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TOPIC · ENTITY #622

generative AI

Related event timeline, sources and context from the news index.

EVENT TIMELINE

15

RESEARCH · 1 SOURCE · MIT News AI

MIT historian argues AI hallucinations stem from mid-20th-century randomization in early neural nets

Benjamin Lindquist (MIT) argues in a paper in Past and Present that early AI researchers intentionally injected randomness into algorithms and neural networks to mimic human creativity; he traces today’s generative-AI hallucinations to those mid-20th-century design choices and warns of inherent tradeoffs between creativity and predictability in systems that model human thought. In an interview with MIT News he contrasts early enthusiasm for occasional strangeness with modern efforts (e.g., by OpenAI and Anthropic) to suppress such behavior for safety and commercial reasons.

6.0

COMPANIES · 1 SOURCE · The Verge AI

Laika CEO Travis Knight says generative AI is 'antithetical' to the studio

Ahead of the October 23 Wildwood premiere, Laika CEO and director Travis Knight criticized generative AI as "antithetical" to the studio’s handcrafted stop‑motion approach, saying AI lacks the humanity and ‘‘soul’’ of human artists and calling some uses theft, while also acknowledging AI’s potential benefits outside the arts. Wildwood — a five‑year production featuring over 230 puppets and more than 1,000 contributing artists — is presented as a counterpoint to rapid generative‑AI workflows.

4.0

MONEY · 1 SOURCE · MIT Technology Review AI

WD/IDC white paper: AI inference is inflating storage needs and costs

A WD‑sponsored IDC white paper and WD internal measurements highlight that AI inference generates large persistent back-end data that dramatically increases storage footprints and operating costs—an 8‑second, 720p (3.97MB) clip produced roughly 500MB of associated backend data (≈130× the delivered file). McKinsey projects inference demand will grow at a 35% CAGR through 2030, IDC survey respondents (n=763) largely reported rising data volumes (≈95% saw increases; ≈61% saw ≥25% growth) and 96% expect faster archive retrieval will be needed for inference/RAG workflows.

6.0

RESEARCH · 1 SOURCE · Google

Google, Temasek and Bain report: generative AI used by 243M; Southeast Asia digital economy to hit $368B in 2026

The 11th e-Conomy SEA report from Google, Temasek and Bain & Company finds generative AI is now used daily by about 243 million people in Southeast Asia and projects the region's digital economy will grow 17% YoY to $368 billion in GMV in 2026, on track to exceed $1 trillion by 2035. The report forecasts a 60-fold rise in regional AI usage by 2030, highlights rising trust and demand for agentic commerce, and calls for tripling data center capacity, stricter model/energy efficiency, and unified regional governance (including ASEAN DEFA) to sustain growth.

7.0

RESEARCH · 1 SOURCE · MIT Technology Review AI

Stanford PhD student Samuel King used generative AI to propose virus genetic blueprints

MIT Technology Review published an interview with Samuel King about his 2025 project in which he used a generative AI model to propose genetic blueprints for microscopic viruses. The work produced preliminary designs but did not create living organisms, and the interview covers King's recognition as an Innovator Under 35 and the scientific and biosecurity implications.

7.0

COMPANIES · 2 SOURCES · TechCrunch AI · The Verge AI

YouTube adds 'Made with AI' label to tracks on YouTube Music

YouTube is rolling out a “Made with AI” label in the YouTube Music app to mark tracks that were “altered or fully generated” using generative AI, with the label set to expand to the main YouTube app later. YouTube’s partner rules require creators to disclose generative-AI use and say the platform may rely on “other signals” to identify AI-generated songs if no disclosure is provided; users can tap the label on the player page for more details.

7.0

COMPANIES · 1 SOURCE · The Verge AI

Nikon disqualifies Small World in Motion winner after AI-assisted post‑processing admission

Nikon says the original first‑place video in its Small World in Motion contest was disqualified for violating rules on generative AI after Dr. Ning Xu admitted using an unsupervised neural‑network method for AI‑assisted post‑processing; the entry was removed and Nguyen Nam Nhat is now listed as first place. Nikon also said it will revisit competition rules and evaluation procedures for future entries.

6.0

COMPANIES · 1 SOURCE · MIT Technology Review AI

MIT Technology Review Insights urges 'agentic shift' to scale enterprise AI

A sponsored report from MIT Technology Review Insights argues enterprises must move from treating AI as a tool to adopting an 'agentic shift' — an operating model that links people, processes, and data in real time. The piece recommends rebuilding data infrastructure for accessibility, adopting composable architectures, and ensuring data/model sovereignty, and notes fragmentation in enterprise systems and a projected $2.5 trillion in global AI investment by 2026.

6.0

COMPANIES · 1 SOURCE · The Verge AI

Splice CEO Kakul Srivastava says AI-written emails are damaging conversations

In a Verge profile, Splice CEO Kakul Srivastava says AI-written documents and 'push-button' generative-music tools risk changing — and worsening — workplace conversations and creative dialogue. She says Splice is trying to offer AI features that keep humans central (the company has also expanded via the Spitfire Audio acquisition) and has been outspoken against turnkey music-AI like Suno.

3.0

COMPANIES · 1 SOURCE · AWS Machine Learning

Amazon Payments deploys LinUCB contextual bandit on Amazon SageMaker AI to personalize acquisition funnel

Amazon Payments implemented a multi-objective contextual multi-armed bandit (LinUCB) on Amazon SageMaker AI to personalize content across a three-step acquisition funnel. In a seven-week online A/B test they report a high single-digit percentage relative lift in final-funnel conversion for one customer population while another saw no improvement; the team published the AWS architecture, method details, and a code repository for experimentation on synthetic data.

6.0

OTHER · 1 SOURCE · The Verge AI

Generative AI is amplifying cybersecurity risks to energy utilities, experts say

Security experts warn that generative AI acts as a force multiplier—making it easier and faster for malicious actors to plan and chain cyberattacks against aging, internet-exposed energy infrastructure. Utilities face systemic challenges (old OT equipment, slow patch cycles, limited staffing) that leave them less able to match AI-empowered adversaries.

6.0

RESEARCH · 1 SOURCE · Google

U.S. Future Report (with RXN Group) finds most U.S. teens use generative AI as study partners

The U.S. Future Report, produced with RXN Group and based on surveys of over 1,000 U.S. teens (13–17), finds 94% used AI in the past year and 74% use it weekly or more, mainly as an interactive study partner and creative tool; 74% say AI helped them discover new interests. Teens report multi-step strategies to verify AI outputs, 64% want digital literacy education by fifth grade while only 57% say their school offers such classes, and 67% trust family most for guidance on online safety.

6.0

COMPANIES · 1 SOURCE · NVIDIA Developer

NVIDIA’s Spectrum-X Ethernet: Rewriting Data Center Networking for Giga-Scale AI

An NVIDIA Developer article says the explosive growth of generative AI and distributed model training across hundreds of thousands of GPUs is fundamentally changing data center design, and introduces Spectrum‑X Ethernet as a networking approach aimed at meeting those new requirements.

7.0