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AI News
Medium
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266
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ChatGPT’s Memory Feature: A Game-Changer for Personalized AI Conversations
- OpenAI introduces the Memory feature in ChatGPT, allowing AI to retain information from past interactions for personalized responses.
- The Memory feature enhances conversations by remembering details like names, preferences, and past topics, making interactions more context-aware.
- The feature is available to Pro and Plus subscribers, with gradual rollouts for Team, Enterprise, and Education users. Free-tier users may see limited access.
- While offering personalized and efficient AI interactions, users should be mindful of privacy implications and manage settings accordingly.
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Medium
2d
373
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Prompt Engineering Is Dead, Why AI Prompt Systems Are the Future
- AI prompt systems are seen as the future because the traditional approach of simply inserting prompts for AI lacks consistency and leads to frustration.
- The concept of prompt systems transforms AI from a tool into a thinking partner by setting expectations, defining roles, and establishing a collaborative system.
- By creating specific job descriptions for AI roles, defining workflows, and using quality filters, AI can deliver more tailored and original results over time.
- Architecting systems for AI collaboration not only enhances AI performance but also forces individuals to clarify their own goals, decision-making processes, and desired outcomes.
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Medium
2d
206
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Project 2 — 2: How My Kids Invented Characters with ChatGPT: A Cross-Subject Summer Projec
- A summer project involved kids creating characters with ChatGPT's help.
- ChatGPT assisted in explaining DNA, character traits, and emotional character design.
- Kids enjoyed creating characters in different styles and learned about identity representation.
- They struggled with AI-generated characters but found success when providing clear prompts.
- The project ended with kids designing their characters based on their secrets.
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Medium
2d
132
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Biology Doesn’t Play Fair: Why AI Alone Won’t Save Drug Discovery
- Biology is complex and doesn't follow linear patterns, rendering AI-driven drug discovery challenging.
- AI models optimized for correlation rather than causation can lead to failure in wet lab experiments and patient harm.
- Modern biomedicine requires understanding the entangled and multi-layered nature of diseases, moving away from oversimplified models.
- The future lies in embedding AI within biological logic, validated through causal systems, and acknowledging the complexity of biological systems.
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Medium
2d
374
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GPT-5 Drops in July 2025 — Are You Ready for What’s Next?
- GPT-5 is set to be released in July 2025, promising to be more humanlike, context-aware, multimodal, and fast.
- The evolution from GPT-3 to GPT-5 signifies a significant shift in how AI tools impact work, writing, creativity, and thinking processes.
- Anticipated benefits of GPT-5 include personalized content creation at scale, quick creative brainstorming, enhanced voice-driven search optimization, and AI tools that reflect individual style.
- The focus should be on embracing and adapting to the advancements in AI, as they are meant to enhance and elevate current capabilities rather than replace human roles.
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TechCrunch
2d
264
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Rwazi raises $12M Series A to help companies with consumer insights and intelligence
- Rwazi, a startup founded in 2021 by Joseph Rutakanga and Eric Sewankambo, has raised $12 million in a Series A funding round led by Bonfire Ventures to help companies with market intelligence and consumer insights.
- Rutakanga identified a lack of usable consumer and market-level data in international markets like India, Brazil, Mexico, Japan, Turkey, and China, leading to the development of an AI-powered intelligence software system based on zero-party data voluntarily shared by consumers in real time.
- The funding will be used to scale AI technology, hire more engineers, and expand infrastructure for capturing consumer data from 190 countries. Rwazi's clients include major companies like Coca-Cola, Pampers, Visa, and Nestle.
- Rwazi faces competition from companies like GFK and Ipsos but differentiates itself by providing real-time insights and actionable intelligence without relying on modeled or inferred data.
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Dev
2d
54
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Agent Mode With Third-Party Models in Copilot
- GitHub Copilot users can incorporate third-party AI models like Claude, GPT-4, or Grok in Copilot's Agent Mode.
- A workaround involves creating a local proxy chain to maintain tool calling capabilities while using models through OpenRouter.
- An open-source project, copilot-ollama, simplifies setting up the proxy to enable full Agent Mode functionality with third-party models.
- Customization options are available for selecting and configuring different AI models, offering cost-efficient access to cutting-edge capabilities.
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Hackernoon
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132
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Meet Mend.io: HackerNoon Company of the Week
- Mend.io is HackerNoon's Company of the Week, offering an AI native application security platform.
- Mend.io, based in Boston, Massachusetts, provides tools for building a mature, proactive AppSec program.
- Mend.io's platform secures AI-generated code, automates compliance, and provides an enterprise-scale view of risks.
- Mend.io has partnered with HackerNoon for business blogging and boasts impressive integrations with tools like Cursor and Microsoft Defender for Cloud.
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Dev
2d
369
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🚀 Decode Any Codebase Visually: Introducing *NeuroCode Flow*
- NeuroCode Flow is a free tool designed to visually map out and navigate codebases like a GPS for developers.
- Features of NeuroCode Flow include automatically mapping out the codebase, visualizing file and function connections, aiding in understanding project architecture, and speeding up tasks like onboarding, debugging, and refactoring.
- It is particularly useful for developers working with large or legacy codebases, collaborating in teams, improving documentation efficiently, and streamlining code navigation.
- NeuroCode Flow offers easy setup, allowing users to plug in their code and start exploring visually, compatible with various frameworks and languages.
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Geeky-Gadgets
2d
136
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Context Engineering : Unlock the Secret to Smarter Project Management with Claude AI
- Context engineering is a new approach that reshapes project management by systematically structuring project context and optimizing AI systems.
- It eliminates inefficiencies, reduces miscommunication, and ensures AI tools deliver consistent results, emphasizing the criticality of data in driving project success.
- The methodology empowers teams to build adaptable systems, addressing challenges like inefficiencies and knowledge gaps.
- Context engineering involves a structured approach focusing on three critical areas: organizing information effectively, enabling AI precision, and maintaining project adaptability.
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Global Fintech Series
2d
353
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Nitrogen Launches AI Meeting Center to Revolutionize Advisor Productivity
- Nitrogen has launched AI Meeting Center, an AI-powered tool integrated within its platform to streamline meeting documentation and enhance advisor productivity.
- AI Meeting Center transcribes advisor-client conversations, generates real-time meeting summaries, and provides CRM-ready notes within Nitrogen's secure infrastructure.
- Key features include real-time meeting summaries, CRM-ready notes, fully native integration, and enterprise-grade security.
- The product offers a frictionless path to AI adoption, without compromising data security, and will be officially unveiled during Nitrogen's August Product Launch Event.
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Hitconsultant
2d
36
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Elsevier’s Clinician of the Future 2025 Report: AI’s Rapid Ascent in Healthcare Amidst Clinician Pressures
- Elsevier's Clinician of the Future 2025 Report shows AI's rapid rise in healthcare.
- Clinicians face challenges like time constraints, increasing patient load, and medical misinformation.
- AI tools usage has doubled, with clinicians perceiving benefits in saving time and empowering.
- Expectations include AI saving time, faster diagnoses, and improved patient outcomes.
- Regional differences in AI perception and use exist, with varying attitudes and adoption rates.
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TechDigest
2d
27
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WeTransfer clarifies AI stance after user backlash
- WeTransfer faced backlash after users misinterpreted updated terms of service as allowing their content to be used for AI training.
- A spokesperson clarified that WeTransfer does not use AI to process shared content or sell data to third parties.
- The company quickly revised its terms to ease concerns about content usage and emphasize a royalty-free license to use content.
- This incident reflects a wider trend of user unease over data handling by tech companies, similar to past controversies with platforms like Dropbox.
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1 Like
Global Fintech Series
2d
493
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Unicaja Partners with DXC to Drive AI-Powered Transformation of Banking Operations
- DXC Technology partners with Unicaja in a 10-year agreement to modernize its banking operations using advanced technologies like AI.
- The partnership aims to enhance automation, agility, and customer interactions to boost efficiency and productivity.
- Unicaja plans to accelerate innovation, improve customer service, ensure product personalization, and comply with evolving regulations through this collaboration.
- DXC's acquisition of FK2 and the formation of a specialized team aim to further support Unicaja's transformation into an AI-driven bank.
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9 Likes
TechCrunch
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280
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ParadeDB takes on Elasticsearch as interest in Postgres explodes amid AI boom
- Postgres, an open source database management system nearly 40 years old, is experiencing a surge in demand for AI applications, despite limited search and analytics capabilities.
- ParadeDB, an open source Postgres extension, aims to address the search and analytics limitations within Postgres by enabling full-text search and analytics directly within the database.
- Founded in 2023, ParadeDB focuses on enhancing the search functionalities of Postgres without the need to transfer data to separate sources, unlike Elasticsearch.
- Recently securing a $12 million Series A funding round, ParadeDB plans to use the capital to expand its team, improve user interface, and strengthen analytics capabilities to cater to enterprise clients.
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