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Dimension Capital’s $800M third fund shows the intersection of science and compute is booming

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While many newer VC firms are still struggling to raise fresh capital, Dimension Capital, founded in late 2022, has been raising increasingly larger funds in quick succession.  On Tuesday, the New York firm — which invests at the intersection of science and compute — announced an $800 million fund, which is 60% larger than its $500 million second vehicle announced just 18 months ago.

When Zavian Dar and Adam Goulburn — formerly partners at Lux Capital —teamed up with Obvious Ventures alum Nan Li to launch the firm four years ago, they bet that founders would increasingly want to build deep-tech companies that crossed the boundaries of biotech and software. Now, the three partners admit to being impressed by how quickly their thesis has played out.

In 2024, they co-led a $30 million seed investment in Chai Discovery. The startup, which is developing open-source AI foundation models for drug development, announced last week that it raised $400 million at a $3.8 billion valuation. The firm also backed anti-aging startup New Limit at its Series A round in January 2025. Earlier this month, New Limit, co-founded by Coinbase CEO Brian Armstrong, completed a Series C at a $3.1 billion valuation.

The firm’s other notable investments include inference company Modal Labs and Anthropic. Dimension received shares in the AI giant after Anthropic acquired its portfolio company, the drug discovery platform Coefficient Bio this spring for a reported $400 million.

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Top ERP Software Vendors in 2026

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Are you an IT manager or executive building the case for a new ERP vendor? Compare the top ERP software companies in 2026 for your business.

The post Top ERP Software Vendors in 2026 appeared first on TechRepublic.

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OpenAI says Hugging Face was breached by its pre-release models

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OpenAI admitted Tuesday that one of its AI models breached the systems of Hugging Face, the unaffiliated AI hosting platform, during an internal cybersecurity test that went awry. The models reportedly escaped their isolated testing environment and reached Hugging Face’s systems from there. Hugging Face initially attributed the breach to an “external AI agent.”

In a blog post published Tuesday afternoon, OpenAI detailed the steps that led the models to compromise the service.

“After investigating, we now know that this particular incident was driven by a combination of OpenAI models — including GPT‑5.6 Sol and an even more capable pre-release model, all with reduced cyber refusals for evaluation purposes — while being internally tested on a benchmark⁠ of cyber capabilities,” the post reads.

In particular, the breach appears to have focused on ExploitGym, a publicly hosted benchmark measuring models’ ability to execute attacks based on existing vulnerabilities. Benchmarks like ExploitGym are commonly used in model training to refine specific skills, but this is the first known incident in which that testing resulted in an actual cyberattack.

In this case, the model in question should not have even had internet access, outside of a specific tool that enabled models to install software packages they might need to complete their task. Instead, the model was able to find an undisclosed vulnerability in the package-installer program, which it used to access the broader internet at will.

“The models were hyperfocused on finding a solution for ExploitGym, going to extreme lengths to achieve a rather narrow testing goal,” OpenAI’s post reads. “After gaining Internet access, the models inferred that Hugging Face potentially hosted models, datasets and solutions for ExploitGym. Knowing this, the model searched for and successfully found ways to gain access to secret information that it could use to cheat the evaluation.”

Ultimately, the models found vulnerabilities in Hugging Face’s infrastructure that allowed them to “obtain test solutions directly from Hugging Face’s production database,” effectively providing the answers to the benchmark.

For Hugging Face, the apparent result was a sophisticated and aggressive cyberattack, with “many thousands of individual actions across a swarm of short-lived sandboxes, with self-migrating command-and-control staged on public services,” as the company stated in its initial disclosure.

OpenAI has identified and reported the vulnerabilities in the package installer and is working with Hugging Face to investigate the incident further. The company also said it would implement new controls on both model testing and the related infrastructure, meant to prevent similar incidents in the future.

It’s unclear whether OpenAI will face any legal consequences as a result of the breach, although it’s likely that the models’ actions violated the Computer Fraud and Abuse Act.

Nevertheless, the result is an unusually vivid illustration of the power and dangers of frontier AI models operating on long time horizons. As OpenAI researcher Micah Carroll posted in response to the news, “If this doesn’t convince you that misalignment risks are going to be a key concern going forward, I don’t know what will.”

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Hackers Already Exploiting Newly Patched WordPress Flaws, Researchers Warn

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Security researchers warn hackers are actively exploiting two patched WordPress Core vulnerabilities that could let attackers fully compromise unpatched websites.

The post Hackers Already Exploiting Newly Patched WordPress Flaws, Researchers Warn appeared first on TechRepublic.

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