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Enhanced AI Capabilities

Phil
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Enhanced AI Capabilities

Flex1.Alpha Finetuning and Turbo Lora Setup

Downloading Models

To get started with Flex1.Alpha finetuning and Turbo Lora, you’ll need to download the following models:

Workflow

For a more detailed walkthrough of the workflow, please refer to the following post: https://www.patreon.com/posts/120375562

Recommended Online AI Platform

For a seamless experience with Stable Diffusion & Flux, consider using the recommended online AI platform: https://www.thinkdiffusion.com/?via=sebastian

ComfyUI Workflows

For 1.5 models, use the following ComfyUI workflow: https://www.patreon.com/posts/comfyui-1-5-86145057
For SDXL, use the following ComfyUI workflow: https://www.patreon.com/posts/comfyui-workflow-86104919

Community and Support

Chat with me in our community Discord: https://discord.gg/dFB7zuXyFY

Additional Resources

FAQs

Q: What is Flex1.Alpha?
A: Flex1.Alpha is a model for fine-tuning and generating high-quality images.

Q: What is Turbo Lora?
A: Turbo Lora is a model for generating high-quality images using a different approach.

Q: How do I use these models?
A: Please refer to the workflow post for a detailed guide on how to use these models.

Q: What is ComfyUI?
A: ComfyUI is a workflow for generating high-quality images using the Flex1.Alpha and Turbo Lora models.

Q: Where can I find more information on Stable Diffusion and ControlNet?
A: Visit the links provided in the article for more information on Stable Diffusion and ControlNet.

Create New Kinds of Emojis with Genmoji

Avery Winslow
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Create New Kinds of Emojis with Genmoji

Enable Apple Intelligence
================——–

Before we start, you’ll want to check if you have access to Apple Intelligence. It launched with iOS 18.1 and iPadOS 18.1, but Genmoji specifically launched in iOS 18.2. To check your software version, go to Settings > General > About. You’re good to go if it says iOS 18.2 or newer. If you need to update, back up your device first.

If you still don’t have access to Genmoji, make sure that Apple Intelligence is enabled (it should be by default). Go to Settings > Apple Intelligence & Siri and toggle on Apple Intelligence. It’s worth noting that Apple Intelligence is only available on select iPhones—the iPhone 16 range, iPhone 15 Pro, and iPhone 15 Pro Max.

Enter Your Prompt

When you have a Messages window open, tap on the emoji icon (the smiley face) or keyboard icon (the globe) to access the emoji keyboard.

In the upper right-hand corner of the keyboard, tap on the Genmoji icon (the pink and blue smiley face with a plus sign).

Type a few words or a phrase into the textbox that describes what you’re looking for and tap Done.

Swipe through the populated Genmojis and tap Add on the one you want to use. It’ll then appear in your drawer of emojis and stickers.

You can also create Genmojis based on images of people in your Photos app. Start by typing in a prompt like “Julian celebrating his birthday,” tap “Choose a Person” from the list of contacts that appear, and select the specific person. From there, you’ll see various Genmojis populate based on the prompt. Tap Add when you’ve found the one you want to use.

Fine-Tune Your Genmoji

You can also tweak your original prompt to create new versions of your original Genmoji.

In the Genmoji window, tap on the text box.

Type in a refined version of your prompt or an entirely new version. For example, instead of “dog in a birthday hat,” you can change it to “dog with a birthday cake.” It will then automatically repopulate new versions.

Conclusion

With Genmoji, you can create custom emojis that are tailored to your specific needs. Whether you’re looking to add a personal touch to your messages or simply want to express yourself in a more creative way, Genmoji is a powerful tool that can help you do just that.

Frequently Asked Questions (FAQs)

Q: How do I access Genmoji?
A: To access Genmoji, go to Settings > Apple Intelligence & Siri and toggle on Apple Intelligence.

Q: Which iPhones support Genmoji?
A: Genmoji is only available on select iPhones, including the iPhone 16 range, iPhone 15 Pro, and iPhone 15 Pro Max.

Q: Can I create Genmojis based on images of people in my Photos app?
A: Yes, you can create Genmojis based on images of people in your Photos app. Start by typing in a prompt, select the person, and then tap Add to use the generated Genmoji.

DeepSeek-R1 Rivals OpenAI in Performance

Taylor Marlowe
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DeepSeek-R1 Rivals OpenAI in Performance

DeepSeek Unveils Revolutionary AI Models for Complex Reasoning Tasks

DeepSeek has introduced its first-generation models, DeepSeek-R1 and DeepSeek-R1-Zero, designed to tackle complex reasoning tasks. The models are trained using large-scale reinforcement learning (RL) and have demonstrated impressive performance in various benchmarks.

DeepSeek-R1-Zero: A Breakthrough in Reinforcement Learning

DeepSeek-R1-Zero is trained solely through RL without relying on supervised fine-tuning (SFT) as a preliminary step. This approach has led to the natural emergence of "numerous powerful and interesting reasoning behaviors," including self-verification, reflection, and the generation of extensive chains of thought (CoT). Notably, this is the first open research to validate that reasoning capabilities of large language models (LLMs) can be incentivized purely through RL, without the need for SFT.

DeepSeek-R1: The Flagship Model

However, DeepSeek-R1-Zero’s capabilities come with certain limitations, including endless repetition, poor readability, and language mixing. To address these shortcomings, DeepSeek developed its flagship model, DeepSeek-R1. DeepSeek-R1 builds upon its predecessor by incorporating cold-start data prior to RL training, enhancing the model’s reasoning capabilities and resolving many of the limitations noted in DeepSeek-R1-Zero.

Performance and Comparison

DeepSeek-R1 achieves performance comparable to OpenAI’s much-lauded o1 system across mathematics, coding, and general reasoning tasks, cementing its place as a leading competitor. Notably, the distilled version DeepSeek-R1-Distill-Qwen-32B has demonstrated exceptional results, even outperforming OpenAI’s o1-mini across multiple benchmarks.

Distillation: Unlocking Performance Gains

DeepSeek researchers also highlighted the importance of distillation – the process of transferring reasoning abilities from larger models to smaller, more efficient ones. Smaller distilled iterations of DeepSeek-R1, such as the 1.5B, 7B, and 14B versions, were able to hold their own in niche applications. The distilled models can outperform results achieved via RL training on models of comparable sizes.

Open-Source Models and Pipeline

DeepSeek has shared insights into its rigorous pipeline for reasoning model development, which integrates a combination of supervised fine-tuning and reinforcement learning. The company has also open-sourced both DeepSeek-R1-Zero and DeepSeek-R1, along with six smaller distilled models. These models are available in configurations spanning from 1.5 billion to 70 billion parameters, supporting Qwen2.5 and Llama3 architectures.

Conclusion

DeepSeek’s innovative approach to AI model development has led to significant breakthroughs in complex reasoning tasks. The company’s flagship model, DeepSeek-R1, has achieved impressive performance and has the potential to revolutionize the field of AI. With the open-source release of its models and pipeline, DeepSeek is empowering the wider industry to build upon its research and advance the field of AI.

FAQs

Q: What is DeepSeek-R1-Zero?
A: DeepSeek-R1-Zero is a large language model trained solely through reinforcement learning without relying on supervised fine-tuning.

Q: What are the limitations of DeepSeek-R1-Zero?
A: DeepSeek-R1-Zero’s capabilities come with certain limitations, including endless repetition, poor readability, and language mixing.

Q: What is DeepSeek-R1?
A: DeepSeek-R1 is the flagship model developed by DeepSeek, which builds upon its predecessor by incorporating cold-start data prior to RL training.

Q: How does distillation work?
A: Distillation is the process of transferring reasoning abilities from larger models to smaller, more efficient ones, which can unlock performance gains even for smaller configurations.

Q: Are the models open-source?
A: Yes, DeepSeek has open-sourced both DeepSeek-R1-Zero and DeepSeek-R1, along with six smaller distilled models, under the MIT License.

US Official Defends Export Controls

Parker Lennox
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US Official Defends Export Controls

US Officials’ Efforts to Slow China’s Chip and AI Development

Four-Year Effort to Impede China’s Progress

For the past four years, Alan Estevez has been finding new obstacles to place in China’s path as it tries to use US technology to develop cutting-edge chips and artificial intelligence.

"We’re running down the alley throwing garbage cans," Estevez told the Financial Times on his penultimate day as under-secretary of commerce for industry and security in Joe Biden’s administration.

Challenges in Implementing Export Controls

Estevez and Tarun Chhabra, a White House official, have been responsible for policies designed to slow China’s semiconductor and AI industries by severing access to critical US technology. In their final week, the commerce department unveiled several significant rules, including a global licensing regime for AI data center chips that garnered resistance from industry and criticism from the European Commission.

Results of the Efforts

Estevez conceded that US policy could do no more than slow China since it had smart engineers, money to invest, and government support. But he said Washington had been successful, pointing to statements from Chinese AI groups identifying US export controls as their main obstacle.

"We’ve definitely impeded the People’s Republic of China’s ability to produce those chips and ergo have impacted their ability to develop large language models," said Estevez, referring to the models that power AI products.

Criticism and Pushback

The outgoing under-secretary has straddled two forces: American companies and some allies who believe the US went too far, and critics who wanted the administration to take even harsher, quicker action against China and its military. He pushed back against criticism of the recent AI rule, which puts countries into three tiers in terms of ease of access to US chips. Estevez said it appeared to spark more criticism because the companies complaining, such as Nvidia, were household names, unlike the chipmaking equipment producers that opposed other export controls.

Looking Ahead

As Estevez leaves office, he stressed that the Bureau of Industry and Security, which he runs, needed more resources to deal with the expanding threat. It also needs more modern technology, including AI, to boost efficiency in order to, for example, stay on top of Chinese companies that change their name to avoid scrutiny from the US.

"I wish I could have made the inter-agency process a little more agile and a little more strategic," he said, noting that he and Chhabra would normally "cut a deal" but then have to grapple with the whole government.

Conclusion

The US administration’s efforts to slow China’s chip and AI development have been met with both praise and criticism. While some see it as a necessary step to protect national security, others believe it is too restrictive and will ultimately hinder innovation. As Estevez leaves office, he remains committed to the cause, emphasizing the need for continued vigilance and cooperation with allies to counter the growing threat posed by China’s technology sector.

FAQs

Q: What are the US administration’s goals in slowing China’s chip and AI development?
A: The US administration aims to slow China’s progress by limiting its access to critical US technology and expertise.

Q: What are the challenges in implementing export controls?
A: The administration has faced resistance from industry and criticism from allies, with some arguing that the measures are too restrictive and will hinder innovation.

Q: What is the impact of the US administration’s efforts on China’s AI development?
A: According to Estevez, the US has impeded China’s ability to develop large language models, which power AI products.

Q: What are the next steps for the US administration in this area?
A: The administration plans to continue to monitor and address the evolving threat posed by China’s technology sector, with a focus on AI and other emerging technologies.

Keanu Reeves’ Virtual Doppelganger: Tencent’s AI Video Generator Unleashed

Phil
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Keanu Reeves’ Virtual Doppelganger: Tencent’s AI Video Generator Unleashed

The Future of Video Production: Tencent’s HunyuanVideo AI Model

Revolutionizing Video Production with AI

Less than a decade ago, it took a huge VFX team months of work to put Peter Cushing’s face onto Huy Henry’s in Rogue One: A Star Wars Story. Now, AI seems to be able to do something comparable in a matter of minutes. Tencent’s new open-source AI video model, HunyuanVideo, is able to achieve this feat and more.

Introduction to HunyuanVideo

HunyuanVideo is a game-changer in the world of video production. Unlike previous deepfake technology, it uses video-to-video mapping to directly map a new actor’s face over existing footage. This allows for a more seamless and realistic integration of the new actor’s face into the original footage.

Key Features of HunyuanVideo

  • Video synthesis with full-body simulation
  • Rapid training on minimal data using low-rank adaptation (LoRA) models
  • No censorship to prevent the use of celebrity likenesses
  • 13 billion parameters, making it the most parameter-rich and high-performance text-to-video model available in the open-source domain
  • Capable of generating videos that exhibit high physical accuracy and scene consistency
  • Rich semantic expression, completing sequential actions in one go
  • Strong compliance with physical laws
  • Ability to break single-camera movements for integration of director-level camera work

Demonstrations of HunyuanVideo

A recent demo by TikTok user @allhailthealgo showcases the capabilities of HunyuanVideo. The video attempts to put Keanu Reeves into a scene from Apple TV’s hit series Severance, and the results are impressive. The video quickly took off on TikTok and other platforms, with many observers blown away by the results.

Concerns and Controversies

While HunyuanVideo has the potential to revolutionize the video production industry, there are concerns about its use and potential misuse. The lack of censorship is certain to increase fears about malicious use of deepfakes to spread fake news. Additionally, AI video remains a controversial topic in terms of quality and ethics, as seen in Coca-Cola’s recent AI Christmas ad that received a public backlash.

Conclusion

HunyuanVideo is a powerful tool that has the potential to change the video production industry. With its ability to generate high-quality videos quickly and efficiently, it is likely to be used in a variety of applications, from film and television to advertising and more. However, it is important to consider the potential risks and controversies associated with its use.

FAQs

Q: What is HunyuanVideo?
A: HunyuanVideo is a new open-source AI video model developed by Tencent.

Q: What are the key features of HunyuanVideo?
A: HunyuanVideo uses video-to-video mapping, has rapid training on minimal data, and has no censorship to prevent the use of celebrity likenesses.

Q: What are the potential applications of HunyuanVideo?
A: HunyuanVideo has the potential to be used in film and television, advertising, and other industries.

Q: Are there any concerns about the use of HunyuanVideo?
A: Yes, there are concerns about the potential misuse of HunyuanVideo to spread fake news and the lack of censorship in its use.

From calculators to pregnancy tests, people can’t stop running DOOM

Phil
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From calculators to pregnancy tests, people can’t stop running DOOM

It Runs DOOM

It’s become a bit of an inside joke in the game dev community that DOOM will run on anything – and I mean anything. Since its launch in 1993, the iconic first-person shooter has built a cult following thanks to its elite lightweight engine and with the source code freely available online, devs have been discovering increasingly obscure ways to play this retro classic.

Weirdest Ways to Play DOOM

Forget the retro game consoles from days of yore, you only have to look at the r/itrunsdoom subreddit to see the increasingly unhinged devices that the community has hacked so far. From an ATM machine to the humble calculator, these are some of the weirdest ways to play DOOM.

01. Microsoft Word

DooM in a MS Word Document from r/itrunsdoom

Software engineer Wojciech Graj demonstrated how DOOM can run in a standalone Word document. Unlike more rudimentary screens, MS Word brings you DOOM in full colour, making it a somewhat faithful recreation of the original gaming experience.

Better still, you can play it yourself – all you need is an updated version of MS Word. Available from GitHub, the 6.6MB doc contains a source port of doomgeneric. "Every game tick, doomgeneric.dll creates a bmp image containing the current frame and uses GetAsyncKeyState to read the keyboard state," Wojciech explains.

02. ATM

Playing Doom on an ATM – YouTube

Louie Roots, a curator and game developer based in Perth, stumbled upon this abandoned ATM machine and with the help of his friend Julien, the pair were able to recreate a fairly faithful version of DOOM. Utilising the "OEM PC and display, plus an i-Pac controller for mapping the side buttons" the pair eventually got creative by using the PIN pad to control gameplay. With the ATM machine’s original speaker intact, there’s even the added bonus of the original sound design to add to the immersion.

03. Apple Watch

Doom on the Apple Watch – watchOS2 – YouTube

It seems only natural that DOOM would run on the Apple watch, and while the graphics are fairly crisp compared to other versions, the WatchOS 2’s poky screen makes for a somewhat cramped gameplay experience.

Created as part of a 10-hour hackathon, Facebook devs Lior Tubi and Mehdi Mulani set to work installing nDoom. "We used the UI thread to dispatch iterations of Doom’s run loop. We wired button clicks to post events to Doom as if they were coming from a keyboard," Lior explains on his YouTube channel. "By far the most intensive task was drawing images to the screen. Trying to draw them too fast resulted in annoying unresponsiveness. Tweaking UIImage’s properties and only updating the image if anything has changed allowed us to squeeze some more juice," he adds.

04. Calculator

Running Doom on a Calculator! TI-83 Plus Games Tutorial – YouTube

Across the years numerous creators have successfully run DOOM on a calculator – the fan favourite model being the TI-83 Plus graphical calculator. In the video above, YouTuber LazyGameReviews demonstrates how to install DOOM alongside other popular games like Tetris, Jezzball and even Super Mario.

05. Pregnancy Test

Yes, I’m not kidding. Perhaps the most bizarre way to play DOOM is on a pregnancy test (I did say you can run DOOM on just about anything). After seeing the inside of a pregnancy test on X, programmer Foone Turing decided to put the device to the test, removing its interiors to run the game on its minuscule display.

Foone worked on several models before achieving the impressive results above. If we want to get technical, the pregnancy test in question isn’t running DOOM with its original hardware, but major points for creativity (and absurdity).

Conclusion

DOOM’s lightweight engine and freely available source code have led to some of the most creative and bizarre ways to play this retro classic. From Microsoft Word to a pregnancy test, the community has shown that with a little creativity and coding skills, you can run DOOM on just about anything.

FAQs

Q: Can I run DOOM on my smartphone?
A: Yes, there are several DOOM ports available for Android and iOS devices.

Q: Is it possible to run DOOM on a PC without a graphics card?
A: Yes, DOOM can run on a PC without a graphics card using software rendering.

Q: Can I play DOOM on a console?
A: Yes, DOOM is available on various consoles including PlayStation, Xbox, and Nintendo Switch.

Q: Is DOOM still popular today?
A: Yes, DOOM has a dedicated fan base and continues to be popular among gamers and game developers.

Gangster Tech Regulation

Avery Winslow
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Gangster Tech Regulation

The Rot of Corruption: How Tech Titans are Buying Their Way to the Top

President Donald Trump is being sworn in today, and we are about to find out what happens when the government is actually as corrupt as our most brain-rotted conspiracy theorists imagine.

Trump’s Inauguration: A Celebration of Corruption

“Trump Inauguration, Awash in Cash, Runs Out of Perks for Big Donors,” The New York Times reported, somewhat inaccurately. Sure, the Trump people ran out of VIP tickets, but that’s not what the donors were buying. This is pure, obvious corruption — the kind that used to trigger shame, back when we were a populace that could still experience that emotion.

What are these Men Buying?

Our tech overlords all have problems, and they want to buy the solutions. I guess it was easier than making products people actually like.

“First Buddy” Elon Musk spent at least a quarter of a billion dollars electing Donald Trump. Corporations and wealthy donors have sent half a billion more since he was elected. Amazon, Google, Uber, Microsoft, and Meta donated $1 million each to Trump’s inauguration, as did Apple’s Tim Cook and OpenAI’s Sam Altman.

The Crypto Industry: A Special Interest Group

Perhaps nobody has spent more to buy a break from public scrutiny than the crypto industry. “The crypto guys are just blowing it out,” an anonymous Trump advisor told Axios. “It used to be $1 million was a big number. Now we’re looking at some folks giving like $10 [million] or $20 million.” They want a friendly Securities and Exchange Commission.

Selective Legal Enforcement: A Sword of Damocles

Keeping Trump happy could be expensive, but cheaper than legal battles. Selective legal enforcement puts every company under a sword of Damocles — make the wrong move and you can be cut to shreds by lackeys in Congress or the FCC.

Conclusion

There are those who will say that this is good — that the corruption is happening in the open instead of the shadows. But public, open corruption allows even more rottenness to fester in secret. Consider all the strongman governments; besides their advances in bribery, what did they innovate? Silicon Valley’s leaders fashion themselves as titans of industry, but what they’re really building is a golden age of grift.

FAQs

Q: What is the purpose of this article?
A: The purpose of this article is to highlight the corruption that is happening in the tech industry and how it is affecting society.

Q: Who are the main players involved in this corruption?
A: The main players involved in this corruption are the tech giants such as Amazon, Google, Uber, Microsoft, and Meta, as well as the crypto industry and the government.

Q: What are the consequences of this corruption?
A: The consequences of this corruption are that it is making life worse for everyone except the billionaires, and it is also allowing even more rottenness to fester in secret.

Mike Mignola’s Hellboy Farewell

Phil
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Mike Mignola’s Hellboy Farewell

Mike Mignola Redefines the World of Comics with "Bowling With Corpses"

Mike Mignola, the renowned comic book artist, has redefined the world of comics with his new anthology, "Bowling With Corpses and Other Strange Tales From Lands Unknown". This new book is a departure from his previous works, such as Hellboy, and marks a new era in his career.

The Inspiration Behind "Bowling With Corpses"

Mignola fell in love with an Italian folktale about a boy who wins a prize from a corpse king, a pirate girl who strikes a deal with the devil, and a vampire girl who… well, you get the idea. He wanted to create a fantasy world, an "almost-our-world" place where he could adapt folk and fairy tales into a fantasy setting. This led him to create a whole world, with a creation myth, history, and maps.

The Process of World-Building

Mignola’s process is quite unique. He takes in various stories, mashes them together, and chews on them until they become his own. He then draws and writes them. "It’s all about taking in things, mashing them together, and chewing them over till they become yours," he says. This process allowed him to create a rich and vibrant world, full of strange and wonderful creatures.

The Art of Storytelling

Mignola is proud of the artwork in "Bowling With Corpses", particularly the sequence of the skull scattering leg bones. He also loves doing transformation scenes, such as the wolf-to-man and bat-to-girl transformations. These scenes are a testament to his skill as an artist.

Advice for Aspiring Artists

When asked for advice, Mignola humbly replied that he has no idea what goes on in the comic book world anymore. However, he did share his own experience of creating comics, saying, "I read a lot, take things in, and try to figure out what I can do with it."

Conclusion

Mike Mignola’s "Bowling With Corpses and Other Strange Tales From Lands Unknown" is a testament to his creativity and skill as an artist. This new anthology marks a new era in his career, one that is full of wonder and imagination. With its unique blend of fantasy and folklore, this book is sure to captivate readers and inspire aspiring artists.

Frequently Asked Questions

Q: What inspired you to create "Bowling With Corpses"?
A: I fell in love with an Italian folktale and wanted to create a fantasy world where I could adapt folk and fairy tales.

Q: How do you approach world-building?
A: I take in various stories, mash them together, and chew on them until they become my own.

Q: What do you look for in an artist?
A: I read a lot, take things in, and try to figure out what I can do with it.

Q: Who would you want to bowl with from your created characters?
A: I think I’d like to bowl with Yeb, the kid from the folktale, and maybe even Una the vampire girl.

5 Ed Innovations to Watch in 2025

Morgan Tate
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5 Ed Innovations to Watch in 2025

Key Points:

  1. Breakthrough assessments will try to break through.
  2. Self-help bots will proliferate in consumer and education markets.
  3. AI will start to displace our weak ties.
  4. Colleges will be forced to grapple with the looming experience gap.
  5. Districts will renew their focus on whole child and economic mobility efforts.

Breakthrough Assessments Will Try to Break Through

Perhaps the most exciting developments in AI for teaching and learning could come from novel assessment models that can offer formative, dynamic performance task assessments at scale. We’ve long seen that underinvestment in diagnostics, assessments, and outdated policy has prevented schools from adopting truly personalized, competency-based systems. The question is not whether new technologies could overcome that but if our policies and practices can absorb the potential of those new technologies into an entrenched system anchored on high-stakes summative tests.

Self-Help Bots Will Proliferate in Consumer and Education Markets

A video of Sal Khan instructing GPT-4o to tutor his son was widely circulated last year. But while that portrait of a parent, bot, and student solving a problem together was compelling, I’m not convinced tools are being built with the core assumption or hope that users will be surrounded by human support.

AI Will Start to Displace Our Weak Ties

Self-help bots are one aspect of a much larger category of AI companions gaining steam in consumer markets. As I’ve noted in the past, AI companions are on a clear path to disrupting human connection as we know it. They cater to one of the most fundamental things that make us all tick: our deeply wired need to connect.

Colleges Will Be Forced to Grapple with the Looming Experience Gap

While AI stands to revolutionize how schools approach assessment and support, it also puts greater pressure on what schools are expected to do to prepare students for the labor market. As education and workforce analyst and investor Ryan Craig has pointed out, entry-level jobs increasingly (and ironically) require multiple years of experience. Craig argues that even if recent graduates have the skills required for a job, employers today are looking for more.

Districts Will Renew Their Focus on Whole Child and Economic Mobility Efforts

This is part prediction, part hope. As AI tools start to support districts’ immediate challenges, like absenteeism and proficiency, I’m waiting to see if schools start to demand tools that reach higher. What makes school districts tick in 2025? Before the pandemic, many districts were operating under an ambitious north star and harnessing a broader aperture in terms of the scope of their impact – namely, supporting whole child development and working to ensure they were planting the seeds for students further from opportunity to be on a path to upward mobility.

Conclusion

As we enter 2025, it’s essential to consider the motivations behind the trends we’re watching. AI is a common denominator to most of the trends I’m watching this year, but it’s the motivations behind those trends that merit a closer look. I’ll be watching for breakthrough assessments, self-help bots, AI companions, experience gaps, and whole child and economic mobility efforts, and advocating for schools to demand tools that tackle both information and connection gaps with a longer view toward the supports and networks students need to succeed.

FAQs

Q: What are the key points of this article?

A: The key points of this article are breakthrough assessments, self-help bots, AI companions, experience gaps, and whole child and economic mobility efforts.

Q: What is the main theme of this article?

A: The main theme of this article is the impact of AI on education, workforce, and beyond in 2025, with a focus on the motivations behind the trends.

Q: What are the author’s predictions for 2025?

A: The author predicts breakthrough assessments, self-help bots, AI companions, experience gaps, and whole child and economic mobility efforts, and advocates for schools to demand tools that tackle both information and connection gaps.

OpenAI’s O3 Model Benchmarking Dataset Revealed

Jordan Waverly
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OpenAI’s O3 Model Benchmarking Dataset Revealed

Revelations that OpenAI Secretly Funded and Had Access to FrontierMath Benchmarking Dataset Raise Concerns

OpenAI’s Secret Involvement Raises Questions about the Validity of o3 Model’s High Scores

Revelations that OpenAI secretly funded and had access to the FrontierMath benchmarking dataset are raising concerns about whether it was used to train its reasoning o3 AI model, and the validity of the model’s high scores.

Access to the Benchmarking Dataset

In addition to accessing the benchmarking dataset, OpenAI funded its creation, a fact that was withheld from the mathematicians who contributed to developing FrontierMath. Epoch AI belatedly disclosed OpenAI’s funding only in the final paper published on Arxiv.org, which announced the benchmark. Earlier versions of the paper omitted any mention of OpenAI’s involvement.

Screenshot of FrontierMath Paper

[Image: Screenshot of FrontierMath paper]

Closeup of Acknowledgement

[Image: Closeup of acknowledgement]

Previous Version of Paper that Lacked Acknowledgement

[Image: Previous version of paper that lacked acknowledgement]

OpenAI 03 Model Scored Highly on FrontierMath Benchmark

The news of OpenAI’s secret involvement is raising questions about the high scores achieved by the o3 reasoning AI model and causing disappointment with the FrontierMath project. Epoch AI responded with transparency about what happened and what they’re doing to check if the o3 model was trained with the FrontierMath dataset.

Giving OpenAI Access to the Dataset was Unintended

Giving OpenAI access to the dataset was unexpected because the whole point of it is to test AI models, but that can’t be done if the models know the questions and answers beforehand.

Reddit Discussion

A post on the r/singularity subreddit expressed disappointment and cited a document that claimed that the mathematicians didn’t know about OpenAI’s involvement:

"Frontier Math, the recent cutting-edge math benchmark, is funded by OpenAI. OpenAI allegedly has access to the problems and solutions. This is disappointing because the benchmark was sold to the public as a means to evaluate frontier models, with support from renowned mathematicians. In reality, Epoch AI is building datasets for OpenAI. They never disclosed any ties with OpenAI before."

Epoch AI’s Response

Tamay Besiroglu, associated director at Epoch AI, acknowledged that OpenAI had access to the datasets but also asserted that there was a "holdout" dataset that OpenAI didn’t have access to.

Holdout Dataset

Glazer, lead mathematician at Epoch AI, confirmed that OpenAI has the dataset and that they were allowed to use it to evaluate OpenAI’s o3 large language model, which is their next state-of-the-art AI that’s referred to as a reasoning AI model.

More Facts About OpenAI & FrontierMath Revealed

Elliot Glazer, lead mathematician at Epoch AI, confirmed that OpenAI has the dataset and that they were allowed to use it to evaluate OpenAI’s o3 large language model, which is their next state-of-the-art AI that’s referred to as a reasoning AI model.

Conclusion

The drama stands until the Epoch AI evaluation is completed, which will indicate whether or not OpenAI had trained their AI reasoning model with the dataset or only used it for benchmarking it.

FAQs

Q: What is the FrontierMath benchmarking dataset?
A: FrontierMath is a benchmarking dataset for evaluating AI models.

Q: Who funded the creation of the FrontierMath dataset?
A: OpenAI funded the creation of the FrontierMath dataset.

Q: Did OpenAI have access to the FrontierMath dataset?
A: Yes, OpenAI had access to the FrontierMath dataset.

Q: Was OpenAI’s involvement disclosed to the mathematicians who contributed to the development of FrontierMath?
A: No, OpenAI’s involvement was not disclosed to the mathematicians who contributed to the development of FrontierMath.

Q: What is the holdout dataset?
A: The holdout dataset is a separate dataset that is not accessible to OpenAI, which is used to verify the performance of AI models.

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