Siddharth
512 posts

Siddharth
@Siddbellad
Experimenting | @DukeU
Not sf Katılım Ağustos 2020
363 Takip Edilen106 Takipçiler

check out all our open roles: jobs.ashbyhq.com/blackbird-labs…
English

we're hiring at @blackbird 👀 I'm biased but I think this is one of the most exciting possible places you could work right now. lots of big things coming for Blackbird (and Flynet) and lots of room to have huge impact
English

Tomorrow we will unveil the all new vibe coding experience in @GoogleAIStudio, the team has spent 4 months rebuilding it all from scratch and smoothing out rough edges to help everyone bring their ideas to life.
This is a big step forward, but just the start : )
English

@BladonStuart Definitely agree, I sometimes make decisions based on my sleep score and recovery which is stupid cus I can still run or workout but now i have a mental block
English

I do think wearables should be more passive. Silent monitors that guide you in the right direction as opposed to screaming numbers in your face
varepsilon@var_epsilon
I think seeing your sleep score when you wake up is like a jail cell for the mind you start each morning with a mental ceiling of good your day can be
English

@Siddbellad Thanks for reading my paper! I am building my side-quest to start first with human competency preservation to avert "Reverse Flynn Effect" in manufacturing workers. Secondly, research in manufacturing is still output-driven and not focused workers. It needs human factors research
English

Paper 3/3 of week 2:
"AI in Manufacturing Worker Safety"
I worked 3 years in manufacturing
We used Excel for everything. Nobody talked about tech. Nobody understood the capabilities of AI.
3 things from this paper that I learned
(in my domain)
mdpi.com/2227-9717/13/5…

English

I love my Hermes bot (orange cat).
Helps me with
- research papers
- content gen
- @Polymarket news
@NousResearch

English

@ManavGarkel not replace entirely but could reduce how often you need full retraining. the dream is models that keep learning post-deployment without the 100Mill training run every few months
English

@Siddbellad Really interesting paper and thread. Will checkout the paper when I have sometime. Do you think this has the full potential to replace expensive LLM training process?
English

Google just proposed a fix for AI's biggest flaw.
Right now, every AI model: ChatGPT, Gemini, Claude- forgets old knowledge when you teach it new things.
Their solution is wild. Here's the 2 min breakdown:
#AI #MachineLearning

English

@SahilPanhotra fair , it doesn't eliminate forgetting completely, it just makes it way less catastrophic.
English

@Siddbellad still i think AI is going to forget things (its still not 100% predictable output and right output)
English

@real_rehaan honestly not yet. the compute overhead for continual memory is still steep. but if retraining costs cut down it would make sense in terms of ROI i guess
English

@Siddbellad but my question here is the feasibility of the solution. would it work commercially
English

@babkin_ai great point , the paper uses memory compartmentalization so each "learning stream" stays scoped. but yeah scaling that to thousands of users is the real engineering challenge they haven't fully solved yet
English

@Siddbellad Yeah, the only question for me is how will you isolate learning from each other, when the model is being used by thousands of people
English

Thinking of how AI just changed the landscape for everyone.
AI used to be just code on learning data for each field: biomedical signals, computer vision, etc.
Now AI is more than just that. Its natural language processing, with multimodel input and output. almost human-like responses, so much that even Anthropic reported that they're not sure if their models aren't conscience anymore.
The commercialisation and democratization of AI has been so impactful that we are truly heading towards a time where everything naturally has the capability of being automated.
The only question remains: how far can AI go?
English





