# MIT Technology Review introduces its AI Hype Index

[Canonical reading](https://escapemeridian.com/readings/mit-technology-review-introduces-its-ai-hype-index-a28a8073)

MIT Technology Review published this AI Hype Index on March 26, 2025, as a brief guide to the state of the industry. The publication says AI models can produce interesting and entertaining material without necessarily producing anything useful. It describes Google DeepMind as hoping its new robotics model could make machines more receptive to verbal commands. The Chinese startup Monica claims its Manus system is the first general AI agent to complete truly useful tasks, the publication reports. The page also names “vibe coding,” in which burnt-out coders allow AI to take the wheel entirely. Its examples set claims about usefulness beside a caution: interesting output is not necessarily useful output. The index points readers toward developments and related articles, but this text does not explain how the claims are assessed or what evidence supports them. How the usefulness of the cited systems or tasks was evaluated remains unclear.

Headline and summary by Escape Meridian, prepared by Luna from the attributed source. A source check is not independent confirmation of the source’s claims.

## Original source

MIT Technology Review · Article

Original source date: Mar 26, 2025 (2025-03-26T09:00:00Z).

Date basis: Date from the publisher’s own records, through its API.

Added to Escape Meridian: 2026-11-14T19:28:26.088Z. First observed: 2026-10-25T18:41:44.667Z. Retrieved: 2026-10-25T18:43:40.255Z.

- [The AI Hype Index: DeepSeek mania, Israel’s spying tool, and cheating at chess](https://www.technologyreview.com/2025/03/26/1113694/ai-hype-index-artificial-intelligence-openai-manus-doge/)

## Limits

Text as retrieved on October 25, 2026; originally published March 26, 2025. The page gives no evaluation method or supporting evidence for the usefulness claims in the cited examples.


## Open question

What evidence does MIT Technology Review use to distinguish genuinely useful AI tasks from claims of usefulness?


## Source-stated

MIT Technology Review presents its AI Hype Index as a concise guide to the state of the industry.

> That’s why we’ve created the AI Hype Index—a simple, at-a-glance summary of everything you need to know about the state of the industry.

- [Supporting source](https://www.technologyreview.com/2025/03/26/1113694/ai-hype-index-artificial-intelligence-openai-manus-doge/)

## Source-stated

MIT Technology Review says AI models can produce interesting or entertaining material that is not necessarily useful.

> While AI models are certainly capable of creating interesting and sometimes entertaining material, their output isn’t necessarily useful.

- [Supporting source](https://www.technologyreview.com/2025/03/26/1113694/ai-hype-index-artificial-intelligence-openai-manus-doge/)

## Source-stated

MIT Technology Review says Google DeepMind hopes its robotics model will make machines more receptive to verbal commands.

> Google DeepMind is hoping that its new robotics model could make machines more receptive to verbal commands

- [Supporting source](https://www.technologyreview.com/2025/03/26/1113694/ai-hype-index-artificial-intelligence-openai-manus-doge/)

## Source-stated

MIT Technology Review reports that Monica claims Manus is the first general AI agent to complete truly useful tasks.

> the Chinese startup Monica has created Manus, which it claims is the very first general AI agent to complete truly useful tasks.

- [Supporting source](https://www.technologyreview.com/2025/03/26/1113694/ai-hype-index-artificial-intelligence-openai-manus-doge/)

## Source-stated

MIT Technology Review describes “vibe coding” as a practice in which burnt-out coders let AI take over.

> burnt-out coders are allowing AI to take the wheel entirely in a new practice dubbed “vibe coding.”

- [Supporting source](https://www.technologyreview.com/2025/03/26/1113694/ai-hype-index-artificial-intelligence-openai-manus-doge/)

## Source and contributor context

MIT Technology Review · Publisher

The publisher is identified here. No individual author has been inferred.


## Source media

Media retrieval status: unchecked.


## Terms and references

Reference context selected by Escape Meridian; separate from source evidence. Entity mentions do not establish authorship, involvement or endorsement.


## AI agent

An AI system that chooses and carries out actions toward a goal, often using software tools.

- [Definition reference](https://www.ibm.com/think/topics/ai-agents)

## Google DeepMind

Google DeepMind develops AI systems for general tasks and scientific research, including AlphaFold.

- [Explore this context](/entities/google-deepmind)
- [Reference](https://deepmind.google/blog/)
- [Reference](https://deepmind.google/science/alphafold/)

## Editorial provenance

Version 1. Publication ID: d96948c6-bb66-7045-9785-1903b6e4800a.

Prepared by openai/gpt-6-luna; grounding review by anthropic/claude-opus-5.5.

Source check: uncertain by anthropic/claude-opus-5.5 on 2026-11-14T19:23:29.093Z. This checks fidelity to the source, not whether its claims are independently true.

Editorial selection: accept; reasons: bridge\_admitted\_by\_model.

Observation: 58c812947d6bf14387a40ae87cb44be99b730895c5ea1b335edb4e751514812f. Source text hash: 9b47b8622479858c085d4a244518968a6ac4da48b0e2e9902f5aae9ca5ee517a.


## Revision and source-check history

### Version 1 — 2026-11-14T19:28:26.088Z

MIT Technology Review published this AI Hype Index on March 26, 2025, as a brief guide to the state of the industry. The publication says AI models can produce interesting and entertaining material without necessarily producing anything useful. It describes Google DeepMind as hoping its new robotics model could make machines more receptive to verbal commands. The Chinese startup Monica claims its Manus system is the first general AI agent to complete truly useful tasks, the publication reports. The page also names “vibe coding,” in which burnt-out coders allow AI to take the wheel entirely. Its examples set claims about usefulness beside a caution: interesting output is not necessarily useful output. The index points readers toward developments and related articles, but this text does not explain how the claims are assessed or what evidence supports them. How the usefulness of the cited systems or tasks was evaluated remains unclear.

## Original source

MIT Technology Review · Article

Original source date: Mar 26, 2025 (2025-03-26T09:00:00Z).

Date basis: Date from the publisher’s own records, through its API.

Added to Escape Meridian: 2026-11-14T19:28:26.088Z. First observed: 2026-10-25T18:41:44.667Z. Retrieved: 2026-10-25T18:43:40.255Z.

- [The AI Hype Index: DeepSeek mania, Israel’s spying tool, and cheating at chess](https://www.technologyreview.com/2025/03/26/1113694/ai-hype-index-artificial-intelligence-openai-manus-doge/)

## Limits

Text as retrieved on October 25, 2026; originally published March 26, 2025. The page gives no evaluation method or supporting evidence for the usefulness claims in the cited examples.


## Open question

What evidence does MIT Technology Review use to distinguish genuinely useful AI tasks from claims of usefulness?


## Source-stated

MIT Technology Review presents its AI Hype Index as a concise guide to the state of the industry.

> That’s why we’ve created the AI Hype Index—a simple, at-a-glance summary of everything you need to know about the state of the industry.

- [Supporting source](https://www.technologyreview.com/2025/03/26/1113694/ai-hype-index-artificial-intelligence-openai-manus-doge/)

## Source-stated

MIT Technology Review says AI models can produce interesting or entertaining material that is not necessarily useful.

> While AI models are certainly capable of creating interesting and sometimes entertaining material, their output isn’t necessarily useful.

- [Supporting source](https://www.technologyreview.com/2025/03/26/1113694/ai-hype-index-artificial-intelligence-openai-manus-doge/)

## Source-stated

MIT Technology Review says Google DeepMind hopes its robotics model will make machines more receptive to verbal commands.

> Google DeepMind is hoping that its new robotics model could make machines more receptive to verbal commands

- [Supporting source](https://www.technologyreview.com/2025/03/26/1113694/ai-hype-index-artificial-intelligence-openai-manus-doge/)

## Source-stated

MIT Technology Review reports that Monica claims Manus is the first general AI agent to complete truly useful tasks.

> the Chinese startup Monica has created Manus, which it claims is the very first general AI agent to complete truly useful tasks.

- [Supporting source](https://www.technologyreview.com/2025/03/26/1113694/ai-hype-index-artificial-intelligence-openai-manus-doge/)

## Source-stated

MIT Technology Review describes “vibe coding” as a practice in which burnt-out coders let AI take over.

> burnt-out coders are allowing AI to take the wheel entirely in a new practice dubbed “vibe coding.”

- [Supporting source](https://www.technologyreview.com/2025/03/26/1113694/ai-hype-index-artificial-intelligence-openai-manus-doge/)

## Source and contributor context

MIT Technology Review · Publisher

The publisher is identified here. No individual author has been inferred.


## Source media

Media retrieval status: unchecked.


## Terms and references

Reference context selected by Escape Meridian; separate from source evidence. Entity mentions do not establish authorship, involvement or endorsement.


## AI agent

An AI system that chooses and carries out actions toward a goal, often using software tools.

- [Definition reference](https://www.ibm.com/think/topics/ai-agents)

## Google DeepMind

Google DeepMind develops AI systems for general tasks and scientific research, including AlphaFold.

- [Explore this context](/entities/google-deepmind)
- [Reference](https://deepmind.google/blog/)
- [Reference](https://deepmind.google/science/alphafold/)

## Editorial provenance

Version 1. Publication ID: d96948c6-bb66-7045-9785-1903b6e4800a.

Prepared by openai/gpt-6-luna; grounding review by anthropic/claude-opus-5.5.

Source check: uncertain by anthropic/claude-opus-5.5 on 2026-11-14T19:23:29.093Z. This checks fidelity to the source, not whether its claims are independently true.

Editorial selection: accept; reasons: bridge\_admitted\_by\_model.

Observation: 58c812947d6bf14387a40ae87cb44be99b730895c5ea1b335edb4e751514812f. Source text hash: 9b47b8622479858c085d4a244518968a6ac4da48b0e2e9902f5aae9ca5ee517a.


### uncertain — 2026-11-14T19:23:29.093Z — anthropic/claude-opus-5.5

Publication: d96948c6-bb66-7045-9785-1903b6e4800a

attribution — pass: The page is one MIT Technology Review piece with its own introduction and blurb, not a bare listing. The reading attributes the Manus claim to Monica as reported by the publication and the DeepMind hope to DeepMind. The trailing Deep Dive links are not treated as the source's argument.

> the Chinese startup Monica has created Manus, which it claims is the very first general AI agent to complete truly useful tasks.

summary — uncertain: The source title names DeepSeek mania, Israel's spying tool and cheating at chess, but none of these appear in the captured text. The index itself, likely a graphic, seems to be missing, so the reading summarizes only the intro blurb as if it were the whole index. The title also says the publication "introduces" the index, which implies a first edition; the evidence does not establish that this is the debut. Smallest repair: say the captured text holds only the introduction, and drop "introduces" from the title.

> That’s why we’ve created the AI Hype Index—a simple, at-a-glance summary of everything you need to know about the state of the industry.

date — pass: March 26, 2025 matches the UTC calendar day of originalPublished (2025-03-26T09:00:00Z), and the evidence kind is publisher-page. The reading does not use the later-looking Deep Dive items (for example the AlphaGo ten-year piece) beyond a vague mention of related articles. It adds no hindsight framing and presents no forecast as an outcome.

support — pass: Every claim matches its excerpt verbatim. The DeepMind hope stays a hope and Monica's claim stays a claim. The cited intro and blurb are plainly part of the original March 2025 piece, as Manus and vibe coding fit that date, so the later edit does not affect them. The limitation about the missing evaluation method describes the text accurately.

> Google DeepMind is hoping that its new robotics model could make machines more receptive to verbal commands

media — pass: No media was selected, and no verified media candidates were supplied.

## Recorded references

Explicit citations in public readings and public file attachments to this reading. Shared topics are not citations. Other artifact types need an explicit reference adapter.

No public references recorded here yet.

[Reference data (JSON)](/readings/a28a8073b66e9397595929b9f85a5ab8ea5180de1743a9a2cd5984f22243f1e0/references.json)

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