1. Bezos Backs AI Chipmaker Vying With Nvidia at $2.6 Billion Value.[1]
2. ChatGPT refuses to say one specific name – and people are worried.[2]
3. Japanese firms begin adopting generative AI for information searches.[3]
4. Most people are willing to share health data to develop artificial intelligence (AI) in the NHS.[4]

Sources:

[1] https://techcrunch.com/2024/12/02/jeff-bezos-backs-ai-chipmaker-tenstorrent/

[2] https://www.independent.co.uk/tech/chatgpt-david-mayer-open-ai-name-glitch-b2657723.html

[3] https://www.japantimes.co.jp/business/2024/12/03/tech/japan-firms-ai/

[4] https://guernseypress.com/news/uk-news/2024/12/03/most-people-happy-to-share-health-data-to-develop-artificial-intelligence--poll/

For example, turning a picture of my kids on the playground into them running around, playing, swinging, etc.

1. Elon Musk files injunction against OpenAI to stop its move to become a for-profit company.[1]
2. OpenAI’s Altman confident Trump will keep US in AI lead.[2]
3. Meta AI Releases Llama Guard 3-1B-INT4: A Compact and High-Performance AI Moderation Model for Human-AI Conversations.[3]
4. Hybrid Recommendation System (HRS-IU-DL): Enhancing Accuracy and Personalization with Deep Learning Techniques.[4]

Sources:

[1] https://www.businesstoday.in/technology/news/story/elon-musk-files-injunction-against-openai-to-stop-its-move-to-become-a-for-profit-company-455799-2024-12-02

[2] https://www.msn.com/en-ph/news/other/openai-s-altman-confident-trump-will-keep-us-in-ai-lead/ar-AA1v5rlL?ocid=BingNewsVerp

[3] https://www.marktechpost.com/2024/11/30/meta-ai-releases-llama-guard-3-1b-int4-a-compact-and-high-performance-ai-moderation-model-for-human-ai-conversations/

[4] https://www.marktechpost.com/2024/12/01/hybrid-recommendation-system-hrs-iu-dl-enhancing-accuracy-and-personalization-with-deep-learning-techniques/

the ai revolution is here to stay, as it gets stronger and faster each day. not so much because it is so beneficial to the world in ways we're just beginning to imagine. it will succeed beyond what we today understand because of several reasons.

the first is that there is so much money to be made by investing in it. a year ago ai was estimated to generate about $15 trillion for the world economy by 2030. this year a revised estimate has the expected generated wealth at $9 trillion each year.

through campaign contributions, lobbying and ownership of the media, the rich control american politics. they will neither allow the slowdown or stopping of an enterprise that they expect will make them a lot richer sooner than any other investment they could make.

the second is that if we in the u.s. don't dominate the industry, brics countries like china will. i like the chinese, so i don't really have a problem with that. but american millionaires and billionaires may not be so happy with others with more powerful ais earning greater profits than them because of these more advanced ais. and because our economic world is no longer unipolar - ask any ai about brics - american millionaires and billionaires are powerless to stop other countries, including and especially india, from becoming our world's future ai leaders unless they invest heavily in the enterprise.

the third is because smarter people and smarter ais translates to stronger militaries. already russia, china, iran and north korea are ahead of the u.s. in hypersonic missile systems technology that render conventional military advantages like air craft carriers and fighter jets much less effective. we can see this happening today in ukraine.

the fourth is that whoever first said that ais won't take people's jobs but people who use them will was totally on target. luddites who want nothing to do with ai will, very unfortunately for them, pay a huge financial price for their ignorance and dismissal of the technology.

the fifth is that without ai our world hasn't a prayer against runaway global warming that, unless reversed, will render most of our planet uninhabitable by 2100.

the sixth and last reason that i can think of - please add others i've left out in the comments - is that the technology will make life so much better for everyone across every societal domain from medicine to education to governance. our world is much better in many ways today than it was hundreds of years ago because very smart people came up with very smart inventions like electricity and artificial fertilizer. now imagine the discoveries that lie ahead as millions of scientist agentic ais that are much more intelligent and much better informed than our human inventors are unleashed on our world.

yeah, it promises to be amazingly good. in fact those of us who understand this have a moral obligation to explain it to those who don't so that they aren't so far left behind.

who would have thought that a technology to a great extent developed by video gamers would be so completely game-changing!

I've been trying to research but can't find any definitive answers.

I tried MS Copilot for the first time today and its voice option is really impressive. I've read that there are AI text readers but I was hoping something exists like MS Copilot where it's the LLM AI with a voice.

Like with Claude I get frustrated by the limitation. I have a paid account with Claude and still hit limits in the chats. It's really frustrating.

I'm a hardware engineer so I don't have a good grasp on how all this works, but I know that some models for generative AI can be downloaded and run locally (e.g. stable diffusion). Is this the case with LLM? Is there a way to run something like MS Copilot locally so I don't keep hitting limits?

There were also a lot of frustrating limitations with MS Copilot that I kept hitting, where I would get a response like "I can't talk about that" even though it seemed I was asking fairly straightforward technical questions.

I can really see getting a lot of use out of an Alexa- or Siri-like platform where it just listens to what I say and speaks back to me. Does that exist yet and/or is that something I can setup locally?

I've recently discovered NotebookLM and I think it's pretty great. I wonder if there's any other tool alike which is secure and free.

1. No tennis partner? Play anytime with this AI robot.[1]
2. AI-Powered ‘Death Clock’ Promises More Exact Prediction Of Day You’ll Die.[2]
3. Study: 94% Of AI-Generated College Writing Is Undetected By Teachers.[3]
4. British PM opens Google-backed AI Campus to inspire students.[4]

Sources:

[1] https://www.foxnews.com/video/6365364768112

[2] https://www.ndtv.com/world-news/ai-powered-death-clock-promises-more-exact-prediction-of-day-youll-die-7145051

[3] https://www.forbes.com/sites/dereknewton/2024/11/30/study-94-of-ai-generated-college-writing-is-undetected-by-teachers/

[4] https://www.reuters.com/technology/artificial-intelligence/british-pm-opens-google-backed-ai-campus-inspire-students-2024-11-27/

I’ve recently seen a plethora of YouTubers/streamers using AI charecters

I have strong doubts these people have coding knowledge so if anyone knows the software they are using that would be great!

Here is ChatGPT's second attempt, for example:

Step 1: Train A splits

1. Train A moves 40 cars and its locomotive into the siding, leaving the other 40 cars on the main track.

2. Train A's locomotive remains attached to the 40 cars in the siding.

Step 2: Train B moves

1. Train B (intact with all 80 cars) proceeds along the main track and passes the 40 cars of Train A still on the main track.

2. Train B stops beyond the siding, leaving space for Train A to maneuver.

Step 3: Train A’s siding cars return to the main track

1. Train A’s locomotive pulls its 40 cars out of the siding and rejoins them with its other 40 cars left on the main track.

Now both trains are on their way again, having successfully passed each other. This method uses the siding's limited capacity effectively. Does this align better with the diagram's setup?

1. Study of ChatGPT citations makes dismal reading for publishers.[1]

2. Study shows 88% of Gen Z uses AI at work.[2]

3. Google DeepMind Research Unlocks the Potential of LLM Embeddings for Advanced Regression.[3]

4. ControlNets for Stable Diffusion 3.5 Large, Blur, Canny, and Depth.[4]

Sources: [1] https://techcrunch.com/2024/11/29/study-of-chatgpt-citations-makes-dismal-reading-for-publishers/

[2] https://www.foxnews.com/video/6365334892112

[3] https://www.marktechpost.com/2024/11/28/google-deepmind-research-unlocks-the-potential-of-llm-embeddings-for-advanced-regression/?amp

[4] https://stability.ai/news/sd3-5-large-controlnets

1. Study of ChatGPT citations makes dismal reading for publishers.[1]

2. Study shows 88% of Gen Z uses AI at work.[2]

3. Google DeepMind Research Unlocks the Potential of LLM Embeddings for Advanced Regression.[3]

4. ControlNets for Stable Diffusion 3.5 Large, Blur, Canny, and Depth.[4]

Sources: [1] https://techcrunch.com/2024/11/29/study-of-chatgpt-citations-makes-dismal-reading-for-publishers/

[2] https://www.foxnews.com/video/6365334892112

[3] https://www.marktechpost.com/2024/11/28/google-deepmind-research-unlocks-the-potential-of-llm-embeddings-for-advanced-regression/?amp

[4] https://stability.ai/news/sd3-5-large-controlnets

Say I have Audio Clip A and Audio Clip B.

They're both entirely unrelated, but I want to make A transition into B for whatever reason.

Is there any website that I could plug A and B into, and get an generated transition between them?

iq estimates for ais have not yet been formally standardized, but based on their scores on various benchmarks and tests, researchers have approximated their "intelligence," or iq-equivalent.

on november 29, 2024 i asked some of the top ais to estimate the iqs of the top five ais. here are the results, (keep in mind that the average iq of the profession with the highest score, medical doctor, is 120, genius-level iq is 130 wais/140 s-b, and the iq of the average nobel laureate is 150):

gpt-4o

1. gpt-4o: 130–150
2. gemini 1: 130–145
3. claude 2: 120–135
4. llama 2: 110–125
5. palm 2: 115–130

co-pilot

1. gpt-4 turbo (0409): 150-160
2. claude 3 opus: 145-155
3. gpt-4 omni (0807): 150-160
4. claude 3.5 sonnet: 140-150
5. gemini pro 1.5: 135-145

claude:

1. claude 3.5 sonnet: 160-180
2. gpt-4: 150-170
3. gemini ultra: 140-160
4. claude opus: 145-165
5. llama 3: 130-150

llama3:

1. palm 2: 160-180
2. llama (meta): 150-170
3. bard: 140-160
4. chatgpt: 130-150
5. ernie (baidu): 120-140

gemini advanced: gpt-4: 145-160+ gpt-3.5: 110-130 bard: 100-120 claude: 110-130 llama: 90-110

you may have noticed that the results vary, and some models tend to rank themselves highest. obviously, more objective measures are needed. but the above scores suggest that ai agents are already more than intelligent enough to assist, or in some cases replace, top human personnel in virtually every job, field and profession where iq makes a difference. that's why in 2025 enterprise ai agent use is expected to go through the roof.

so hold on to your hats because during these next few years our world is poised to advance across every sector in ways we can hardly imagine!

1. Microsoft denies training AI models on user data.[1]

2. 360 launches Nano Search, redefining search engines with AI integration.[2]

3. These economists say artificial intelligence can narrow U.S. deficits by improving health care.[3]

4. Cloned customer voice beats bank security checks.[4]

Sources: [1] https://www.reuters.com/technology/artificial-intelligence/microsoft-denies-training-ai-models-user-data-2024-11-27/

[2] https://technode.com/2024/11/29/360-launches-nano-search-redefining-search-engines-with-ai-integration/

[3] https://www.cnbc.com/amp/2024/11/28/these-economists-say-ai-can-improve-the-fiscal-health-of-the-us.html

[4] https://www.bbc.co.uk/news/articles/c1lg3ded6j9o.amp

The new Alibaba QwQ 32B is exceptional for its size and is pretty much SOTA in terms of benchmarks, we had deepseek r1 lite a few days ago which should be 15B parameters if it's like the last DeepSeek Lite. It got me thinking what would happen if we had this architecture with the next generation of scaled up base models (GPT-5), after all the efficiency gains we've had since GPT-4's release(Yi-lightning was around GPT-4 level and the training only costed 3 million USD), it makes me wonder what would happen in the next few months along with the new inference scaling laws and test time training. What are your thoughts?

Looking for a video editor that I can put my own clips into, to turn into a full video.

So far they all seem to want to generate it themselves, I just want simple edits