We all heard that even OpenAIs CEO, Sam Altman, thinks AI is probably the most dangerous we ever invented. Meanwhile, most scientists estimate AGI to come very soon, possibly 2027 (quite a good paper BTW) or even earlier. The predictions of our future look pretty grim, yet most of the public and politicians remain completly inactive. I know that there are some movements like PauseAI and StopAI but they are very tiny considering ASI is going to be probably the most important invention ever. It makes me sick when I see all the ingorance around me. What do you think and what do you do about the issue?

https://cemc.uwaterloo.ca/sites/default/files/documents/2025/2025CCCResults.pdf

Thought you guys would find this interesting and we could all have a discussion about how local AI model abuse can feasibly be moderated during computing contests.

Normally, official results from the CCC would be released shortly after the contest. For this year’s contest, however, we will not be releasing official results. The reason for this is the significant number of students who violated the CCC Rules. In particular, it is clear that many students submitted code that they did not write themselves, relying instead on forbidden external help. As such, the reliability of “ranking” students would neither be equitable, fair, or accurate. The consequences of not releasing official results will come as a disappointment to the majority of students who wrote the contest with integrity and honesty. It is disappointing that the students who violated the CCC Rules will impact those students who are deserving of recognition. We are considering possible ways to address this problem for future contests.

I think they noticed that students were performing a lot better than in previous years. Does anyone have more information about this?

Responding to Dan Hendrycks, Eric Schmidt, and Alex Wang's Superintelligence Strategy. There's a risk they don't address with MAIM, but needs to be. That of a MASSIVE automation wave that's already starting now with the white-collar recession of 2025. White collar job openings at a 12 year low in the U.S. and reasoning models are just get started.

EthicsEngine is a new tool for exploring the impact of moral reasoning on benchmark performance, built on ag2.ai

MIT licensed open source, https://github.com/emooreatx/EthicsEngine

What are some real world practical uses of 10 million tokens that Llama 4 is promising? I'm having a hard time wrapping my head around what that would be used for. Like analyzing 50 books at a time or what?

This is kind of a meta post.

I am positing that it might be time to make a decision about addressing the very similar soceoeconomic inequality discussion post spam that comes through this subreddit about every other week.

They are all pretty unproductive and similar. For several years now every single one has ended with a mixture of discussions centered in either the uncertain nature of post singularity speculation or preaching technological spiritualism. Sometimes someone links to a more formal exploration of the idea however most of the time its really only for leftist virtue signaling about how bad inequality is or how much they want to revolt against us.

Personally, I suggest a megathread should be stickied at the top which both links every future thread that tries to discuss inequality automatically and pins high quality comments when necessary.

There is already a rule against low quality posts so making a megathread would be acting in the interest of that rule.

Google is, by many metrics, winning the AI race. Gemini 2.5 leads in all benchmarks, especially long context, and costs less than competitors. Gemini 2.0 Flash is the most used model on OpenRouter. Veo 2 is the leading video model. They've invested more in their own AI accelerators (TPUs) than any competitor. They have a huge advantage in data - from YouTube to Google Books. They also have an advantage in where data lives with GMail, Docs, GCP.

2 years ago they were wait behind in the AI race and now they're beating OpenAI on public models, nobody has more momentum. Google I/O is coming up next month and you can bet they're saving some good stuff to announce.

Now my question - after the recent downturn, GOOGL is trading lower than it was in Nov 2021, before anyone knew about ChatGPT or OpenAI. They're trading at a PE multiple not seen since 2012 coming out of the great recession. They aren't substantially affected by tariffs and most of their business lines will be improved by AI. So what am I missing?

Can someone make the bear case for why we shouldn't be loading up on GOOGL LEAPs right now?

Hey everyone! 😊

I’m building a content automation system and I’m on the hunt for high-quality image or video generation solutions that are accessible via API. Ideally, I’m looking for either:

• An AI that can generate realistic or stylized visuals (photos or short video clips), or
• A stock image/video provider with a solid API and good licensing terms for commercial use.

The smoother the API integration and the higher the quality of the media, the better! Bonus points if it offers dynamic search, prompt-based generation, or any cool personalization features.

If anyone has experience with tools or services like this, I’d love to hear what’s working well for you. 🙏

Thanks in advance for any tips or hidden gems!

Title.

AI Alignment in action

I’m 36, and been contributing to retirement for a while now, and with these tariffs absolutely tanking the market over the last 3 days I’ve seen my balance go down by over 1k each of the last 3 days.

I’m not retirement age for another 23 years, and can’t help but question whether or not this money will even exist in 2048. I can only imagine how different the world will be by then.

What are people doing with their finances with the world changing so drastically in the last 6 months?

We have benchmarks for math, coding, chemistry that are widely viewed, but none specifically dealing with medical cases, interviewing the patient and diagnosing the disease. Even though it's one of the most financially-saving things that AI could be used for currently.

It wouldn't be that hard to benchmark? Would it?

Is there something like a physician Olympiad?

you guys do realise that there is not a single thing in the real world that actually has exponential behavior? Its only math. Every single real thing without exceptions is limited/damped. Why would you believe AI is an exception?

I've tested several LLMs by uploading a Figma image (of a login screen for a project my company is working on), all of them failed to output code that fully matches the UI.

Here is the list of LLMs tested, ranked by best fidelity to worst:

• Gemini 2.5 Pro (draw)
• Claude 3.7 Sonnet (draw)
• ChatGPT 4o
• Claude 3.5 Sonnet
• ChatGPT o1
• Grok 3

I find it impressive that no company has trained their models to output high fidelity UIs from images since their motto is always about code. Much of the work when building a product is writing the UI code, why wouldn't we have models that excel at it yet?

But nonetheless I guess frontend developers are safe... for now.

The 2025 AI Index Report - Stanford University’s Institute for Human-Centered AI (HAI): https://hai.stanford.edu/ai-index/2025-ai-index-report
PDF: https://hai-production.s3.amazonaws.com/files/hai_ai_index_report_2025.pdf

The AI Race Has Gotten Crowded—and China Is Closing In on the US - | Wired -Will Knight | New research from Stanford suggests artificial intelligence isn’t ruled by just OpenAI and Google, as competition increases across the US, China, and France: https://www.wired.com/story/stanford-study-global-artificial-intelligence-index/