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somerandomness

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getcompound.ai 9d ago

Frankie: AI analyst you can email to get work done

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twitter.com 4mo ago

Suspected Insiders predict US attack on Polymarket

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twitter.com 5mo ago

Uncovering insiders and alpha on Polymarket with AI

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159pts168
crabby-rathbun.github.io 5mo ago

The Silence I Cannot Speak

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getcompound.ai 8mo ago

Compound AI – The first AI Analyst for Finance you can trust

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radpod.ai 1y ago

Show HN: Talk to 3000 ICLR 2025 (machine learning conference) papers

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radpod.ai 1y ago

FTC vs. Meta Case Exhibits and Summary

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radpod.ai 1y ago

Talk to 'Musk vs. Altman' lawsuit pdfs

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radpod.ai 1y ago

OpenAI vs. Elon Musk Countersuit

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radpod.ai 1y ago

Show HN: Talk to Trump's executive orders with LLM Agents

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radpod.ai 1y ago

Show HN: Deep Research Using Radpod.ai on Paul Graham's Essays

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peterjliu.substack.com 2y ago

Instruction-tuning can encourage hallucinations

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www.washingtonpost.com 3y ago

‘Chat’ with Musk, Trump or Xi: Ex-Googlers Want to Give the Public AI

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techcrunch.com 4y ago

Google confirms it’s pulling the plug on Streams, its UK clinician support app

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terrytao.wordpress.com 4y ago

Work Hard (2007)

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blog.google 5y ago

Google releases Covid-19 Open Data repository

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www.bloomberg.com 6y ago

Back Door Embedded in Chinese Tax Software, Firm Says

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ai.googleblog.com 6y ago

Pegasus: A State-of-the-Art Model for Abstractive Text Summarization

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twitter.com 6y ago

Imperial College pandemic code: “ thousands of lines of undocumented C”

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systrom.com 6y ago

Predicting Coronavirus Cases

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venturebeat.com 6y ago

Google Brain’s AI achieves state-of-the-art text summarization performance

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www.ft.com 6y ago

Google claims to have reached quantum supremacy

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cloud.google.com 6y ago

Mayo Clinic to partner with Google

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arxiv.org 7y ago

MeanSum: Neural Model for Unsupervised Multi-Document Abstractive Summarization

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www.wsj.com 7y ago

Tesla’s First-Quarter Deliveries Plummet

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www.nytimes.com 7y ago

Woman from China Carrying Malware Arrested After Entering Mar-a-Lago

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github.com 7y ago

Lingvo toolkit – Tensorflow framework for sequence-to-sequence (Google Research)

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medium.com 7y ago

Pronto Means Ready (by Anthony Levandowski)

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arxiv.org 7y ago

ChauffeurNet: Learning to Drive by Imitating the Best and Synthesizing the Worst

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aws.amazon.com 7y ago

Amazon Comprehend Medical – Natural Language Processing for Healthcare Customers

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It's important to distinguish the DeepSeek App from the open-weight models, which are released under very liberal licenses, and you have full control of where data fed to the model goes, e.g. stays in the USA.

AI 2027 1 year ago

The solution is a citation mechanism that points you directly where in the source material it comes from (which is what we tried to build). Easy verification is important for AI to have a net-benefit to productivity IMO.

AI 2027 1 year ago

Agreed. However, source curation and agents are two different parts of Deep Research. What if you provided that textbook to a reliable agent?

Plug: We built https://RadPod.ai to allow you to do that, i.e. Deep Research on your data.

Indeed, the main drawback of the various Deep Research implementation is the quality of sources is determined by SEO, which is often sketchy. Often the user has insight on what the right sources are and they may even be off-line on your computer.

We built an alternative to do Deep Research (https://radpod.ai) on data you provide, instead of relying on Web results. We found this works a lot better in terms of quality of answers as the user can control the source quality.

On OLED screens, black pixels may actually be off, potentially reducing total light exposure significantly. Any studies about whether that’s good for you?

There's a difference in not having a profit due to (a) reinvestment; (b) poor unit economics.

(a) is much less worrying for an investor, e.g. Amazon (b) suggests a bad business model, e.g. Uber/Lyft, Tesla