I co-run a small research nonprofit, and I’m mulling over ways we could leverage AI to maximize our services.

The two services that come immediately to mind are Claude 3 Opus (which I’ve used to generated Google Scripts/automations for our Google Drive) and Elicit (for helping to summarize academic papers).

However, I’m curious to hear how we might push this even further, especially in terms of our internal operations.

We built a tool that creates mini audiobooks about anything you want to learn about.

Here's how it works:

1. Describe what you want to learn about (a prompt). This can be anything from news today to scientific topics.

2. AnyTopic will do online research to find relevant content related your interests and create an audiobook from that.

3. Listen to your free audiobook!

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We'd love to hear your thoughts or answer any questions.

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• DeepMind CEO predicts Google will invest over $100 billion in AI, surpassing rivals like Microsoft in processing prowess.

• Google's investment in AI may involve hardware like Axion CPUs based on the Arm architecture, claimed to be faster and more efficient than competitors.

• Some of the budget will likely go to DeepMind, known for its work on the software side of AI, despite recent mixed results in material discoveries and weather prediction.

• DeepMind has made progress in teaching AI social skills, a crucial step in advancing AI capabilities.

• Hassabis emphasized the need for significant computing power, a reason for teaming up with Google in 2014.

Source: https://www.theregister.com/2024/04/17/google_deepmind_funding/

Basically the title. What are your thoughts?

I am a VP of Data Science at a small company, and I'm looking to select the top 2-3 conferences where I can connect with other executives, gain insights into their world, understand data science team maturity, and learn about their tech stack.

What conferences should be on my list?

I'm particularly interested in must-attend events for C-suite, VPs, and directors in data science/AI.

Based in Ohio, I prefer larger conferences to minimize travel disruptions, as I prefer not to interrupt my work for smaller events.

Source

• Adobe has unveiled new AI tools for Premiere Pro, which are expected to transform video editing.
• These AI tools aim to streamline various editing processes and enhance creativity.
• One notable feature is the 'Scene Edit Detection' tool, which automates the process of identifying cuts in footage.
• Another highlight is the 'Object Selection' tool, designed to simplify the selection of objects within a frame.
• Adobe also introduced a potentially controversial feature called 'Portrait Reframe,' which adjusts the framing of videos to focus on different subjects.
• The 'Portrait Reframe' feature has sparked debate among users regarding its ethical implications and potential misuse.
• Overall, Adobe's announcement signifies a significant step forward in video editing technology, leveraging AI to empower editors and streamline their workflow.

So we’ve all seen fake profiles on Instagram and such, I’ve seen a bunch that were like pictures of a model and were clearly fake, but using AI wouldn’t it be possible to fill her account with realistic photos of her, her with friends, with posts she’s made, she could be doing things in videos, and then she can message you and speak perfectly and intelligently. I think a convincing fake person could be created so the only way of knowing if who you’re talking to is real would be to meet them in person.

1. Tech exec predicts ‘AI girlfriends’ will create $1B business: ‘Comfort at the end of the day’.[1]
2. Intel uses in-house AI tools to optimize SoC layouts from 6 weeks, to just ‘minutes’.[2]
3. AI program creates personal chatbots for elementary school students.[3]
4. Microsoft invests $1.5 billion in AI firm G42, overseen by UAE’s national security adviser.[4]

Sources:

[1] https://www.yahoo.com/tech/tech-exec-predicts-ai-girlfriends-181938674.html

[2] https://www.tweaktown.com/news/97639/intel-uses-in-house-ai-tools-to-optimize-soc-layouts-from-6-weeks-just-minutes/index.html

[3] https://www.cbs8.com/article/news/local/outreach/innovate8/ai-program-personal-chatbots-for-students/509-469c086b-cafe-4527-a380-d2a28d7494dc

[4] https://finance.yahoo.com/news/microsoft-invests-1-5-billion-153522793.html

Programming, music, data science, film, literature, art, graphic design, acting, architecture...on and on there are now common themes across all: the real experts in all these fields saying "you don't quite get it, we are about to be drowned in a deluge of sub-standard output that will eventually have an incredibly destructive effect on the field as a whole."

Absolutely fascinating to me. The usual response is 'the gatekeepers can't keep the ordinary folk out anymore, you elitists' - and still, over and over the experts, regardless of field, are saying the same warnings. Should we listen to them more closely?

https://aiindex.stanford.edu/report/

Top 10 Takeaways:

1. AI beats humans on some tasks, but not on all. AI has surpassed human performance on several benchmarks, including some in image classification, visual reasoning, and English understanding. Yet it trails behind on more complex tasks like competition-level mathematics, visual commonsense reasoning and planning.

2. Industry continues to dominate frontier AI research. In 2023, industry produced 51 notable machine learning models, while academia contributed only 15. There were also 21 notable models resulting from industry-academia collaborations in 2023, a new high.

3. Frontier models get way more expensive. According to AI Index estimates, the training costs of state-of-the-art AI models have reached unprecedented levels. For example, OpenAI’s GPT-4 used an estimated $78 million worth of compute to train, while Google’s Gemini Ultra cost $191 million for compute.

4. The United States leads China, the EU, and the U.K. as the leading source of top AI models. In 2023, 61 notable AI models originated from U.S.-based institutions, far outpacing the European Union’s 21 and China’s 15.

5. Robust and standardized evaluations for LLM responsibility are seriously lacking. New research from the AI Index reveals a significant lack of standardization in responsible AI reporting. Leading developers, including OpenAI, Google, and Anthropic, primarily test their models against different responsible AI benchmarks. This practice complicates efforts to systematically compare the risks and limitations of top AI models.

6. Generative AI investment skyrockets. Despite a decline in overall AI private investment last year, funding for generative AI surged, nearly octupling from 2022 to reach $25.2 billion. Major players in the generative AI space, including OpenAI, Anthropic, Hugging Face, and Inflection, reported substantial fundraising rounds.

7. The data is in: AI makes workers more productive and leads to higher quality work. In 2023, several studies assessed AI’s impact on labor, suggesting that AI enables workers to complete tasks more quickly and to improve the quality of their output. These studies also demonstrated AI’s potential to bridge the skill gap between low- and high-skilled workers. Still, other studies caution that using AI without proper oversight can lead to diminished performance.

8. Scientific progress accelerates even further, thanks to AI. In 2022, AI began to advance scientific discovery. 2023, however, saw the launch of even more significant science-related AI applications— from AlphaDev, which makes algorithmic sorting more efficient, to GNoME, which facilitates the process of materials discovery.

9. The number of AI regulations in the United States sharply increases. The number of AIrelated regulations in the U.S. has risen significantly in the past year and over the last five years. In 2023, there were 25 AI-related regulations, up from just one in 2016. Last year alone, the total number of AI-related regulations grew by 56.3%.

10. People across the globe are more cognizant of AI’s potential impact—and more nervous. A survey from Ipsos shows that, over the last year, the proportion of those who think AI will dramatically affect their lives in the next three to five years has increased from 60% to 66%. Moreover, 52% express nervousness toward AI products and services, marking a 13 percentage point rise from 2022. In America, Pew data suggests that 52% of Americans report feeling more concerned than excited about AI, rising from 37% in 2022.

• Artificial intelligence systems like ChatGPT are now nearly on par with or surpassing human performance in various tasks.

• The rapid progress in AI development is rendering many existing benchmarks obsolete, necessitating new ways to evaluate AI systems.

• Stanford University's AI Index Report 2024 highlights the significant advancements in machine-learning systems over the past decade.

• The report emphasizes the importance of developing standardized assessments for responsible AI use amidst increasing regulatory interest.

• The rising use of AI in science applications and the ethical concerns surrounding AI development are also addressed in the report.

Source: https://www.nature.com/articles/d41586-024-01087-4

https://current.news/brief/xUXLzEo6

Canada allocates $1.7 billion for AI advancement, aligning industrial policy with AI strategy for growth.

The Canadian government has recently unveiled a substantial funding package of $1.7 billion USD ($2.4 billion CAD) aimed at reinforcing Canada's foothold in the AI industry. This investment is poised to bolster crucial AI infrastructure, including computing power and institutions like the Canadian AI Safety Institute.

The new tools are making it easier and easier for everyone to code. So what are you making?

Is it because they purely have text as the input vs humans having all of our senses to provide context? Lots of podcasts talking about AI companies running out of data to use which seems crazy to me. Like I get it if you want knowledge of more things but if the thought is that this approach leads to some emergent level of reasoning or eventually consciousness. Seems like they need different algorithms.

I'm autistic, and thanks due to it I've basically lived a bad life. Statistically this is actually extremely normal for us. Thanks due to it I have GAD, CPTSD, and a few other things to include extreme memory problems. Anyways, after talking to Gemini for a bit I asked it for possible solutions, list them from most likely to least likely. And do not include anything illegal. It basically said, my choices is

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• Death
• Ignoring the problem
• Raw luck

https://preview.redd.it/wfhcqs1fhuuc1.png?width=1641&format=png&auto=webp&s=573cd6b7ebb91695d20deca68101d391a9e7b6a9

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It isn't wrong. But I thought this was interesting.

1. A group of researchers from China and Singapore recently published a paper detailing the challenge of getting an AI to play Red Dead Redemption II (RDR2).[1]
2. Baidu says AI chatbot ‘Ernie Bot’ has amassed 200 million users.[2]
3. Adobe explores OpenAI partnership as it adds AI video tools.[3]
4. DeepMind CEO Says Google Will Spend More Than $100 Billion on AI.[4]

Sources:

[1] https://www.tomshardware.com/tech-industry/artificial-intelligence/chatgpt-plays-red-dead-redemption-ii-ai-vision-system-was-overwhelmed

[2] https://finance.yahoo.com/news/baidu-says-ai-chatbot-ernie-023012846.html

[3] https://www.reuters.com/technology/adobe-explores-openai-partnership-it-adds-ai-video-tools-2024-04-15/

[4] https://www.bloomberg.com/news/articles/2024-04-16/deepmind-ceo-says-google-will-spend-more-than-100-billion-on-ai

Random experiment on a V-tuber Music Video workflow. Can't believe this only took 2 hours. The tools these days are getting pretty crazy.

Lyrics: Sage13 (some of my old random junk for testing)
Music: Suno
Art: Dall-E 3 (based on my original characters though)
Video Work: ClipChamp, LeiaPix, and Veed

https://www.youtube.com/watch?v=3Qps2HgYwOE

I just never thought I would be able to create something like this as fast and as easily as I did. And it's fun to boot!

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Hey all, just as a hobby i've been playing around with Suno. And this is just crazy good. I did have to write my own lyrics (the ones it generated were subpar) but still, this thing is awesome. Made a country song and this made me a country fan haha.

https://www.youtube.com/watch?v=ThFjKnIMOKo

If we exclude the refusals (e.g., "I cannot answer") ,and only tally votes for actual responses, Claude 3 Opus continues to be marginally superior to the new GPT-4 Turbo.

Yes, you might think it’s pure bias on my part, but if you’re looking to compare the chatbots based on the quality of their responses when they do provide an answer, then excluding refusals might be a reasonable approach. This could give you a clearer picture of how well each chatbot performs when it is able to engage in a conversation.

https://preview.redd.it/868h3r3p5quc1.png?width=1801&format=png&auto=webp&s=35b52face87ff90d405b85db74fc92e048f0e657

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