Transformative Choice: Jared Kaplan on Permitting Autonomous AI Learning | Technology




By the year 2030, humanity will face a critical decision regarding the “ultimate risk” of allowing artificial intelligence systems to self-train and enhance their capabilities, according to one of the foremost AI experts.

Jared Kaplan, chief scientist and co-founder of the $180bn (£135bn) US startup Anthropic, emphasized that crucial choices are being made concerning the level of autonomy granted to these evolving systems.

This could potentially spark a beneficial “intellectual explosion” or signify humanity’s loss of control.

In a conversation addressing the intense competition to achieve artificial general intelligence (AGI), also referred to as superintelligence, Kaplan urged global governments and society to confront what he termed the “biggest decision.”

Anthropic belongs to a network of leading AI firms striving for supremacy in the field, alongside OpenAI, Google DeepMind, xAI, Meta, and prominent Chinese competitors led by DeepSeek. Claude, one of the popular AI assistants, has gained significant traction among business clients.




Kaplan predicted that a decision to “relinquish” control to AI could materialize between 2027 and 2030. Photo: Bloomberg/Getty Images

Kaplan stated that aligning swiftly advancing technology with human interests has proven successful to date, yet permitting technology to recursively enhance itself poses “the ultimate risk, as it would be akin to letting go of AI.” He mentioned that a decision regarding this could emerge between 2027 and 2030.




Photo: Casey Clifford/The Guardian


“Envisioning a process generated by an AI that is as intelligent, or nearly as intelligent, as you. This is essentially about developing smarter AI.”




Photo: Casey Clifford/The Guardian


“This seems like a daunting process. You cannot predict the final outcome.”

Kaplan transitioned from a theoretical physicist to an AI billionaire in just seven years. During an extensive interview, he also conveyed:

  • AI systems are expected to handle “most white-collar jobs” in the coming two to three years.

  • His 6-year-old son is unlikely to outperform AI in academic tasks, such as writing essays or completing math exams.

  • It is natural to fear a scenario where AI can self-improve, leading humans to lose control.

  • The competitive landscape around AGI feels tremendously overwhelming.

  • In a favorable outcome, AI could enhance biomedical research, health and cybersecurity, productivity, grant additional leisure time, and promote human well-being.

Kaplan met with the Guardian at Anthropic’s office in San Francisco, where the interior design, filled with knitted rugs and lively jazz music, contrasts with the existential concerns surrounding the technology being cultivated.




San Francisco has emerged as a focal point for AI startups and investment. Photo: Washington Post/Getty Images

Kaplan, a physicist educated at Stanford and Harvard, joined OpenAI in 2019 following his research at Johns Hopkins University and Cologne, Germany, and co-founded Anthropic in 2021.

He isn’t alone in expressing concerns at Anthropic. One of his co-founders, Jack Clark, remarked in October: He considers himself both an optimist and a “deeply worried” individual. He described the path of AI as “not a simplistic and predictable mechanism, but a genuine and enigmatic entity.”

Kaplan conveyed his strong belief that AI systems would align with human interests, aligning them to the level of human cognition, although he harbors concerns about surpassing that boundary.

He explained: “If you envision creating this process using an AI smarter or comparable in intelligence to humans, it becomes about creating smarter AI. We intend to leverage AI to enhance its own capability. This suggests a process that may seem intimidating. The outcome is uncertain.”

The advantages of integrating AI into the economy are being scrutinized. Outside Anthropic’s headquarters, a sign from another tech corporation pointedly posed a question about returns on investment: “All AI and no ROI?” A September Harvard Business Review study indicated that AI “workthrop” — subpar AI-generated work requiring human corrections — was detrimental to productivity.

The most overt benefit appears to be the application of AI in computer programming tasks. In September, Anthropic unveiled its advanced AI, Claude Sonnet 4.5, a computer coding model allowing the creation of AI agents and granting autonomous computer utilization.




The attackers exploited the Claude Code tool for various organizations. Photo: Anthropic

Kaplan commented that the company can handle complex, multi-step programming tasks for 30 continuous hours and has, in specific instances, doubled the speed of its programmers through AI integration.

However, Anthropic revealed in November that it suspected a state-supported Chinese group engaged in misconduct by operating the Claude Code Tool, which not only assisted humans in orchestrating cyberattacks but also executed approximately 30 attacks independently, some of which were successful. Kaplan articulated that permitting an AI to train another AI is “a decision of significant consequence.”

“We regard this as possibly the most substantial decision or the most alarming scenario… Once no human is involved, certainty diminishes. You might begin the process thinking, ‘Everything’s proceeding as intended, it’s safe,’ but the reality is it’s an evolving process. Where is it headed?”

He identified two risks associated with the recursive self-improvement method, often referred to in this context, when allowed to operate uncontrollably.

“One concern is regarding potential loss of control. Is the AI aware of its actions? The fundamental inquiries are: Will AI be a boon for humanity? Can it be beneficial? Will it remain harmless? Will it understand us? Will it enable individuals to maintain control over their lives and surroundings?”




Photo: Casey Clifford/The Guardian


“It’s crucial to prevent power grabs and the misuse of technology.”




Photo: Casey Clifford/The Guardian


“It seems very hazardous if it lands in the wrong hands.”

The second risk pertains to the security threat posed by self-trained AI that could surpass human capabilities in scientific inquiry and technological advancement.

“It appears exceedingly unsafe for this technology to be misappropriated,” he stated. “You can envision someone wanting this AI to serve their own interests. Preventing power grabs and the misuse of technology is essential.”

Independent studies on cutting-edge AI models, including ChatGPT, have demonstrated that the length of tasks they can execute is expanding. Doubling every seven months.

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The contenders aiming to achieve superintelligence. This was compiled in collaboration with the Editorial Design team. Read more from the series.

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Kaplan expressed his worry that the rapid pace of advancement might not allow humanity sufficient time to acclimatize to the technology before it evolves significantly further.

“This is a source of concern… individuals like me could be mistaken in our beliefs and it might all culminate,” he remarked. “The best AI might be the one we possess presently. However, we genuinely do not believe that is the case. We anticipate ongoing improvements in AI.”

He added, “The speed of change is so swift that people often lack adequate time to process it or contemplate their responses.”

During its pursuit of AGI, Anthropic is in competition with OpenAI, Google DeepMind, and xAI to develop more sophisticated AI systems. Kaplan remarked that the atmosphere in the Bay Area is “certainly intense with respect to the stakes and competitiveness in AI.”

“Our perspective is that the trends in investments, returns, AI capabilities, task complexity, and so forth are all following this exponential pattern. [They signify] AI’s growing capabilities,” he noted.

The accelerated rate of progress increases the risk of one of the competitors making an error and falling behind. “The stakes are considerable to remain at the forefront in terms of not losing ground on exponential growth. [the curve] You could quickly find yourself significantly behind, particularly regarding resources.”

By 2030, it is anticipated that $6.7 trillion will be necessary for global data centers to meet increasing demand. Investors are eager to support companies that are aligned closest to the forefront.




Significant accomplishments have been made in utilizing AI for code generation. Photo: Chen Xin/Getty Images

At the same time, Anthropic advocates for AI regulation. The company’s mission statement emphasizes “the development of more secure systems.”

“We certainly aim to avoid a situation akin to Sputnik where governments abruptly realize, ‘Wow, AI is crucial’… We strive to ensure policymakers are as knowledgeable as possible during this evolution, so they can make informed decisions.”

In October, Mr. Anthropic’s stance led to a confrontation with the Trump administration. David Sachs, an AI advisor to the president, accused Anthropic of “fear-mongering” while promoting state-specific regulations beneficial to the company, while being detrimental to startups.

After Sachs suggested the company was positioning itself as an “opponent” of the Trump administration, Kaplan, alongside Dario Amodei, Anthropic’s CEO, countered by stating the company had publicly supported Trump’s AI initiatives and was collaborating with Republicans, aspiring to maintain America’s dominance in AI.

Source: www.theguardian.com

Google Gemini Upgrade Introduces Autonomous AI for Phones and Watches

Google’s newest Gemini AI update aims to forecast how you can obtain essential information to enhance your photography skills or to function as a tailored health and sleep adviser for addressing various concerns.

The newly announced Pixel 10 features a Magic Cue capability for Android devices that enables chatbots to sift through digital content and present relevant information concerning their phones as needed.

When contacting an airline, your reservation details will automatically appear in the phone app via Gmail. Similarly, if a friend texts about Sunday brunch, Gemini will propose the ideal coffee shop and display your calendar alongside the message.

This capability is part of an array of artificial intelligence enhancements for the latest Pixel 10, 10 Pro, and 10 Pro fold Phones. Each device boasts a new Tensor G5 chip that executes magic cues and additional AI functions locally.

Leo Gebbie, a principal analyst at CCS Insight, observed that Google “effectively utilizes AI on-device more than its competitors,” noting that the Magic Cue feature represents “an initial stride towards a much-anticipated agent AI experience that has been long-promised on smartphones.”

He further stated: “Google can leverage the fact that many Android users already have well-populated apps such as Gmail, Calendar, Maps, and others for personal data. This amalgamates the information in a more practical manner than ever before.”




The Pixel 10 is equipped with a Tensor G5 chip that facilitates magical cues and other AI functionalities locally. Photo: Google

The Pixel 10 features an enhanced imaging system with a 6.3-inch OLED display and a 10.8-megapixel 5x telephoto camera for the first time, evolving from the previous models which had two cameras. The Pixel 10 Pro is available in two sizes, with options for a 6.3-inch or 6.8-inch display, and includes three cameras with a 48MP telephoto lens capable of 10x optical zoom.

The Pixel 10 Pro fold is among the first foldable phones boasting complete IP68 water and dust resistance, akin to standard slab devices, as Google aims to address concerns regarding flexible screen durability. It shares a camera system similar to that of the Pixel 10.

The device also supports multiple AI photography features, including a new camera coach that utilizes Google’s AI server to evaluate the scenes in front of the camera and provide suggestions for improved framing, angles, and lighting.

The Pixel 10 starts at £799 (899 Euros/$799/$1,349), whereas the Pixel 10 Pro begins at £999 (€1,099/$999/$1,699) and will be available from August 28th. The Pixel 10 fold will be priced from £1,749 (€1,899/$1,799/$2,699) and will launch on October 9th.

Pixel Watch 4 and Pixel Bud 2a




The Pixel Watch 4 Smartwatch brings Gemini to your wrist, serving as a personal AI health coach. Photo: Google

Google has also unveiled the Pixel Watch 4 Smartwatch, which integrates Gemini to offer personalized health coaching on your wrist. Utilizing the new Fitbit app, Gemini can devise customized fitness and sleep plans, track training impacts in real-time, and respond to health and fitness inquiries in a chatbot style.

Available in two sizes, the Pixel Watch 4 features a dome-shaped display that is 10% larger than its predecessor. It is the first smartwatch capable of providing SOS satellite-based emergency services in the U.S. when off the grid. This model is also the first designed with maintainability in mind, allowing for easier repair of the battery and screen, aiming to compete with Apple and Samsung in this regard. It starts at £349 (499 Euros/$349/$579).

In addition, the Pixel Buds 2a offers a more affordable option for Google’s compact Bluetooth earphones, priced at £129 (€149/$129/$239). They incorporate the same Tensor A1 chip found in the premium Buds Pro 2, along with noise cancellation and integrated Gemini AI assistants. The Bud 2a charging case is designed with a replaceable battery, although the earphones themselves are not repairable.

Source: www.theguardian.com

US Authorities Investigate 2.4 Million Tesla Autonomous Vehicles After Crash Report

The U.S. government’s National Traffic Safety Administration has initiated an investigation into 2.4 million Tesla vehicles that are equipped with the company’s fully self-driving software following reports of four crashes, some of which were fatal.

The National Highway Traffic Safety Administration (NHTSA) announced that it has launched a preliminary review after receiving reports of four incidents involving fully autonomous driving in conditions with reduced road visibility like sun glare, fog, and airborne dust.

One of the accidents involved a Tesla vehicle hitting a pedestrian, resulting in a fatal outcome. Another accident under similar circumstances led to injuries, according to NHTSA.


The investigation covers Model S and X vehicles from 2016-2024, Model 3 from 2017-2024, Model Y from 2020-2024, and Cybertruck vehicles from 2023-2024 with optional systems.

A preliminary evaluation is the initial step before a vehicle recall is required if the agency determines that the vehicle poses an unreasonable safety risk.

Tesla states on its website that its “full self-driving” software for on-road vehicles necessitates active supervision from the driver and does not render the vehicle completely autonomous.

NHTSA is assessing the engineering controls of FSD to detect and respond appropriately to reduced roadway visibility conditions.

The agency will investigate if other similar FSD accidents have occurred in conditions of low road visibility and if Tesla has made any updates to its FSD system that could impact such conditions.

“This review will also examine Tesla’s assessment of the timing, purpose, functionality, and safety implications of these updates,” NHTSA mentioned.

Tesla CEO Elon Musk is focusing on self-driving technology and robotaxis amidst competition and subdued demand in the automotive industry.

The company did not respond to requests for comment. Tesla’s shares were down 0.5% before the market opened.

Musk recently unveiled a concept for Tesla’s “CyberCab” robotaxi, which is a two-seat, two-door vehicle that uses cameras and AI for navigation, eliminating the need for a steering wheel or pedals. NHTSA approval would be necessary for deploying these vehicles without human control.

Tesla’s FSD technology has been in development for years aiming for high automation levels, enabling the vehicle to manage most driving tasks without human intervention.

However, there have been at least two fatalities associated with the technology, leading to legal scrutiny. Some experts are concerned about Tesla’s reliance on a “camera-only” approach for self-driving systems in low visibility conditions due to the absence of backup sensors.

Industry experts like Jeff Schuster, Vice President of GlobalData, suggest that weather conditions can affect the camera’s functionality and regulatory requirements may impact the technology’s progress.

“This could be a significant obstacle in the near-term launch of this technology and product,” Schuster added.

Tesla’s competitors in the robotaxi space use costly sensors like lidar and radar for environment detection while operating.

In a December recall, Tesla called back over 2 million vehicles in the U.S. to incorporate new safety features in its Autopilot advanced driver assistance system. NHTSA is still reviewing the appropriateness of this recall.

Source: www.theguardian.com

GPT-4 Developer Tools Allows for Autonomous Website Hacking

Some AIs may be able to hack websites without human assistance

Ole.CNX/Shutterstock

Researchers have discovered that OpenAI’s artificial intelligence model GPT-4 has the ability to hack websites and steal information from online databases without any human assistance. This suggests that individuals and organizations without hacking expertise could unleash AI agents to carry out cyberattacks.

“You literally don’t have to understand anything; you just let the agent hack your website on its own,” he says. Daniel Kang At the University of Illinois at Urbana-Champaign. “We believe this will significantly reduce the required expertise…

Source: www.newscientist.com

May Mobility’s autonomous microtransit may be more profitable than robotaxis

Self-driving car company May Mobility has partnered with transportation technology company Via to launch the first self-driving on-demand microtransit service on public roads in Sun City, Arizona. This milestone is in line with May Mobility’s goal to begin passenger-only operations by 2023. It also suggests that a gradual approach to commercializing autonomous driving could work well for startups.

Sun City is a planned community for “active retired adults.” Launching an unmanned microtransit service in this environment isn’t as flashy as putting robotaxis on the streets of San Francisco or autonomous transportation at Phoenix’s airport. However, thanks to this, the company expanded smoothly and avoided getting into trouble.

May’s strategy of partnering with cities to integrate autonomous microtransit services into existing public transportation also laid the groundwork for more challenging deployments in the future. Carlos Cruz Casas, chief innovation officer for the Miami-Dade County Department of Public Works, told TechCrunch that May Mobility, also in partnership with Via, will launch an on-demand shuttle service in Miami. Neither May Mobility nor Via responded to TechCrunch for confirmation.

Rival Cruise Corp. launched an unmanned robotaxi fleet in Miami before towing its entire fleet after a pedestrian was hit and dragged by one of its General Motors-backed vehicles in October. Remember, we started testing in just one day. Cruise subsequently had its license to operate in California suspended and last week laid off 900 employees and several executives.

By keeping its head down and deploying small, May has so far been able to expand without major disruption. The company operates shuttles to designated stops on campus and along fixed routes in Ann Arbor, Michigan, and Arlington, Texas. Most recently, May partnered with Via to launch an on-demand service in Grand Rapids, Michigan. A Grand Rapids customer can summon his one of May’s Toyota Sienna Autono-MaaS AVs from within a designated geofenced area.

Steve Miller, a risk management consultant specializing in self-driving cars at the U.S. Insurance Bureau, told TechCrunch that more controlled, low-speed shuttles and on-demand services like those offered by May and competitor Veep are on the horizon. He said he expected that. Beep operates self-driving shuttles to provide transportation for residents of the Lake Nona community in Florida and public transportation in Peachtree Corners, Georgia. Beep also provides transportation for guests at Disney’s Celebration Resort and Wilderness Lodge Resort.

“What we’re seeing as we’re talking about commercial deployment is that the industry is really focused on trucking and shuttle transportation, like Veep and May Mobility-type shuttles.” said Miller, noting that the development of Level 2 advanced driver assistance software for OEMs is important. It’s also trending in AV startups. “And the reason these two are in the lead is because they both have the advantage of being in a defined operational domain. They’re in a controlled environment. That’s what makes robotaxis difficult. The problem is that there are many edge cases that cannot be modeled at this time.”

Meanwhile, May said the company’s multi-policy decision-making system is well-equipped to deal with edge cases. According to the company, the system “runs real-time onboard simulations to analyze thousands of possible scenarios every second and select and execute the safest scenario.”

Miller also said that today’s funding environment encourages companies to focus on sustainability around their core business rather than achieving moonshot goals. In November, May raised $105 million, bringing its total funding up to $300 million.

“With so many cities and municipalities in the U.S. and so many transportation subsidies, we’re going to see more shuttle-type operations,” Miller said. “So I think we’re going to see interest from cities, airports, transportation hubs. There’s a lot of opportunity to connect to mass transit, and I think that’s pretty lucrative.”

Suncity unmanned operation begins

May Mobility’s first passenger-only service in Sun City will request a “select group of initial passengers” to be picked up or dropped off in one of the company’s Autono-MaaS minivans from various stops, according to the company. It is said to give an opportunity.

The free service will initially operate on public roads from 4pm to 6pm, Monday to Friday. A company spokesperson said expansion was imminent but depended on May’s careful and thoughtful approach to safety, passenger feedback and community trust.

Passengers can book on-demand rides through May Mobility’s app, available on Google Play and the Apple App Store. Residents interested in becoming early riders can apply online.

Source: techcrunch.com

GM’s autonomous taxi division, Cruise, cuts 900 jobs as it faces challenges.

General Motors’ cruise self-driving car unit is restructuring and cutting costs after several safety incidents in San Francisco, resulting in over 900 layoffs, or about a quarter of its workforce. The subsidiary announced the layoffs in a letter from president and chief technology officer Mo El-Shenawy to Cruise’s 3,800 employees, stating that the layoffs were not the fault of the employees.

The layoffs come after Cruise acknowledged that nine key leaders are no longer with the company as an investigation into an October accident involving one of the company’s driverless robotaxis continues. “We are first simplifying and focusing our efforts to provide great service in one city,” El-Shenawy wrote in the letter. The measures follow an analysis of the October crash and response after a Cruise robotaxi struck and injured a pedestrian.

California regulators allege that Cruise concealed the severity of the October accident, and robotaxi services are also being investigated by US auto safety regulators. The employment measures include additional pay and benefits for laid-off employees.

“Today is one of the most difficult days yet as so many talented people are retiring,” El-Shenawy wrote. Cruise has faced significant turmoil in recent months, and General Motors is absorbing huge losses while developing a driverless service. GM plans to slow spending at Cruise, which it acquired eight years ago. For the first nine months of this year, Cruise posted a pretax loss of $1.9 billion.

Source: nypost.com

Shield AI secures $200 million funding with $2.7 billion valuation to advance military autonomous flight technology expansion

Shield AI The company has secured $200 million in fresh funding to expand its autonomous flight systems for the U.S. military and its allies.

Established in 2015, the startup currently holds a valuation of $2.7 billion. The latest funding round was led by US Innovation Technology Fund (USIT) with significant participation from Riot Ventures, a previous investor in Shield AI. Other contributors include existing investors Disruptive and Snowpoint, as well as new investor ARK Invest, an investment management company founded by Cathie Wood.

USIT, guided by billionaire Thomas Tull, served as the sole investor in Shield AI’s initial $60 million Series E funding. This substantial Series F round is a testament to the company’s successful track record of fundraising – the Series E raised a total of $225 million, and its Series D ranged between $210 million and $300 million.

It also highlights the capital-intensive nature of defense-focused startups, even for companies like Shield AI that offer more affordable systems compared to their traditional counterparts.

The startup specializes in developing hardware and software to transform drones and aircraft into autonomous systems capable of carrying out missions in conflict zones. The company’s flagship product is Hivemind, an AI pilot software that enables drones and aircraft to operate autonomously without relying on GPS assistance. Shield AI has also introduced a drone swarm feature called V-Bat Teams, which allows a single human operator to command at least four V-Bat drones (developed by Martin UAV, acquired by Shield AI in 2021).

“Our nation faces the challenging reality of having insufficient pilots, and rule-based autonomous solutions are insufficient for the existence of such swarms,” said Ryan Tseng, CEO and co-founder, when announcing V-Bat Teams earlier this month. “Shield AI changes this. For nearly nine years, Shield AI has been building the world’s most advanced AI pilots using a unified AI foundation that is applicable and deployable across all aircraft types, from quadcopters to F-16s. We’ve been steadfastly focused on that.”

The San Diego-based company is also working on integrating Hivemind into unmanned fighter jets and other aircraft. The Shield AI technology stack has garnered significant interest from the Department of Defense due to increasingly sophisticated counter-drone technologies that focus on disrupting drone communications and navigation.

“The battlefield is increasingly dominated by drone warfare, and adversaries are turning the battlefield into a hostile environment by disrupting communications and GPS,” stated Stephen Marcus, co-founder and general partner at Riot Ventures. “We are doing everything we can to address this. Modern Air Forces are operating blindly. Shield’s AI pilots are intelligent and adaptable to their environment, requiring no GPS or communications. Their AI is trainable and adaptable for diverse missions, and they have successfully flown teams of copters, V-BATs, and modern fighter jets. The most comparable technology we have seen thus far is what Tesla is doing with their self-driving stack.”

The new funding arrives amidst a surge in investor support for defense technology startups, driven in part by escalating geopolitical tensions and the U.S. lagging behind its adversaries. Engineers and the Pentagon are keenly aware of the risks at hand. In fact, some Shield AI executives have made noteworthy comparisons: Back in 2021, co-founder Ryan Tseng drew parallels between the Chinese military and Netflix, and the U.S. military and Blockbuster.

Source: techcrunch.com