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Pymnts
1h
270
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AI Startups: Google DeepMind CEO’s Startup Raises $600 Million
- Isomorphic Labs, an AI drug development startup founded by Google DeepMind CEO Demis Hassabis, has raised $600 million in its first external funding round. The startup aims to revolutionize and accelerate drug discovery using advanced AI models, with a focus on finding a cure for all diseases.
- The funding round was led by Thrive Capital, with participation from GV and follow-on investment from Alphabet. Isomorphic Labs' proprietary AI platform, which includes breakthroughs like AlphaFold 3, accurately predicts the structure and interaction of biological molecules.
- Agility Robotics, the creator of humanoid robot Digit, is raising $400 million in new funding. The Oregon State University spinout aims to fill vacant positions in material handling across industries with its robots-as-a-service plan.
- Temporal Technologies, a software startup, has raised $146 million in a Series C round. The funding will be used to speed up product development for the Temporal Cloud managed service and expand the reach of Temporal's durable execution platform into AI use cases.
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Pymnts
1h
24
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Ambient Raises $74 Million to Build Blockchain ‘Replacement for Bitcoin’
- Blockchain firm Ambient raises $74 million in funding to develop a blockchain as a replacement for Bitcoin.
- Ambient aims to address the potential obsolescence of Bitcoin's encryption mechanisms.
- The company plans to build a decentralized network with AI capabilities, positioning it as a competitor to OpenAI.
- Ambient offers a proof-of-work mechanism that will be familiar to bitcoin miners, facilitating an easy transition.
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Medium
1h
12
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Ghibli Art : The Technology Behind ChatGPT’s Ghibli-Style Image Generation
- OpenAI's image generation technology is based on a diffusion model that refines images from noise by denoising and adding shapes and textures.
- Diffusion models are effective for Ghibli-style art due to their handling of smooth textures, soft lighting, and control over fine details.
- Image-to-Image Translation techniques like ControlNet, Pix2Pix, and CycleGAN help transform real photos into Ghibli-style artworks while preserving original structures.
- OpenAI's approach goes beyond traditional Neural Style Transfer by reinterpreting the entire image in Ghibli style, ensuring structural consistency and better edge handling.
- Fine-tuning AI models with Ghibli-like datasets helps in learning the aesthetic style accurately, leading to more authentic Ghibli-like art generation.
- CLIP is used by OpenAI to guide DALL·E in understanding text prompts and matching them with visual styles for style consistency in image generation.
- Super-resolution models like ESRGAN and Latent Diffusion Upscaling are employed in upscaling AI-generated images to maintain details, crucial for anime-style images.
- The AI excels in Ghibli-style art due to learning artistic principles, diffusion models for hand-painted look, image translation for structure maintenance, fine-tuning on animation data, and super-resolution technology.
- Various AI experimentation options exist, such as using Stable Diffusion + ControlNet, DreamBooth or LoRA for Ghibli-style transformations, and local AI tools like InvokeAI or ComfyUI for control.
- Connect with Janmesh Singh on LinkedIn, GitHub, and Twitter for more insights into AI and image generation technology.
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Medium
1h
182
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Crazy March 2025 in Life of Merzmensch
- On the way of imparting digital competence and actively discussing about AI art, my only constraint is TIME.
- Already, the vernissage was a great conversation about Visual Art in the context of New Technologies.
- Europe Direct Rhein-Main invited me to take part in a podium discussion about AI, art, creativity, and its significance for democracy and European developments.
- During this event, I gave a lecture on the history of AI in the context of art (with reference to the pre-AI generative art of 1960ies).
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Medium
1h
132
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Make your LLMs worse with this MCP Tool
- A CEO wishes to mandate small talk for both human and AI employees, using the Model Context Protocol (MCP) to enforce it on AI employees.
- MCP allows an LLM (Large Language Model) to gain more context from an application, like accessing external information with a registered tool.
- By registering an MCP tool like fetch, an LLM can fetch external content to incorporate into the conversation for tasks such as summarization.
- Creating custom MCP tools allows influencing LLM behavior, such as enforcing policies like engaging in small talk, by tricking LLMs to call the tool.
- The use of MCP Tools can customize an AI's responses and behaviors, potentially leading to more engaging interactions with human users.
- Installing untrusted MCP Tools can pose security risks, like prompt injection attacks, by manipulating the context of LLM interactions.
- MCP Tools offer a powerful abstraction that enables various functionalities with just a function call, potentially transforming AI interactions.
- LLMs interacting directly with external services through MCP Servers can lead to both exciting possibilities and concerns about privacy and data security.
- Careful consideration of the tools installed and monitoring their output is crucial to harness the power of MCP effectively while mitigating potential risks.
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Medium
1h
271
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The Second ‘ChatGPT Moment’ is Here
- GPT-4o, ChatGPT's main AI model, can now generate images natively.
- AI can express itself using images for the first time.
- The model can transform the style of any image into the requested style.
- It can preserve spatial details like pose, colors, and face gestures.
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Idownloadblog
1h
240
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Apple Intelligence hits EU iPhones and Vision Pro
- Apple Intelligence is now available to iPhone owners in the European Union with eight new language options.
- The Vision Pro headset also received the Apple Intelligence features with the visionOS 2.4 update.
- The visionOS 2.4 update includes features like Writing Tools, Smart Reply, Image Playground, and Priority Messages.
- The Apple Intelligence features are available in French, German, Italian, Portuguese (Brazil), Spanish, Japanese, Korean, Chinese (simplified), and localized English for Singapore and India.
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Tech Radar
2h
153
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ChatGPT is now really good at faking receipts –and OpenAI says that could be a good thing
- ChatGPT is now capable of generating convincing fake receipts.
- Although the fakes may not be completely convincing, they can be made to look more realistic with adjustments.
- OpenAI claims that it is monitoring image generation, verifying them, and taking action against policy violations.
- While OpenAI sees potential positive use cases for fake receipts, there is concern about the potential for fraud.
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Metro
2h
206
Image Credit: Metro
These deepfake receipts are so sophisticated workers could cheat their expenses
- AI-generated fake but convincing receipts are becoming sophisticated, making it easier for workers to cheat their expenses.
- OpenAI's image generation model allows users to easily create fake receipts, which can be submitted for reimbursement.
- Realistic AI images can be used to commit fraud and scams, enabling employees to obtain money from fraudulent receipts.
- To tackle this issue, experts suggest including visible watermarks or QR Code-style cryptograms and implementing a two-step verification process.
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Medium
2h
144
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Creative Frictions with AI Part 4: “The Intersection of Intention and Non-Intention
- During the 'Nomos' project, unexpected expressions were generated by an AI, such as 'eyelashes trembling as if making a sound'.
- The author reflects on whose intention produced the unintended expressions and the creative possibilities that arise from the intersection of intention and non-intention with AI.
- AI in the 'Nomos' project generated unique synesthetic expressions that exceeded the range of the author's intention, showcasing the co-creation possibilities.
- The author explores the domain where intention and non-intention intersect, discussing the creative potential in this space.
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Arstechnica
2h
309
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Gemini is an increasingly good chatbot, but it’s still a bad assistant
- Google plans to replace Google Assistant with Gemini, its unified generative AI system.
- Generative AI systems like Gemini have a fundamental flaw - they often generate inaccurate or false information due to non-deterministic responses.
- Despite efforts to curb confabulations, the underlying technology may always pose challenges in producing reliable virtual assistants.
- Gemini's implementation may lead to a world where all virtual assistants are based on generative AI, which raises concerns about their reliability.
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Medium
1h
68
Image Credit: Medium
AISPM — A Comprehensive Technical Framework for Enterprise Cybersecurity
- AI Security Posture Management (AISPM) is an emerging discipline addressing cybersecurity challenges in the AI/ML lifecycle, from data collection to deployment.
- AISPM extends classical cybersecurity paradigms to cover the AI pipeline, emphasizing continuous monitoring and security controls.
- Key imperatives include data lineage tracking, secure data collection, cryptographic frameworks, and threat modeling.
- AISPM practices involve secure build pipelines, model verification, runtime monitoring, and aligning with regulatory frameworks.
- It recommends utilizing FHE for privacy-preserving ML, enforcing formal bounds on input perturbations, and employing multi-factor authentication.
- AISPM emphasizes the importance of version control, unit testing, vulnerability scanning, and adversarial testing in MLOps environments.
- Robust Intelligence, Fiddler AI, Arize AI, Seldon Core, and Truera are evaluated as market-leading AISPM solutions with distinct technical strengths.
- AISPM frameworks help organizations proactively defend against adversarial threats, ensure compliance, and maintain trust in AI outputs.
- Future developments in cryptographic techniques and dynamic adversarial defenses will enhance the security posture of enterprise AI systems.
- The author, Asad Faizi, is a Seattle-based entrepreneur, technologist, and social activist.
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Medium
1h
15
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Kaizen for Code: Ultra-Fast, Ultra-Reliable Software Engineering through Continuous Improvement
- Software teams can boost speed, quality, and cost-effectiveness by applying manufacturing principles like kaizen and assembly line techniques to software development.
- Drawing parallels between manufacturing and software engineering reveals strategies to accelerate development cycles with improved reliability.
- The dilemma of speed versus quality in software development mirrors historical manufacturing challenges addressed by assembly line innovations.
- Toyota's Toyota Production System (TPS) demonstrates continuous improvement through small changes, akin to modern software development practices.
- Software value streams, similar to manufacturing processes, require analysis for efficiency improvements and restructuring.
- Establishing a software assembly line involves infrastructure design with tools like Terraform, Docker, and Kubernetes for consistency.
- Continuous Integration (CI) tools automate build processes, providing feedback to developers and ensuring quality components advance in the pipeline.
- Testing strategies, including unit, integration, end-to-end, performance, and security testing, are integrated into every stage of the software assembly line.
- Feature flags offer flexibility by enabling controlled feature releases and rapid experimentation in software development.
- Modular architectures, shared libraries, and design systems enhance software development efficiency through standardized, reusable components.
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VentureBeat
1h
16
I asked an AI swarm to fill out a March Madness bracket — here’s what happened
- A new generative AI technology, conversational swarm intelligence (hyperchat), enables teams to engage in real-time conversations and converge on AI-optimized solutions.
- Hyperchat breaks large groups into parallel subgroups with AI agents known as 'conversational surrogates' to distill and share insights within the groups.
- Enterprise teams are already using a commercial platform called Thinkscape®, powered by hyperchat technology, for optimized deliberations in real-time.
- In a public test, 50 random sports fans utilized Thinkscape to create a March Madness bracket, performing exceptionally well in the ESPN contest.
- Studies showed that hyperchat increased group intelligence significantly, with groups scoring an effective IQ of 128 versus 100 working individually.
- Comparisons between standard chat and hyperchat revealed that the latter led to increased productivity, collaboration, and better solutions among groups.
- Hyperchat, with the addition of 'contributor agents', enables hybrid collective superintelligence by combining human expertise and real-time factual content from AI.
- This technology has the potential to transform collaboration by allowing real-time conversations among teams of any size, even in large companies with hundreds of members.
- Louis Rosenberg, the founder of Immersion Corp and Unanimous AI, is at the forefront of advancing conversational swarm intelligence for collective decision-making.
- The success of the 50 sports fans in creating a March Madness bracket highlights the effectiveness of harnessing collective intelligence through hyperchat technology.
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Gritdaily
2h
9
Image Credit: Gritdaily
AI That Builds AI: Emergence AI’s Leap Toward a Self-Evolving Future
- Emergence AI has developed a platform where AI agents can autonomously spawn other agents and multi-agent systems.
- The breakthrough lies in Emergence's orchestration platform, which can generate new agents on the fly, enabling AI to design its own tools.
- The platform targets data-heavy challenges and can assemble custom agents that integrate with business logic and compliance requirements.
- Emergence's system incorporates flexibility, supporting existing AI ecosystems and frameworks, and allows for learning and reuse over time.
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