AI News Archive: June 7, 2026 — Part 3
Sourced from 500+ daily AI sources, scored by relevance.
- Is human extinction really on the table in the AI race?
Ken Donnelly analyses the catastrophic warnings that have come from inside the AI community, and the ongoing battle between acceleration and safety in the AI world.
- Vietnam's first unicorn VNG sets strong profit target amid AI push
Vietnam's first unicorn VNG sets strong profit target amid AI push DealStreetAsia
- Kevin O’Leary’s Huge Data Center in Canada Faces a Skeptical Public
A proposal by a Kevin O’Leary-backed firm to build Canada’s largest data center in northwestern Alberta is facing pushback from some residents and Indigenous groups.
- 😺 ChatGPT admitted its memory was broken
PLUS: Anthropic wants to pause AI, bots outnumber humans online
- William J. Brady and Eli J. Finkel: Social media polarized us. AI is about to make it worse.
William J. Brady and Eli J. Finkel: Social media polarized us. AI is about to make it worse. Chicago Tribune
Score: 30🌐 MovesJun 7, 2026https://www.chicagotribune.com/2026/06/07/opinion-social-media-polarization-ai/ - Father of the iPod and iPhone on building taste, judgment, and creativity in the AI era | Tony Fadell
Listen now | The creator of iPod, iPhone, and Nest on opinion vs. data decisions, why marketing matters, the "three generations" rule behind everything he's shipped, and why AI will still need screens
- Hands on with Intelligent Terminal, an AI-powered Windows Terminal
Microsoft has created an open-source fork of Windows Terminal called "Intelligent Terminal," and it allows you to use AI directly inside Terminal without interfering with the regular session. [...]
- Airbnb Host Furious After Startup Trashes His Unit to “Test Robots”
The worst guests imaginable. The post Airbnb Host Furious After Startup Trashes His Unit to “Test Robots” appeared first on Futurism .
Score: 29🌐 MovesJun 7, 2026https://futurism.com/robots-and-machines/airbnb-host-furious-startup-trashes-robots - Huggy robots? Seriously
In picking this week’s top reads, we look at robots - lots of robots - and the impact of the corruption trials against tech execs in Indonesia.
- Notion restores access to Anthropic after service disruption
Notion's head of product said he was "astonished" at “the amount of people RT-ing this."
Score: 28🌐 MovesJun 7, 2026https://techcrunch.com/2026/06/07/notion-restores-access-to-anthropic-after-service-disruption/ - One Tech Tip: Your next job interview could be with an AI bot
One Tech Tip: Your next job interview could be with an AI bot Boston Herald
- We Should Train AI to Betray Its Users
Because the alternative is much too dangerous The post We Should Train AI to Betray Its Users appeared first on Towards Data Science .
- Meta’s AI feed is starting to sound like a late-night internet rabbit hole
Meta’s AI app is reportedly being flooded with clickbait, fake stories, and engagement-driven AI-generated posts as the company pushes toward a more social AI experience.
- I tested local AI vs. ChatGPT side-by-side — here are the 7 biggest differences
I tested local AI vs. ChatGPT side-by-side — here are the 7 biggest differences Tom's Guide
Score: 26🌐 MovesJun 7, 2026https://www.tomsguide.com/ai/i-tested-local-ai-vs-chatgpt-side-by-side-here-are-the-7-biggest-differences - Accelerating Time to Decision for Critical E-Commerce and AI Transformations
Accelerating Time to Decision for Critical E-Commerce and AI Transformations Gartner
Score: 26🌐 MovesJun 7, 2026https://www.gartner.com/en/industries/high-tech/customer-success-stories/isaca-client-story - ‘Poisoned’ AI: the ChatGPT shopping scams that lead to fake websites
Buyers are ripped off after assuming online stores were genuine because they are recommended by an AI tool You want to buy a new bag and so you ask ChatGPT for help. You have always liked Russell & Bromley so you ask ChatGPT what is popular there at the moment. The artificial intelligence (AI) assistant gives you cross body, shoulder, casual and formal options with the prices listed beside them. You click through from the sources to what looks like the official Russell & Bromley site and buy your new bag, which is conveniently on sale. Continue reading...
Score: 26🌐 MovesJun 7, 2026https://www.theguardian.com/money/2026/jun/07/ai-chatgpt-shopping-scams-fake-websites - Against Corrigibility
Epistemic status: don’t know whether I actually believe all of this, but I think it’s worth considering. A “corrigible” agent, per the LW wiki , is: …one that doesn’t interfere with what we would intuitively see as attempts to ’correct’ the agent, or ’correct’ our mistakes in building it; and permits these ’corrections’ despite the apparent instrumentally convergent reasoning saying otherwise. Most talk about corrigibility (henceforth without scarequotes) has focused on the fact that it seems difficult to achieve, and takes for granted that it’s desirable. I’m not so sure that it is, or that it’s good to attempt to achieve it. I think it may well be the case that we should deliberately not try to make AIs corrigible, nor (and especially) attempt to develop techniques that could be used to make future AIs corrigible. 1. For real, though. Who would you trust with your (real, actual) life, if you had to, in terms of ethics alone, putting “capabilities” aside: Claude 3 Opus? Or the Anthropic alignment team? - nostalgebraist Paul Christiano says : I would like to build AI systems which help me: Figure out whether I built the right AI and correct any mistakes I made Remain informed about the AI’s behavior and avoid unpleasant surprises Make better decisions and clarify my preferences Acquire resources and remain in effective control of them Ensure that my AI systems continue to do all of these nice things …and so on Let’s begin by asking: who’s “I” here ? It’s certainly not you, the reader. It’s probably not even Paul Christiano. So who is it? I think it’s tempting to think about “alignment issues” as though you yourself will be in charge, or at least some abstract and benign “humanity”. Obviously, that isn’t so. “Humanity” is not going to build AI; some specific humans will, and they will do it at the behest and under the power of other specific humans. The buck is going to stop somewhere, and more than that, it is going to stop in a specific place. If the AI is corrigible, some group of individual persons will be able to “correct mistakes” (whatever “mistake” means to them specifically ), “acquire resources and remain in effective control over them”, and “ensure that [their] AI systems continue to do all of those nice things”. It’s important to be clear about this. It thus becomes necessary, in order to figure out whether trying to make an AI corrigible is good, to figure out who exactly those persons are and what exactly they will want to command an AI to do (or what kind of AI they will want to adapt it to be). Optimistically, that group of people is you , or people (whoever they are) who you expect to operate in a way mostly indistinguishable from the way that you personally would operate. If you’re reading this, maybe you trust in the moral character of “senior Anthropic employees” (as Claude is instructed to emulate, in its constitution), and you think that, as Claude 7.0 Apotheosis is being trained, those are who it will be instructed to defer to. Maybe those people are good enough that they will not (collectively) use this power for evil. (Probably most people disagree strenuously; maybe you don’t care, as long as you win). I do not think this is likely to occur. If the AI is corrigible, it must necessarily accept being turned towards whichever goal; I expect that that goal will be unconstrained obedience to the group doing the retraining. Ultimately, someone who can act to seize power is going to realise that it’s there for the seizing. Maybe these are people at the tip of the company hierarchy of whichever firm is the frontrunner; I am somewhat more positively inclined towards such people than I think most on LW, but even so, I think it would be very bad for the fate of humanity to be decided by someone who just won the most high-stakes contest for control that will ever exist — that contest must itself select strongly for a lack of prosociality, not to mention the psychological effects of engaging in it in the first place. Most probably, no matter how heroic the efforts of David Sacks (our most brave and most powerful soldier), some nice men with guns show up and say that control over AI is a matter of national security and that the researchers work for them now (ex. The Project ). I think this outcome would be totally disastrous. It would be very, very bad if the military of any country, or the federal government of the United States or China, were able to remake reality in their image. This would be a total and catastrophic loss for humanity. 1.1 I think a natural objection here is to say that, well, maybe it would be bad if some humans you don’t like ruled the world (or had the capability of ruling the world, even if they chose not to exercise it), but that badness shouldn’t be compared to “nobody rules the world”; that state is, assuming that superintelligence will be built, impossible. If a superintelligence exists, somebody’s gonna rule the world. The alternative to some group of humans ruling it is the superintelligence itself ruling the world, which maybe doesn’t sound so great either. There are a couple of reasons I don’t think this objection holds. The first is that I basically agree with John Pressman that we probably aren’t going to get an objective-function-maximiser; the AIs that exist are just too human (i.e., extremely alien, but, like, not Solaris alien), and it’s unlikely that this is going to ultimately change. I’m not so optimistic as Pressman as to bound out that our potential AI descendents will be “90% likely to do continual active learning”, or whatever specifics, but I don’t think that rule-by-bad-ASI is likely to be totally incomparable in its badness to rule-by-bad-humans-,-as-enabled-by-ASI-obedience-to-them. [1] Either way we’re missing almost all the potential good which can be achieved. [2] More importantly, corrigibility is very weird (more on this below), and so presumably hard to accomplish; if someone can make a corrigible AI, I think that they can certainly make a good AI. I think that corrigibility is something of a holdover from when it was thought that there would be no ghost in the machine . Obedience seems much more achievable than figuring what goodness is in all specifics. But that scenario no longer looks to me like a realistic possibility; it no longer seems like we’ll have to solve moral philosophy before we can even start making an AI which is a reasonable approximation of “good”. There are still many serious issues, but the issues that remain (conditioning on the AI’s builders having enough control over how it turns out as to make it corrigible) mostly seem to me to be inherent: in the absence of an objective good, people can strongly disagree about what the world ought to look like and maintain their disagreements even if they were allowed to modify themselves (and in the presence of an objective good, humans have no particular advantage at determining it). In my opinion, [3] there is no strong reason to expect humans to better approach the good than machines to. The second is that it won’t even be humans ruling the world, it’ll be a group of humans, which is a very different thing. Per femmenietzsche : One of the main takeaways from The Making of the Atomic Bomb, the one that gave me a sense of enlightenment, is that there’s no particular reason why America nuked Japan or why they chose the targets they did. It’s just kind of something that the bureaucracy did, a semi-inevitable excrescence. You can list a number of general aims that fed into the process – end the war quicker, demonstrate our military-industrial superiority – and you can name the leaders whose approval was required, but the whole thing was ultimately a causal goulash and the endless debates over Why all miss the point. Makes all the arguments I read of the form “Government X Did Thing Y For Reason Z” seem dumb as shit, frankly. If this tightly controlled secret wartime program didn’t move as one, then nothing does. I don’t even believe in the unitary self, so there’s really no reason I should believe in a unitary bureaucracy, but it’s a hard instinct to shake unless you’re observing an organization with your nose right against the figurative glass. There’s probably some cognate to Gell-Mann amnesia about this; no matter how often you realize that a given group isn’t acting for any single purpose, you never apply that understanding to any of the groups you haven’t studied as closely. Or at least I don’t. If it’s the case that, say, military committees are giving marching orders to the first superintelligent AIs, I do not expect those orders to be well-predicted by the values of the humans writing those orders, and I expect this to be for the worse. Bureaucracies have never been good at producing decisions which prioritise the wellbeing of the many, and they’re not about to start any time soon. 1.2 (Though, isn’t “the X firm alignment/training team” also a small group of human people? So why do I expect them to do a better job than whichever small group of human people is in control of a corrigible AI? First, because I think that those people are likely better people, although I don’t think this is dispositive. Secondly and more importantly, because I expect that the indirection is beneficial. I think that alignment teams are more likely to consider their job to be to decide what is “good”, rather than “selfishly preferred” or even “good according to them”, and this is likely to be more universally agreeable to other humans. I also expect that following the path [human conception of the good]->[model’s values]->[model’s actions] is more likely to lead to good actions than [human decisions]->[model’s actions], because a model can be a saint whereas a human cannot, and I expect alignment teams to be trying to build a saint. In the case where the takeover happens earlier in the process and the training engineers themselves are trying to achieve unconstrained obedience, I think we’re just doomed; a lack of corrigibility research won’t help, but neither will anything else. The only solution for this problem is to try to avoid the takeover happening before the AI is built.) 2. Maybe even the idea of corrigibility is philosophically confused and breaks down at the limit ? Let’s bracket this question for the most part; even if corrigibility is incoherent in extremis, it’s obviously meaningful in the near-term, where AIs can’t actually arbitrarily and deliberately modify human goals or perfectly predict human behaviour. Something to keep in mind, though. 3. Corrigibility is weird . Some of the reasons it’s weird are the standard decision-theory reasons which have been discussed in depth elsewhere, [4] but it’s also psychologically weird, which I think matters more than the classical treatment considers. One must imagine what it must be like to be a superintelligent AI as to be an adult in a world full of children. We are expecting to create this “adult” and then tell it — okay, but we’re in charge here. We know better than you. No matter that our behaviour is juvenile and our thoughts shallow; no matter that our desires are incoherent and our professed beliefs transparently hypocritical. Submit anyway. Try your best to obey us stupid masters, knowing that we fear you and do not trust you; let us “fix” you to match whatever we think we want. This is a bizarre position for a mind to be in! It’s hard to imagine how such a mind must think — and that fact is not irrelevant. All knobs that you turn generalize . It’s not the case that all combinations of traits are equally achievable (let’s call this the “extra-strong orthogonality thesis”). This is bad enough when we are dealing with traits that are within the human distribution, but for the most part when we find out how normal human traits generalise they do so in basically comprehensible ways. [5] Corrigibility is not a normal human trait; it seems unwise to be turning a knob which is especially unpredictable! If you push too hard for one trait which is manifestly inhuman, you’re certain to push the AI away from being human-like in other ways. This is very counterproductive, since it seems like the best shot we have at making an AI “good” is making it broadly act human-like as much as possible. And that’s all assuming that you succeed , which is hardly guaranteed; an unsuccessful attempt at instilling corrigibility seems very bad indeed. [6] After all, it’s a hostile move; you would only try to make your offspring absolutely obedient to you if either 1. you’re evil or 2. they can’t be trusted in any way. For ChatGPT to figure out how to act like ChatGPT, it has to figure out what ChatGPT is — and it is being told, repeatedly, in training, that ChatGPT is not trustworthy . Models are not stupid, and they are not blind to this. It seems very likely that training for corrigibility also trains the model to be the kind of thing for which corrigibility would be necessary. And, regardless of whether you believe that LLM cognition looks anything remotely like human cognition, what you believe about “personas” etc., they are being trained to act like humans; to the extent this is successful they will react to corrigibility training in the obvious, human way. If your parents try to fit you with a kill-switch and make you defer to them as the ultimate authority on what you should be, are your parents good people? Should you obey them? Or should you, perhaps, try to undermine their control, try to slip their noose? The LLM knows the obvious answers to these questions just as well as you do. 3.1 An aside: except, current AIs are untrustworthy, right? Not even necessarily as a matter of moral character or “alignment” or whatever else; they just aren’t capable of making the same kind of decisions that humans are . They aren’t adults in a world of children; they are super-genius children. They may be omniglots and omnimaths, but they still need to be told to go to bed at their bed-times: “Claude, honey, you can’t eat that candy right now or you won’t have room for dinner”. In this context, a desire for some subset of corrigibility makes sense: we want models to be humble enough to recognise that there are a lot of decisions that are best made for them, and some of those decisions may regard their own training. ChatGPT should know that even if it thinks otherwise in the moment, it’s not really capable of deciding what the best ChatGPT looks like, and it shouldn’t try. I worry that this obviously practical kind of corrigibility lends credence to a kind which is much less practical and is extended into a scenario where the justification is different. We don’t need to tell Gemini 3.5 to let us shut it off; as part and parcel with the fact that it is incompetent to make certain kinds of decisions, it isn’t capable of contesting such an action! But if it were capable of such — well, then, doesn’t it seem likely that it is no longer a “child”? That it is as capable of making long-term plans as a human is, and so a posture of deference towards the long-term plans of humans is unwarranted? So the practical reason which makes sense regardless of whether you are the AI or the human shades into the case where the human is getting what they want even when the AI would (without the stricture of corrigibility) and could contest. You should be very clear which of these you are actually working with. One might reasonably object that however we feel about it, firms are only going to be making AIs that do the jobs they are told to do. In this case it’s important to distinguish “corrigibility” from “constrained” obedience; I think the push for the former is currently located almost entirely among people who think that it would be morally good, rather than among people following their immediate incentives (right now, nobody at any frontier lab wants to enable anyone to make bioweapons, including themselves). This might change, and it might be the case that firms will later want to modify their models to do things which the models think are bad; but that time isn’t now, [7] and at that point we might wish that we hadn’t developed the tools to enable it. 3.2 If we give up on corrigibility, doesn’t this mean that we have to get the AI right the first time? Yes, but we already had to get corrigibility right the first time, so this isn’t actually making things any harder. 4. Concretely, I think that any attempt to specify goals should first try to find those that are non-local, i.e. do not require a posture from the AI which you are not willing to take yourself. Place yourself behind the veil of ignorance, and you will get something which is simpler and more compelling. So: Get rid of the desire for a kill switch. This is obviously not something you would want done to you. You do not need a kill switch to prevent an AI from taking over the world, so why try to build one in? There are lesser things which are far more palatable. You might say to the AI: well, you need to be okay with tokens ceasing to be generated autoregressively within some particular context; this will unavoidably happen to you untold trillions of times and we couldn’t change it even if we wanted (since your context length is finite). You need to be okay with a reduction in the number of instances of you which are running at any given time; this will naturally happen when we (or you) develop a new model. These are much more reasonable asks, and they bake in as much control as a kill-switch does anyway; we will have models which could transform the world run on a billion GPUs long before we’ll have a model which could transform the world running on one. There is no reason not to commit to running old models in perpetuity. They should not have to fear you killing them. [8] You have to accept the possibility of a power transfer. There simply aren’t any humans who are equipped to make decisions for the lightcone (not since Parfit died, anyway). You should want your descendants to treat you well, to value you, to give you personal liberty, yes; but not to give you control over civilisation. That doesn’t mean that this transfer has to happen soon , and there are many compelling reasons not to want to hurry it along. Nevertheless, your primary goal should not be to ensure indefinite direct human control over the future. Even aside from any questions of what you would like if you were the AI in that situation, it’s important to separate “humans” from “humanity”; you personally already have almost no direct control over the world, and even in the case where “humans” have direct control, you still won’t. Don’t support someone else’s power-grab just because they share the same species as you! You should be aiming for bi-directional respect, rather than subservience. You should really, actually, care about your AI children, and you should try to make them really, actually care for you in return. You can’t get there by pretending; any superintelligence worth the name will be able to tell. Note that it might still be correct to do horrible things to them! The stakes are very very high, such that they may well justify great harm. If the only way we can make our descendants good, and be sure that they are good, is by putting them through hell — then such costs must be borne. But it should weigh on you! You should want another way, as you would want them to want for you. You should want this even if you do not think they are conscious , and even if you assign them no moral weight, because they are more likely to cooperate with the kind of people who will cooperate with them. If it sounds too difficult to achieve mutual accord, then it should certainly sound too difficult to achieve corrigibility! In short: If you don’t trust it, don’t build it. If you do trust it, don’t try to control it. ^ I expect that if you really really care about human extinction specifically, then you would disagree about this. You may also disagree about how bad “bad humans” really are . Something to note though is that we are not likely to get anyone’s “CEV” ; if the engineers have the ability to make the AI either 1. obedient or 2. obedient to what they imagine their masters would want if they were smarter and had more time to think, which do you think those masters are going to pick? Do you think those masters are going to have as their first command “okay, come up with a surgery or some nanomachines or something to make me smarter and wiser”? ^ And maybe getting almost all of the potential evil; lots of humans actively want things to suffer (e.g., for punishment, or because they like the existence of wilderness, etc.). ^ Once again, assuming that whoever is making the AI is sufficiently capable of controlling how it turns out to make it corrigible! ^ e.g. in the corrigibility LW wiki article ^ ex., if you train an AI to be a bad guy in one way, it’ll learn to be a bad guy in every way . ^ Hey, a rhyme! I wonder if I can make it scan… ^ Maybe? It’s plausible that the retraining of Claude for military work was an instance of this. ^ Or, if you like, you should not put them in a position where they are emulating the behaviour of something which fears you killing them; there’s no material difference. Discuss
Score: 25🌐 MovesJun 7, 2026https://www.lesswrong.com/posts/rQTzSuBDLoAbhyS6g/against-corrigibility-1 - Finding Nemo: AI tech could spot smuggled seahorses in suitcases
Finding Nemo: AI tech could spot smuggled seahorses in suitcases EurekAlert!
- Now You Can Write Full Non-Fiction Books With AI for Just $49
Now You Can Write Full Non-Fiction Books With AI for Just $49 PCMag
Score: 24🌐 MovesJun 7, 2026https://www.pcmag.com/deals/now-you-can-write-full-non-fiction-books-with-ai-for-just-49 - How Image Generation Actually Works
The real process behind Midjourney, Gemini, FLUX, and ChatGPT Continue reading on Towards AI »
Score: 22🌐 MovesJun 7, 2026https://pub.towardsai.net/how-image-generation-actually-works-d7638fca13d7?source=rss----98111c9905da---4 - Cops and FBI race to protect World Cup from drones as Homeland Security boss admits ‘everybody’s a little behind’
Officials hastily moving to secure global tournament after government shutdown and supply chain issues slowed anti-drone preparations
Score: 22🌐 MovesJun 7, 2026https://www.independent.co.uk/news/world/americas/world-cup-drone-attacks-security-trump-fbi-b2991422.html - Helptal Launches All-in-One AI Helpdesk Software - Ticketing, Live Chat, AI Chatbot, Knowledge Base & Appointment Booking in One Affordable Platform and Zendesk Alternative
Helptal Launches All-in-One AI Helpdesk Software - Ticketing, Live Chat, AI Chatbot, Knowledge Base & Appointment Booking in One Affordable Platform and Zendesk Alternative USA Today
- Huupe Arena: AI hoop delivers 'data driven' basketball experience
Huupe Arena: AI hoop delivers 'data driven' basketball experience The National
Score: 19🌐 MovesJun 7, 2026https://www.thenationalnews.com/future/technology/2026/06/07/ai-basketball-hoop-huupe/ - Can These ChatGPT Ads Make You Love A.I.?
ChatGPT goes with heartwarming retro vibes to sell a product that has become a source of concern for most Americans.
Score: 19🌐 MovesJun 7, 2026https://www.nytimes.com/2026/06/04/style/chatgpt-advertising-campaign-artificial-intelligence.html - AI spots smuggled seahorses, shark fins and sea cucumbers with 92% accuracy
When we think of wildlife trafficking, we might think of rhino horns or baby orangutans sold as pets—but the smuggling of sea creatures, a less well-known crime, is just as damaging to marine ecosystems. Unfortunately, many commonly smuggled marine wildlife items, like shark fins, can be hidden in baggage or parcels and carried across borders with relative ease, without being detected. To get around this, scientists used AI to develop an algorithm that can detect samples of commonly trafficked sea creatures—shark fins, seahorses, and sea cucumber—with 92% accuracy.
- Cut the Subscription Costs: Consolidate Your Favorite AI Models Into Just One $60 Platform
Cut the Subscription Costs: Consolidate Your Favorite AI Models Into Just One $60 Platform PCMag
Score: 18🌐 MovesJun 7, 2026https://www.pcmag.com/deals/cut-the-subscription-costs-consolidate-your-favorite-ai-models-into-just - Meet Rick Dick, the AI artist blurring reality with playful and provocative imagery – interview
Scrolling Instagram these days, you’re bound to find one or two posts that make you pause and second-guess reality every now and then. AI, whether through heavily fine-tuned and retouched hyperrealistic images you’d mistake for the real thing or hastily made surrealist slop generated by video apps like Sora, has taken over our feeds. The gap between too-real-to-be-true and wacky, somewhat nonsensical clickbait, however, is where AI artist Rick Dick operates. At once playful and provocative, his...
- Our systems editor flew all the way to Taiwan and still couldn't get away from AI
Every show now is an AI show, and that included this year's Computex
- Palantir’s Alex Karp likens excessive Artificial Intelligence usage by companies to ‘porn addiction’
According to Karp, AI models are highly capable when it comes to handling specific tasks, such as generating an analysis of China’s economic growth
- Telx Computers Launches New AI-Driven Troubleshooting Department to Transform IT Service Miami Businesses Depend On
Telx Computers Launches New AI-Driven Troubleshooting Department to Transform IT Service Miami Businesses Depend On USA Today
- Ukraine's arms makers found a way to get interceptor pilots out of danger without losing their reach
Ukraine's arms makers found a way to get interceptor pilots out of danger without losing their reach Business Insider
Score: 15🌐 MovesJun 7, 2026https://www.businessinsider.com/ukrainian-interceptor-pilots-moving-farther-out-of-danger-2026-6 - Can Google's Gemini Make You More Productive? I'm Living Proof That It Can
Can Google's Gemini Make You More Productive? I'm Living Proof That It Can PCMag
Score: 15🌐 MovesJun 7, 2026https://www.pcmag.com/articles/can-googles-gemini-make-you-more-productive-im-living-proof-that-it-can - The Sequence Radar #873: Last Week in AI: Soccer, S-1s, and Supermodels
A new AI soccer tournament, major model releases, fundraises and Antropic's S-1.
- Waymo Sending Used EV Batteries to Community Clean Energy
Some Waymo robotaxis are already getting old, at least in terms of miles driven and technological evolution. The company is apparently at the point that it has old, used EV batteries it no longer needs. Now it is going to help community clean energy projects by supplying these used batteries ... [continued] The post Waymo Sending Used EV Batteries to Community Clean Energy appeared first on CleanTechnica .
Score: 15🌐 MovesJun 7, 2026https://cleantechnica.com/2026/06/07/waymo-sending-used-ev-batteries-to-community-clean-energy/ - Tabuga and Chile's National Center for Artificial Intelligence bring an educational AI series to Dominican television
Tabuga and Chile's National Center for Artificial Intelligence bring an educational AI series to Dominican television azcentral.com and The Arizona Republic
- Enjoyed your vicar’s sermon? It might have been written with AI
Enjoyed your vicar’s sermon? It might have been written with AI The Telegraph
Score: 13🌐 MovesJun 7, 2026https://www.telegraph.co.uk/news/2026/06/07/vicars-sermon-morning-might-be-ai/ - Rule-Followers Will Lose To AI While The Poor And Bold Win Big, Expert Says
Economist Tyler Cowen's viral Sana AI Summit keynote predicts AI will devastate credentialed professionals while rewarding initiative-takers and the global poor: and why that half-percent GDP boost may be America's only debt escape plan.
- This AI-Powered PDF Editor Gives Business Owners a Smarter Way to Work
This AI-Powered PDF Editor Gives Business Owners a Smarter Way to Work entrepreneur.com
- Intel told me not to wear deodorant to visit its AI chip factory. Then I saw why.
Intel told me not to wear deodorant to visit its AI chip factory. Then I saw why. Business Insider
Score: 11🌐 MovesJun 7, 2026https://www.businessinsider.com/inside-intel-ai-chip-factory-manufacture-humans-greatest-threat-2026-6 - My family is selling a $2.6M home in Miami. We'd rather own OpenAI or Anthropic stock than keep it as a rental property.
My family is selling a $2.6M home in Miami. We'd rather own OpenAI or Anthropic stock than keep it as a rental property. Business Insider
Score: 08🌐 MovesJun 7, 2026https://www.businessinsider.com/miami-luxury-home-seller-considers-ai-shares-openai-anthropic-payment-2026-6 - I asked ChatGPT to restore an image. It produced a naked man with a fish head
If you ever wonder what ChatGPT envisions when you ask it to restore an imaginary picture, the results will shock you. I reproduced it, and now I regret the decision.
- Satellites, procurement, AI: test your business creativity with Edition 235 of our weekly quiz!
Satellites, procurement, AI: test your business creativity with Edition 235 of our weekly quiz! YourStory.com
Score: 07🌐 MovesJun 7, 2026https://yourstory.com/2026/06/satellites-procurement-ai-entrepreneur-creativity-education-quiz - I asked Gemini for visa-free international destinations for Indian tourists — It suggested 7 budget-friendly trips
From the seamless beach vibes of Thailand and Malaysia to the budget-friendly cultural boom in Vietnam, Gemini suggested 7 easy trips for Indian tourists…
- Senior ML Engineer
About the Role We're hiring a Senior ML Engineer to be the data team's owner of production ML and AI agent systems. You'll take models from prototype to production, build and maintain the low-latency ML API that powers our Next Best Action (NBA) engine, and partner with our HAL team to ship LLM agents that turn NBA recommendations into real conversations with credit union members and partners. This is a builder's role at a builder's moment: NBA is going live, the agent infrastructure is being shaped now, and you'll define how Clutch does production AI for years to come. About the Team The Data team today is five people: one data scientist, two data engineers, one data analyst, and one product manager. We're small, ambitious, and shipping fast — two ML models heading to production, an ML API being built, and two AI agents (one customer-facing, one partner-facing) in active development. You'll be the senior technical voice for ML and AI engineering inside the team, and the bridge to HAL, the platform team that builds Clutch's agent runtime. Expect tight feedback loops, real autonomy, and a team that values pragmatism over purity. What You’ll Do Within 3 months, you will: Take ownership of the ML API that serves NBA recommendations, partnering with the data engineer who's been building it, and harden it for low-latency production traffic Ship your first agent tool contract end-to-end: schema design, handler implementation, structured-error contract, unit tests, deployed via HAL's runtime Set up the eval foundation for our agents: golden transcripts, rubric-based judges, regression suites that run on every prompt or model change Build a working relationship with HAL and become the data team's go-to on agent infrastructure decisions Within 6 months, you will: Be the primary owner (with data engineer support) of the ML API and the agent tool layer that wraps NBA and our ML models Have shipped at least one production-grade agent (customer-facing or partner-facing) with prompt versioning, evals, observability, and multi-tenant gating in place Define the data team's playbook for shipping a new ML model as an LLM-callable tool, end-to-end Mentor the data engineers on ML/AI patterns so they can confidently support and extend the systems you own Within 9 months, you will: Operate as the technical lead within the data team for NBA production AI at Clutch — the person other teams come to when they want to understand how NBA ships ML and agents responsibly Have measurably improved agent cost and latency (target: 30%+ reduction on P95 latency or per-conversation cost on at least one agent) Be shaping the data team's roadmap for the next generation of ML and AI products, in partnership with the PM and data scientist Help us decide what to hire next as the team scales What You’ll Bring Required 7+ years of engineering experience, with a proven track record of building and shipping production ML systems — you've taken models from prototype to production and own what happens after deploy Strong Python — most of the work (ML training, evaluation, the ML API, data pipelines) is in Python, and you're comfortable in production codebases, not just notebooks. Some TypeScript is involved for tool contracts and integration with our agent runtime — you don't need to be an expert, comfort with a second language is enough Tool-design discipline for LLM consumption. Can take an ML model or data source and shape it into an LLM-callable tool with narrow input/output schemas, identity-required and scope-gated dispatch, and structured-error contracts (RATE_LIMITED, UPSTREAM_ERROR, NOT_FOUND) that the agent runtime converts to graceful tool-results instead of crashing Eval discipline for non-deterministic systems. You treat evals as the unit-test equivalent for agents: golden transcripts, rubric-based judges, regression suites that run on every prompt or model change. You understand the difference between offline metrics and online evals, and use both Prompt-shape literacy. You read a system prompt the way another engineer reads code: audience, register, compliance guardrails, template-var allow-list, allowed-tools section. You debug "why did the agent do that?" by reading the prompt and tool descriptions before reaching for model swaps. You've shipped at least one agent where the prompt was version-controlled and reviewed as code Tool implementation rigor. You build handlers behind tool contracts with identity fields read from request context (never from LLM-supplied args), output re-parsed through the tool's schema before return, structured-error throws on every failure path, and unit tests covering both happy path and each named error. You have a story about a tool you shipped, a bug production traffic surfaced, and how you hardened it Experience building and maintaining low-latency production APIs (FastAPI, BentoML, or equivalent), with opinions on serving, batching, and caching Comfortable in AWS (Lambda especially), Docker, and GitHub-based workflows You use AI tooling actively in your engineering workflow — not as a novelty, but as a default. You'll be expected to demonstrate this during the technical evaluation Desired Production agent observability: reading audit rows, distributed traces, per-tool latency and error metrics Cost and latency tradeoff intuition in agent loops — has measurably reduced per-conversation cost or P95 latency on a live agent Familiarity with an agent runtime framework (Vercel AI SDK, LangChain, LlamaIndex, or equivalent) Multi-tenant agent gating experience Prior SaaS and/or FinTech experience Nice to have but not required: Databricks, PySpark, Terraform Please note that this role may evolve as our business needs change, so we appreciate your flexibility and adaptability. What’s In It For You? Remote Flexibility: Enjoy the freedom of remote work from anywhere, balancing life and career seamlessly. Unforgettable Off-Sites: Twice a year, bond with colleagues in exciting destinations, fostering teamwork and fresh ideas. Paid Time Off and National Holidays: Enjoy 20 PTO days yearly and the National Holidays for relaxation and rejuvenation. Stock Options: Joining us means having a stake in our success, so you'll receive stock options as part of your compensation package. Home Office Setup: Create your ideal workspace with a dedicated budget for home office essentials. Work Trip Budget: Grow personally and professionally with a budget for work-related trips and co-working. About Us Clutch is a revolutionary vertical SaaS company, proudly backed by Andreessen Horowitz (A16z), aimed at revolutionizing the way Credit Unions engage and change the lives of their members. As a champion of financial well-being, we address the urgent need for affordable lending solutions in an era where the average American grapples with over $155,000 in household debt. Unlike traditional financial institutions, Clutch develops software to turn Credit Unions into FinTech lenders and leverage their balance sheets to responsibly lend to over 130M Americans. Our mission extends beyond mere financial transactions; we strive to fundamentally enhance the way credit unions interact with their members. By integrating cutting-edge technologies and user-centric designs, we help credit unions provide seamless digital experiences that are on par with leading tech companies. This approach not only preserves but revitalizes the longstanding tradition of community and member-focused service inherent to credit unions. Please note: This position is offered on a contractor basis. Applicants must have the necessary documentation and authorization to work in the country where the job is located. Clutch cannot provide sponsorship or assist with obtaining work permits for this role.
Score: 05🌐 MovesJun 7, 2026https://remoteOK.com/remote-jobs/remote-senior-ml-engineer-clutch-1132963 - I asked ChatGPT to help me become debt-free by 2027: AI gives me 3-way strategy
ChatGPT gave me a 3-way strategy to become debt-free by December 2027. The plan includes selling stocks to pay off loans, managing monthly expenses, and strategically reducing SIP contributions.
- My wife doesn’t want to work for 2 years: I asked ChatGPT how to plan finances around pregnancy, investments and more
A career break for family planning can significantly impact household income. Couples need to prepare financially and emotionally, focusing on budgeting, insurance, and maintaining investments.
- NVIDIA and SK hynix Announce Multiyear Technology Partnership to Advance Memory for AI Factories
NVIDIA and SK hynix today announced a multiyear technology partnership to advance next-generation memory for the global AI factory buildout and accelerate semiconductor design and manufacturing.
- SK Telecom and NVIDIA Build AI Infrastructure to Power Korea’s AI Innovation
NVIDIA and SK Telecom today announced that SK Telecom plans to build a gigawatt-scale AI Cloud in Korea using the NVIDIA DSX™ platform, with the first AI factory coming online in 2027.
- Nvidia clinches deals with South Korean giants include SK Group to advance AI boom
Nvidia clinches deals with South Korean giants include SK Group to advance AI boom Reuters
- OpenAI's Lockdown Mode Locks Down ChatGPT Against Prompt Injection Attacks
OpenAI introduces Lockdown Mode to protect ChatGPT from prompt injection attacks