suprgeek

CData | Forward Deployed Engineer + Principal FDE (Agentic Systems) | Remote | Full-time

Details of the Job here: https://ats.rippling.com/cdata-software/jobs/bd754ddd-30c4-4...

https://ats.rippling.com/cdata-software/jobs/e9d1d4fa-18c9-4...

Remote with possible some travel

Since the recent discoveries about Shingles Vaccine delaying dementia https://hsph.harvard.edu/news/link-between-shingles-vaccine-...

One of interesting checks in this study might be to check when (if) any of the participants had taken this vax and what the impact might be on an Alzimer's diagnosis.

In the era of anything even remotely AI-adjacent raising ridiculous amount of money - and proving to vaporware - this is one raise that makes me happy. We need more of the Bryan mindset (and less of Larry) to ensure that when the AI-Enabled future shows up we have some semblance of a fair society that works for all. https://www.youtube.com/watch?v=-zRN7XLCRhc&t=2047s

Don't be put off by the reported high-cost

Make it possible->Make it fast->Make it Cheap

the eternal cycle of software.

Make no mistake - we are on the verge of the next era of change.

Great project and excellent initiative to learn about embeddings. Two possible avenues to explore more. Your system backend could be thought of as being composed of two parts: |Icons->Embedder->|PGVector|->Retriever->Display Result|

1. In the embedder part trying out different embedding models and/or vector dimensions to explore if the Recall@K & Precision@K for your data set (icons) improves. Models make a surprising amount of difference to the quality of the results. Try the MTEB Leaderboard for ideas on which models to explore.

2. In the Information Retriever part you can try a couple of approaches: a.after you retrieve from PGVector see if you can use a reranker like Cohere to get better results https://cohere.com/blog/rerank

b.You could try a "fusion ranking" similar to the one you do but structured such that 50% of the weight is for a plain old keyword search in the metadata and 50% is for the embedding based search

Finally something more interesting to noodle on - what if the embeddings were based on the icon images and the model knew how to search for a textual descriptions in the latent space?

A few items that did not make it into the list:

1) Adani is very close to the current ruling party and the PM - deploying his extensive business network and assets (in various forms) to help get the PM elected (2014) and then re-elected. A bit of googling will reveal the vast scale of politico-corporate nexus between these two - extending all the way back to when they were chums in Gujarat - the Indian state of the PM

2) The only reason the Adani Group has not been hauled up in-front of multiple regulators and law-enforcement agencies on a constant basis is because of #1 above

3)Adani ports seem to be curiously immune to investigations despite literal TONS of drug seizures [1]

4) There were multiple stories of forced resignations being used by the companies across its workforce to trim costs during the pandemic and avoid paying hefty severance per India's strict labor laws

5)A lot of the public sector banks in India are purported to be under pressure to not recall loans or issue fresh loans on demand to him - essentially a federal backstop to all his liabilities - enabling crazy levels of debt

[1] https://www.ndtv.com/india-news/adani-ports-says-its-termina...

The AWS scaling series https://aws.amazon.com/blogs/startups/scaling-on-aws-part-1-... gives you a very nice primer on this exact situation. You may or may not opt to use AWS - the fundamental concepts would translate well over other cloud providers or even on premises.

Then you can follow along parts 2, 3 &4 to scale up by factors of ~10 or more -

https://aws.amazon.com/blogs/startups/scaling-on-aws-part-2-... https://aws.amazon.com/blogs/startups/scaling-on-aws-part-3-...

This was somewhat predictable. I will be really interested in another piece of data. When we re-open fully (whatever that means) and people get back on the roads perhaps even more than they used to will it reset the waiting times because of excess collisions and more fatalities?

A lot of the suggestions in this post are "idempotent" only in the sense of the specific use case that the author is interested in. Please do not take this advise to be generally applicable for the uses of "idempotent" or in general to mean best practice while writing bash scripts.

The advice such as replace rm <FileName> with rm -f <FileName> could lead to Disaster depending on the scenario. So a HUGE YMMV

Finally! Now please also admit that the TouchBar is a colossal failure that only a few niche users grew to like and either:

1) Ditch it completely - return the Fn key row back but add button for Touch Id (a. la the new MacBook Air) OR

2) Invent a better version with Haptic Feedback so that Touch typists get a FEEL for hitting keys instead of moronically having to look down to ensure that they did not F* things up

The housing and culture aspects mentioned are the very small tip of the dark side iceberg.

Some of the other aspects: 1) The weaponization of profiling and targeting capabilities

2) Complete eradication of of the cultural notion of "Privacy" :- most people coming of age today think nothing of sharing the most private info in search of a few baubles (Likes, discounts, whatnot)

3) Pervasive and inescapable monitoring in every facet of our lives

In short - all of the preconditions are there for a venal system that might give rise to a (technologically)ultra-capable fascist.

The touch bar is useless - worse than useless

1) No haptic feedback if I hit a key - did I hit it? just terrible for touch typists

2) Context switching according to an app - now you expect me to remember another whole new way to interact in addition to on-screen and keyboard short cuts - WHY?

3) Should I look at the keyboard or not - if not then why do the glowy keys on the keyboard keep distracting me? If yes then WTF is the screen for?

4)Do all Apple products have this or not? Why is there no external keyboard with TouchBar?

Complete misfire on Apple's part (Reference : Currently use MBP 15 latest version for work)

This is a very pernicious take on AI (and Amazon's usage of said AI). Amazon has hired 300000 professionals wohoo! more jobs!

All those jobs are poorly paid, very labour intensive have almost zero benefits and usually not full time. If AI is giving us these kinds of jobs for the many for the instant gratification of consumers then we are worse off NOT better-off.

Face it - the Advent of better AI (Robots, Driverless cars, etc) will lead to massive job losses and disruption of (currently) well paying jobs - the technology is advancing much faster than the ability of "blue collar" worker to retrain or adapt.

It is indeed a "massive failure of imagination" - of the author to understand the real world limitations.

No it will not. Elements from both theories will be used to formulate the structure/theory/paradigm that will then subsume both of them.

Why do they need to sell browsing histories? There are numerous way to profit without actually selling history:

1) Come buy our trueTarget analytic service - add a keyword search and out comes the name of every one interested in say "Evening college" (Comcast also has the address on file obviously)

2) Political observers - This Zipcode has the most mentions for "Climate change hoax"

3) Porn/Medical/<other potentially embarrassing stuff> : Too many services here -

None of this sells individual browsing history yet which of these would be certainly illegal? This is a complete red herring to distract from the Republicans completely disgraceful sell out to big business.

If not illegal which of these would be ok under "we do not see your browsing history"?

Terrible Headline but genuinely scary request.

Police are NOT requesting "whole city's Google Searches" - they are requesting the Whole WORLD's Google searches (if you will) for a specific search string (actually a variation of strings).

Realistically complying will get them a bunch of IP addresses. Lets say they get 100 IP addresses; then what? Track down and investigate every one of them? For what? How do you go from IP address to potential suspect in Bank Fraud?

Apparently now rather than having a suspect and then going to Google for that specific suspect's records is no longer the in thing. These lazy coppers want Google's help to even develop a suspect...very very close to a fishing expedition.

Is Rs.20 for 20GB a Typo? If not then I am stunned at those rates.