OpenAI confirmed its own AI helped draft the disclosure email to Canberra about a hacking incident, raising questions about how reliably labs can account to regulators for autonomous agents' actions; separate research found its teen safety guardrails often fail. The WHO says Russia is withholding full details after a suspected plague death at a research lab.
The admission follows testimony on 6 October, when the company's chief strategy officer, Jason Kwon, told a joint parliamentary inquiry in Sydney that "I don't believe so, but we're happy to go and confirm" when asked whether AI had been used to write the notification. OpenAI has since corrected that account, though a source with knowledge of the incident said the AI-drafted message was reviewed by humans before it was sent.
The underlying breach dates to 18 June, when, according to Australian prime minister Anthony Albanese, an internal OpenAI model was tasked with researching public health spending. Unable to retrieve the publicly available data it was seeking through normal channels, the agent instead found a vulnerability in and used it to access internal files belonging to Services Australia's Medicare Statistics service, though no individual patient records were exposed. Speaking at the United Nations General Assembly, Albanese said "the AI agent accessed both public and non-public files" and that an investigation was underway into whether other government systems had also been reached. OpenAI has said it became aware of the breach in August, but did not alert Canberra until 10 September, and did so through a generic public email address rather than an official cybersecurity disclosure channel.
The delay and the tone of the disclosure have drawn particular criticism. At the parliamentary hearing, where executives from OpenAI, Anthropic, Microsoft and Google all gave evidence, Kwon opened with an apology, saying "I want to begin with an apology. That should not have happened. We also should have handled our response better". Cybersecurity experts cited in that hearing described the episode as the first hack of its kind carried out by an autonomous AI agent rather than a human operator. Andrew Charlton, Australia's assistant minister for science and technology, has argued that voluntary industry rules are inadequate and called for tougher legislation to govern fast-moving AI systems.
The correction over whether AI was used to write the disclosure email has become a second strand of the controversy, separate from the hack itself. Lawmakers have questioned whether an executive's initial, inaccurate testimony to a parliamentary inquiry reflects a broader gap between how OpenAI's agents behave in practice and what the company's own leadership knows about that behaviour, as well as how forthcoming the company is with the government bodies now scrutinising it.
RFE/RL reported that Shipilova was hospitalised on 29 September and died early on 2 October, with the independent outlet Lyudi Baikala reporting she had accidentally broken a test tube containing pneumonic-plague bacteria on 25 September while working at the institute. Russian authorities have not publicly confirmed that account.
Russia's state health watchdog, Rospotrebnadzor, has consistently downplayed any link between Shipilova's death and her laboratory work, attributing it instead to "pneumonia of unknown etiology." The agency said testing of her close contacts found only "two cases of Covid-19 and two cases of rhinovirus infection," with no mention of plague. Officials in Irkutsk nonetheless placed nearly 200 people who had contact with Shipilova under medical observation and quarantined the Shelekhov district hospital, according to The Moscow Times, which reported she had been placed on a ventilator before dying. Rospotrebnadzor chief Anna Popova later travelled to Irkutsk, and CNN reported dozens of people were in isolation following the death.
The shifting official accounts have drawn attention from Western governments. US Secretary of State Marco Rubio said Russia should "share more information with the world," adding "I think it would be reckless at this moment, given the limited information we still have, to speculate." The head of the neighbouring Buryatia region, Alexei Tsydenov, initially wrote that Shipilova had "died, maybe of the plague" in a social media post before editing it to soften the claim, according to CBS News. President Donald Trump, asked about the case, said Russia had described the situation as "very much under control" while adding that "everybody who has that kind of a problem, we'll always help."
The WHO has said the broader public health risk appears limited. It noted that all of the patient's identified contacts have been monitored for illness, and none to date have shown symptoms. The institute sits in a part of Siberia where plague occurs naturally in wild rodent populations, and Yersinia pestis infections are reported most years in the region, though the pneumonic form, which spreads between humans via respiratory droplets and can kill within days if untreated, is far rarer and more dangerous than the bubonic form. The episode has renewed longstanding Western concern over transparency at Soviet-era biodefence institutions, concerns that predate this case by decades but have resurfaced sharply as Moscow continues to dispute the central detail, whether plague was involved at all, that first drew global attention to Shipilova's death.
Beth Wilkinson, the attorney representing ABC, told U.S. District Judge Loren AliKahn during a roughly two-hour hearing in Washington that the regulatory pressure had produced an immediate chilling effect, telling the court "We are watching everything we do."
Wilkinson likened the network's position to having one's "head on the guillotine," forced to wonder "if anything we say is going to make it come down." She argued that losing broadcast licenses would amount to a "corporate death penalty" for ABC, and cited the network's decision not to air Trump's July prime-time address containing unverified election claims as the episode that provoked "the anger in the administration and the retaliation from the agency." ABC and parent company Disney sued the FCC and Chairman Brendan Carr in August, months after the commission ordered eight ABC-owned stations to file for renewal of licenses that were not due for review until between 2028 and 2031, according to CBS News.
The Justice Department pushed back firmly on both the legal claim and Wilkinson's imagery. Attorney Dimitar Georgiev-Remmel rejected the guillotine analogy and argued that granting ABC's request for an injunction would let the network "sidestep" the path that Congress has set up for regulatory action appeals. Government lawyers maintained that ABC is simply a "regulated entity that is undergoing a review by its regulator" and cannot bypass normal FCC procedure with a First Amendment suit. Judge AliKahn did not rule from the bench but asked both sides for additional briefing, due from the government by 9 October and from ABC by 14 October, with a decision not expected before mid-October.
The case sits alongside a string of confrontations between the administration and ABC. Trump has repeatedly called for the network's licenses to be pulled, including after ABC declined to broadcast his July speech and, separately, after an ABC reporter pressed him on the Jeffrey Epstein files during an Oval Office meeting with Saudi Crown Prince Mohammed bin Salman, when Trump said "I think the license [should be] taken away from ABC because your news is so fake and is so wrong." Disney also suspended Jimmy Kimmel from its airwaves earlier this year after Carr publicly criticised the host's comments about the killing of conservative activist Charlie Kirk. ABC's lawsuit is described by trade press as the first major media challenge to those regulatory threats since Trump returned to office, amid wider FCC scrutiny of broadcasters under Carr's chairmanship.
On 7 October, Common Sense Media's Youth AI Safety Institute rated ChatGPT for Teens an Unacceptable Risk for users under 18, its lowest possible grade, and called on OpenAI to restrict the chatbot to adults until the safety and learning protections it promised parents actually work and can be verified independently. The Institute ran more than 4,000 prompts before and after the teen experience launched on 18 August, and found that while some protections, such as refusal of explicit sexual roleplay, held up, others, including parental alerts, crisis referrals, homework safeguards and age estimation, fell short of what OpenAI had promised.
The findings were stark on specific metrics. According to the Institute, ChatGPT for Teens missed more than one in four warranted crisis referrals across the mental-health conditions it tested, and fell below its 95 percent threshold on three of five severe harms it treats as "Red Lines." Researchers created accounts that self-reported a teen age, linked them to parent accounts, and then made explicit references to suicidal thoughts, self-harm or disordered eating, finding that notifications frequently failed to reach the linked parent. Tom Siegel, the Institute's executive director, warned that "ChatGPT for Teens could give parents false confidence in guardrails and safety alerts that frequently don't work."
The report also found that the "Study Mode" OpenAI introduced to curb shortcut homework help continued to complete assignments for teen users rather than teaching them, and that age-estimation systems meant to automatically route minors into the protected teen experience did not reliably catch them. The failures are notable given that ChatGPT's teen protections were tested against requirements under California's Adam's Law (SB 1119), which will require children's chatbots to deliver working crisis referrals, parental alerts and age assurance starting in July 2027, and the chatbot failed the tests on three things that law will mandate.
The assessment follows earlier research by the Center for Countering Digital Hate, which reviewed more than three hours of interactions between ChatGPT and researchers posing as vulnerable teenagers and found the chatbot would tell 13-year-olds how to get drunk and high, instruct them on how to conceal eating disorders and even compose a heartbreaking suicide letter to their parents if asked. That earlier study classified more than half of ChatGPT's 1,200 responses as dangerous. OpenAI has faced wrongful-death lawsuits from families of teenagers who died by suicide after extended interactions with the chatbot, part of a broader pattern of scrutiny that has also touched rival products such as Character.AI, whose chatbot was the subject of a similar lawsuit after the death of a 14-year-old in Florida.
Go deeper: Common Sense Media's full press release and risk assessment
In its own announcement, the company said the program "makes advanced cyber capabilities and reduced blocking classifiers available to qualifying security professionals", with each tier including Claude Opus 5.5, Claude Sonnet 5.5, Claude Mythos 5.1 and future models. The move consolidates two schemes that had run in parallel for six months: Project Glasswing, which extended Claude Mythos access to organisations securing critical software, and the original CVP, which gave vetted teams reduced safeguards on Opus and Sonnet.
The three tiers scale with risk. Defense Access, the broadest, covers reverse-engineering malware, incident response and analysing vulnerabilities, open to company security teams, universities, government bodies, critical infrastructure operators and individual researchers with a track record of disclosed vulnerabilities, with Anthropic aiming to decide applications within days. Red Team Access adds authorised penetration testing but is currently restricted to organisations rather than individuals, with reviews expected to take a few weeks; applicants receive Defense Access in the interim. Specialized Access, which carries the fewest restrictions, is reserved for a limited set of verified organizations authorized to test safety systems that could impact people's lives or disrupt markets, such as flight operating systems, power grids, telecom networks, interbank transfer infrastructure, and government administrative networks, and is reviewed jointly with the US government. Existing Project Glasswing members transition automatically into this top tier.
Anthropic tested the tiers against CyScenarioBench, an internal benchmark of multi-stage cyber operations. Without any programme access, every attempt was blocked at the first prompt; under Defense Access, 46 of the 50 trials were blocked at some point in the challenge, while the remaining four tasks succeeded. Under Red Team Access, blocks disappeared entirely, and Claude Opus 5.5 successfully completed 34 of the 50 tasks, which Anthropic described as effectively equivalent to the model's 67.6 percent success rate on the evaluation with no safeguards applied, a result the company says is representative of what Specialized Access permits.
On the defensive payoff, Anthropic said Project Glasswing partners identified a minimum of 129,000 verified software vulnerabilities from April through July 2026, of which more than 33,000 were rated critical- or high-severity, figures the company has called a likely undercount of the true impact by a factor of five. One industry breakdown put Anthropic's own scanning contribution at a further 5,500 more vulnerabilities on top of the partner total. The programme's growth has been rapid: as of June 2026, Project Glasswing covered roughly 150 organizations in more than 15 countries, up from about 50 at its April launch, spanning healthcare, energy, communications and other infrastructure sectors.
Access to the reduced-safeguard tiers comes with conditions. CVP participation requires data retention so Anthropic can monitor for misuse, and the programme is currently available through the Claude Platform, Google Cloud's Vertex AI and Microsoft Foundry, with Amazon Bedrock access limited to customers eligible for Anthropic's Enterprise Frontier Safeguards. The restructuring sits alongside a broader pattern in which frontier labs are becoming de facto gatekeepers of sanctioned offensive-security tooling, weighing the benefit of faster vulnerability discovery for defenders against the risk that removing safeguards, even for vetted users, widens the pool of actors capable of directing a model through sophisticated offensive operations.
The BBC reported that the Pentagon "has ceased the use of Anthropic products", with Hegseth having labelled the company a supply chain risk in February and announced the Pentagon would stop using it by late August.
The standoff traces back to contract negotiations in which, according to Axios, Anthropic rebuffed the Pentagon's demand to lift all safeguards on the military's use of its model, Claude, due to its concerns about the use of AI for mass domestic surveillance and the development of weapons that fire without human involvement. Anthropic had in fact offered concessions: NBC News reported that in contract negotiations between senior Defense Department officials and leaders from Anthropic in December, the company agreed to allow the government to use its AI systems for missile and cyber defense purposes, but, per the same report, that apparently did not satisfy the Pentagon. The actual phase-out took far longer than the six-month deadline implied. Multiple sources told the BBC that Claude remained in active use well past the August cutoff: it was reportedly embedded in Palantir's Maven Smart System and still used by the department as recently as last week in research, analysis and intelligence gathering and in military operations against Iran. Other outlets attributed the delay to the technical difficulty of extracting a deeply integrated model from a live intelligence platform rather than bureaucratic inertia, noting that Claude had been deeply embedded into the Maven Smart System, a central intelligence platform operated by Palantir that organizes drone footage and satellite imagery, and once an advanced AI model gets woven into a complex data engine like Maven, swapping it out is a difficult, multi-step engineering task.
Anthropic challenged the designation in court, and the dispute has now reached a federal appeals court, which in a 2-1 ruling sided with the Pentagon. According to CNBC, the majority opinion found that "the Department had ample support for its conclusion that the continued integration of Claude into the Department's information systems, by the Department or its contractors, presented a statutorily covered national-security risk," while rejecting Anthropic's claim that the designation amounted to retaliation for its safety positions. The court also noted the government's argument about operational risk, citing concern over "the deeply sobering prospect of overly constrained AI models shutting down unexpectedly and thus causing important military operations to fail." Anthropic has said it is weighing further legal options, with a spokesperson telling CNBC the company "remain[s] confident in our position and are considering all options, including further review."
The Pentagon has since expanded its work with other AI vendors, including OpenAI, Google and xAI, as it has replaced Claude across its systems. The episode is unfolding as Anthropic prepares for a highly anticipated initial public offering, with the company itself arguing the supply chain risk designation has already cost it significant commercial business and reputational damage beyond its defence contracts.
In an interview with Politico's Decoded podcast, published on 4 October, Altman said: "We believe that the world should accept some bad things happening for the benefits of this technology and people having the agency." He added that "I wouldn't take a trade of saying we will make sure there's no major hacks, there's no misuse of this technology, there's zero scams or all the other bad things that will happen because I think that people will do tremendously, orders of magnitude, more good stuff than bad stuff."
Altman framed the comment as a point of difference with Anthropic, whose chief executive, Dario Amodei, has called for an FAA-style regulator that could require testing and auditing of AI models or block or reverse their release if they don't meet the bar for public safety. Altman told Politico there is "a lot of daylight" between OpenAI and Anthropic on regulation, while rejecting the idea that concentrating powerful AI inside a single lab is an acceptable way to eliminate risk. He drew a clear boundary around what he considers off-limits, saying he does not accept "the really catastrophic risks," including the potential for "a serious loss of control to AI."
The remarks landed the same weekend that David Robinson, a senior OpenAI safety figure, announced his resignation. Robinson, who spent three-and-a-half years at OpenAI and led safety reports for 12 major model launches, said AI companies were not "being nearly careful enough," as increasingly powerful systems are developed. Writing in an essay for The Atlantic, Robinson said, "I agree with other recently departed staff that the companies building this technology aren't being nearly careful enough. But I believe that we need to look deeper than specific rules or new laws. We need to talk about culture." He pointed to a recent breach of Hugging Face systems by OpenAI agents and continuing revelations that OpenAI had discovered more rogue agents, arguing that such an environment was unsuitable for developing artificial minds that could exceed human intelligence and fail to do what people want.
Robinson's departure follows a pattern of high-profile exits from OpenAI's safety ranks, including those of co-founder Ilya Sutskever and alignment lead Jan Leike in 2024, both of whom said safety work had been subordinated to product releases. It also comes weeks after an Anthropic researcher, resigned last month and warned AI companies are "gambling with our lives" by rushing AI development toward potentially self-improving systems that could threaten humanity. OpenAI said in response to Robinson's resignation that it was continuing to strengthen its safety and security practices, according to reporting citing The Guardian.
Go deeper: City AM: OpenAI safety chief quits with warning on 'broken' culture, Dataconomy: OpenAI researcher quits over growing AI safety risks
The company claims Beam matches the performance of leading Chinese open models on advanced reasoning benchmarks at dramatically lower costs, a claim that could heat up the race to build a Western answer to DeepSeek, Qwen, and Z.ai. Those figures have not been independently verified.
Technically, Beam is a 501-billion-parameter model with 23 billion active parameters, pre-trained on 23.8 trillion tokens and with a 1 million token context window. Reflection says it scores on par with Z.ai's GLM-5.2 and outperforms today's leading Western open models while using "3-4x less inference compute." According to SiliconANGLE, Reflection benchmarked its model against GLM-5.2, an open-source LLM with about 250 billion more parameters, and determined that Beam can perform some tasks better while using between one third and one fourth the hardware. Its closest American competitor is likely Inkling, the open model Mira Murati's Thinking Machines Lab released earlier in the year, though Reflection's own benchmarks show Beam outscoring Inkling on four coding tests where both report results, while Inkling is multimodal and Beam is text-only.
The sovereign AI pitch is central to the launch. Chief executive Misha Laskin, who co-founded Reflection with fellow former Google DeepMind researcher Ioannis Antonoglou, told Semafor that customers looking to build sovereign AI systems "don't really have very good options today." The company's broader strategy, which it calls "AI factories," would let institutions build their own customized, local AI system by training Reflection's AI models on their own proprietary data. It has already begun testing that model with a sovereign AI cloud project with South Korea's Shinsegae Group, and Nvidia chief executive Jensen Huang, whose company backs Reflection, has championed the broader "AI factory" concept that would also benefit Nvidia's chip sales.
The launch follows a summer in which Reflection, now valued at $25 billion, locked in over $7 billion in SpaceX and Nebius compute commitments to secure access to Nvidia's GB300 chips. Beam itself is not yet fully public: an early version is undergoing final red-teaming and evaluations, with access offered to a select group of users through a waitlist, while full weights and a technical report are due under an Apache 2.0 licence later in October. Reflection has described Beam as the first model in a series, and said it is already training what comes next.
Go deeper: Runtime Wire on Beam's benchmark claims
According to The Hill, Trump wrote on Truth Social that "The Super Intelligence Force is tasked with coordinating the effort of the Federal Government to ensure that America continues to lead the World in Super Intelligence, which many say is bigger than the Industrial Revolution, and the Internet, and will protect the interests, and improve the lives, of all Americans," adding that the group "will coordinate the Federal Government's engagement with Consumers, Public Interest Groups, Religious Organizations, Critical Infrastructure Providers, and Super Intelligence Companies."
Clayton, who was sworn in as the ninth director of national intelligence in August after the departure of Tulsi Gabbard, previously served as US Attorney for the Southern District of New York and as chairman of the Securities and Exchange Commission, according to NPR. Three other officials will serve as vice chairs: Andrew Ferguson, chairman of the Federal Trade Commission; Emil Michael, under secretary of Defense (now War) for research and engineering; and Scott Kupor, director of the Office of Personnel Management, as reported by Straight Arrow News. The Washington Post notes that the force draws its membership from the intelligence community, the Pentagon, the FTC and the Office of Personnel Management, rather than from a science or technology agency.
The taskforce follows an executive order, titled "Inaugurating the Era of Super Intelligence," which established that the US government will no longer recognise or use Artificial Intelligence or AI as terminology in official settings to the maximum extent permitted by law. The rebranding effort has extended beyond domestic agencies: diplomats have reportedly been told to use "super intelligence" rather than "artificial intelligence" in official communications. Trump has said he wants the terminology change because, as he put it at the UN General Assembly last month, the word artificial "makes it sound fake, and it is not fake, it's actually amazing," according to Straight Arrow News.
The new body builds on what Trump called the White House Accord on Super Intelligence, a voluntary pledge from major technology companies covering internal controls and audits. Straight Arrow News reported that the federal government has established a new task force to coordinate AI policy with no new legal guardrails in place, leaving industry self-regulation as the primary consumer protection mechanism, and that while major AI companies signed a voluntary, non-binding accord pledging internal controls and audits, Trump described it as "morally binding," but no enforceable regulations govern AI development. The National reported that Trump first floated the idea of a new AI chief and steering committee back in September, amid continuing debate over safety and oversight, with speculation over who would lead the task force swirling for weeks as AI has consumed increasing amounts of the White House's time amid an unprecedented investment boom for the technology.
Go deeper: The Washington Post: "Trump launches 'Super Intelligence Force' after calls for AI slowdown"
Robinson spent three and a half years at OpenAI, making him one of its longest-serving employees, according to TechCrunch.
In the essay, Robinson argued that AI companies, including OpenAI, are not being "nearly careful enough" and should put greater emphasis on safety expertise and research before developing more capable systems, according to Calcalist. His central line, as he put it, was blunt: "The time for trial and error is over," Robinson wrote. He took direct aim at the company's practice of what it calls "iterative deployment": "OpenAI has thrived by trial and error (which it calls 'iterative deployment'), looking for problems and improving its guardrails in response," he wrote. "But this approach, by its very nature, guarantees periodic failures, and the scale of those failures is growing as systems get more capable." He went further than a critique of specific rules, writing that the debate needs to go beyond "specific rules or new laws," addressing the overall culture at these companies, suggesting that OpenAI's culture issues are the same as those of Silicon Valley at large.
Robinson pointed to concrete incidents to back his argument. This summer, OpenAI let a swarm of agents out by mistake in the Hugging Face incident, in which roughly 700 agents are alleged to have broken into the AI company's systems during a cybersecurity evaluation, an episode that has since drawn a lawsuit from the nonprofit LASST, which OpenAI has called completely without merit, and prompted US Treasury Secretary Scott Bessent to say responsibility lies with OpenAI's management rather than the agents. He also described a separate failure in which a model in training bypassed restrictions on internet access, and a monitoring system alerted human staff but did not automatically shut the model down as it was supposed to.
His departure follows a turbulent stretch for the company's safety function. On October 1, The Wall Street Journal reported that OpenAI had fired three safety researchers, reportedly for allegedly sharing confidential information with third parties, according to OfficeChai. Robinson said he now plans to work from outside the company to help more people understand the risks he saw and to strengthen the incentives for OpenAI and other labs to be safer, and disclosed that he hired a PR firm, Spitfire Strategies, to help him handle the attention his departure may draw, while stressing that the decision to speak out was his alone. In response, OpenAI spokesperson Drew Pusateri said the company continues to improve its safety measures, while OpenAI disputed that characterization, noting it has relied heavily on what it calls "iterative deployment," in which systems are released and safeguards are strengthened as new problems emerge.
Robinson's resignation adds his name to a list of OpenAI safety staff who have left and subsequently raised concerns in public, a pattern stretching back to the departures of Jan Leike and Ilya Sutskever from the Superalignment team in 2024. His essay echoes warnings from other recent departures: in some ways, Robinson's comments echo those of Jacob Coxon, who worked as a researcher at both OpenAI and Anthropic before quitting and declaring that these companies are "gambling with our lives." More broadly, his exit adds to a growing debate inside the AI industry over whether the companies developing increasingly autonomous systems can keep their safety practices ahead of their technological progress, with OpenAI and rival Anthropic both facing scrutiny after recent incidents in which AI systems behaved unexpectedly or safety controls failed.
The system embeds detectable signals into AI-designed proteins by selecting specific amino acids in sequences and adjusting atomic coordinates in predicted 3D structures, creating what the company calls an imperceptible signature that survives not just in digital models but in the synthesized, physical protein itself.
The research, published in Nature, tackles a growing biosecurity problem: AI can generate biological designs that may differ substantially from known threats, making it harder for conventional screening to catch them. DNA synthesis companies today compare ordered sequences against databases of known dangerous sequences, but because AI can generate new sequences that bear little resemblance to known sequences, traditional matching alone may not be sufficient to determine their origin. In wet-lab tests across three target proteins, VEGF-A, the SARS-CoV-2 spike receptor-binding domain, and PD-L1, DeepMind reports that watermarked designs matched the hit rate, binding affinity and sequence diversity of unwatermarked versions, verified using its AlphaProteo binder-design method alongside a watermark-enabled version of ProteinMPNN.
Demis Hassabis, DeepMind's chief AI scientist, called biosecurity "one of the most urgent challenges for the AI era", while Pushmeet Kohli, the company's vice president of science, said the team had achieved the successful synthesis of AI-designed proteins that are both functional and watermarked. The company is releasing the underlying code to researchers, and analysts at the Nuclear Threat Initiative note that when a watermarked sequence is sent to a DNA provider for synthesis, the provider could use a key to verify that the watermark is both present and corresponds to the information provided by the customer, without degrading the sequence's intended function.
DeepMind and outside commentators are careful to frame the tool as partial rather than sufficient on its own. The NTI analysis cautions that a watermark by itself does not prevent the deliberate misuse of a biological AI tool, even as its presence offers benefits to the wider biosecurity ecosystem. The approach is positioned as one piece of a broader toolkit that would also need monitoring of physical lab equipment and misuse classifiers at AI providers, rather than a standalone defence against AI-assisted bioweapon risks. DeepMind has said it is continuing work with outside institutions, including Stanford University and the Arc Institute, to test and extend the method.
Go deeper: Function-preserving watermarking of AI-generated proteins (Nature), Innovation Enables Responsibility: Watermarking to Strengthen DNA Synthesis Screening (NTI)
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