All about AI, Web 3.0, BCI
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This channel about AI, Web 3.0 and brain computer interface(BCI)

owner @Aniaslanyan
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The_Road_to_Interoperability_1681940914.pdf
27.4 MB
This report focuses on the core topics that are critical from the crypto/blockchain world. They go far beyond "virtual worlds":

- Digital Property
- Interoperability and composability
— Decentralization and neutrality
- Empowering creators and platforms
-Intellectual property
– Digital identification
– Data formats / standards
-Confidentiality
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Massive announcements in the world of AI today from Runway, OpenAI, NVIDIA, Yelp, and a new viral AI-generated song featuring Bad Bunny & Rihanna.

Here's the rundown on everything you need to know:

1. Runway launches Gen-1 iPhone app

Runway introduced its first mobile app for iOS, allowing users to access their Gen-1 video-to-video generative AI model directly from their phones.
Soon, people will be creating entire films right from their pockets!

2. ChatGPT goes incognito

OpenAI just launched a feature for ChatGPT that allows users to turn off chat history. This allows users to choose conversations that can be used to train their models.

3. NVIDIA announces NeMo Guardrails

NeMo Guardrails is an open-source tool designed to improve the performance and safety of AI-powered chatbots like ChatGPT.
This toolkit essentially acts as a safety mechanism for chatbots.

4. Yelp adds AI-powered search

Yelp is harnessing the power of AI and LLMs to enhance their search experience.
The new search feature provides smarter suggestions, helping users discover businesses that meet their requirements better.

5. New AI-generated song ft. Bad Bunny & Rihanna

After going viral with his AI Drake/Weeknd song, ghostwriter977 has re-emerged on TikTok. His new song features Bad Bunny and Rihanna and is another banger.
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4 Federal agencies just released a joint statement on AI and related AI technologies

The AI regulatory and policy space in the US is about get VERY busy.
The_complicated_case_of_ethically_using_LLMs_in_healthcare_1682577023.pdf
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This paper discusses the ethical challenges and implications of using large language models (LLMs) in Healthcare and Medicine.

It highlights the potential benefits, as well as the possible risks associated with these models, and proposes guidelines for responsible implementation in the medical field.

1. The paper argues that while LLMs have shown great potential in improving diagnostics, treatment, and patient care, there are concerns about their ethical use.

2. The author proposes that to ethically use LLMs in healthcare, developers and practitioners must address issues such as #DataPrivacy, bias, accountability, and transparency.

3. The paper emphasizes that the benefits of LLMs should not be undermined by their potential risks; therefore, adopting appropriate guidelines is crucial to ensure ethically responsible use of this technology in medicine.

This paper is worth reading because it sheds light on a critical aspect of healthcare innovation, providing valuable insights and recommendations for the ethical deployment of large language models in medical applications.
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Mental illness is a brain disorder? Right?

Hang on though, а new study shows that poor body health is a more pronounced manifestation of mental illness than poor brain health.
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DeepFloyd IF - an open-source text-to-image model by Deepfloyd AI and team StabilityAI

Check out the examples, with amazing zero-shot inpainting results at high resolution.
"The AI Hot 75" startups who are leading the wave of genAI according to NFX.
Nvidia open-sourced a toolkit to address the hallucination issue (/capabilities) of LLMs called NeMo Guardrails. In a nutshell, how it works is that this method uses a database linking to hardcoded prompts, which have to be manually curated.
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A study conducted by Mayo Clinic suggests AI could potentially improve time efficiency and standardization for radiation therapy planning in patients with head and neck cancers.

The validation study, published in Frontiers in Oncology, evaluated the efficiency of an algorithm trained by Mayo Clinic and developed in collaboration with Google Health.
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Google’s Cloud unit gains key AI chip team to compete with Microsoft

Google has moved the engineering team responsible for making artificial intelligence chips into Google Cloud, a spokesperson confirmed, in a step that could make the cloud unit more competitive with its bigger rivals, Microsoft and Amazon Web Services, in selling AI-powered software to businesses.

The move is the latest sign of how Google is scrambling to respond to Microsoft and OpenAI, whose successful launch of ChatGPT—a chatbot now incorporated into Microsoft’s Bing search engine—threatens to erode Google’s long-standing dominance of search.
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Additional evidence highlights how informative could be data collected from eyetracking only, as previously discussed by XRSI - XR Safety Initiative in the context of biometrically-inferred personal data:

"Researchers have identified spatial and temporal abnormalities in spontaneous fixational saccades as a potential biomarker for cognitive and positive symptoms in schizophrenia.

Researchers combined patient data of fixational eye movement recorded over 60 seconds with machine learning technology, which was able to determine schizophrenia with 85% accuracy.

This discovery suggests that fixational saccades could serve as an easily obtainable complementary diagnostic tool for the condition."
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CEO IBM Arvind Krishna said the company expects to pause hiring for roles it thinks could be replaced with AI in the coming years.

These non-customer-facing roles amount to roughly 26,000 workers, Krishna said. “I could easily see 30% of that getting replaced by AI and automation over a five-year period.”

That would mean roughly 7,800 jobs lost. Part of any reduction would include not replacing roles vacated by attrition, an IBM spokesperson said.
Walmart is using AI to negotiate deals

Walmart is using a chatbot named “Pactum AI” to automatically negotiate with suppliers.

It saves Walmart an average of 3% on expenses.

Notably, three out of every four suppliers prefer to negotiate with AI rather than humans.
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LLaMA spearheaded the age of community-driven midsize LMs

It’s game-changing for many use cases that don’t require GPT-4’s full firepower.

Great blog post that covers Alpaca, Vicuna, Koala, WizardLM, OpenAssistant, and more!
Cognito Therapeutics raises $73M series B to advance neurotechnology platform for Alzheimer’s Disease

New investors Alzheimer’s Drug Discovery Foundation (ADDF), Starbloom Capital, IAG Capital and WS Investment Company (Wilson Sonsini’s venture arm) joined the round.

The Series B funding brings the total amount raised since inception to $93 million.
Excellent TED talk from Sal Khan:

- many inspiring examples of GPTs finetuned into socratic tutors, assisting without giving away answers.

- none of it "out of the box", requires prompt engineering, finetuning, data collection, iteration.

- sense of barely scratching the surface.
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