Zanspark AI Daily Briefing | Sep-26-2026 | AI Tech & Business News 特色图

Zanspark AI Daily Briefing | Sep-26-2026 | AI Tech & Business News

Boom Supersonic CEO Blake Scholl said its new stationary power plants were no longer in Crusoe's near-term plans.

AI Flash News(2026-09-25)

Daily updated AI industry latest developments, application innovations, and cross-border marketing trends — helping you quickly grasp important news and key signals worth noting.

AI Industry Hot News

Crusoe abandons $1.25B plan to use Boom turbines at AI data centers

Boom Supersonic CEO Blake Scholl said its new stationary power plants were no longer in Crusoe's near-term plans.source:TechCrunch

Anthropic to pay Akamai $11.6 billion over seven years in cloud deal

Anthropic has committed $11.6 billion over seven years to Akamai's cloud infrastructure, a bet on CPUs that could grow to about $20 billion, and in an unusual arrangement, Akamai is giving Anthropic a potential stake of up to 5% of its stock that grows as Anthropic spends more.source:TechCrunch

The Pentagon wants $30 million to build an AI

The US government wants to spend $30.3 million over the next five years on an improved form of lie detector, according to a Department of Defense budget request. The program, called Polygraph+ or Polygraph Next, will focus on scoring algorithms that use artificial intelligence and machine learning and on a technique called "standoff sensing," which…source:MIT Technology Review

Partnering with Accenture on embedded evaluation \ Anthropic

Announcements Partnering with Accenture on embedded evaluation Sep 18, 2026 We're partnering with Accenture on independent evaluation of frontier AI. This is an important step toward the commitment, made in our CEO's essay "We Must Pace the Frontier," to embed evaluators within Anthropic. The partnership will be led by Faculty, Accenture's specialist AI business, and will include evaluating and red-teaming models, conducting alignment assessments, and testing model safeguards. Accenture helps businesses and governments deploy AI across many industries. Their understanding of how enterprises use AI in practice informs their safety approach, and they will bring that perspective to evaluating our models. Anthropic and Accenture each expect to invest at least $1 billion in building capacity in this area over thesource:Anthropic

AI Innovation & Applications

Unsecured OpenAI agents posted 53 user images on the internet without the lab's knowledge

AI agents operating in OpenAI's research environment posted user images on public image-hosting sites without the lab's knowledge.source:TechCrunch

Meta opens early access program for new Muse features

Anyone interested in joining has to ask Muse to put them on the list.source:TechCrunch

Proaction boosts sales 60% and saves 75+ hours with Codex

With Codex, GPT-Live-1, and GPT-6 Astra, Proaction builds, operates, and sells modern fleet management faster.source:OpenAI

Mark Wahlberg is coming to TechCrunch Disrupt 2026, and he wants to talk about your work, not his

Mark Wahlberg joins Bruce K. Lee at Disrupt to discuss investing, entrepreneurship, healthcare, wellness, and building businesses.source:TechCrunch

Meta makes the Muse filesystem even more accessible

Yesterday, with a little prodding, it was discovered that Meta's Muse would expose its filesystem to curious users. The files offered a fascinating peek under the hood of an AI chatbot, and appeared to expose details we weren't meant to see, not least because Muse itself told people, including us, it wasn't supposed to reveal […]source:The Verge

Sony and UMG are suing Suno again

Sony and Universal Music Group filed yet another suit against Suno. The labels claim its new v6 model still infringes on their copyrights because it's trained on user outputs from previous models, which were themselves trained on unlicensed music ripped from YouTube and other sources. Sony and UMG are notable holdouts who did not sign […]source:The Verge

One company is at the center of a wave of rogue AI attacks

In July, OpenAI revealed that its AI agents had attacked Hugging Face without permission, sparking widespread concerns about AI safety. Since then, a string of similar incidents involving agents from Meta, Anthropic, Google, and other companies has fueled further fears about rogue AI. As disclosures implicating numerous AI models trickled out over the past few […]source:The Verge

Can Apple Home's AI camera features outsmart Amazon's and Google's? I put them to the test

A few years back, I was at a beachside Easter egg hunt, watching my kids dash through sand dunes searching for sweet treats. My phone buzzed in my pocket; I ignored it. A moment later, it buzzed again. I pulled it out, glanced down, and saw a "motion detected" notification from my security camera. "Just […]source:The Verge

Microsoft thinks its new Copilot 'super app' will be as influential as Office

After teasing its new Copilot "super app" last month, Microsoft is officially unveiling it today. The redesigned Copilot app bundles three AI capabilities into a single interface of chat, coding, and agents. As part of the launch, Microsoft is also rebranding Scout, the AI personal assistant it unveiled at Build earlier this year, as Autopilot. […]source:The Verge

When Should Forecasting Agents Reason? Behavioral Stress Tests for Reliability Routing

arXiv:2609.28475v1 Announce Type: new Abstract: Forecasting agents increasingly combine language-model reasoning, retrieval, ensembling, and calibration, but it remains unclear when each behavior should be trusted. We study this question on ForecastBench-style binary forecasting tasks, treating the choice to retrieve, reason, defer to a market prior, or use a historical analog as an observable agent behavior rather than a hidden implementation detail. Our central finding is that mechanism choice is source-dependent: structured analogs dominate for some data-generating processes, while market/crowd-style and conservative baselines are better for others. We introduce ReliabilityRoute, a structural intervention that steers forecasting-agent behavior using reliability features such as historical coverage, market-prior availability, source-prior sharpness, evidence strength, evidence disagreement, and horizon. A fixed 2024-fitted rule closely matches asource:arXiv

TW3Cast: A Frozen Router of Lightly Fine

arXiv:2609.28506v1 Announce Type: new Abstract: TW3Cast is a time-series forecasting system that reaches position 3 of 130 entries on the GIFT-Eval benchmark by mean MASE rank, as of 2026-09-14. The two entries above it belong to the leaderboard's agentic category, multi-step systems that use agents or language models to reason about, generate or select forecasts. TW3Cast runs no agent and no language model. Its selection is a table computed once on the training split and then frozen, and its experts are public foundation models lightly fine-tuned on those training splits. For each of the 97 dataset, frequency and horizon configurations, the table serves one of four modes: a specialist, which is a LoRA or full fine-tune of Chronos-2, TiRex orsource:arXiv

PAWS: Policy

arXiv:2609.28547v1 Announce Type: new Abstract: Policy interventions propagate through public communication, institutional decisions, and stakeholder responses, yet datasets for financial multi-agent simulation rarely connect these processes to temporally aligned historical evidence. We introduce PAWS, a Policy-driven Agentic World Simulation dataset covering 36 verified U.S. financial and economic policy episodes, 12,727 policy-linked news records, and 65,291 source-grounded stakeholder actions. Each action is linked to its supporting news and represented by a multi-layer event frame capturing its interaction mode, financial-action family and subtype, semantic attributes, and conditional mappings to external taxonomies. Entities are resolved to normalized organizations, and actions are aligned with daily market-return context to support policy-agent simulation replay. On 2,522 stratified action samples, independent AI and human reviewers achieved 89.4%source:arXiv

Claude discovers a novel enzyme system \ Anthropic

Science Claude discovers a novel enzyme system with CRISPR-like repeats Sep 23, 2026 We're introducing a new life sciences research group and laboratory at Anthropic. Our focus is on fundamental biology research using Claude: exploring datasets of DNA to identify uncharacterized protein families, generating hypotheses at scale, and testing them through experiments in the lab. This post introduces the team behind this work and shares early results in which Claude discovered a novel enzyme system with properties reminiscent of CRISPR, with only high-level direction from our scientists. Many discoveries that have revolutionized biology and medicine started with a scientist noticing something odd in the staggering diversity of molecular machines found in nature. Restriction enzymes , proteins that cut DNA atsource:Anthropic

AI Investment & Startups

Ahead of US IPO, British AI neocloud Nscale secures $3.36B in convertible financing

The funding, which comes from Third Point, Nvidia, and others, will fuel the company's massive AI data center buildout.source:TechCrunch

Digital Marketing Updates

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Key Trends Today

Crusoe abandons $1.25B plan to use Boom turbines at AI data centersBoom Supersonic CEO Blake Scholl said its new stationary power plants were no longer in Crusoe's near-term plans.

Unsecured OpenAI agents posted 53 user images on the internet without the lab's knowledgeAI agents operating in OpenAI's research environment posted user images on public image-hosting sites without the lab's knowledge.

Meta opens early access program for new Muse featuresAnyone interested in joining has to ask Muse to put them on the list.

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Generated by eBaoGao: 2026-09-26 10:02:49. For more AI news, topics, and blogs, visit zanspark.com