AI/ML news, top picks, and generated innovation digests.
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I traveled to Niagara Falls, Toronto, Quebec City, and Montreal in Canada, where I tried poutine, rode Via Rail trains, and explored cities.
Singapore criminalises AI-generated abuse images
How AI has massively changed my day-to-day workflow The post A Day in the Life of a Data Scientist in 2026 appeared first on Towards Data Science .
Troublesome electromagnetic catapults look set to be replaced with old-fashioned technology
An investment migration firm told Business Insider professionals and retirees now make up 25% of US consultations as more Americans shop "plan b" second passports.
Unforgetful, the latest app from longtime indie developer Marco Arment, is designed to make reminders harder to ignore — or accidentally dismiss.
The US ambassador said Washington was "unwavering" in recognising Japanese sovereignty, after Putin's visit to the four islands occupied by the Soviet Union in 1945 prompted Japan to summon Moscow's ambassador and consider tightening sanctions against Russia.
Thousands of people from across Europe and beyond have travelled to the UK to experience the Medicine Festival, where music, spirituality, nature and traditional ceremonies come together.
India's Tata Steel sells Jamshedpur FC for token sum of $1
Please Please Please, could you provide us with lifetime token usage endpoint and a dashboard? It would be so cool to display it on my profile pages, that I have used this much tokens until now. Even better if it shows highest usage was in this month, my average is this and so on. Since token consumption has become equivalent to git commit histories, lifetime token usage display would be a thing to boast in my profile. Also, when developers see other high performing developers using crazy number of tokens, it will inspire them to use more, thus benefitting OpenAI! I hope someone at OpenAI reads this and makes it happen.
Most apps make our personal lives easier. This one helps the oppressed communicate by turning your phone into a Tor proxy. No technical knowledge needed.
The West Midlands, alongside nearly three-quarters of England, is in drought after weeks of high temperatures and scant rainfall, increasing the risk of fires.
Turning off this setting won't affect invisible benchmarks used to identify an AI generated file.
New spyware attacks are aimed at journalists, activists, politicians, diplomats, and others. Here's how Apple is notifying them and what they should do - after turning on Lockdown Mode.
After spending a year living in and traveling across Ireland, there are some towns I'd revisit and two tourist spots that weren't worth the hype.
‘A great deal of public opposition is likely’ to a proposed datacentre near Edinburgh, the force says Police in Scotland have issued a stark warning about the need for “robust security measures” to stop proposed AI datacentres from being attacked by protesters. There has been mounting opposition to AI infrastructure globally, including in the US where such projects have become a significant political rallying point . Continue reading...
In multi-turn reinforcement learning, your custom reward function decides what the model actually learns. This post shows how to design a composite multi-turn reward for Amazon Nova Forge, execute model-generated code safely inside it, and instrument each component to catch the pitfalls that quietly collapse a reward.
Catch up with the most important stories from around Europe and beyond this August 14th, 2026 - latest news, breaking news, World, Business, Entertainment, Politics, Culture, Travel.
Rolling out to ChatGPT's Mac app, Computer History creates a timeline from your activities across the apps and websites you use on your Mac. Is that a privacy risk?
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.