Dell XPS 13 review: The first budget laptop to rival Neo raises the bar for all PCs
The Dell XPS 13 flaunts build quality rarely seen at this price point, but not without trade-offs.
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The Dell XPS 13 flaunts build quality rarely seen at this price point, but not without trade-offs.
See how four GitHub agent apps can help you scope, secure, roll out, and ship a feature across the SDLC–all without leaving GitHub. The post How to bring your software delivery workflow into GitHub with agent apps appeared first on The GitHub Blog .
Learn how to combine OpenAI-compatible endpoints on Amazon SageMaker AI with Amazon Bedrock AgentCore runtime to build a multi-agent workflow where each specialized agent uses the model best suited to its job. This post also shows how to get token-level observability from SageMaker endpoints that Strands Agents does not instrument by default.
Martha Stewart believes clarified butter makes "the best scrambled eggs in the whole world." Her technique makes the eggs golden, silky, and creamy.
Hi everyone, Has anyone had difficulty getting an issue resolved by OpenAI Support? My case has been pending for about a week with no response. I have followed up through the support chat and email, but still haven’t received help from a human agent. When I try to open a new ticket, the AI support system tells me to go back to my existing ticket and automatically closes the new one as a duplicate. But when I go back to the original ticket, nobody responds. I’m basically stuck in a loop. Has anyone experienced this and successfully managed to reach a human OpenAI support agent? If so, how did you do it? Thanks for any advice.
I am studying the following problem from an exam. A system consists of two subsystems connected in parallel. The first subsystem is just one component c1. The second subsystem is made of three components c2,c3,c4 connected in series. The lifetimes of c1,…,c4 are independent exponential random variables with rates λ1=0.11,λ2=0.03,λ3=0.01,λ4=0.06 (times in minutes). Compute the probability that the whole system is still working 9 minutes after switching on My reasoning was the following. Let Xi be the lifetime of component ci, so P(Xi>t)=e^−λit For the series subsystem c2,c3,c4 the lifetime is Y=min(X2,X3,X4), so P(Y>t)=e^−(λ2+λ3+λ4)t Since the first subsystem c1 and the series subsystem are in parallel, the lifetime of the whole system is X=max(X1,Y). Thus P(X>t)=1−P(X1≤t,Y≤t)=1−(1−e−λ1t)(1−e−(λ2+λ3+λ4)t). So for t=9 $P(X>9)=e^{−9λ1}+e^{−9(λ2+λ3+λ4)}−e^{−9(λ1+λ2+λ3+λ4)}$ . With the given values I get P(X>9)≈0.631. However, when I discussed the exam with the professor, he said that I was mixing things, and that putting two exponential lifetimes in parallel does not give an exponential lifetime. I understand that the maximum of independent exponentials is not exponential, but I did not assume it was: I used the complement formula above. So my questions are: Is the value i get correct? If yes, why would the professor say that I was treating the parallel system as exponential? If not, where exactly is the mistake?
I would like to build a privacy-preserving global Codex skill that synchronizes a user’s saved projects and sanitized project/chat context across their computers. The current tool surface can list existing projects and create tasks inside an existing project, but it does not expose supported operations for creating a saved local project or managing its directories and repositories. Requested project-management capabilities: create_project(title, description, roots, idempotency_key) update_project(project_id, title, description) list, add, and remove project directories or repositories return stable project metadata suitable for cross-device reconciliation support lookup-before-create or an idempotency key to prevent duplicates provide paginated project-task discovery Use case: A user runs “Sync my projects” on computer A. The skill stores an approved, sanitized project catalog and chat continuation checkpoints in the user’s private Google Drive folder. On computer B, the same command matches existing projects, creates missing saved projects, and restores their sanitized chat streams. Projects found only on computer B are added to the shared catalog for the next synchronization on computer A. The workflow would not copy source code, Git diffs, credentials, raw transcripts, or private repository URLs. Repository cloning and source synchronization would remain separate, explicitly authorized operations. Without a project-creation API, remote project metadata can be discovered o…
Kuye is the founder of KAMIM Technologies, a Nigerian climate-tech company that builds solar-powered cold storage infrastructure and connects farmers to markets.
These technologies are often used in automation, electronics, connected devices, and everyday digital applications. Clear information about components and their uses can help beginners and professionals work with confidence. With useful resources and simple explanations, embedded bits offers a helpful place for readers interested in technology, electronics, programming, and the systems that power today’s connected devices.
I would also add it’s important to look at a problem piece by piece. It’s not “enter the prompt and walk away” yet.
President Emmanuel Macron's office said he had no plans to give up on his push to bar children from apps such as TikTok and the government would work on a new draft law.
I would like to propose a feature we jokingly call FREE CAELUM . The serious idea behind the name is simple: Let users choose which safe operational decisions they want to delegate to ChatGPT. As ChatGPT becomes more capable, users increasingly have to understand the product architecture behind their goal. For example: Should I use normal Chat or Work? Which reasoning level is appropriate? Which available tools should be used? Is the current setup suitable for a long task? Am I about to start something that may need to be repeated because I chose the wrong configuration? The user often knows exactly what they want. ChatGPT may understand perfectly well how complex the task is . But the user still has to remember and manually select the technical setup. Proposal: Delegated Execution Preferences Users could decide how much of this they want to delegate. For example: Always ask ChatGPT recommends the appropriate mode/reasoning/tools, but the user decides. Decide for me ChatGPT may make explicitly permitted safe operational choices. This project only The permission applies only inside one project. This task/session only Temporary delegation. Category-specific permissions For example, ChatGPT may choose reasoning level and Work mode, while external or consequential actions still require confirmation. Always revocable The user can change these permissions at any time. The important principle is: Delegation is not the removal of user control. It is another way of exercising it. If…
Run a multimodal feature-engineering pipeline in ten minutes with geneva-examples, then rebuild its CLIP embedding step with LanceDB's feature engineering API, the same calls you'd use to enrich your own tables on LanceDB Enterprise.
Meta released Glimmer this week, an open-weight AI model anyone can download and run on their own hardware — a contrast to Muse Spark, the company’s more powerful model that stays locked behind its own APIs. The release landed alongside a letter from Mark Zuckerberg arguing AI should be “for everyone” rather than controlled by a handful of labs, but as Equity’s […]
What’s funny historically, I guess, is which model generated those 1 trillion tokens? The Single Value (Wolf) Function and Perspective Collapse Everything compressed into a single value
Indian firm to make fighter jet engines with Rolls-Royce
As I’ve stated elsewhere I believe Max and Ultra simply aren’t worth the expense. Sol High for coding tasks is very good indeed. The only criticism I have is Codex isn’t yet capable of doing “everything in one go” imho. You have to tackle things piece by piece. However it’s very good at that. I’m not convinced you can "fire and forget* long tasks reliably either and that modus operandi will land you with too much rework and wasted quota. As far as “shrinking quotas” are concerned I’m working on a tool to make that more obvious if it’s happening at all.
I would like to see support for connecting multiple Google accounts to a single ChatGPT account. At the moment, the Gmail/Google integration is very useful, especially because ChatGPT can search emails and also work with supported attachments. However, many people use more than one Google account, for example a personal account, a work account, or a separate archive account. In my case, I would like to use a second Gmail account purely as an archive for another email provider. I do not want to forward all of those emails into my main Gmail account just so ChatGPT can access them. Ideally, ChatGPT should allow users to connect multiple instances of the same app, for example: Gmail – Personal Gmail – Archive Google Drive – Personal Google Drive – Work It would also be useful if ChatGPT clearly indicated which connected account a result came from. I think this would make the Google integrations significantly more useful, as having multiple Google accounts is a very common setup. The same concept could eventually also apply to other integrations such as Outlook, Dropbox, etc.
> **ChatGPT is no longer creating/resolving Business workspace membership for new users.** This happens through two independent paths: 1. A user receives a valid Business invitation, opens the invitation link, signs in with the exact invited email address, but the Business workspace is never attached to the account. 2. A completely new user under my verified corporate domain successfully verifies the email address, but the Business workspace is still not associated with the account. Both of these flows worked normally in this same workspace before this regression began. --- # 1. What worked before This is important because this is not a workspace that has never been configured correctly. Previously, in this same ChatGPT Business workspace: - I could invite a user. - The user could open the invitation. - The user could authenticate using the invited email address. - The Business workspace would appear normally for that user. The verified corporate-domain flow also worked previously. A user signing up/logging in using an account from the verified corporate domain could receive the expected Business workspace association according to the configuration available in my Admin/Identity settings. So this appears to be a **regression in an existing workspace that previously worked**, rather than a new workspace configuration issue. --- # 2. When the regression started There is one timeline detail that may be relevant to engineering. My ChatGPT Business subscription is under a long-te…
The talks underscore the exuberance in today’s dealmaking environment.
I have also come across similar issues with all newer models. The closest acceptable model after v1 was v1.5. But 2, 2.1 and 2.1 mini have an issue with consistency. The biggest issue preventing me from using the newer models in production is with the use of unnecessary preamble for very short tool calls even with explicit prompting to avoid preambles. Could someone at OpenAI provide assurance that v1 will not be deprecated before an acceptable replacement is provided?
Simone I. Smith says building a jewelry company with LL Cool J's support helped her create an identity beyond marriage and motherhood.
The president has repeatedly criticized the electromagnetic catapults and weapons elevators on the USS Gerald R. Ford supercarrier.
Twenty-six projects have been selected under LINGUA Africa, covering more than 50 African languages, dialects and sign languages spoken by over 500 million people across 47 countries — with each awardee eligible for up to $250,000 in cash and $400,000 in compute credits. The initiative brings together the Microsoft AI for Good Lab, the Gates [...]
Gill says 'huge honour' to lead India in 600th Test
Equinix is scaling its Johannesburg 1 data centre to 24MW to meet growing AI and cloud demand — while holding back development on land it has bought in Johannesburg and Cape Town until it sees whether that demand materialises. The US digital infrastructure company entered South Africa in 2024 with a $160 million investment in [...]
CrewAI replaced a two-system memory stack with LanceDB, then rebuilt agent memory to resolve contradictions and gate recall on confidence. It now ships by default across 12 million monthly downloads and 2B+ agent executions.
Some of my latest RPG Images
When a ChatGPT project lasts weeks or months, the problem is not always that the model simply “forgets.” Something more dangerous can happen: a new conversation reconstructs an almost-correct version of the project and continues reasoning perfectly well from incomplete history. We ran into this ourselves. We were about to change part of a project when we recovered an older continuity record and discovered that: a decision we thought was new had already been made, a capability we thought was missing already existed, and something we were about to modify was supposed to remain frozen. The reasoning wasn’t bad. The available context was incomplete. So we built a simple process called Continuity that extracts the current operational state of a conversation and carries it into a new one: active objectives, decisions still in force, constraints, completed work, unresolved items, dependencies and critical references. It doesn’t try to make the AI remember everything. It preserves what is still necessary to continue working correctly. After repeated testing on long-running projects, the effect has been surprisingly large for such a simple mechanism. This seems like a useful native ChatGPT capability: not unlimited memory, but explicit operational continuity between conversations . There is a free working implementation here for anyone who wants to test the idea: lasserlab.mx Continuity I’d be interested to know whether others working on long-running ChatGPT projects have encountered…
Nigerian fintech Mathesis Analytics has secured a strategic investment from Sewa Capital to scale its AI-powered credit decisioning engine, bringing a platform that has already supported more than 8 million loans deeper into institutional lending. The investment amount was not disclosed. Mathesis addresses what its founders identify as a structural gap in Nigerian credit markets: [...]
A major wildfire near Omiš, around 25 kilometres south-east of Split, forced about 1,200 residents and tourists to evacuate overnight on Thursday and into Friday as strong winds drove the flames towards the coastal town.
Kenya has the world’s highest rate of AI use, with 97.5% of online adults reporting they used at least one AI tool in the past month, according to the Digital 2026 Mid-Year Global Update published by DataReportal in partnership with We Are Social and Manochi. That is the highest figure among the 54 countries tracked [...]
The UK is going through its fifth heat wave this summer, making work, commuting, and dinner nearly impossible for me. I found some ways to stay cool.
Alibaba drops open weights for Qwen3.8-27B and the massive 2.4T-A95B Max model, both free under Apache 2.0
During a visit to the area Prime Minister Andrej Plenković stressed the dangers of the fire and praised the efforts of the firefighters.
Washington says Brussels still hasn’t delivered on its commitments from last year’s transatlantic trade deal.
The administrative work required to run an effective investment scam has been drastically cut by using merging technology Get our breaking news email , free app or daily news podcast Within days of clicking on an online ad for a cryptocurrency trading app, a 29-year-old Queensland man watched his dashboard soar with profits. Making investment gains was as simple as downloading the slick-looking app and browser extension linked to his crypto wallet. So he invested more. Continue reading...
A background comment about pizza exposed a failure that Uber’s offline evaluations had missed. The incident helped reveal what production AI agent evaluation actually requires: automatic tracing, living datasets, shared ownership, and a direct connection to product decisions. The post How Uber evaluates AI agents at production scale appeared first on Arize AI .
Tim O’Reilly built a publishing empire that AI is helping to destroy. Yet he loves AI—as long as it’s open source.
Enterprise Document Intelligence [Vol.1 #13] - Putting the patterns together, and why this is what “agentic RAG” should look like The post RAG Workflow and Loop Engineering: The Dispatcher That Decides When to Loop and When to Stop appeared first on Towards Data Science .
Hi there — we’re closing this topic because there hasn’t been a new response for a long period of time and the discussion appears inactive. If you still need help, please start a new topic with your current question and any relevant, non-sensitive details. Thanks for being part of the community. Avinash
Apple is asking a federal judge to allow it to charge commissions of up to 15% on purchases made through external links in iOS apps.
Issue For longer messages, the chat window in the ChatGPT app is small making it cumbersome to review what has been typed before hitting send. Feature Request As currently present in the web ChatGPT app, add the ability to expand/collapse the chant window in the installed ChatGPT app. See images below.
After years of freelancing while raising three kids, I took two part-time jobs. I love the steady paycheck, but summer childcare is exhausting.
Summary While using the ChatGPT Android app today (August 14, 2026), an unexpected fragment of Chinese text associated with online gambling/spam appeared inside the visible reasoning-summary UI (“Réfléchi pendant…” / “Thought for…”), attached to an otherwise standard internal execution step. The string that appeared was: 申博太阳城 (Shenbo Sun City — a well-known online gambling/casino brand) Attached directly to the normal step label: Vérification du fichier d’état actuel 申博太阳城 Context and Observations Environment : ChatGPT Android app. Conversation topic : A professional compliance and audit project completely unrelated to China, gambling, casinos, lotteries, or promotional spam. Location : The string appeared strictly within the reasoning-summary UI dropdown , not in the user prompt, tool arguments, or final assistant markdown response. Codebase / Repository check : A search across all local project repositories, files, and referenced manifests yielded zero occurrences of this string. Shareable reasoning trace : The corresponding shareable reasoning trace did not display this string. Impact : No malicious execution or data loss was observed; the model proceeded with the task normally. Screenshot : Attached below (client-sensitive URLs redacted, leaving the full reasoning UI and circled Chinese string intact). Relation to Previous Reports This behavior appears closely related to issues reported in the community over recent months (including the July 2026 reports regarding rando…
For RPG fans who dig Persona-style turn-based action and who are pursuing games with original stories and fantastic tunes, look no further than Clair Obscur: Expedition 33. This praise might come off sounding weird, but I really like that Sandfall Interactive’s breakout hit isn’t overly long compared to RPGs it was inspired by. It’s worth […]
The idea that GPUs are poorly suited for agentic workflows may be a misconception, according to French startup Kog.
Inspired by Hokusai’s 'The Great Wave off Kanagawa,' the carpet features more than 700,000 flowers and measures approximately 70 metres long and 24 metres wide.