Asanka2020

Agentic Software Developer. Founder & CTO @cineko_ai | Founder @heartfoodaus | Japanese Rice Farmer | Reimagining creativity, food, and human potential.

[Asanka2020 @asanka2020]

@Jason I’m in

[Lenny Rachitsky @lennysan]

Can't stop staring at this image and thinking about what it means for the future

[Asanka2020 @asanka2020]

@karpathy I can relate to this. The transformational gap now is the human understanding of what is required in order to instruct the AI. I'm glad to be at the forefront of this revolution.

[Mindset Machine  @mindsetmachine]

Can you read 900 words per minute?
Try it.

[Asanka2020 @asanka2020]

@rom1trs Editor

[Naval @naval]

“Die empty.”

[Naval @naval]

If they can train you to do it, they can train a machine to do it.

[@levelsio @levelsio]

Ask ChatGPT:

If you were the devil and wanted to keep an entire nation sick, what would you do?

[Asanka2020 @asanka2020]

@taylorotwell Sorry for your loss.

[Naval @naval]

The smartest people are all self-taught, even if they went to school.

[Naval @naval]

If you’re a high agency person, there’s never been a better time to be alive.

[Bryan Johnson @bryan_johnson]

My team and I created a food guide (v1). We based it on evidence, using the heuristic that every calorie must fight for its life.

What do you think?

[unusual_whales @unusual_whales]

BREAKING: Nvidia, $NVDA, announces Project Digits personal computer at $3000, that is approximately 1,000 times more powerful than the average laptop.

The device is powered by an Nvidia GB10 Grace Blackwell Superchip, which houses separate, linked components on a single chip to reduce the time it takes to move data between them.

The superchip features an Nvidia Blackwell graphics card and an Nvidia Grace processor, packaged with 128 gigabytes of memory and 4 terabytes of SSD storage.

[Deedy @deedydas]

If you're not using AI apps in 2025, you're at a huge disadvantage.

I've tried 100s of new apps this year, and here are the best 14 AI tools that actually stuck with me!

[Naval @naval]

You have one life. Don’t settle for mediocrity.

[Jane Martin @janemartinFHA]

A must watch.

A detailed analysis @DoctorChrisVT & @HenryDimbleby of how our food system undermines our health and what governments can to fix it.

Top policies:
- octagonal warning labels 🛑
- restricting unhealthy food marketing
- reformulation tax on sugar/salt

[Asanka2020 @asanka2020]

I registered for HN Tokyo Japan Meetup #106 https://t.co/6cPpYhJpV9 #hntokyo via @makeleaps_jp

[IFPRI @IFPRI]

🆕🗞️“The state of #FoodSystems worldwide in the countdown to 2030” @NatureFoodJnl co-authored by IFPRI's @D_E_Resnick, Quinn Marshall & Keith Wiebe.

Read #OpenAccess 👉 https://t.co/mc4DQOWVVG

#FoodSystemsCountdown #FSCI
@GAINalliance @FAO @columbiaclimate @CornellCALS @CGIAR

[Chamath Palihapitiya @chamath]

A Short History of OpenAI

On Friday, OpenAI ousted its co-founder Sam Altman as CEO. While OpenAI cites a lack of consistent candor in Altman’s dealings with the board as the key reason for his removal, there is widespread speculation about other motives behind his termination. These range from disputes concerning the profit vs nonprofit motives of the company to the discovery of artificial general intelligence, a type of AI that can surpass human intelligence for most tasks.

We wanted to look back at the history and corporate structure of OpenAI to understand how we got here. Here’s the story:

Inception and Early Strides (2015-2018)

OpenAI was initially founded in 2015 by Sam Altman, Elon Musk, Ilya Sutskever and Greg Brockman as a non-profit organization with the stated goal to “advance digital intelligence in the way that is most likely to benefit humanity as a whole.” The company assembled a team of the best researchers in the field of AI to pursue the goal of building AGI in a safe way.

The early years of OpenAI were marked with rapid experimentation. The company made significant progress on research in deep learning and reinforcement learning, and released ‘OpenAI Gym’ in 2016, a toolkit for developing and comparing reinforcement learning algorithms.

OpenAI showcased the capabilities of these reinforcement learning algorithms through its ‘OpenAI Five’ project in 2018, which trained five independent AI agents to play a complex multiplayer online battle arena game called ‘Dota 2’. Despite operating independently, these agents learned to work as a cohesive team to coordinate strategies within the game.

A crucial development occurred in June 2018. The company released a paper titled "Improving Language Understanding by Generative Pre-Training", which introduced the foundational architecture for the Generative Pre-trained Transformer model. This later evolved into ChatGPT, the company’s flagship product.

Transition From a Non-Profit (2019)

In 2019, OpenAI transitioned from a non-profit to a “capped-profit” model. According to the company’s blog post, OpenAI wanted to increase its ability to raise capital while still serving its mission, and “no pre-existing legal structure they knew of struck the right balance”. Per the IRS, for-profit entities and not-for-profit entities are fundamentally at odds with each other, so in order to combine the two competing concepts, OpenAI came up with a novel structure which allowed the non-profit to control the direction of a for-profit entity while providing the investors a "capped" upside of 100x. This culminated in a $1Bn investment from Microsoft, marking the beginning of a key strategic relationship, but complicating the company’s organizational structure and incentives.

The non-profit entity, OpenAI Inc., became the sole controlling shareholder of the new for-profit entity OpenAI Global LLC, which answered to the board of the nonprofit and retained a fiduciary responsibility to the company’s nonprofit charter. Crucially, the board was responsible for determining when OpenAI attained artificial general intelligence (AGI), which the company defines as a “highly autonomous system that outperforms humans at most economically valuable work.”

The structure of OpenAI is outlined below:

Becoming ChatGPT (2020-2023)

In 2020, bolstered by new funding, OpenAI unveiled GPT-3, a large language model (LLM) capable of understanding and generating convincing human-like text. This was a watershed moment for OpenAI and the broader AI community. As the company grew, its LLMs continued to become larger and more intelligent.

However, OpenAI's innovation didn't stop with language models. In 2021, the company expanded its horizons by launching Codex, a specialized AI model for programming, and DALL-E, an AI system adept at creating original artwork from text descriptions.

December 2022 marked another major milestone for OpenAI with the release of GPT-3, laying the groundwork for the consumer-focused application ‘Chat-GPT’. Chat-GPT rapidly captured global attention, becoming the fastest app to amass 100 million users within just two months of its launch. Capitalizing on this success, OpenAI introduced a subscription model and unveiled its most sophisticated model yet, GPT-4, ~10x more advanced than its predecessor and capable of analyzing text, images, and voice. Further developer tools and a turbocharged version of GPT-4 were announced at the company’s Developer Day on November 6th, 2023.

Removing Sam Altman (2023)

On Friday, OpenAI announced that it was removing its co-founder Sam Altman as CEO, citing a lack of consistent candor in his communications with the company’s board. According to the company's official statement, the board “no longer has confidence in Altman’s ability to continue leading OpenAI.”

OpenAI’s board of directors has undergone numerous changes since inception. Elon Musk resigned from his board seat in 2018, citing a “potential future conflict of interest” with Tesla’s AI development for driverless cars. Elon later expressed disappointment over the company’s for-profit motivations and dealings with Microsoft. Since Elon’s departure, a number of other board members have left the company, including former congressman Will Hurd who cited a Presidential bid, LinkedIn co-founder Reid Hoffman over an investment conflict, and Neuralink director Shivon Zilis.

The remaining board members who removed Altman are:

- Adam D’Angelo - CEO of Quora
- Tasha McCauley - Co-Founder of Fellow Robotics and adjunct senior management scientist at RAND Corporation
- Ilya Sutskever - Co-Founder and Chief Scientist of OpenAI
- Helen Toner - Director of Strategy and Foundational Research Grants at Georgetown University’s Center for Security and Emerging Technology

Altman’s removal as CEO prompted the resignation of President and Co-Founder Greg Brockman and three of the company’s senior scientists. Reports suggest that this may have been orchestrated by the company’s other Co-Founder and Chief Scientist Ilya Sutskever over concerns that Altman was pushing to commercialize the company too quickly. Sutskever was recruited to OpenAI from Google in 2015 by Elon Musk, who describes him as “the linchpin for OpenAI being successful”.

A tweet from Greg Brockman confirms that Ilya was a key figure in Altman’s removal.

https://t.co/x2KgdNi3VN

Since OpenAI’s for-profit entity was ultimately accountable to the charter of its non-profit parent, its rapid commercialization may have conflicted with the company’s primary goal of developing AGI in a safe way. According to their 2019 IRS filings, OpenAI does not have a written joint venture policy but the company’s structure explicitly prioritizes the purposes of its nonprofit entity over maximizing profits, preventing OpenAI from engaging in activities that would jeopardize the company's non-profit status.

As of this writing at 3pm PST on 11/19/2023, there are reports that the board is negotiating for Sam’s return, though it remains to be seen how OpenAI overcomes the challenges of its competing profit and nonprofit interests.

Conclusion:

While the details of Altman’s removal are still unfolding, it is becoming increasingly clear that OpenAI’s convoluted corporate structure led to conflicting motivations and incentives within the company. There is a key learning here. Whether you are a for-profit or non-profit entity, there are tried and true corporate structures to help you achieve your stated goal. Because just doing that is hard enough as it is. But once you decide what the goal is, you should work as hard as possible to achieve it; you should never compound unnecessary risk into this journey like iterating on corporate structure. While it can make a hero out of lawyers, it is one of these unnecessary risks that’s only blindingly obvious in the rear view mirror.

[Asanka2020 @asanka2020]

@cemkansu Great feature! Better at reminding me to take a lesson than the app icon! Currently on a 625 day streak...