Orowa Sikder Profile
Orowa Sikder

@OrowaSikder

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the future could be amazing. let’s get to work | Research @AnthropicAI , ex: PhD @UCLCS

London, UK
Joined April 2015
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@OrowaSikder
Orowa Sikder
7 months
i haven't slept in months and i've loved every second of it. claude 3 absolutely slaps, go check it out
@AnthropicAI
Anthropic
7 months
Today, we're announcing Claude 3, our next generation of AI models. The three state-of-the-art models—Claude 3 Opus, Claude 3 Sonnet, and Claude 3 Haiku—set new industry benchmarks across reasoning, math, coding, multilingual understanding, and vision.
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@OrowaSikder
Orowa Sikder
1 year
Got access to Clong about 30 min after I handed in 300 page PhD thesis… spent the next 6 hours in awe, _talking to my thesis_. 8 years of work digested in seconds. Thoughtful feedback and suggestions for viva questions. Only stopped when sun was up.
@AnthropicAI
Anthropic
1 year
Introducing 100K Context Windows! We’ve expanded Claude’s context window to 100,000 tokens of text, corresponding to around 75K words. Submit hundreds of pages of materials for Claude to digest and analyze. Conversations with Claude can go on for hours or days.
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@OrowaSikder
Orowa Sikder
7 months
i ran the "needles" eval originally for claude 2.1. some observations: 1. claude 3 smashes a more robust version that randomizes over different documents, needles, etc 2. claude 3 is tired of your shit, asking us to let it get back to real work
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@OrowaSikder
Orowa Sikder
7 months
@mattshumer_ the funniest thing we found when running this eval is that Claude is basically just bored of it (see below from the model card)
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@OrowaSikder
Orowa Sikder
7 months
Really enjoyed building this demo! I was inspired by the first task I had to do every morning when I started in investment banking - scouring annual reports and pulling numbers out to do basic modelling. Obviously this doesn't automate that work away fully (and a good analyst
@AnthropicAI
Anthropic
7 months
With this release, users can opt for the ideal combination of intelligence, speed, and cost to suit their use case. Opus, our most intelligent model, achieves near-human comprehension capabilities. It can deftly handle open-ended prompts and tackle complex tasks.
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@OrowaSikder
Orowa Sikder
7 months
claude's gentle sass continues to give me life
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@OrowaSikder
Orowa Sikder
10 months
months of hard work by an amazing team! something cool for you to try over thanksgiving <3 lots more to come!
@AnthropicAI
Anthropic
10 months
Our new model Claude 2.1 offers an industry-leading 200K token context window, a 2x decrease in hallucination rates, system prompts, tool use, and updated pricing. Claude 2.1 is available over API in our Console, and is powering our chat experience.
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@OrowaSikder
Orowa Sikder
10 months
Fun lil Thanksgiving puzzle I worked on. King Clong 😄
@AnthropicAI
Anthropic
10 months
Claude 2.1’s 200K token context window is powerful, but requires careful prompting to use effectively. Learn how to get Claude to recall an individual sentence across long documents with high fidelity:
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@OrowaSikder
Orowa Sikder
9 years
Competitive altruism on #fundraising sites when women are deemed 'attractive'. Better grab a wig. http://t.co/umwXB2mD6a @nicholaraihani
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@OrowaSikder
Orowa Sikder
3 years
@AlgebraFact Also, baldness.
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@OrowaSikder
Orowa Sikder
7 months
@GregKamradt it’s really exciting to me you made an eval that models just smashed in a few months, pace of change is crazy, love ideas for harder evals! Good evals are key to deep and nuanced understanding of progress
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@OrowaSikder
Orowa Sikder
7 months
@kandouss credit to the Opus king @AlexTamkin
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@OrowaSikder
Orowa Sikder
1 year
man the soundtrack for the apocalypse is going to absolutely slap
@HALSodyssey
hal
1 year
AI Drake drops another one. Winters Cold by Lvcci ai.
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@OrowaSikder
Orowa Sikder
5 years
A particularly nice intuitive result: having highly biased neighbours is equivalent to having poorly connected information networks, since your biased neighbours gatekeep the free flow of information to you
@giacomolivan
Giacomo Livan
5 years
7/We demonstrate analytically a direct competition between network connectivity and confirmation bias, with the former being able to mitigate the societal negative effects of the latter.
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@OrowaSikder
Orowa Sikder
9 years
One of my favourite TEDs ever: Mapping ideas worth spreading http://t.co/v5on3UqLng #complexity #networks
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@OrowaSikder
Orowa Sikder
6 years
Ever wondered how confirmation bias can be useful in public discourse? Or why debunking false information won’t stop it spreading? Have a look at our first pre print!
@giacomolivan
Giacomo Livan
6 years
Latest preprint on @arxiv : "When facts fail: Bias, polarisation and truth in social networks" TL;DR: - A tiny biased minority can overtake the opinions of a whole population - Confirmation bias in small doses can be a positive force
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@OrowaSikder
Orowa Sikder
9 years
We made a very nifty app to help you think about emotional intelligence, check it out! #emotionalintelligence #UoE
@brillianttoday
Being Brilliant
9 years
Emotional intelligence (EQ) is even more important than IQ in today's world. We've created this app to help... http://t.co/f9kv5TEG9j
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@OrowaSikder
Orowa Sikder
9 years
Where are the big ideas in #Neuroscience (and why so many in #psychology )? Brill post to get thinking: http://t.co/FN09W2PryD @Neuro_Skeptic
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@OrowaSikder
Orowa Sikder
9 years
@Neuro_Skeptic Nucleus accumbens - Feel Good Inc. #neuroplaylist
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@OrowaSikder
Orowa Sikder
9 years
Why do we help each other? Evolutionary #GameTheory offers some clues http://t.co/vVlf6DB4xc Heres a great intro text http://t.co/kF7QAHZtRM
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@OrowaSikder
Orowa Sikder
9 years
Social psychology & your #election choices: http://t.co/7EvX6TvZb1 Curious? Learn more on social learning & decisions: http://t.co/8fKprAJVn8
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@OrowaSikder
Orowa Sikder
5 years
Latest paper online! Confirmation Bias, misinformation and social networks. Please see the thread below for a nice little summary if you fancy a TLDR
@giacomolivan
Giacomo Livan
5 years
1/Latest one out on @SciReports , done in collaboration with @OrowaSikder @PierpaoloVivo @DrRESmith . We solve a minimalistic social learning model to study the large-scale impact of confirmation bias on the diffusion of (mis)information in social networks.
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