Latest news bulletin | June 28th, 2026 – Evening
Catch up with the most important stories from around Europe and beyond this June 28th, 2026 - latest news, breaking news, World, Business, Entertainment, Politics, Culture, Travel.
AI/ML news, top picks, and generated innovation digests.
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Catch up with the most important stories from around Europe and beyond this June 28th, 2026 - latest news, breaking news, World, Business, Entertainment, Politics, Culture, Travel.
Tastes great. Less filling. It's a floor wax. It's a dessert topping. Light shaping. Light sending. Why not both?
Paris is looking for fresh levies on foreign companies in order to reduce national contributions to the bloc's budget.
If I were you: Create a project Describe exactly that in a project. Save to project things you like from chat. eventually , you may want to formalize concepts into “system_architecture.md”files Depending on how you like to build projects you might just need to ask the AI to simply take that as a build spec and build a python program which accepts a csv input and outputs as requested. Or if you’re like me, you may want to document specs first and plan out the project before starting to write code. It really depends on if you need a simple program or if you’re designing a larger project.
Feature Request: Associate Custom Agents with Projects Summary Allow users to associate one or more custom agents with a ChatGPT Project so those agents are immediately visible and accessible whenever the project is opened. This would create a natural relationship between Projects and Agents , making Projects the central workspace for long-term development efforts. Problem The Agent Library is an excellent place to create and manage custom agents. However, once an agent is created, there is currently no way to associate it with the project it was built to support. As projects grow, users often create multiple specialized agents dedicated to a single project. Examples: Steward CTO Security Officer (CISO) Builder Documentation Writer QA Reviewer Research Assistant When returning to a project days or weeks later, users must leave the Project, open the Agent Library, and manually locate the correct agent. For users managing multiple projects and dozens of custom agents, this becomes increasingly difficult. Proposed Solution Add an Assigned Agents section to every Project. Projects would continue organizing conversations and files, while also displaying the agents specifically assigned to that project. For example: Project: InvestorOS ────────────────────────── Chats Files Knowledge Assigned Agents • Steward • CTO • Security Officer • Builder • Documentation Writer Selecting an agent would immediately launch a conversation with that agent while maintaining the context of the curr…
The Qingdao Grand Prix ended in style as the heavyweights took centre stage. Yahor Varapayeu claimed gold at -90kg, world No.1 Anna Monta Olek won her fourth Grand Prix title, Adam Sangariev celebrated a maiden gold, Elis Startseva dominated +78kg, and Tamerlan Bashaev returned to the top.
I'm a travel consultant who loves visiting Europe. My top summer travel recommendations are Hvar, Comporta, and Gozo, an island near Malta.
Hong Kong school pupils as young as seven are being referred for addiction counselling for online gaming, with requests for help involving increasingly younger children, a digital habits workshop has heard. Crystal Leung Chui-yee, officer-in-charge of the Sunshine Lutheran Centre, a counselling and treatment centre for problem gamblers, revealed the alarming frontline trend at the workshop organised by Young Post and the South China Morning Post’s student business, SCMP Learn, which about 70...
The heatwave weekend in Germany has produced yet another temperature record, the highest since measurements began in the 19th century, registered in Brandenburg.
The scorching weekend in Germany has produced another record high since measurements began in the 19th century, with the new peak recorded in Brandenburg.
France have made a mightily impressive start to their campaign, scoring 10 goals in victories over Senegal, Iraq and Norway.
Thanks for sharing the idea, @steviejay. I can definitely see why having a shared conversation would be useful for things like trip planning, family discussions, or team projects. Also appreciate the helpful clarification from @LarisaHaster. Group chats already support inviting other ChatGPT users into a conversation, with personal memories remaining private and not being shared. The Help Center article they linked covers how it works. If you're in a supported region and don't see the feature yet, try restarting the app and make sure you're using the latest version of the ChatGPT app on Android or iOS. If you're still not seeing it after that, it'd be helpful to know which platform and app version you're using so we can check further. -Mark G.
Tech and AI stocks now make up as much as 12% of most balanced superannuation funds, experts say Follow our Australia news live blog for latest updates Get our breaking news email , free app or daily news podcast Artificial intelligence and technology stocks have become a driving force on Wall Street and, unbeknownst to most Australians, a growing part of their retirement savings . The so-called “magnificent seven” – chip maker Nvidia, Google owner Alphabet, Apple, Microsoft, Amazon, Facebook owner Meta and Tesla – are, for better or worse, increasingly part of the portfolios offered by superannuation funds. Continue reading...
ChatGPT relieves me of my discomfort, but in doing so it robs me of contemplation, of the holy ground between question and answer Making sense of it is a column about spirituality and how it can be used to navigate everyday life As a person of faith raised in a religious household, I have a fairly clear picture of what prayer means to me. Prayer is the practice by which I draw closer to God, petition for my needs and desires, request guidance and ask forgiveness. The deal has always been that in times of trouble I cast my anxieties and questions and emerge with either some answers or some sustaining sense of peace. Take it to the Lord in prayer , the song goes. Continue reading...
Eager to find more public AI-related companies that may do as well as Nvidia, Wall Street investors think they've found a winner with Micron.
Behind a customer's API, a high-quality answer isn't enough. It has to be usable, which means on time. Delivering that consistently is a problem about variance, not speed, and the fixes are counterintuitive. The post Tail Control: The Counterintuitive Engineering of Reliable Agentic Workflows appeared first on Towards Data Science .
Food has become the way my partner's mother communicates and shows her love for me.
While we wait for a general release, the system card is the best hint as to what is going on with the new candidate for America’s Next Top Model, GPT-5.6. This is only an OpenAI model card, so by my standards it’s a light read. There’s a lot of things that you get in an Anthropic card, that are missing in an OpenAI card. Overall, the card gives a clear and consistent impression that GPT-5.6-Sol is a substantial improvement over GPT-5.5, but still short of Mythos. OpenAI calls it a ‘step function better’ than GPT-5.5. That seems accurate. OpenAI : Sol is our new flagship and a step function better than GPT-5.5. Terra delivers performance competitive to GPT-5.5 at 2x lower cost. Luna is our most cost-efficient model, delivering strong capability at our lowest cost. Together, the GPT-5.6 family gives people and developers more choice in how they balance intelligence, speed, and cost. Once available, pricing for GPT-5.6-Sol will be $5/$30, the same as GPT-5.5. Terra is $2.5/$15, Luna is $1/$6. They claim it will be on Cerebras at 750 TPS , which is insanely fast. Capacity will be limited, at least at first. They did not specify the price for that. There is a new higher thinking setting : Max. There is a new setting beyond Max called Ultra that lets GPT-5.6 spawn sub-agents. The intended strategy against bio and cyber misuse is defense-in-depth. My guess is that in practice this strategy is robust for now, but that the White House’s misunderstandings around Fable and what is and…
I have an agent workflow using the n8n MCP integration. A week ago, ChatGPT could autonomously execute a chain of tools in a single response: Execute workflow Capture executionId Call get_execution(includeData=true) Inspect results Execute the next workflow Repeat until completion Return only the final result My workflow depends on sequential execution where each step consumes the previous step’s output. Currently, ChatGPT stops after the first or second tool invocation and returns control to the user, preventing autonomous orchestration, even though all required tools (execute_workflow, get_execution, etc.) are available. The exact same workflow and prompt continue to work in another LLM environment, suggesting a regression or runtime limitation rather than a prompt issue. It would be valuable to restore support for multi-step autonomous tool execution for agentic workflows.
Gina Raimondo and Eric Holcomb are not running for president. They might drive the 2028 agenda on artificial intelligence anyway.
Jonathan Rinderknecht was facing arson charges for setting a fire on New Year's Day in 2025, which became one of the deadliest wildfires in LA history. To make their case, prosecutors turned to location data from his iPhone, security camera footage, and witness testimony. But they also turned to his ChatGPT logs. Prosecutors said that […]
Hi, Thanks for the clarification. Could you confirm whether Custom GPT Actions in Voice Mode are: intentionally not supported (by design / product decision) or temporarily not supported (work in progress / roadmap item) In other words, is there any plan to enable full tool / Actions execution in Advanced Voice Mode for Custom GPTs in the future? This is critical for understanding whether Voice Mode can be used as an interaction layer for action-based agents. Thanks
Dear OpenAI Team, My name is Emre Kedikli, and I am a ChatGPT Plus subscriber from Türkiye. First of all, I would like to sincerely thank you for creating one of the most influential AI platforms in the world. ChatGPT has become an important part of my daily learning, professional development, project planning, and research. I would like to share an idea that I believe could benefit millions of people worldwide. I propose the creation of an official OpenAI training, offering structured online training programs with certificates of completion and professional certifications. My suggestion includes: Fully online courses available worldwide Approximately 30 hours of learning for each program Interactive lessons and practical exercises Final assessment or examination Official digital certificates and professional certifications Verifiable digital badges for LinkedIn and professional profiles Example course titles: OpenAI – ChatGPT Fundamentals OpenAI – Prompt Engineering Fundamentals OpenAI – AI Productivity OpenAI – Generative AI Essentials OpenAI – Responsible AI OpenAI – AI for Manufacturing OpenAI – OpenAI API Fundamentals OpenAI – AI for Education OpenAI – AI for Business OpenAI – Digital Transformation with AI Example professional certifications: OpenAI Certified Prompt Engineer OpenAI Certified AI Professional OpenAI Certified Generative AI Specialist OpenAI Certified AI Developer To better illustrate this idea, I have also designed several concept certificate mockups tha…
Europe heatwave linked to 1,300 excess deaths: WHO
I use AI at baseball games, on family trips, and for work. My kids are learning how to think critically about it.
AI coding agents like Cursor are increasingly trusted to work autonomously, with a rise in AI-generated code reaching production directly.
Govee says that the modern-design gadget delivers nugget ice in as little as six minutes.
Iraqi security forces sealed off all entrances to the capital’s heavily fortified Green Zone early Sunday and carried out raids inside the compound that houses key government institutions and foreign embassies.
Possibly, but I only opened one window, with only 1 agent.
Thanks for the feature request, @Starker! I can definitely see the value in being able to navigate hyperlinks in a conversation entirely from the keyboard. Before I pass the details on internally, would you mind answering a few questions? The answers will help provide the team with the right context: What are you ultimately trying to accomplish, in your own words? What do you do today instead, and what about that isn't working for you? If we solved this perfectly, what would be different for you or your team? Thanks again for taking the time to share your feedback! -Mark G.
Case ID:C-VJCI8U2wyHLW Please review this carefully. Thank you. I am a legitimate user who pays for the service, but my account has been banned, and I am unable to top up even after switching to a new account.
Thanks for sharing this idea, @aliexe. I can definitely see why that would be useful, especially for long technical conversations where you want a branch to become a more focused discussion instead of carrying along unrelated history. Giving users control over how much context is copied, whether that's the full conversation, up to a selected message, AI-generated minimal context, or just the selected message, seems like a thoughtful way to make branching more flexible. I've passed this along to the team so it can be logged as a feature request. It's a great suggestion, and I appreciate you taking the time to explain both the current limitations and the potential improvements. -Mark G.
As a college vocabulary club member, I've been looking for a reliable spelling bee free option, and this one finally delivered consistent puzzles without annoying limits. The interface loads fast and works well on mobile, which matters when you're squeezing in a quick round between tasks. If you're curious about how the scoring works, the spelling bee words by grade breakdown on the site explains it clearly. Definitely worth a look if daily word games are your thing. https://spellbees.us/
Every state has a capitol that houses its state legislature. Many are domed buildings similar to the US Capitol, but others are more unique.
Hi @redker, thanks for taking the time to explain what happened. I can understand how disruptive this is, especially when the account contains important research and ongoing project work. At this point, your appeal is with our specialized team for review. These cases require a thorough manual review, so we aren't able to provide a timeline for when it will be completed. To keep everything in one place, we'll be closing this forum thread. Any updates will be provided through your appeal ticket 10491324 . Thanks for your patience and understanding while the review is underway. -Mark G.
This work was conducted during the GovAI Winter Fellowship 2026. Full report Executive Summary Frontier AI companies use offline monitoring to address risks from internally deployed AI agents. AI developers increasingly rely on AI agents for internal work, including for safety research and model training. At the same time, these companies are concerned that a misaligned model could exploit this access to take concerning actions, such as sabotaging efforts to understand the risks posed by AI. To identify such instances, AI companies have separate AI models called "monitors" that review transcripts of AI agents' actions and flag suspicious activity. Human reviewers examine activity flagged as suspicious by monitors, judge whether that activity is concerning, and decide on an appropriate response. This monitoring occurs offline, meaning that actions are reviewed after they have been executed rather than intercepted in real time. Companies currently assess the effectiveness of offline monitoring via synthetic attacks. To assess the effectiveness of offline monitoring, OpenAI and Anthropic use synthetic attacks – transcripts constructed to contain the kind of harmful actions a misaligned AI might take during deployment – and then check whether monitors flag them. Current reporting on assessments of effectiveness is insufficient. Given the information currently made public by Anthropic and OpenAI, external parties cannot assess the overall effectiveness of their offline monitoring…
Wisconsin Dells, "Water Park Capital of the World" had many family-friendly activities for our multigenerational travel group, but the cons added up.
I'm currently working on a demand forecasting problem for inventory replenishment, and I'd love to hear how others would approach it. The business requests a forecast for the next 4 weeks of stock consumption around the middle of the previous month. For example, in mid-June, I need to forecast the weekly demand for July. The challenge is that, at the time the forecast is generated, transactions from the second half of June are not yet available , creating a gap between the latest observed data and the beginning of the forecast horizon. The data I have consists of purchase order transactions at the SKU level , including timestamp (date and time) and quantity consumed. My main question is about the appropriate time granularity for training the forecasting model: Option 1: Aggregate the data by SKU and ISO YearWeek , resulting in one observation per SKU per week, and train a model to directly predict the next 4 weeks. Option 2: Keep the data at the daily level , train a model to forecast daily demand, and then aggregate the daily predictions into ISO YearWeeks to obtain the required weekly forecasts. One additional detail is that the forecast is reported using ISO YearWeeks . As a result, some weeks within a calendar month may contain only 3 or 4 days of that month (e.g., at the beginning or end of the month), while others contain all 7 days. My question is: Which approach would you choose, and why? Is it generally better to train the model at the same frequency as the business…
Israel’s government unanimously voted on Sunday to formally recognize the Armenian genocide, amid worsening ties with Turkey. “Despite the extensive and unambiguous historical documentation, the Armenian genocide remains to this day the subject of an institutionalized campaign of denial and minimization, including a manipulative rewriting of history, mainly by the Turkish government,” Israeli Foreign Minister […]
Background ChatGPT has evolved from a conversational assistant into a tool that many users rely on for long-term projects, including software development, research, writing, game development, and creative work. Today, responses are generated primarily from: Shared long-term memory Current conversation history User-provided prompts and uploaded files This works well for general conversations, but becomes increasingly difficult for large, long-lived projects. The Current Problem Long-term memory is shared across all projects. When users switch between unrelated projects, memories from previous work may unintentionally influence responses. To avoid this, users must repeatedly search through their own documents, retrieve the relevant information, and paste it into every new conversation. Effectively, users become the retrieval layer in the RAG pipeline—acting as “organic RAG hardware.” The issue is not the context window size. The issue is that project knowledge exists, but ChatGPT cannot automatically retrieve it. Existing Precedent OpenAI has already demonstrated the value of project-aware retrieval through tools such as Codex. Instead of relying solely on conversation history, these tools understand an entire project by retrieving only the files relevant to the current task. This greatly improves long-term collaboration without requiring extremely large context windows. Proposed Solution Extend this idea beyond software development. Allow every ChatGPT project to own a dedica…
I will return this year: Hasina vows political comebac
Knowing the facts about home solar power can help you make better-informed choices, save money, and stay safe.
A concrete bias–variance lesson: why the smallest model had the best cross-validated fit, and how to know when to reach for the big hammer. The post I Pitted XGBoost Against Logistic Regression on 358 Matches. The Boring Model Won. appeared first on Towards Data Science .