subhajeet2107

This is mind blowing.

This opens so many avenues on using Astra or any large model to one shot smaller purpose built models for Agents, Imagine Agents writing or editing smaller weight models when doing agentic loop.

The implications are immense if all of this is generalizable

an AI that is at 100s of Einstein level in every intellectual field imaginable ?maybe, running apple does not require one to be very smart or intellectual

This is so amazing, can you improve the quality of generation at the cost of notes per seconds ? No one can play 108 notes/sec anyways, maybe you can train the model to do CoT for better quality

We are doing fine so far with just Transformers, we have just crossed Trillion parameter models, we don't know if 100s of Trillion param model wont be better.

How are you planing to segregate between professional use and personal use, I dont want any agent or any llm to know all the time what i have been doing on my system, it would be privacy nightmare and most of the time the screencapture is not meaningful. People may use their work laptop or devices to checkout reddit or hackernews occasionally.

LiteLLM already provides this feature, no need of another proxy

Can TOON format help in this, with "LLM=true" we can reduce the noise which pollutes context

Happy New Year from India

I use ente which is also the same, a bit tricky to setup but the app looks great

Why do you need a human to do the initial mapping ? why can't you use a Roomba or a smaller hardware for this task

Currently working on https://exitfox.com/. After recently switching jobs, I became frustrated with the handover process to the new joiner. This experience inspired me to start building a tool that uses Gemini/Claude to ask relevant questions about the project being handed over, streamlines the exit process in a structured format, Now I am adding more features for HR managers and employees around Clearance, FnF etc

Interestingly I found Claude Code to be the only LLM good at designing frontend, asking it to make it look better actually helps

> Joins are cheap. Normalise earlier

I am sure i have heard strong opinions like this but in practice joins are never cheap, tables with billions of rows crossed with millions of rows just to find a single row with data is not something i would call cheap, more often than not it is better to avoid joining large tables if you can live with duplicate data, also one trick i have found better is just to archive data in your tables which are not accessed frequently and reduce the size of tables keeping only the data which is needed

What about standardisation that comes with using a framework like kubernetes , while not using k8s you end up with adhoc deployment methods, clunky work arounds of handling networking, policies, secrets etc, with Kubernetes or even ECS it signals that the team or the developer is looking to use fixed set of rules for infrastructure, also k8s scales well even for smaller apps

Play Life is Strange

More like generate a random number from 30 to 90 and show gibberish data, cool idea though to fool small businesses into improving their visual score and charging money, good gimmick though

meh "is there any area column in addresses table" did not work seems straight forward to me ?

This is also crashing PUBG Mobile and a lot of gamers are angry as a big tournament (PMWL) is going to start soon, Facebook needs a better QA process

We use Clickhouse extensive at work and boy is it better than anything i have used in column oriented databases so far, documentation is good, http query interface and features such as builtin url parsing are amazing, we also tested Druid and found Clickhouse to be better than Druid, it is easier to setup and maintain as well

There are various levels of testing, at an early stage you can write only integration and functional tests, later on when you get time you can write unit tests as well

Custom Collector(analytics) -> Clickhouse -> Custom ETL Scripts -> Clickhouse -> Re:dash We tried metabase which is awesome , but Redash is also great and easy to setup as well if your team knows sql then Redash is better We also looked at druid and after some benchmarking we settled on Clickhouse, realtime queries even without etl runs within seconds in clickhouse

Awesome ! we at Careers360 (India top 100 Alexa) use Django for everything, the best thing about an Opinionated stack like django is freshers are production ready at day 1, learning time reduces and maintainability is solid , although i prefer golang where frameworks are particularly not favored ,Django ORM surely lacks a lot of features but does a decent job, async story sucks unless you are willing to give in to Channels i hope Django embraces async officially in the core

How does it compares to ClickHouse ? Isnt creating a proprietary Query Language going to be a problem for Adhoc quries? Why create yet another language when the industry is standardizing on SQL or a subset of SQL

Is there a way to combine screen/tmux with ssh ? like i always need to do some long running tasks over ssh and forget to put it in a screen session, i would like to open each ssh session in a screen session so that when i connect next i should be able to proceed from where i left

How is this different from inline styling ? this throws class inheritance out of the window

cluster-autoscaler can mange the machines easily, the point is kubernetes is an abstraction layer, using this level of abstraction is upto the user itself. Should i keep going down with container or using the node itself is the question, in production environment it makes all the sense to use something which has the potential to scale infinitely, but for hobby projects mental overhead doesn't justify using k8

I set a goal to read atleast 3 books a month, so this is my July list: - A mind at play: halfway through ,good read so far Shanon is a legend - The subtle Art of Not Giving a FK : Refreshingly good - Measure What Matters : Using this as a reference for everything now on, good read

AMP implementation also sucks, why cant i use !important in css for AMP ? Also try to convert any user generated page to an AMP page and have fun with all the validation errors. AMP might be a good thing for web in general but the way it is handled poorly by google , atleast Facebok Instant Articles dont have that many restrictions

Careers360 | Software Engineer| New Delhi, India | Salary 9-12 L, Onsite

Careers360 is looking for Backend Developers experienced in Python. You must be able to contribute in achieving excellent code quality, implement standard practices and run agile projects.

Responsibilities:

Build customer facing technology product for millions of customers

Work with a performance oriented and highly motivated Engineering team

Develop a high sense of ownership for your code and work closely with Product

Focus on code quality and deliver projects with high business impact

Working in a startup environment pushing boundaries with deep involvement with the business

Required Skillset:

Python (Django), Django Rest Framework

Worked with full text search engines like Elasticsearch, Solr

Experienced in caching technologies like Redis, Memcached

Well versed with continous deployment and integration, Git

Can write clean unit and functional tests

Good to have: AWS Infra management, Docker, Kubernetes skills

Apply here: https://www.linkedin.com/jobs/view/496328692/ or reach out to me at [email protected]