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- Inside OpenAI's remarkable journey to shape the future of AI
Inside OpenAI's remarkable journey to shape the future of AI
Plus: 8 AI game-changers for Excel

Welcome to The Dispatch! We are the newsletter that keeps you informed about AI. Each weekday, we scour the web to aggregate the many stories related to artificial intelligence; we pass along the news, useful resources, tools or services, technical analysis and exciting developments in open source. Even if you aren’t an engineer, we’ll keep you in touch with what’s going on under the hood in AI.
Good morning. Today in AI:
WIRED profiles OpenAI
Could AI give hearing aids ‘superpowers’?
Delphi wants to help you clone anyone - living or dead - using AI
The Department of Energy funds MIT’s use of AI to fast-track fusion energy
HuggingFace announces Training Cluster as a service
A helpful tutorial for Excel’s new AI-powered features & more
From WIRED (may be paywalled): This expansive profile (written by Steven Levy, who has covered the company in depth from their inception) chronicles the remarkable eight-year journey of OpenAI from a struggling nonprofit research lab to a world-changing AI powerhouse. It follows the arcs of visionary characters like Sam Altman, Ilya Sutskever, and the mostly-unknown Alec Radford as they pursue the audacious goal of developing safe artificial general intelligence (AGI).
More details:
OpenAI floundered initially with unclear direction until Alec Radford's breakthrough on a dataset of Amazon reviews put them on a path to match bigger tech rivals.
After losing Elon Musk's financial backing, OpenAI made controversial moves like creating a for-profit arm and partnering with Microsoft to gain resources needed to fulfill their mission.
The release of ChatGPT took OpenAI from niche player to centerstage, forcing society to grapple with implications of powerful AI. OpenAI itself has since transformed into a sort of tech unicorn, with nonprofit roots that still fuel the vision but an army of employees on the for-profit ledger.
OpenAI makes an intense effort to get ahead of policymakers and frame the public discussion about AI safety. This creates a conflict of interest between development and safety - but Altman has typically charmed key legislators.
Takeaways: It’s hard not to attribute ChatGPT’s surprise emergence mainly to a 10-year-old, nerdy Samuel Harris Altman refusing to let go of a dream to see “a computer that thinks”. His dogged pursuit of that vision (even when many of his peers viewed language models as nothing more than novelties from 2015-2020) led him to the right mix of people for the job, and an unexpected breakthrough provided enough of a spark to light an AI wildfire that has since taken the world by storm.
Looking past the article, OpenAI is currently on a mission (led by Sutskever and Jan Leicke, formerly of Google DeepMind) towards superalignment - the idea that we can keep AI systems that will soon become much more intelligent than us under human control. They are currently devoting 20% of their overall computing power to this project, with the hope that creating a “super researcher” AI will bolster the effort in a way no human(s) could.
If you want to learn more about superalignment, we recommend listening to Leicke himself on the subject. Is their mission crazy, improbable? Jan talks about that. Hopefully his take helps you draw your own conclusions.
Either way, it’s been a wild ride for OpenAI already.
![]() | The launch of Chinese tech giant Huawei's new smartphone containing an advanced domestically-produced chip is raising questions about the efficacy of US export restrictions on Chinese technology. While details are still emerging, experts say the implications depend on how China acquired the capability to produce such advanced chips. |
If the chip was either stockpiled or made with smuggled foreign equipment, it suggests the need to tighten export controls. However, if China rapidly innovated the manufacturing process itself, it would indicate the policy has backfired by spurring unwanted tech advancement. A key metric is the manufacturing yield - if low, it's just an expensive demonstration rather than scalable production. Until more evidence appears, the new chip may not represent a major setback to US restrictions intended to thwart China's tech ambitions.
Artificial intelligence is bringing hearing aids into the future with advanced capabilities that appeal even to younger users (1 in 7 teenagers experience hearing loss, usually due to earpods). Hearing loss affects millions, yet stigma deters many from seeking help early. Now, AI is making hearing aids cool and capable. |
Minnesota-based company Starkey's Genesis AI hearing aids can make what you hear crisper, but they can also serve as a personal assistant. You can use them as a phone, or listen to music, or even to translate languages. There's an accidental fall detection feature - if somebody falls, it'll text up to three people.
You can now make an AI clone of yourself - or anyone else, living or dead - with Delphi
Qualcomm focuses on AI and auto as Nvidia takes over as world’s biggest fabless chip company
Intuit launches generative AI–powered digital assistant for small businesses and consumers
Oregon Attorney General Rosenblum asks Congress to protect children from artificial intelligence
(More on yesterday’s Zoom update) Zoom rebrands existing - and intros new - generative AI features
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Researchers at Ames National Laboratory have developed a new AI model to predict the Curie temperature of potential new permanent magnet materials without critical elements like cobalt and rare earths. The researchers tested the model on cerium, zirconium, and iron compounds (which contain many elements) - and the model successfully predicted the Curie temperatures. |
Sustainable magnets are important because they reduce the dependency on materials like cobalt and rare earth elements, which are often linked to environmental degradation and unethical mining practices (in addition to being limited in supply and subject to geopolitical risks). Magnets are used in technologies from wind turbines and electric vehicles to refrigerators and hard drives.
MIT's Plasma Science and Fusion Center has received a Department of Energy grant to use artificial intelligence to speed up the development of fusion energy. The initiative aims to create a unified, AI-readable data platform that will centralize information from fusion experiments, breaking down existing data silos that have slowed progress. |
Fusion energy, the process that powers the sun, has been touted as the Holy Grail of clean energy for decades. Unlike fission, which splits atoms and produces long-lasting radioactive waste, fusion combines atoms under high temperature and pressure to create energy with minimal environmental impact.
Making fusion a practical energy source has been a scientific and engineering challenge for decades and previous estimates put the earliest arrivals of fusion energy around 2050 - but 2023 has already been a big breakthrough year for fusion power.
Hugging Face presents Training Cluster as a service
(Open source) Open Interpreter allows LLMs to run code locally. Summarize PDFs, visualize datasets, etc.
VMware’s dev-centered approach to pre-trained models and generative AI
Introducing LangChain Hub - a place to publish, discover, and try out prompts

Trending AI Tools & Services:
Perplexity: just released an iPhone app (we use Perplexity every day - it can help you find just about anything on the internet)
MealPractice: effortless meal planning with AI-generated recipes
SHELL2: an API-first, interactive platform designed to facilitate AI automations
Plutis: on-demand mental healthcare with AI-based coaching tailored to your needs
AudioNotes: convert your random voice notes and unstructured text notes into structured text summaries using AI
SATLAS from the Allen Institute for AI: open geospatial data generated by AI
Guides/useful/lists/fun:
(YouTube) Excel: 8 AI Game-Changers!
Transform ChatGPT into AutoGPT using a single prompt
5 lessons from 139 Y-Combinator AI startups
(YouTube) 9 AI tools you will ACTUALLY use
Midjourney: a simple method to fine-tune your inpainting
Social media/video/podcast:
You can't spell Zapier without API [Podcast]
(Discussion) “AI took my job, literally”—Gizmodo fires Spanish staff amid switch to AI translator [Reddit]
Google & Nvidia AI Announcements - Cloud Next 2023 Supercut [YouTube]
(Meta research) Information on Code Llama training, evaluation results, safety and more [X]
Wow, NVIDIA’s rendering, but 10X faster! [YouTube]
Did you know?
On Wednesday, the Pentagon announced a new initiative called Replicator that aims to rapidly develop and field thousands of autonomous weapons systems powered by artificial intelligence across all military domains. Replicator seeks to accelerate the Pentagon's adoption of AI and autonomous technologies to gain an advantage over strategic competitors like China. The initiative will leverage existing programs and funding to produce many small, smart systems including autonomous aircraft and drones.
Deputy Secretary of Defense Kathleen Hicks stated that autonomous systems can help deter aggression from larger adversaries, reduce risk to personnel, and be upgraded quickly to match evolving threats. While acknowledging ethical concerns, Hicks asserted that the military will maintain human control over the use of force. She characterized Replicator as an ambitious shift towards autonomous capabilities that are harder to defeat.
Back in 2015, when we were recruiting, it was almost considered a career killer for an AI researcher to say that you took AGI seriously. But I wanted people who took it seriously.