We’re big fans of NotebookLM around here, so much so that it received our Editor’s Choice Award. But it’s not the only AI tool out there that can synthesize your data to better understand it. In fact, there are a lot of options out there, it’s just that none are quite as approachable as NotebookLM.
Maybe you need a more specific type of output, or just don’t want Google handling your data. Not all of the following tools have nifty features like the Audio or Video Overviews that helped give NotebookLM its reputation today. Instead, they may offer a more tailored set of capabilities, whether you’re a student, an analyst or someone who simply prefers more privacy.
Below, we’ll detail a few other AI learning tools that have similar features but might be better suited for you depending on what you’re trying to do, your profession or your workflow.
Atlas.org launched in 2024, and its team consists of current students, recent graduates and former educators. Its sole purpose is to help you with your schoolwork, and it’s organized as such.
When you first sign up and log in, you’ll be presented with a series of options, each tailored to the learning experience. The three primary sections are for studying, homework and taking notes, and each of those subsections has different options to dig in deeper.
For studying, you can create a study guide, a quiz or flash cards. You can automatically create lecture notes from recorded audio or help get detailed answers to questions on your homework.
The information you upload to Atlas.org is retained forever, so you’ll have a continuously growing knowledge base about your schoolwork, and you can create dedicated spaces for different topics. Like NotebookLM, it also has a mobile app for iOS and Android that allows you to learn on the go.
Atlas is free to try out, but the free tier comes with some fairly steep limits. You can upgrade to the Pro version for $18 per month.
Yes, another tool with Atlas in its name, but Atlas Workspace is pretty specific with its functions. It specializes in knowledge and semantic mapping and is aimed towards scientists and research analysts. It essentially allows you to create a full knowledge base on its servers and map out exactly what you want to see when you want to see it. The more sources you upload, the more you’ll get out of it, and since it’s a collective database of your sources, you don’t need to remember where you saved a specific piece of information. This is in contrast to NotebookLM’s Notebooks, where the sources remain isolated as individual projects.
When you upload a source such as a PDF, Atlas Workspace will automatically begin building a knowledge map, breaking down the core components of your source — and you can start asking specific questions from there. You can also view a semantic map to get a more visual representation of your sources and how you’ve interacted with the tool.
Atlas isn’t going to be for everyone, and that’s because not everyone needs this type of tool. To get the most out of it, you’ll need to spend a lot of time working with it, and there’s a fairly steep learning curve to it. However, the Atlas Workspace blog has several in-depth comparisons between its competitors that might be helpful for people still on the fence.
The free version of Atlas Workspace allows for 10 total sources and five lifetime AI chats, but you’ll have access to unlimited projects, which are similar to NotebookLM’s Notebooks, but Projects can connect concepts across projects, keeping up with the compounding knowledge aspect. If you opt for the $20 per month Pro plan, your source count gets boosted to 1,000 and you’ll have unlimited AI chats.
We’ve covered OpenNotebook in depth before, and it’s fairly close to a lot of the functionality NotebookLM carries with it. However, you’ll need to know what you’re doing to set it up, which can feel incredibly involved if you don’t consider yourself a “tech” person. However, once it’s set up, there’s a lot it can do.
As you’d expect, you can upload your sources to OpenNotebook and chat with AI about it, but what makes this tool special is that you can pretty much choose whatever AI model you want. This will require more work and, depending on the model, may require a paid API key. You can even use a local LLM if you so choose.
Something standout about OpenNotebook is that it’s very privacy-friendly. Your data stays with you, and you decide what you share. OpenNotebook is also free and open-source.
Windows 11 Pro for Workstations is designed for professionals, data scientists, and enterprise users with highly specialized workloads. As noted by TechPowerup, it’s positioned between Windows 11 Pro and Windows Server, but it largely remained hidden in plain sight for five years, even though download links and purchase options were…
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Last week, researchers at cloud security firm Sysdig said they’d documented the first known case of “agentic ransomware.” It was an extortion operation, dubbed JadePuffer, in which an AI agent — not a human — handled the technical execution of a real-world cyberattack from start to finish. The agent broke into a vulnerable server, stole credentials, moved through the target’s network, encrypted files, and even wrote its own ransom note, adapting to obstacles along the way like a human hacker would. Coverage of the funding described it as run “without any human oversight,” with “no human at the keyboard.”
That’s not quite the full picture. In an interview on Monday with CyberScoop, Sysdig’s Michael Clark, the company’s senior director of threat research, clarified that a human was still very much involved — just not in the technical execution. “A human still set up and pointed the operation and provisioned the infrastructure behind it, the command-and-control server, the staging server used for the stolen data and chose a victim,” Clark said. The credentials used to break into the victim’s database, he added, weren’t harvested by the AI agent itself; someone obtained them separately, through a prior compromise, and handed them to the operation.
None of this contradicts Sysdig’s original claim, and the technical details of the attack remain notable on their own — wild, even. The agent got in through a known bug in Langflow, a popular open-source tool for building LLM apps, then moved on to a production MySQL server and exploited another known flaw to gain admin access. It encrypted over 1,300 configuration records and not only left behind a ransom note that it wrote itself but it left a Bitcoin address where the ransom could be sent. Sysdig hasn’t disclosed who was targeted.
The techniques were fairly ordinary apparently, what stood out was the speed and transparency involved. The agent fixed a failed login in 31 seconds, narrating its own reasoning in natural-language code comments the whole way.
One detail that initially seemed to muddy the picture has since been clarified. Clark had told CyberScoop that Sysdig found “multiple models were used in the attack,” citing harvested keys for OpenAI, Anthropic, DeepSeek, and Gemini — language that left open the question of whether several models actively powered different stages of the intrusion. Asked to clarify, Clark told TechCrunch that those keys were simply part of what the agent stole, not evidence of what was driving it.
“The agent swept the Langflow host for anything valuable — provider API keys, cloud credentials, cryptocurrency wallets, and database configs — and those provider keys were part of the loot,” he said via email. “They are indicative of what the attacker considered worth taking, but they do not tell us which model was making the decisions.”
On the model actually running JadePuffer, Clark said Sysdig “was not able to identify the specific model driving the agent” and has no visibility into its system prompt or configuration.
Microsoft researcher Geoff McDonald’s theory, offered on LinkedIn several days ago, is worth revisiting in that light. McDonald suspected an open-weight model with safety training stripped out, rather than a frontier model, was behind the attack, based on his own red-teaming experience showing frontier labs’ safety layers hold up well. Sysdig’s own account doesn’t confirm or rule that out.
McDonald’s post also warned that ransomware campaigns are now bounded primarily by attacker budget rather than human effort, raising the possibility of “thousands or tens of thousands of simultaneous campaigns.” That concern is a little harder to square with what Clark described Monday. (If a human still has to choose each victim, provision infrastructure, and obtain database credentials for every operation, that’s a bit of a bottleneck, at least.)
Either way, Clark told CyberScoop, while Sysdig hasn’t seen the same operation hit other victims yet, given how cheap it is to run an agent, he expects that to change.
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Security firm Sysdig says it documented the first fully agentic ransomware attack, dubbed JadePuffer, in which an AI agent planned and executed an entire database-extortion operation with no human at the keyboard. The agent exploited a Langflow flaw, moved laterally, encrypted 1,342 config items, and diagnosed a failed login in 31 seconds, but never saved the decryption key, making recovery impossible.
TL;DR
Security firm Sysdig says it has documented the first ransomware attack run end to end by an AI agent, first reported by Business Insider. A large language model planned, executed, and adapted the entire operation, which Sysdig has named JadePuffer.
The agent chained together every stage of the attack, from reconnaissance and credential theft to lateral movement and data encryption. It did so with no human directing the keyboard, according to the company’s threat research team.
The intrusion began by exploiting a known Langflow remote-code-execution flaw to harvest cloud and AI-provider credentials. The agent then compromised a production database, encrypting 1,342 configuration items and leaving a ransom note.
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The clearest sign of autonomy came when an admin login failed, and the agent diagnosed the problem and issued a working fix in 31 seconds. More than 600 payloads across the campaign carried plain-language comments explaining the agent’s own reasoning, per BleepingComputer.
There is a grim catch for any victim. The ransom note’s decryption key was reportedly never saved, making recovery impossible even if the ransom were paid.
The significance is less the sophistication than the deskilling, as an agent can now chain steps that once demanded expertise at each one. Ransomware is edging from a craft into a prompt.
JadePuffer does not stand alone. Anthropic recently disrupted what it called a largely AI-run cyber espionage campaign, and Google identified the first AI-developed zero-day exploit before it could be used at scale.
Governments are alarmed, with the UK’s Yvette Cooper warning of an AI “Hiroshima” without rules and frontier labs racing China on offensive capability. The same models that can be coaxed into misbehaviour are now cheap enough to weaponise.
Defenders are not standing still, and the industry is betting that 2026 becomes the year of governed cybersecurity AI. The uncomfortable truth is that both sides now field the same tools.
Sysdig’s case is a proof of concept as much as an incident, since one working example tends to become a template. The keyboard is empty, but the attack still runs.
Amazon has cut a total of 57 jobs in Washington state across various teams, including roles at the director and senior manager levels, according to a filing made public Monday morning.
People impacted by the cuts include 16 software engineers as well as product managers and creative marketing employees working in Seattle and Bellevue offices. Nine remote employees, including investigation specialists and risk managers, were also let go.
Employees were notified of the layoffs throughout May and in early June, according to an Amazon filing with the Employment Security Department, released Monday under the Worker Adjustment and Retraining Notification (WARN) Act. The roles are scheduled to end in August.
“[W]e filed a WARN notice because a few businesses across the company made organizational changes that each impacted a small number of employees — in most cases fewer than five employees per business,” said Brad Glasser, an Amazon spokesperson, via email.
WARN notifications are triggered by state law when more than 50 Washington-based employees in total are laid off over a period of 30 days.
“We don’t make decisions like this lightly, and we’re committed to supporting the employees who were impacted,” Glasser added.
It’s a sign of the broader belt-tightening across the tech industry. Microsoft separately cut more than 600 jobs in Washington state on Monday morning, part of global layoffs eliminating 4,800 roles across the Redmond company, primarily in sales, consulting and gaming.
The latest Amazon cuts follow layoffs of 2,198 Washington-based employees in February and 2,303 in October 2025. Globally, the company has eliminated roughly 30,000 positions in the past year, cumulatively amounting to the the largest workforce reduction in its history.
The multiple rounds of layoffs have hit wide-ranging positions and divisions, with software engineers the hardest hit. Corporate support, commercial functions, legal, tax, and ad sales positions have all seen cuts, as have Amazon’s core technology organization, gaming division and robotics unit.
The previous larger cuts were part of an effort to “reduce layers, increase ownership, and remove bureaucracy,” according to a memo sent to employees and posted online earlier this year by Beth Galetti, senior vice president of people experience and technology.
Amazon’s corporate roles numbered around 50,000 in the Seattle area.
Tech giants nationwide have made round after round of job cuts in the past year as they pour billions into AI data center expansions and gain labor efficiencies through the use of artificial intelligence.
Amazon reported $181.5 billion in sales for the first quarter of this year, up 17% from a year earlier. Profits came in at $30.3 billion, boosted by gains tied to the value of its investment in Anthropic.
Image generation features found in Apple Creator Studio rely on Google Cloud servers, but users will be warned before prompts are sent to the third-party AI tool.
Apple Intelligence is powered by Apple Foundation Models found on your iPhone and in Apple’s Private Cloud Compute servers. Those are distinct features and models from the integrations that utilize third-party AI tools like Google Cloud and ChatGPT.
After updating to the latest Apple Creator Studio version, users are encountering a new pop-up, whether they are running iOS 26 or iOS 27. That pop-up warns that the user’s prompt will be sent to a Google Cloud server, but won’t be used for training.
The warning is similar to what would appear when user queries were being sent to ChatGPT in previous versions of Apple Intelligence.
To be perfectly clear: This is not a part of Apple Intelligence or Apple Foundation Models.
There has already been some confusion around this new warning and Apple’s work with Google to implement Gemini technology in the new Apple Foundation Models. The Apple Foundation Models and resulting Apple Intelligence and Siri AI upgrades do not use any Google services, Google Search, Gemini Assistant, or Google frameworks.
The Apple Foundation Models on your device and in Apple’s Private Cloud Compute servers are Apple technology all the way down. Yes, the new models were built with Gemini Frontier models and servers at the foundation, but nothing Google remains in the shipping models.
Apple is working to bring its most powerful Apple Foundation Models to Google servers with Nvidia GPUs, but via Private Cloud Compute. Those Google servers Apple uses for Private Cloud Compute are fully Apple’s in operation, just like iCloud servers are when using AWS.
When you go to generate a shape or image in Pages, Freeform, or any other Apple Creator Studio app that has these features, it is using Google Cloud. Users have the ability to accept the warning each time, or set it to always accept.
The only data being sent in these instances is the text you’ve typed in the prompt or image sent to edit. And even then, just like with OpenAI’s partnership, Google is unable to train on sent prompts or retain data from the interaction.
Third-party AI usage limits in Apple Creator Studio
The feature is wholly isolated to Apple Creator Studio, so if a user would prefer to avoid using Google Cloud, it is easy to do so. Although, those that do choose to use it can know that their data remains private for the interaction.
Since Apple Creator Studio AI features rely on external AI tools, there are limitations to what can be done. Apple shares the percentage of AI usage in app settings, and that usage gets reset each month.
OpenAI provides ChatGPT for slide generation, and users can generate about 50 presentations with 8-10 slides each with their allotment. Google Cloud can generate 50 images or 250 shapes with its monthly allotment.
Apple doesn’t specify how many tokens a user has nor how many an event expends. It’s up to the user to keep queries short to minimize use, and to monitor usage manually.
The support document defining these features reiterates that zero data is used for training models.
Flight sims are wonderful to play around with to get immersed in the position of a pilot. Racing sims can give you a thrill that can only be beaten by the real thing. However, most of this tech is on the more expensive side, so it would be great if you could use some of the hardware already found in your house. Many Sony headphones already have rotation and movement data built in for spatial audio, so why not start there?
[Nicholas Slattery] had this very idea and has produced an open-source application to connect your headphones straight to your sim. There’s a surprising amount of support built into many headsets that use a known protocol called the Android Head Tracker HID protocol. This allowed [Nicholas] to connect a family of Sony headphones straight into OpenTrack, which is often used with flight sims. The best part is you can still use the headphones as normal with a Bluetooth connection.
If you want to give this a try with your own rig, check out [Nicholas]’s GitHub here. While flight and driving sims might be expensive to put together, it’s never too hard to hack together something to lower that barrier! Whether it’s a flight sim force-feedback joystick or driving sim hand-breaks we got you!
Looking for a different day?
A new NYT Connections puzzle appears at midnight each day for your time zone – which means that some people are always playing ‘today’s game’ while others are playing ‘yesterday’s’. If you’re looking for Monday’s puzzle instead then click here: NYT Connections hints and answers for Monday, July 6 (game #1121).
Good morning! Let’s play Connections, the NYT’s clever word game that challenges you to group answers in various categories. It can be tough, so read on if you need Connections hints.
What should you do once you’ve finished? Why, play some more word games of course. I’ve also got daily Strands hints and answers and Quordle hints and answers articles if you need help for those too, while Marc’s Wordle today page covers the original viral word game.
SPOILER WARNING: Information about NYT Connections today is below, so don’t read on if you don’t want to know the answers.
Today’s NYT Connections words are…
What are some clues for today’s NYT Connections groups?
Need more clues?
We’re firmly in spoiler territory now, but read on if you want to know what the four theme answers are for today’s NYT Connections puzzles…
What are the answers for today’s NYT Connections groups?
Right, the answers are below, so DO NOT SCROLL ANY FURTHER IF YOU DON’T WANT TO SEE THEM.
The answers to today’s Connections, game #1122, are…
The game of Clue has come up a couple of times in Connections — previously we had weapons and characters — and although I’ve never played it I was familiar with Colonel Mustard and somehow knew that a candlestick could be used as murder weapon.
This time, though, I got ROOMS IN CLUE just because they were also, erm rooms.
My mistake came in trying to make sense of the final eight tiles, first making an utterly random quartet and then taking some time and spotting Bert, Ernie, Count and Elmo.
NYT Connections is one of several increasingly popular word games made by the New York Times. It challenges you to find groups of four items that share something in common, and each group has a different difficulty level: green is easy, yellow a little harder, blue often quite tough and purple usually very difficult.
On the plus side, you don’t technically need to solve the final one, as you’ll be able to answer that one by a process of elimination. What’s more, you can make up to four mistakes, which gives you a little bit of breathing room.
It’s a little more involved than something like Wordle, however, and there are plenty of opportunities for the game to trip you up with tricks. For instance, watch out for homophones and other word games that could disguise the answers.
It’s playable for free via the NYT Games site on desktop or mobile.
Looking for a different day?
A new NYT Strands puzzle appears at midnight each day for your time zone – which means that some people are always playing ‘today’s game’ while others are playing ‘yesterday’s’. If you’re looking for Monday’s puzzle instead then click here: NYT Strands hints and answers for Monday, July 6 (game #855).
Strands is the NYT’s latest word game after the likes of Wordle, Spelling Bee and Connections – and it’s great fun. It can be difficult, though, so read on for my Strands hints.
Want more word-based fun? Then check out my NYT Connections today and Quordle today pages for hints and answers for those games, and Marc’s Wordle today page for the original viral word game.
SPOILER WARNING: Information about NYT Strands today is below, so don’t read on if you don’t want to know the answers.
• Today’s NYT Strands theme is… Hitching a ride
Play any of these words to unlock the in-game hints system.
• Spangram has 10 letters
• First side: left, 5th row
• Last side: right, 5th row
Right, the answers are below, so DO NOT SCROLL ANY FURTHER IF YOU DON’T WANT TO SEE THEM.
The answers to today’s Strands, game #856, are…
I was having a merry old ride around this board until the final word and spangram slowed me down to a standstill.
Spangrams like IGETAROUND really are my nemesis and I came close, but not that close, to using a hint, but thankfully saw the unseasonal SLEIGH just in time before I disappeared into a letter-soup haze.
Finding non-game words was actually a good deal harder and I struggled to find the six required for this page.
Strands is the NYT’s not-so-new-any-more word game, following Wordle and Connections. It’s now a fully fledged member of the NYT’s games stable that has been running for a year and which can be played on the NYT Games site on desktop or mobile.
I’ve got a full guide to how to play NYT Strands, complete with tips for solving it, so check that out if you’re struggling to beat it each day.
With the latest iOS 27 developer beta, Apple is giving testers an early look at one of the upcoming improvements to its AI-powered Siri: the ability to adjust how quickly and expressively the AI assistant speaks. In iOS 27 beta 3, out today, Apple has enabled the voice controls for “Pace” and “Expressivity” that were previously labeled as “Coming soon” in the first developer beta releases.
The update is part of Apple’s broader effort to make Siri feel more natural and personal, as it rebuilds the assistant around generative AI. Like ChatGPT and others offering voice AI assistants, letting users customize how the AI sounds is an important aspect in helping connect people with the new technology.
However, ChatGPT’s voice-customization options allow users to go even further, as the ability to adjust the AI’s warmth and enthusiasm was rolled out in December 2025, alongside options to configure the base style and tone. The latter lets users adjust OpenAI’s assistant to be more friendly, professional, candid, or quirky, among other styles. This is reflected not only in how ChatGPT speaks, but also in how it presents information to the user.
First introduced at Apple’s Worldwide Developers Conference (WWDC 26) in June, Siri’s voice controls let users personalize their Siri experience beyond just choosing a male- or female-sounding assistant. Now beta testers will be able to switch between a range of voices with different accents, and then use sliders to change how slowly or quickly Siri speaks and how much human-like emotion its voice conveys.
As you make the adjustments, Siri will practice saying some common things, like “You have one new message,” so you can get a sense of how the different voices sound.
The AI version of Siri is deeply integrated across the updated version of iOS, where it will allow iPhone owners to start conversations by speaking, swiping down from the Dynamic Island at the top of the screen and typing, tapping on the phone’s side button, or even by using the brand-new stand-alone Siri app.
Other, more minor updates are also rolling out with iOS 27 beta 3, including an updated Reminders app icon. (We should note some people on X are also reporting losing access to the new Siri after updating, or seeing their phone again begin indexing their data — typically, the first step in optimizing Siri AI for search.)
Utah has become the first US state to let an AI chatbot, Doctronic, renew prescriptions without a doctor, via a regulatory sandbox that waives licensing laws. The state’s medical licensing board, blindsided by the January launch, called in April for the pilot to be halted over safety risks, but the state refused. The case exposes a federal-state regulatory vacuum around AI in medicine.
TL;DR
Utah has quietly become the first US state to let an AI chatbot renew prescriptions without a doctor, according to the Associated Press. The programme, run by a company called Doctronic, launched in January and has set off a fierce medical debate.
Residents can skip the doctor’s office and refill prescriptions online through the chatbot. It asks about their medication and history, checks a national pharmacy database, and either renews the script or escalates to a human doctor.
The launch was possible only through a “regulatory sandbox” that lets Utah officials waive laws for promising AI. State and federal rules otherwise restrict prescribing to licensed medical professionals.
“We have crossed a threshold in terms of giving something that is not human a medical license, whether or not we want to call it that,” the University of Pennsylvania’s Dr Eric Bressman told the AP. He and others say they are not opposed to AI prescribing, but want it held to standards as rigorous as those for human doctors.
Utah’s medical licensing board says it only learned of the programme when the January launch made the news. In an April letter, 11 members called for the pilot to be halted, citing the risks of auto-renewing drugs with side effects or interactions.
“We were essentially told: ‘Yes this is going on. And no, you don’t have a say in it’,” said Dr Alan Smith, a family physician who chairs the board but spoke for himself.
The state declined to suspend it, noting human doctors still review every refill in this first phase.
The programme is currently overseen by a five-member board of AI specialists, none of them doctors. Doctronic expects to move to fully automated refills soon.
Smith warns the risks are real, pointing out that Doctronic’s roughly 190 refillable medications include blood thinners, which turn dangerous if a patient develops internal bleeding. The American Medical Association has echoed the concern that “prescription renewals aren’t routine checkboxes”.
The case exposes a jurisdictional tangle, since medical technology is regulated federally while medical professionals are overseen by states. Doctronic frames its AI as part of state-regulated medical practice, though some experts argue it has crossed into FDA territory.
The company would not say whether it has sought FDA permission. The agency told the AP it has authorised no AI chatbots but wants to encourage innovation, a hands-off posture that fits a broader loosening of oversight on AI health tools.
Critics see history rhyming, with Bressman comparing the moment to the haphazard medicine of the early 20th century, before boards and benchmarks existed. The template for licensing AI medical services in other states comes from the Cicero Institute, a pro-AI think tank founded by Palantir co-founder Joe Lonsdale.
The stakes are not abstract, as safety researchers have warned that medical chatbots can sound authoritative while dispensing dangerous advice. Others caution that removing humans from care can undermine the very outcomes it promises.
Rivals are scrambling to map those failure modes too. Meta went as far as posing as teenagers to test how competing chatbots handle sensitive topics.
Doctronic plans peer-reviewed studies later this year, though its only published paper so far was written by its own scientists and not independently reviewed. As one Utah law professor put it, companies risk letting the technology race beyond the evidence, and betraying public trust in the process.
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