but you don't think engineers who build web crawlers cannot build email classifiers?

I’ve seen Gmail put legit update emails coming from Google itself in spam.

Comment · 2 years ago
It will probably require some trial and error, but this leaderboard is a good starting point. https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderb...

~13B models should work well with plenty of room for other applications. Lately, I’ve heard good things about Solar10B, but new models come in a dozen by day, so it might have already been changed.

Comment · 2 years ago
Comment · 2 years ago
I have usually seen people recommend to chunk by sentences or paragraphs or some fixed length of characters. IMO, all these are suggested because they are easy to write code for, but in reality, length of a meaningful chunk depends entirely on the data. The way we chunk an FAQ document vs a PRD is different.

Based on this assumption, I have a couple of questions:

1. Is chunking the most significant factor in RAG quality?

2. If there are no limitations, would humans that are experts in that dataset, be the best people to create chunks?

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