science

Unanimous A.I.

Unanimous A.I. is a science topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Unanimous A.I. rather than just read about it. In short: Unanimous AI is an American technology company that pursues collective superintelligence by connecting networked human groups together at large scale using AI agents and other AI technologies. The company provides two AI technologies, artificial swarm intelligence (ASI) which was first presented publicly in 2015 and Hyperchat AI technology. that was first presented publicly in 2023.

Key takeaways

Unanimous A.I. belongs to science; place it in that map before memorising details.
Learn the definition first, then one example that makes the definition concrete.
Connect Unanimous A.I. to a quantity you can measure, compute or draw — that is where exam questions come from.
Reproduce the core statement of Unanimous A.I. from memory before moving on to harder problems.

Reference excerpt

Unanimous AI is an American technology company that pursues collective superintelligence by connecting networked human groups together at large scale using AI agents and other AI technologies. The company provides two AI technologies, artificial swarm intelligence (ASI) which was first presented publicly in 2015 and Hyperchat AI technology. that was first presented publicly in 2023. In 2015, Unanimous AI released a "human swarming" platform called "swarm.ai" (formally called UNU) that uses ASI technology to allow distributed groups of users to collectively predict answers to questions. This process has resulted in successful predictions of events such as the Kentucky Derby, the Oscars, the Stanley Cup, presidential elections, and the World Series. In 2016, Unanimous AI received national attention for its swarm-based artificial intelligence technology when a CBS Interactive reporter challenged the company to predict the first four finishers, in order, in the Kentucky Derby. Their prediction, reported by TechRepublic and Newsweek, was correct. The reporter's $20 bet on the prediction resulted in a payout of $11,000. In 2018, the firm collaborated with Stanford University School of Medicine to study using artificial swarming algorithms for diagnostics.

In 2020, the firm published an accurate forecast for the 2020 United States presidential election, including correct predictions for all 11 battleground states, and an accurate prediction of the baseball 2020 World Series Swarm has also been used by companies like Credit Suisse on predicting stock markets and Disney on predicting the success of films by tapping into collective intelligence. In 2024, the company introduced a collaboration platform called Thinkscape.ai that incorporates Hyperchat AI technology and supports real-time communication among teams of up to 250 participants through text, voice, or video conferencing.

References

Illustrations

Worked examples

Example 1 — a first encounter with Unanimous A.I.

Start with the simplest possible case. Write down what Unanimous A.I. claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In science, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Unanimous A.I. before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Unanimous A.I. ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Unanimous A.I.

In research: Unanimous A.I. appears in science research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry: Engineering practice reuses Unanimous A.I. in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom: Unanimous A.I. is common in secondary-school and first-year university syllabi. It links to neighbouring topics 2015 establishments in California, Artificial intelligence companies, Collective intelligence, so understanding it makes those chapters shorter.
In everyday life: Look for Unanimous A.I. outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

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How to study Unanimous A.I. in 20 minutes

Read the reference excerpt below once, without taking notes.
Close the page and write down what Unanimous A.I. means in your own words.
Compare your version with the excerpt and mark what you missed.
Work through the three examples above with pen and paper.
Explain Unanimous A.I. out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Unanimous A.I. in simple terms?

Why does Unanimous A.I. matter?

Because it connects several science ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Unanimous A.I.?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Unanimous A.I..