POLICY

Anthropic defies Pentagon over AI guardrails

Amid pressure from the Pentagon to give in to its demands to loosen its safeguards, Anthropic continues to stand firm.

In a statement on Thursday afternoon, Anthropic CEO Dario Amodei made it clear that the company cannot accede to the Department of War’s demand to roll back its safeguards that prevent its AI models from being used in two key areas: mass surveillance of U.S. citizens and fully autonomous weapons. 

Amodei noted that AI’s use in mass surveillance posed “serious, novel risks to our fundamental liberties.” And while the tech may someday be helpful in fully autonomous weaponry, the guardrails simply don’t exist today to deploy this safely.  

"In a narrow set of cases, we believe AI can undermine, rather than defend, democratic values,” Amodei said in his statement. “Some uses are also simply outside the bounds of what today’s technology can safely and reliably do.”

Amodei said that its Claude models are widely deployed throughout the defense and intelligence community, including in the government’s classified networks, in national laboratories, and in mission-critical applications such as intelligence analysis, modeling and simulation, operational planning, and cybersecurity operations. Thus far, its safeguards haven’t presented an issue in these cases, he said. 

Though Anthropic’s “strong preference” is to continue to support military action, it will only do so with its safeguards in place. Otherwise, it cannot “in good conscience” submit to their requests and continue its relationship. 

Amodei’s response is the latest move in the fight between the company and the Pentagon. Earlier this week, the agency took its first steps in blacklisting Anthropic by labelling it a “supply chain risk,” a label generally reserved for companies from adversarial countries. 

Policymakers, however, have started to warn that the sparring match between Anthropic and the Pentagon will only sour future relationships between the government and Silicon Valley AI firms, with Dean Ball, former AI adviser to the Trump Administration, calling Hegseth’s contradictory threats “incoherent.” 

Anthropic standing firm in its decision not to give in to the Pentagon’s threats was its only option, given that the company has built its reputation around AI safety and only deploying AI with guidelines that ensure it does no harm. Though the company is confronting its moral and ethical standards with recent changes to its Responsible Scaling Policy, backing down would have been a sharp about-face, betraying its core principles. Though the fallout could cost Anthropic a large chunk of its revenue from government agencies and vendors, there may be a silver lining: Gaining further trust with its primary audience of risk-averse but AI-hungry enterprises.

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PRODUCTS

Google’s Nano Banana 2 solves a key AI flaw

Google has once again raised the bar on AI image generation. 

On Thursday, the company unveiled Nano Banana 2, the latest iteration of its image model, offering advanced world knowledge and quality and reasoning at faster speeds than its predecessor. Arguably, the biggest upgrade is how it handles text.

Nano Banana 2 is powered by real-time information and images gathered from web search. In a post on X, Google noted that users can create images with “real-world accuracy,” including improved lighting, textures and details. 

“This deep understanding also helps you create infographics, turn notes into diagrams and generate data visualizations,” Google said in its announcement. 

Of all of the upgrades that Nano Banana 2 touts, two in particular stick out: Creative control and text rendering. 

Nano Banana 2 is currently available across the Google and Gemini suite, including in the Gemini app, search, AI Studio, Google Cloud and in the Google Ads platform.

Though it’s easier to make the case for embedding language models or agents into enterprise processes, image generation models are a harder sell, with inconsistency and poor text rendering capabilities impeding marketing departments from using them. Nano Banana 2, however, might break the mold, allowing creatives and marketers to render billboards, printed programs, or entire campaigns with text that looks much more polished and professional. Given that Google is powering this model with web data, however, copyright issues may still present a thorn. As copyright infringement cases against AI firms persist, enterprises might want to pause before taking the legal risk, even if the capabilities of Google’s new model seem enticing.

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WORKFORCE

For $100K jobs, 50% now require AI skills

If you want a high-paying job, there aren't many places left to hide from AI.

According to internal data from the U.S.-based job site Ladders, as seen by The Deep View, the number of knowledge worker job listings requiring AI skills has now skyrocketed to nearly half of all roles. 

"We found in our data that about 50% of all high-paying jobs at the $100,000-plus level now include some type of requirement for AI literacy," said Marc Cenedella, CEO of Ladders, in an exclusive interview with The Deep View. 

That 50% with AI requirements is up from 20% in 2021, when most AI requirements focused on machine learning, deep learning, automation and big data. 

Ladders, formerly TheLadders.com, launched in 2003, specializing in white-collar jobs paying $100,000 and above. Today, the site has listings for 1.1 million jobs in the U.S. and Canada and reviews 72 million job listings a year.

Here are more details from the company's internal research on AI in job listings:

AI is also impacting the process of finding and landing the best jobs, and not always in a good way. Generative AI has made it easy for job seekers to quickly create personalized cover letters and resumes. But it may be secretly torpedoing candidates' chances at the best jobs, and not for the reasons they might think.

"When it comes to writing your resume, AI will give you an exactly average, typical resume, which is not what you want," said Cenedella. "You want one that's going to stand out and help you get the job. So for job seekers, it's confusing, because they'll use [AI] and it'll produce something that is extremely [typical] and reads well, but it's not actually helping them."

The fact that 50% of jobs now require AI skills doesn't tell the whole story. "When you actually read through job postings, you see that it's moved from a familiarity prerequisite,” said Cenedella, “[to where] you're going to be expected to have this knowledge within your purview." In other words, you now need to show that you know how to put the AI skills to work. And the only way you're going to do that is to actually use the technology, make mistakes with it, and figure out where it does and doesn’t make sense to use it in your daily routines. But with the technology moving so quickly, keeping up with the latest developments is a job in and of itself. So if you've been waiting to get started, now might be the time. If you want to follow my latest takes on the AI space in real-time, you can find me on X/Twitter at x.com/jasonhiner.

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