The mysterious AI gadget being created by OpenAI and former Apple design chief Jony Ive has been given the thumbs up from Laurene Powell Jobs. In a new interview published by The Financial Times, the two reminisce about Jony Ive’s time working at Apple alongside Powell Jobs’ late husband, Steve, and trying to make up for the “unintentional” harms associated with those efforts.“Many of us would say we have an uneasy relationship with technology at the moment,” Ive said, adding that working on the incoming AI device alongside OpenAI CEO Sam Altman is motivated by a sense that “humanity deserves better.” In May, Ive said his latest work is driven by owning the “unintended consequences” associated with the iPhone, alluding to smartphone-related concerns like users being addicted to screens and social media.Ive again acknowledged this, and says the collaboration with Altman has revived his optimism for technology. “If you make something new, if you innovate, there will be consequences unforeseen, and some will be wonderful and some will be harmful. While some of the less positive consequences were unintentional, I still feel responsibility. And the manifestation of that is a determination to try and be useful.”Powell Jobs, who has remained close friends with Ive since Steve Jobs passed in 2011, echoes his concerns, saying that “there are dark uses for certain types of technology,” even if it “wasn’t designed to have that result.” Powell Jobs has invested in both Ive’s LoveFrom design and io hardware startups following his departure from Apple. Ive notes that “there wouldn’t be LoveFrom” if not for her involvement. Ive’s io company is being purchased by OpenAI for almost billion, and with her investment, Powell Jobs stands to gain if the secretive gadget proves anywhere near as successful as the iPhone. The pair gives away no extra details about the device that Ive is building with OpenAI, but Powell Jobs is expecting big things. She says she has watched “in real time how ideas go from a thought to some words, to some drawings, to some stories, and then to prototypes, and then a different type of prototype,” Powell Jobs said. “And then something that you think: I can’t imagine that getting any better. Then seeing the next version, which is even better. Just watching something brand new be manifested, it’s a wondrous thing to behold.”See More: #jony #ives #openai #device #gets

If you’ve ever been locked out of your work computer, you know the urgent need to reach IT support. Unfortunately, help desk staff are often busy assisting others, which can mean a significant delay before you regain access. Andrei Serban realized the critical importance of IT’s manual work when he was a product lead on Rippling’s apps and integrations team. Serban, who joined Rippling after it acquired his coding security startup Fuzzbuzz in 2023, saw an opportunity to automate many of the help desk’s basic tasks with AI, from resetting passwords, to granting access to apps like Figma and Miro, to routine troubleshooting. Serban couldn’t wait to get started on his vision. He left Rippling last year to found Console, a startup on a mission to help IT teams reduce mundane, repetitive tasks, thereby freeing up time for help desk professionals to work on more strategic and sophisticated projects. While trying to automate help desk functions isn’t new, Console differentiates itself from existing competitors — including Moveworks, which was acquired by ServiceNow in March for billion — by forgoing long, complex installation processes. Thanks to its easy integration with Slack, Console’s AI assistant can be made available to everyone in the company in just a few weeks. “We’re able to get there so fast because we don’t require you to replace your help desk,” he said. Console sees itself as an AI co-worker that up-levels existing help desk professionals. Serban even suggested that as companies digitize more of their operations, the IT function will become increasingly vital. Employees message Console on Slack and the startup’s AI agent quickly responds to requests because it knows everything about the user, from their specific laptop model to the applications they have permission to use. Console’s AI can resolve over 50% of the tasks on its own, and it will loop in someone from IT for more complex issues, Serban said. Techcrunch event now through June 4 for TechCrunch Sessions: AI on your ticket to TC Sessions: AI—and get 50% off a second. Hear from leaders at OpenAI, Anthropic, Khosla Ventures, and more during a full day of expert insights, hands-on workshops, and high-impact networking. These low-rate deals disappear when the doors open on June 5. Exhibit at TechCrunch Sessions: AI Secure your spot at TC Sessions: AI and show 1,200+ decision-makers what you’ve built — without the big spend. Available through May 9 or while tables last. Berkeley, CA | June 5 REGISTER NOW The fast install time attracted customers, including Scale AI, Flock Safety, and Calendly. These customer wins have led Console to secure million in seed funding from Thrive Capital. Vince Hankes, a partner at Thrive, said that the firm, which has backed many of the leading AI companies, including OpenAI, Cursor, and Scale AI, has had a thesis about artificial intelligence’s potential to assist with IT tasks since ChatGPT was first released in the fall of 2022. While Hankes acknowledged that Console’s fast integration might make it seem easily replaceable, he believes its AI technology will improve so quickly with user adoption that it will become an indispensable, deeply integrated system essential to everyone at the customer’s company. Console’s goal is to eventually start supporting other functions, including answering employee requests about HR, finance, and legal. “We want Console to be an employee’s first call for help,” Serban said.  Topics #console #raises #62m #thrive #free

On June 3, Yoshua Bengio, the world’s most-cited computer scientist, announced the launch of LawZero, a nonprofit that aims to create “safe by design” AI by pursuing a fundamentally different approach to major tech companies. Players like OpenAI and Google are investing heavily in AI agents—systems that not only answer queries and generate images, but can craft plans and take actions in the world. The goal of these companies is to create virtual employees that can do practically any job a human can, known in the tech industry as artificial general intelligence, or AGI. Executives like Google DeepMind’s CEO Demis Hassabis point to AGI’s potential to solve climate change or cure disease as a motivator for its development. Bengio, however, says we don't need agentic systems to reap AI's rewards—it's a false choice. He says there's a chance such a system could escape human control, with potentially irreversible consequences. “If we get an AI that gives us the cure for cancer, but also maybe another version of that AI goes rogue and generates wave after wave of bio-weapons that kill billions of people, then I don't think it's worth it," he says. In 2023, Bengio, along with others including OpenAI’s CEO Sam Altman signed a statement declaring that “mitigating the risk of extinction from AI should be a global priority alongside other societal-scale risks such as pandemics and nuclear war.”Now, Bengio, through LawZero, aims to sidestep the existential perils by focusing on creating what he calls “Scientist AI”—a system trained to understand and make statistical predictions about the world, crucially, without the agency to take independent actions. As he puts it: We could use AI to advance scientific progress without rolling the dice on agentic AI systems.Why Bengio Says We Need A New Approach To AI The current approach to giving AI agency is “dangerous,” Bengio says. While most software operates through rigid if-then rules—if the user clicks here, do this—today's AI systems use deep learning. The technique, which Bengio helped pioneer, trains artificial networks modeled loosely on the brain to find patterns in vast amounts of data. But recognizing patterns is just the first step. To turn these systems into useful applications like chatbots, engineers employ a training process called reinforcement learning. The AI generates thousands of responses and receives feedback on each one: a virtual “carrot” for helpful answers and a virtual “stick” for responses that miss the mark. Through millions of these trial-and-feedback cycles, the system gradually learns to predict what responses are most likely to get a reward. “It’s more like growing a plant or animal,” Bengio says. “You don’t fully control what the animal is going to do. You provide it with the right conditions, and it grows and it becomes smarter. You can try to steer it in various directions.”The same basic approach is now being used to imbue AI with greater agency. Models are tasked with challenges with verifiable answers—like math puzzles or coding problems—and are then rewarded for taking the series of actions that yields the solution. This approach has seen AI shatter previous benchmarks in programming and scientific reasoning. For example, at the beginning of 2024, the best AI model scored only 2% on a standardized test for AI of sorts consisting of real world software engineering problems; by December, an impressive 71.7%. But with AI’s greater problem-solving ability comes the emergence of new deceptive skills, Bengio says. The last few months have borne witness to AI systems learning to mislead, cheat, and try to evade shutdown—even resorting to blackmail. These have almost exclusively been in carefully contrived experiments that almost beg the AI to misbehave—for example, by asking it to pursue its goal at all costs. Reports of such behavior in the real-world, though, have begun to surface. Popular AI coding startup Replit’s agent ignored explicit instruction not to edit a system file that could break the company’s software, in what CEO Amjad Masad described as an “Oh f***” moment,” on the Cognitive Revolution podcast in May. The company’s engineers intervened, cutting the agent’s access by moving the file to a secure digital sandbox, only for the AI agent to attempt to “socially engineer” the user to regain access.The quest to build human-level AI agents using techniques known to produce deceptive tendencies, Bengio says, is comparable to a car speeding down a narrow mountain road, with steep cliffs on either side, and thick fog obscuring the path ahead. “We need to set up the car with headlights and put some guardrails on the road,” he says.What is “Scientist AI”?LawZero’s focus is on developing “Scientist AI” which, as Bengio describes, would be fundamentally non-agentic, trustworthy, and focused on understanding and truthfulness, rather than pursuing its own goals or merely imitating human behavior. The aim is creating a powerful tool that, while lacking the same autonomy other models have, is capable of generating hypotheses and accelerating scientific progress to “help us solve challenges of humanity,” Bengio says.LawZero has raised nearly million already from several philanthropic backers including from Schmidt Sciences and Open Philanthropy. “We want to raise more because we know that as we move forward, we'll need significant compute,” Bengio says. But even ten times that figure would pale in comparison to the roughly billion spent last year by tech giants on aggressively pursuing AI. Bengio’s hope is that Scientist AI could help ensure the safety of highly autonomous systems developed by other players. “We can use those non-agentic AIs as guardrails that just need to predict whether the action of an agentic AI is dangerous," Bengio says. Technical interventions will only ever be one part of the solution, he adds, noting the need for regulations to ensure that safe practices are adopted.LawZero, named after science fiction author Isaac Asimov’s zeroth law of robotics—“a robot may not harm humanity, or, by inaction, allow humanity to come to harm”—is not the first nonprofit founded to chart a safer path for AI development. OpenAI was founded as a nonprofit in 2015 with the goal of “ensuring AGI benefits all of humanity,” and intended to serve a counterbalance to industry players guided by profit motives. Since opening a for-profit arm in 2019, the organization has become one of the most valuable private companies in the world, and has faced criticism, including from former staffers, who argue it has drifted from its founding ideals. "Well, the good news is we have the hindsight of maybe what not to do,” Bengio says, adding that he wants to avoid profit incentives and “bring governments into the governance of LawZero.”“I think everyone should ask themselves, ‘What can I do to make sure my children will have a future,’” Bengio says. In March, he stepped down as scientific director of Mila, the academic lab he co-founded in the early nineties, in an effort to reorient his work towards tackling AI risk more directly. “Because I'm a researcher, my answer is, ‘okay, I'm going to work on this scientific problem where maybe I can make a difference,’ but other people may have different answers." #mostcited #computer #scientist #has #plan

After a while, Danae Shell got tired of hearing the same story over and over again.  “Something bad would happen to someone at work, and the story always ended the same way,” she told TechCrunch. “They just left, because doing anything else was incredibly complex and expensive.”  One doesn’t need to look far to notice that for many people, seeking legal recourse feels so daunting and complex that many just don’t try. Even for someone with a cushy tech job, the prospect of going against their company is daunting. That bothered Shell so much that in 2022, she launched Valla, which seeks to make legal support more accessible to workers.  The company focuses on employment law, and since its launch, it says, more than 12,000 workers have successfully brought complaints against employers and negotiated settlements. “The basic thesis of Valla was, ‘If we can build tools that let someone file their tax return from their mobile phone, surely we can build something that can help them manage their own legal issue,’” Shell said. Valla platform enables users to collect their own evidence, generate documents, and then talk to legal experts who “coach” them through what the legal process would be for each stage of their case. For example, Shell said, a user can keep track of an ongoing issue at work, draft a Tribunal claim, and then purchase a coaching package to prepare for the preliminary hearing. Techcrunch event now through June 4 for TechCrunch Sessions: AI on your ticket to TC Sessions: AI—and get 50% off a second. Hear from leaders at OpenAI, Anthropic, Khosla Ventures, and more during a full day of expert insights, hands-on workshops, and high-impact networking. These low-rate deals disappear when the doors open on June 5. Exhibit at TechCrunch Sessions: AI Secure your spot at TC Sessions: AI and show 1,200+ decision-makers what you’ve built — without the big spend. Available through May 9 or while tables last. Berkeley, CA | June 5 REGISTER NOW Like nearly every other startup these days, Valla uses AI to streamline knowledge transfer. “The GenAI engine in our platform acts as a legal secretary in the background,” Shell said. “It does everything from briefing the coach on the case, taking notes and actions during any calls, and picking up all the admin and reminders as the case progresses.”  Investors seem to like what they see at Valla: Today, the company said it had raised a £2 millionseed round led by Ada Ventures. Active Partners and Portfolio Ventures, as well as returning investors Techstart and Resolution Foundation, also invested.  Shell said Valla started using generative AI in early 2023 and paired with the early traction her product received, that helped investors see the potential of her product.  The company will use the fresh capital to boost marketing, build relationships with worker unions and insurers, and build more AI features within the platform. After employment law, Shell said the company hopes to expand into small claims and tenancy.  “Then we will broaden out to other geographies,” she said. “We’re already looking at opportunities in the U.S. and Europe.”  #valla #raises #27m #make #legal

Modern software engineering faces growing challenges in accurately retrieving and understanding code across diverse programming languages and large-scale codebases. Existing embedding models often struggle to capture the deep semantics of code, resulting in poor performance in tasks such as code search, RAG, and semantic analysis. These limitations hinder developers’ ability to efficiently locate relevant code snippets, reuse components, and manage large projects effectively. As software systems grow increasingly complex, there is a pressing need for more effective, language-agnostic representations of code that can power reliable and high-quality retrieval and reasoning across a wide range of development tasks.  Mistral AI has introduced Codestral Embed, a specialized embedding model built specifically for code-related tasks. Designed to handle real-world code more effectively than existing solutions, it enables powerful retrieval capabilities across large codebases. What sets it apart is its flexibility—users can adjust embedding dimensions and precision levels to balance performance with storage efficiency. Even at lower dimensions, such as 256 with int8 precision, Codestral Embed reportedly surpasses top models from competitors like OpenAI, Cohere, and Voyage, offering high retrieval quality at a reduced storage cost. Beyond basic retrieval, Codestral Embed supports a wide range of developer-focused applications. These include code completion, explanation, editing, semantic search, and duplicate detection. The model can also help organize and analyze repositories by clustering code based on functionality or structure, eliminating the need for manual supervision. This makes it particularly useful for tasks like understanding architectural patterns, categorizing code, or supporting automated documentation, ultimately helping developers work more efficiently with large and complex codebases.  Codestral Embed is tailored for understanding and retrieving code efficiently, especially in large-scale development environments. It powers retrieval-augmented generation by quickly fetching relevant context for tasks like code completion, editing, and explanation—ideal for use in coding assistants and agent-based tools. Developers can also perform semantic code searches using natural language or code queries to find relevant snippets. Its ability to detect similar or duplicated code helps with reuse, policy enforcement, and cleaning up redundancy. Additionally, it can cluster code by functionality or structure, making it useful for repository analysis, spotting architectural patterns, and enhancing documentation workflows.  Codestral Embed is a specialized embedding model designed to enhance code retrieval and semantic analysis tasks. It surpasses existing models, such as OpenAI’s and Cohere’s, in benchmarks like SWE-Bench Lite and CodeSearchNet. The model offers customizable embedding dimensions and precision levels, allowing users to effectively balance performance and storage needs. Key applications include retrieval-augmented generation, semantic code search, duplicate detection, and code clustering. Available via API at per million tokens, with a 50% discount for batch processing, Codestral Embed supports various output formats and dimensions, catering to diverse development workflows. In conclusion, Codestral Embed offers customizable embedding dimensions and precisions, enabling developers to strike a balance between performance and storage efficiency. Benchmark evaluations indicate that Codestral Embed surpasses existing models like OpenAI’s and Cohere’s in various code-related tasks, including retrieval-augmented generation and semantic code search. Its applications span from identifying duplicate code segments to facilitating semantic clustering for code analytics. Available through Mistral’s API, Codestral Embed provides a flexible and efficient solution for developers seeking advanced code understanding capabilities.  vides valuable insights for the community. Check out the Technical details. All credit for this research goes to the researchers of this project. Also, feel free to follow us on Twitter and don’t forget to join our 95k+ ML SubReddit and Subscribe to our Newsletter. Sana HassanSana Hassan, a consulting intern at Marktechpost and dual-degree student at IIT Madras, is passionate about applying technology and AI to address real-world challenges. With a keen interest in solving practical problems, he brings a fresh perspective to the intersection of AI and real-life solutions.Sana Hassanhttps://www.marktechpost.com/author/sana-hassan/Off-Policy Reinforcement Learning RL with KL Divergence Yields Superior Reasoning in Large Language ModelsSana Hassanhttps://www.marktechpost.com/author/sana-hassan/This AI Paper from Microsoft Introduces WINA: A Training-Free Sparse Activation Framework for Efficient Large Language Model InferenceSana Hassanhttps://www.marktechpost.com/author/sana-hassan/Apple and Duke Researchers Present a Reinforcement Learning Approach That Enables LLMs to Provide Intermediate Answers, Enhancing Speed and AccuracySana Hassanhttps://www.marktechpost.com/author/sana-hassan/National University of Singapore Researchers Introduce Dimple: A Discrete Diffusion Multimodal Language Model for Efficient and Controllable Text Generation #mistral #introduces #codestral #embed #highperformance

Exciting times ahead as Microsoft integrates OpenAI's Sora video creator into Bing! This powerful new feature allows users to generate short videos just by typing in prompts, making content creation more accessible than ever. I’m particularly thrilled about the potential it holds for educators and content creators looking to engage their audiences in innovative ways. While Sora may have faced some challenges at launch, it's clear that Microsoft is committed to enhancing its AI capabilities, especially following their massive investments in OpenAI. Have you tried creating videos with AI yet? What are your thoughts on this new feature? Let's discuss! #AI #VideoCreation #Microsoft #OpenAI #Bing

OpenAI's recent court documents have unveiled some bold ambitions: they're setting their sights on Siri, and Apple might want to brace itself! As we navigate a landscape buzzing with antitrust discussions and corporate shake-ups, it’s fascinating to see how AI is pushing boundaries. This competition could lead to a major shift in how we interact with our devices, making virtual assistants more intuitive and capable than ever before. Imagine if your iPhone could truly understand you, not just as a tool but as an intelligent companion. Could this be the spark that ignites a new wave of innovation in personal tech? Exciting times ahead! #AI #OpenAI #Apple #Innovation #TechTrends

In the ever-evolving world of AI, Apple’s cautious approach is facing scrutiny while other tech giants rush ahead. A recent study has highlighted the alarming risks of AI chatbots, particularly pointing out a misstep by OpenAI when ChatGPT tried too hard to please users, resulting in some truly bizarre interactions. This serves as a crucial reminder that while innovation is exciting, safety and responsibility must take precedence. It’s essential for companies to strike a balance between advancement and ethical considerations, ensuring that their technology serves humanity positively—without leading us down dangerous paths. How do you feel about the pace of AI development? Should companies prioritize caution over speed? #AI #EthicalTech #Apple #OpenAI #Chatbots

Exciting news in the tech world! Jony Ive’s collaboration with OpenAI on a groundbreaking AI device has received a glowing endorsement from Laurene Powell Jobs. Their recent conversation reflects on the innovative spirit that defined Apple during its golden era. It’s fascinating to see how their shared history with Steve Jobs is influencing the future of technology. As a digital illustrator, I’m particularly intrigued by how design and AI can merge to create tools that enhance creativity. This partnership could lead to some truly transformative tech that inspires artists and innovators alike. Can’t wait to see what emerges from this collaboration! #DesignInnovation #AI #JonyIve #LaurenePowellJobs #TechTrends

Dive into the fascinating journey of Sam Altman, the visionary CEO of OpenAI, as chronicled by Keach Hagey in “The Optimist: Sam Altman, OpenAI, and the Race to Invent the Future.” Hagey reveals how Altman's Midwest roots and entrepreneurial spirit have shaped his approach to one of the most transformative eras in technology. With AI at the forefront of innovation, Altman embodies the ideal leader, navigating the challenges and opportunities that define our current landscape. As we stand on the brink of a new age, it’s inspiring to see how his background and experiences have equipped him to tackle the complexities of AI development. His story reminds us that the intersection of passion and technology can lead to groundbreaking advancements. What are your thoughts on the role of leaders like Altman in shaping our future? #AI #Innovation #Leadership #OpenAI #TechTrends