TBC mischief 1 generates video 5x faster than its base model and is the lowest-priced image-to-video model on two leading AI marketplaces

SAN FRANCISCO, Oct. 30, 2026 /PRNewswire/ — The Biological Computing Co. (TBC), an applied biological computing company that uses living neurons to improve AI models, today launched TBC mischief 1, an AI video model that generates video 5x faster than its base model. Available on fal and OpenRouter, mischief 1 is the lowest-priced image-to-video model on both marketplaces, enabling video creators and developers to experiment with more ideas, faster and for less.

The launch marks a major step in bringing discoveries from living neurons into commercial AI. mischief 1 is faster and cheaper because of efficiencies TBC discovered in living neurons and applied directly to the model. Just five weeks after announcing its collaboration with Amazon Web Services (AWS) to bring the model to enterprise customers, TBC is extending access to creators and developers through fal and OpenRouter.

Built for how creators actually work

At half a cent per second, a five-second clip costs 2.5 cents, and 100 clips cost $2.50. Creators can test more ideas, compare takes and refine their work within the same budget. For developers, lower generation costs make it easier to build video into products that people can afford to use repeatedly.

Wonder Studios, an AI-native creative studio, tested mischief 1 in its own production workflow.

“Great storytelling comes from refining an idea until it’s right, and that’s usually the crunch point for time and budget. mischief 1’s speed and cost-effectiveness meant we could push the work much further within the same time and more cost effectively,” said Justin Hackney, co-founder of Wonder Studios. “That kind of efficiency gives creatives more time for the craft and lets them stay in the flow of an idea. As this approach reaches more advanced models, it could reshape how films and commercials are made, with faster, more efficient generation that finally keeps pace with imagination.”

A new source of AI efficiency

Built on Wan 2.2, a widely used open-weight video model, mischief 1 matches its quality while generating video 5x faster and at a fraction of the cost.

“We said we would take discoveries from living neurons all the way to a product anyone can use, and we did it faster than anyone expected,” said Alex Ksendzovsky, CEO and co-founder of TBC. “Behind this model is a discovery platform that keeps learning. Every experiment adds to our understanding of how neurons compute and gives us new opportunities to improve AI. Video is our first commercial application. We’re already working to bring those discoveries to language and physical AI, with the goal of building more capable models without simply adding more compute.”

TBC’s discovery platform grows living neurons in the lab, measures how they process information and identifies computational principles that can improve AI. Those discoveries become proprietary software that makes existing models more efficient. The neurons stay in the lab. Customers use software that runs on standard AI hardware and adds less than 0.1% to the base model’s parameter count.

TBC is already applying its discovery process to newer open-weight video models, with early results showing greater efficiency gains. Additional applications in language models and physical AI are in development.

“Our first model shows what happens when we learn from biology instead of relying on conventional inference optimization alone,” said Jon Pomeraniec, co-founder and COO of TBC. “mischief 1 is our first commercial proof point. The larger opportunity is to apply these discoveries across models and workloads. We’re building a platform that can change the economics of AI at scale.”

Most efficiency gains in AI today come from a shared set of industry techniques, such as quantization, distillation and caching. TBC’s optimizations come from a different source: direct measurements of living neurons. They are derived from biology, not just inspired by it, which makes them hard to replicate.

Availability

TBC mischief 1 is live on fal at https://fal.ai/models/TBC/mischief-1/image-to-video and OpenRouter at https://openrouter.ai/tbc/mischief-1 starting October 30 to mark Mischief Night. Learn more at tbc.co.

About The Biological Computing Co. (TBC)

The Biological Computing Co (TBC) is an applied biological computing company that uses living neurons to improve AI models. TBC makes intelligence radically more efficient by learning from biology. Discoveries in living neurons improve AI models that run on the silicon customers already use. Customers get better AI without changing their infrastructure. Headquartered in San Francisco, TBC is a fast-growing team of neuroscientists, biologists, AI researchers and engineers redefining how the world computes.

Media Contact:

tbc@hoffman.com

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SOURCE The Biological Computing Co.

SANTA CLARA, Calif., Oct. 30, 2026 /PRNewswire/ — Palo Alto Networks (NASDAQ: PANW), the global AI cybersecurity leader, announced today that it has received notice of an unsolicited “mini-tender” offer from Tutanota LLC (“Tutanota”) to purchase up to 250,000 shares of Palo Alto Networks’ common stock at a price of $450.00 per share in cash. The offer represents approximately 0.03% of Palo Alto Networks’ outstanding common stock.

Palo Alto Networks does not endorse Tutanota’s unsolicited mini-tender offer and is not affiliated or associated in any way with Tutanota, its mini-tender offer, or the offer documents.

The offer price of $450.00 per share is conditioned upon, among other things, the closing price per share of Palo Alto Networks’ common stock exceeding $450.00 per share on the last trading day before the offer expires. This means that, unless this condition is waived by Tutanota, Palo Alto Networks stockholders who tender their shares in the offer will receive a below-market price. Tutanota can extend the offer for successive periods of 45 to 180 days, in which case payment would be delayed beyond the scheduled expiration. Stockholders who have already tendered their shares may withdraw them at any time by providing notice in the manner described in the Tutanota offer documents prior to the expiration of the offer, which is currently scheduled for 5:00 p.m. ET, on Monday, November 2, 2026, unless extended.

As Tutanota’s mini-tender offer is for less than 5% of Palo Alto Networks’ outstanding shares of common stock, it is not subject to many of the disclosure and procedural requirements of Securities and Exchange Commission (“SEC”) rules that are designed to protect investors. The SEC has cautioned investors about mini-tender offers, noting that “some bidders make mini-tender offers at below-market prices, hoping that they will catch investors off guard if the investors do not compare the offer price to the current market price.” The SEC’s cautionary advice to investors regarding these offers is on its website at: https://www.sec.gov/investor/pubs/minitend.htm. 

Stockholders should obtain current market quotations for their shares, consult with their broker or financial advisor, and exercise caution with respect to Tutanota’s mini-tender offer.

Palo Alto Networks encourages brokers and dealers, as well as other market participants, to review the SEC’s letter regarding broker-dealer mini-tender offer dissemination and disclosures at https://www.sec.gov/divisions/marketreg/minitenders/sia072401.htm. 

Palo Alto Networks requests that a copy of this press release be included with all distributions of materials relating to Tutanota’s mini-tender offer for shares of Palo Alto Networks’ common stock.

About Palo Alto Networks

Palo Alto Networks® (NASDAQ: PANW), the global AI cybersecurity leader, protects our digital way of life with a comprehensive portfolio of cybersecurity solutions and platforms across Network, Cloud, Security Operations, AI and Identity. Trusted by 75,000+ customers and powered by Unit 42® threat intelligence, our AI-driven platforms eliminate complexity, empowering enterprises to modernize with confidence and securing the speed of innovation. Explore the future of security at www.paloaltonetworks.com.

Palo Alto Networks and the Palo Alto Networks logo are trademarks of Palo Alto Networks, Inc. in the United States or in certain jurisdictions throughout the world. All other trademarks, trade names, or service marks used or mentioned herein belong to their respective owners. Any unreleased services or features (and any services or features not generally available to customers) referenced in this or other press releases or public statements are not currently available (or are not yet generally available to customers) and may not be delivered when expected or at all. Customers who purchase Palo Alto Networks applications should make their purchase decisions based on services and features currently generally available.

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SOURCE Palo Alto Networks, Inc.

Kelly Hermann presented sessions on governance, documentation and institutional strategies that support equitable learning experiences

PHOENIX, Oct. 30, 2026 /PRNewswire/ — Kelly Hermann, vice president of Accessibility and Student Affairs at University of Phoenix, recently presented two sessions at the WCET Annual Conference, sharing strategies and lessons learned to help higher education institutions strengthen digital learning practices and support equal access for learners.

WCET, the WICHE Cooperative for Educational Technologies, focuses on the practice, policy and advocacy of digital learning in higher education. The three-day conference, held Oct. 14-16, brought together higher education professionals to share advances in digital learning practices and explore emerging policy challenges facing colleges, universities and other organizations.

Building sustainable digital learning practices

Hermann co-presented the preconference workshop, “Making Accessibility Defensible: What to Document and Why,” which explored sustainable practices for supporting students with disabilities across digital learning environments, course materials and support services.

The session examined approaches for building and maintaining programs that support governance, audit readiness and consistent decision-making. Attendees discussed common forms of documentation institutions use to support accessibility efforts, including Voluntary Product Accessibility Templates (VPATs), procurement records, review workflows, remediation plans, compliance plans and institutional policies. The workshop also offered practical guidance for integrating accessibility evidence and documentation into instructional design and digital learning operations.

“Accessibility is an ongoing commitment that requires institutions to pair sustainable practices with collaboration across academic, instructional design and technology teams,” said Hermann. “These sessions provided an opportunity to share lessons learned and practical approaches that can help institutions strengthen accessibility efforts while supporting the needs of all learners.”

Lessons learned from cross-functional collaboration

Hermann also co-presented the session, “Accessibility: Lessons Learned and Experiences Shared,” which highlighted the work of cross-functional teams supporting accessibility initiatives at higher education institutions.

The session encouraged participants to exchange experiences, discuss challenges and explore strategies for ensuring digital content can be accessed by all users. Discussions also examined lessons learned through accessibility initiatives and opportunities for continued collaboration to support accessibility efforts across the higher education digital learning community.

Supporting equitable learning experiences

The presentations reflected ongoing efforts across higher education to strengthen practices that support equitable access to educational content, digital learning environments and student services. Through her presentations, Hermann shared approaches institutions can use to support governance, cross-functional collaboration and continuous improvement efforts that benefit learners.

About Kelly Hermann

As vice president of Accessibility and Student Affairs University of Phoenix, Hermann oversees the University’s accessibility initiatives, including the evaluation and remediation of curricular resources, the Center for Access, Resources, Engagement and Support Services (CARES), and the Office of Collaborative Learning and Educational Engagement. Her leadership supports efforts to foster a welcoming educational environment for students, faculty and staff.

Hermann’s leadership in accessibility and inclusive learning is broadly recognized throughout the education technology community. She co-authored a chapter on accessibility in Leading the eLearning Transformation of Higher Education and has contributed to publications and resources developed by Anthology, D2L, WCET and the Online Learning Consortium, as well as other leading educational publications. Hermann has also received global recognition as a 1EdTech Leader for her work in creating open, trusted, and innovative digital ecosystems that power learner potential.  

Hermann is a key member of University of Phoenix’s dynamic leadership team, frequently invited to share their expertise at prestigious national conferences and events. In 2026, University leaders will participate in the ASU + GSV Summit, 1EdTech Learning Impact Conference, SXSW EDU Conference, and PESC Data Summit. These engagements underscore the University’s commitment to innovation and thought leadership in higher education, providing valuable insights and fostering collaborations that drive the future of learning.

About University of Phoenix

University of Phoenix is Built for Real Life. 50 Years Strong. The University innovates to help working adults enhance their careers and develop skills in a rapidly changing world through flexible online learning, relevant courses, academic AI pillars, and skills-mapped curriculum for associate, bachelor’s and master’s degree programs. Active students and alumni have access to Career Services for Life® resources including career guidance and tools. For more information, visit phoenix.edu.

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SOURCE University of Phoenix