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- Less AI 'thinking' results in better output, lower costs
Less AI 'thinking' results in better output, lower costs
PLUS: AI-manipulated paraglider video, Meeker on AI's unprecedented pace, and an AI test for cancer drugs
Good morning, AI enthusiast.
A surprising discovery from Meta AI suggests a new direction for AI development: less 'thinking' can actually lead to superior results. Their research indicates that shorter reasoning processes can significantly boost AI accuracy and substantially lower computational expenses.
This counterintuitive finding, detailed in their study 'Don’t Overthink it,' introduces a method that could redefine how we approach AI efficiency. Could this shift towards briefer, parallel computations become the new standard for building more effective and economical AI systems?
In today’s AI recap:
Meta AI's research on efficient reasoning
AI-manipulated paraglider video fools media
New AI training video (watch here)
Mary Meeker on AI’s unprecedented growth
AI test identifies best cancer drug candidates
Meta AI: Less 'Thinking' Boosts Performance

The Recap: New research from Meta AI and The Hebrew University of Jerusalem reveals a surprising path to better AI: shorter reasoning processes. This counterintuitive approach improves accuracy by up to 34.5% and can reduce computational costs by as much as 40%.
Unpacked:
Researchers from Meta's FAIR team found that shorter reasoning chains are significantly more likely to yield correct answers, often up to 34.5% more accurate than longer ones for the same task.
This joint effort with The Hebrew University produced "short-m@k," a novel method that runs multiple brief reasoning attempts in parallel, cutting compute costs by up to 40%.
The study, aptly titled "Don’t Overthink it," also showed that training AI models on shorter reasoning examples actually improves their overall performance, challenging existing training paradigms.
Bottom line: This discovery offers a significant opportunity for organizations to make AI systems more efficient and cost-effective. It signals a potential shift in AI development, emphasizing that smarter, not just bigger, computational strategies can lead to superior results.
Viral Paraglider Video: AI Deception Fooled Global Media

The Recap: A stunning viral video of a Chinese paraglider's high-altitude emergency captivated millions, but analysis quickly revealed key scenes were AI-generated, leading media outlets to retract or update their initial reports.
Unpacked:
The video, showing paraglider Peng Yujiang apparently encased in ice, spread rapidly, with many prominent news organizations initially sharing the footage as authentic.
Telltale signs of AI manipulation included inconsistent equipment, impossible camera movements, and reports of a cropped AI tool logo; even a leading paragliding magazine acknowledged the AI-generated elements after initial publication.
Several media giants, including CNN who updated its story, BBC, and NBC, issued corrections or removed the manipulated video as its authenticity came under fire.
Bottom line: This incident starkly highlights the increasing sophistication of AI-generated content and the urgent challenge it poses to media authenticity. It underscores the critical need for advanced detection methods and heightened digital literacy as AI’s capabilities continue to accelerate.
AI Training
The Recap: In this video, we walk through how to use HeyGen and Eleven Labs to create an AI Avatar clone of yourself. Use this avatar to scale your short form video content on TikTok, YouTube shorts, and Instagram Reels.
Meeker: AI's Pace 'Unprecedented'

The Recap: Influential venture capitalist Mary Meeker's latest report, "Trends — Artificial Intelligence," highlights that AI's development, adoption, and investment are surging at a truly unprecedented rate, outpacing all prior tech waves.
Unpacked:
Meeker's analysis shows AI adoption, exemplified by ChatGPT reaching 800 million users in just 17 months, is faster than any previous technological revolution.
While training large AI models remains costly (up to $1 billion), the expense for using AI (inference costs) has dramatically decreased, dropping 99% over two years per million tokens, according to Stanford research.
The competitive landscape is white-hot, with companies rapidly matching features—often at lower costs and including open-source alternatives—accelerating innovation even further.
Bottom line: This rapid evolution signals immense opportunities and necessitates constant adaptation for professionals in the tech space. However, the long-term financial profitability for many current AI companies is still an unfolding story.
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AI Pinpoints Prostate Cancer Patients for Targeted Drug Therapy

The Recap: Artera's new AI test precisely identifies which prostate cancer patients are most likely to benefit from the life-extending drug abiraterone. This breakthrough, presented at ASCO, paves the way for more personalized and effective cancer treatment.
Unpacked:
The ArteraAI Prostate Test analyzes digital images of tumor biopsies, detecting subtle patterns invisible to the human eye to predict treatment response.
Validated within the extensive STAMPEDE trial, the AI helps determine if adding androgen receptor pathway inhibitors (ARPIs) like abiraterone to standard therapy will be truly beneficial.
For biomarker-positive patients identified by the AI, adding abiraterone nearly halved the 5-year risk of death from prostate cancer, dropping from 17% to 9%.
Bottom line: This AI tool empowers clinicians to make more informed treatment decisions, moving cancer care closer to truly individualized therapy. By identifying optimal candidates for specific drugs, it promises to improve patient outcomes and potentially reduce healthcare costs by avoiding ineffective treatments.
The Shortlist
OpenAI announced its $5B plan to acquire io
, the hardware startup from Sam Altman and Jony Ive, signaling a major push to create new consumer devices for the AI era.
Researchers argue in a paper from Arizona State University that current AI "chain-of-thought" processes aren't human-like reasoning but statistically generated text lacking true semantic understanding.
NOTUS exposed likely AI-generated content and significant errors in Health Secretary RFK Jr.'s "Make America Healthy Again" report, including chatbot markers and non-existent studies.
Google is automatically generating AI summaries for longer email threads in the Gmail mobile app for Workspace users, with Gemini-powered highlights appearing above messages.
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David, Lucas, Mitchell — The Recap editorial team