A hacker who breached Suno reportedly revealed source code and training-library details showing the AI music generator scraped millions of songs and lyrics from sources including YouTube Music, Deezer, Genius, Pond5, Jamendo, Freesound, and podcast RSS feeds. "The hacked data is a rare look at exactly how AI models and tools are built," reports 404 Media. "Suno is one of the largest AI music generation tools on the internet, and has been the subject of several major lawsuits from the record industry, which accused the company of training on millions of copyrighted songs." Suno maintains that its models were trained on publicly available music files and metadata as fair use. 404 Media reports: The Recording Industry Association of America accused Suno of ripping songs directly from YouTube; the hacked data seen by 404 Media confirms this. The hacked material includes source code that appears to be from 2023 and 2024 that includes scraping instructions and details about the scope of at least some of the scraping. For example, the comments in one file note that they will pull from "genius_hq, youtube_music, freesound, jamendo, imp, deezer, ytm_tagged," and that "non-music will be filtered out." A file called "youtube_music" notes that at the time the file was last updated, it had ingested "2,013,545 music clips." Another file contains comments about different datasets Suno had created, which included "113,879 hours of youtube_music," "17,615 hours of genius_hq," "410 hours of free sound," "19,514 hours of imslp," "3,726 hours of jamendo," "62,117 hours of pond5_music," "12,287 hours of deezer," "152,162 hours of ytm_tagged," and "103 hours of musescore_lyrics." In total, this is at least decades worth of music.
Other code the hacker shared with 404 Media appeared to look specifically for vocals by searching specifically for acapella versions of songs on YouTube. The code also suggested that Suno was using proxies to scrape songs from YouTube through a company called Bright Data, which sells scraping tools, infrastructure, and data services. Additional code shows that with the help of an online tool called PodcastIndex, Suno identified 420,000 different podcasts that had at least five, 30-minute episodes and sought to download roughly 1 million hours of podcasts.
[...] The hacker, ellie.191, told 404 Media they breached the company by hacking an individual employee using the Shai-Hulud worm, a supply chain attack that allowed hackers to harvest GitHub and cloud service credentials. They said they also accessed Suno's customer list, which included customers' emails and/or phone numbers and Stripe payment details, depending on what they used to login. The hacker provided a sample of some of the customers, some of whom confirmed to 404 Media they had used their phone number to sign up for Suno and said they were never notified of a breach. The hacker told 404 Media they had no specific motivation for hacking Suno and said "I like to hack anything and everything."
OpenAI's first hardware device is a limited-edition desktop keypad called the Codex Micro that lets users monitor and control AI coding agents. Axios reports: Codex Micro is a collaboration with Work Louder, a boutique hardware company known for customizable mechanical keyboards and shortcut controllers for developers and designers. The small, square macro pad -- with backlit keys, a rotary knob and a tiny joystick -- sits beside your regular keyboard as a physical shortcut box for common Codex actions and shows the status of your agents. The keys are customizable and include a push-to-talk option as well as a dial to adjust your reasoning setting. Codex Micro is a niche device for Codex power users and will only be available until it sells out. It's priced at $230.
En juin 2026, Elon Musk réalisait avec SpaceX la plus importante introduction en Bourse de l’histoire. Un mois plus tard, l’entreprise est presque revenue à son point de départ, après une envolée aussi spectaculaire qu’éphémère.
Pour booster les usages agentiques, OpenAI a cru bon de fusionner les applications ChatGPT et Codex sur Mac et Windows. Mais cette nouvelle interface, pensée pour le développement de gros projets, relègue étrangement le simple chatbot au second plan. Ses premiers utilisateurs ne comprennent plus rien.
Grok Build, l'outil de codage en ligne de commande de xAI, envoyait les dépôts entiers de ses utilisateurs vers le cloud de l'entreprise, secrets compris. Elon Musk a promis de tout effacer, mais la communication de SpaceXAI peine à convaincre.
Avec son GLC 100% électrique, Mercedes vient rappeler sur le marché des SUV premiums, qu’il entend bien disputer la tête de son segment notamment au très récent BMW iX3. Il faut dire que son rival de Bavière a mis la barre haute, notamment d’un point de vue technologique. À Stuttgart, on a sorti l’artillerie lourde, et ils comptent bien le faire savoir. Nous l’avons essayé sur les exigeantes routes alpines.
Des « Etoiles » plein les yeux
Il y a très peu de chances que vous confondiez le nouveau GLC avec son prédécesseur. Déjà, il apparait beaucoup plus massif, et cela se voit dans les cotes, avec 4,86 m de long. Son allure de SUV coupé d’une certaine façon, nous saute aux yeux. Les responsables derrière les crayons ont réussi à donner du dynamisme visuellement à ce SUV. Un peu à la façon d’un Porsche, le voisin automobile de la région. Il a du style ce nouveau GLC. La touche de classe, tout en continuant à avoir l’air futuriste, c’est la prouesse réussie par Mercedes.
Personne ne passe en effet à côté de cette calandre massive et ce nouveau regard typique des dernières productions du constructeur. Entendez par-là une signature lumineuse intégrant une étoile dans chaque phare. En jetant un œil dans notre rétroviseur sur un GLC qui nous suivait, dans une configuration identique à la nôtre, on a constaté dans un tunnel la calandre et l’Étoile complètement illuminées, lui conférant une présence de nuit assez impressionnante. Même chose derrière, on trouve un bandeau rouge intégrant deux paires d’étoiles, là aussi histoire de savoir à qui on a affaire.
Un écran « Hyperscreen » de 39 pouces
BMW avec son iX3 a démontré il y a quelques mois que le combat entre les premiums se joue surtout à l’intérieur. En réponse à sa bande d’informations parcourant toute la planche de bord, Mercedes a dégainé une nouvelle version d’Hyperscreen toujours plus spectaculaire. Dans le GLC, on parle d’une dalle unique large de… tenez-vous bien… 39 pouces! Alors d’accord, ça en jette. Néanmoins on ne peut pas s’empêcher de penser que cela laisse finalement moins de place à des matériaux raffinés. Ne vous inquiétez pas, on ne manque pas de cuir, d’aluminium brossé, de revêtements glossy à souhait.
La présentation, il faut bien le reconnaitre, en met plein les mirettes, tout en étant d’une certaine façon assez simple. Mention toujours aussi spéciale pour les aérateurs ronds au design toujours aussi aéro. On a très bien compris où mettre les téléphones, tout comme les gourdes aux emplacements parfaitement identifiés sur la console flottante. Même si beaucoup de réglages passent par l’écran, on a toujours des accès directs via des commandes physiques pour les sièges, les 4 vitres et la plupart des fonctions essentielles. Pour les autres, on peut en partie se reposer sur la commande vocale assez performante. Une caméra dédiée permet de faire des selfies, mais aussi de suivre une réunion Teams pendant ses déplacements.
Des performances de sportive
Avant de prendre la route, on se rend compte que l’hyper connectivité de la voiture permet de tout faire, même un peu plus qu’à la maison, que ce soit pour le divertissement ou faciliter la vie au volant. Bien installés dans nos sièges évidemment ventilés, chauffants et massants, on se régale d’avance de profiter de la sono Burmester de haut niveau. Et derrière, on ne se plaint pas, compte tenu du large espace disponible pour les occupants. Qu’a-t-on sous le capot, si l’on peut dire? Une motorisation à transmission intégrale développant quasiment 500 ch, au couple véritablement camionnesque de 800 Nm. Des données de supercars à la clé? Pas loin, comme en témoigne le 0 à 100 km/h abattu en à peine 4 secondes.
Vous vous en doutez, la cavalerie s’avère très largement suffisante pour faire à peu près ce que l’on veut sur les routes, dans toutes les situations de conduite qui se présentent à nous. On peut gérer la force de la régénération selon plusieurs niveaux, directement depuis les palettes situées derrière le volant dont une impressionnante roue libre donnant parfois le sentiment que la voiture accélère toute seule, alors qu’il n’en est rien en réalité. La voiture peut être on/off pour les plus pressés, mais elle sait aussi se montrer vigoureuse tout en gardant une certaine linéarité dans sa façon de délivrer la puissance.
Une consommation remarquable
Car c’est là que ce nouveau GLC 100% électrique se distingue, dans sa façon de distiller un confort de premier ordre. Les ADAS déjà, très finement réglées, repoussant toujours un peu plus loin la fatigue. La suspension pneumatique demeure un très bon atout, alors que BMW a pensé pouvoir s’en passer pour son iX3. Très clairement, on se sent extrêmement bien à bord, où l’on passe un excellent moment dans cette voiture très bien amortie. La sellerie n’y est pas pour rien non plus d’ailleurs. Mais ce colosse dépassant les 2 tonnes et demie sait faire oublier la longueur du voyage. On se ferait même disputer par les occupants, juste parce qu’on a donné un peu de sensations à l’occasion d’un dépassement. On exagère à peine…
L’air de rien, on peut rouler d’ailleurs assez longtemps avant de se faire rattraper par la jauge. Car ce Mercedes GLC, on s’attend à ce qu’il puisse voyager sans trop s’arrêter. On peut d’ores et déjà vous annoncer que la mission se montre plutôt réussie avec une consommation record sur les routes alpines entre 15 et 17 kWh/100 km. Et même sur la longue portion d’autoroute de notre début de parcours, on n’a jamais dépassé les 19 kWh. Il faut l’avouer, la température estivale n’y est pas pour rien, mais l’hiver ne devrait pas pour autant faire exploser ces données. Le Paris-Lyon est parfaitement envisageable. 800V oblige, sur une borne de plus de 300 kW, Mercedes prévoit le passage de 10 à 80% en une vingtaine de minutes.
Agile, bourré de technologies, mais assez cher
Pour aider à réussir ces prouesses de consommation, Mercedes a disposé un second rapport, ce qui limite le besoin d’énergie pour avancer à haute vitesse. En outre, sans que l’on puisse vraiment le vérifier, le constructeur affirme que la régénération très efficace, jusqu’à 300 kW, permet de minimiser très fortement l’utilisation des freins « mécaniques » dans la très large majorité des cas. Et effectivement, la jauge de régénération lors de nos descentes de cols nous permettait de reprendre pas mal d’énergie. Tout ça, c’est bien, mais histoire de ne rien gâcher, ce pachyderme nous a gratifiés d’une agilité absolument inattendue. Les roues arrière directrices font preuve ici de magie. Le mode Sport ne durcit jamais exagérément l’amortissement, gardant ce qu’il faut de confort pour faciliter la conduite quand on hausse le rythme, sans trop gêner les occupants avec une voiture percutante.
On le sait déjà, Mercedes n’est pas du genre à être bon marché. La gamme du GLC démarre autour des 65 000 euros. Notre version très haut de gamme 400 en finition AMG Line, avec tous les packs et options qui vont bien, atteint les sommets, plus de 96 000 euros. Avec les offres diverses de financement et de leasing, sans nul doute qu’ils seront peu à mettre leurs deniers cash sur le bureau du concessionnaire. Toujours est-il que les plus gourmands en équipements auront l’assurance de conduire une voiture performante, très confortable et à la pointe de la technologie. Il s’agit probablement de l’un des meilleurs SUV électriques disponibles aujourd’hui sur le marché.
An anonymous reader quotes a report from the Associated Press: Hundreds of economists say in an open letter that institutions "must act now" to address how artificial intelligence could transform the economy and could put many people out of work. The statement released Monday was signed by top economists, along with computer scientists and some executives at tech companies including Anthropic, Google and OpenAI.
"AI may become radically more powerful over the next 10 years," says the letter organized by Stanford University's digital economy lab. "This could drive an unprecedented transformation of our economy, larger than the Industrial Revolution, but unfolding over a vastly shorter time frame. It could bring risks, including large-scale job displacement, as well as opportunities such as major gains in living standards."
The letter, which has only four sentences, says leaders must "build the incentives, guardrails, and institutions needed to steer AI in a direction that complements humans and benefits society." The Stanford lab says the letter has so far been signed by more than 200 economists and AI researchers, including 16 winners of a Nobel Prize. "We must be intentional and make collective, democratic choices, rather than letting market forces play out and risking leaving most citizens behind," wrote computer scientist and AI pioneer Yoshua Bengio, who was also among the signatories. He said it "it is highly plausible that AI will drastically transform our economies."
Other signatories include Google CEO Eric Schmidt, LinkedIn cofounder Reid Hoffman, and Nobel laureates Joseph Stiglitz, Daron Acemonglu, and Simon Johnson.
An anonymous reader quotes a report from The New York Times: A state-owned newspaper in China recently published a satellite image of a data center in Gainesville, Va., writing in English that the development of artificial intelligence posed a threat to Americans' physical and financial well-being. A comic strip made to look as if it had been published by a Maryland news outlet -- created with OpenAI's ChatGPT by people in China, the tech company said -- circulated on X this year, blaming data centers for soaring electricity bills. It showed a tycoon smoking a cigar and clutching bags of cash. A video shared on X by a known covert Russian influence operation questioned the viability of a data center that an American company, Firebird, is constructing in Armenia, the small Caucasus nation that has been a focus of Kremlin pressure. "The country's electrical grid instability may render it useless," the video's narrator says.
All are examples of a push by foreign adversaries to seize on what polls have shown is deep ambivalence -- verging at times on hostility -- about the spread of the data centers needed to power A.I. in the United States and elsewhere. China, Russia and, to a lesser extent, Iran have sought to use state media outlets to turn the controversy over data centers in the United States into "a domestic fracture point," according to a new analysis by Alethea, a threat intelligence company, which identified scores of articles and posts on social media this year. These campaigns, whose impact on public opinion remains to be seen, have raised alarms in Washington, where A.I. is seen as a top issue heading into this year's midterm elections.
Cinq jours à peine après avoir repoussé l'échéance au 12 juillet, Anthropic prolonge à nouveau l'accès inclus à Claude Fable 5, cette fois jusqu'au 19 juillet. Une décision qui tombe alors que son concurrent OpenAI multiplie les annonces sur le terrain des usages professionnels.
Which jobs are most threatened by AI? "Programmers, software engineers and other tech industry employees," goes one common answer.
"But many economists are more concerned about a different, larger group of white-collar workers," reports the New York Times: customer service reps, bookkeepers, payroll clerks and HR specialists, "who fly under the radar but collectively account for tens of millions of jobs..."
They are spread across the country and throughout the economy, working in every industry, in big cities and small towns, at major corporations and mom-and-pop businesses... These jobs typically offer a middle-class salary or a pathway to achieving one — much as manufacturing jobs did for men before decades of globalisation and automation wiped many of them away... For now, such an outcome is a fear, not a forecast. Despite high-profile layoffs in tech and finance, there is little firm evidence that AI has hurt the labour market as a whole.
Economists have become increasingly convinced that disruptions are likely, but they say it is too early to know where or how widespread they will be. They remain broadly sceptical of claims that the technology will lead to mass unemployment in the near future. Some AI industry leaders have walked back such predictions in recent weeks. But given the extraordinary pace at which companies are adopting AI — and at which the technology is improving — economists say policymakers need to consider the potential effects on the labour market. And they say they are concerned that the public debate has focused too much on software engineers and a relative handful of other high-status careers — lawyers, consultants, economists — rather than the workers who could be most vulnerable...
Economists at Northwestern University recently recalculated measures of AI exposure based on the makeup of the total workforce, not just the people using the technology. Administrative and front-line roles, such as customer service representatives, rose to the top of the list. "The most affected jobs are secretaries, are routine clerks," said Michelle Yin, one of the working paper's authors. "They're not computer scientists or data scientists at all."
The article also includes this counterpoint from an economist at the University of Illinois who has studied earlier waves of white-collar automation: that like other disruptive technologies, AI likely will also create new jobs. So the possibility exists AI will make workers more productive and allow them to earn more. "I would be cautious about just focusing on what are we losing as opposed to what are we going to gain on the other side."
Linus Torvalds once said LLMs might bring a 10X increase to programmer productivity. But speaking at Open Source Summit India 2026, he now says that number was "not scientific,"
reports ZDNet. "That was pulled out of my ass number, obviously."
Today, he continued, "we're at the point where hopefully it creates more productivity than it takes away," but "we certainly saw more junk being generated by LLMs than we saw useful code up until the like early this year.... it can actually be a huge drain on resources when it takes humans a lot of effort to figure out that, hey, this machine-generated report was not true." Even now, he said, "most of the good ones require more than just the LLM," because "we've had to push back quite a bit... if you find a bug with an LLM, it's not enough to just ask the LLM to make a bug report and then throw it over the fence to us. We want to see a suggested patch; we want to see the human who ran the LLM act as a kind of back-and-forth."
Torvalds described many AI-generated patches as "mindless band-aid kind of patches... they may fix the immediate problem, but the kind of bug remains, and it just is waiting in the hallway to hit you in another place." For his own toy projects, he uses LLMs as prototypers: "I use them as a way to prototype things... quite often the code is not usable in that form, but it's a great way to try something out," while insisting that for kernel-level fixes, "LLMs, in my experience, have not been at that level yet."
Torvalds acknowledged that some AI-found issues have been "absolutely, stunningly, I mean, interesting in a painful kind of way," especially security problems that "show up in the technology press two days later." Despite the embarrassment, he said, "I'm very much not a shoot-the-messenger kind of person. I think we're much better off with LLMs finding bugs, even when they are embarrassing, and they are things that we should probably have found two decades ago."
Torvalds also said he's using AI "for my own toy projects... Every time I travel to some new place, and this is the first time I've been to India, I send the kids pictures of where I am, and for some strange reason, Godzilla seems to follow me around and gets added to those pictures."
ZDNet notes that Torvalds concluded, "There are many useful and less useful uses for AI," and "I think Godzilla is a great place to stop."
Thanks to Slashdot reader joshuark for sharing the article.
"Elon Musk and Sam Altman criticized each other in new posts on X," reports CNBC, "highlighting the billionaires' long-standing tussle over OpenAI's evolution."
This week, SpaceX released the Grok 4.5 generative AI model, while OpenAI debuted its own GPT-5.6 Sol. For days, Musk and Altman have hyped up their respective releases, but on Saturday the rivalry got personal. In response to a post about Apple filing suit against OpenAI on Friday over alleged theft of trade secrets, Musk wrote, "Scam Altman strikes again ...." Minutes after his post, Musk doubled down, writing, "He takes scamming to a whole new level." Next, Musk published a photo of Altman that included the words, "I'm doing this because I love it."
"By 'this' he means scamming," Musk wrote, including two rolling-on-the-floor-laughing emojis. Musk then replied to that post, writing, "He might literally love scamming more than any human alive!"
The flurry of social activity got Altman's attention. "[H]omeboy you're the one sellling public market investors on short-term space datacenters," Altman wrote in an X post of his own that garnered over 11 million views.
"We start flying them next year. Maybe you can come see them if your parole officer approves," Musk fired back.
Separately, Altman put Musk's fresh wave of attention in the context of OpenAI's fresh model release. "[T]here are a lot of benchmarks that suggest 5.6 sol is the best model in the world right now, but the most reliable way to tell is that elon is obsessed with me again," Altman wrote on X.
Reacting to another post, Altman wrote that he was "not afraid of apple, but i have tremendous respect for them. s-tier company," CNBC reports — leading to a sarcastic response from X's head of product. "Incredible trade secrets as well, some of the best."
And CNBC notes that Musk "replied with a face-with-tears-of-joy emoji."
The Wall Street Journal says "an intense 27-year-old activist who had been leading sit-ins at OpenAI to protest the dangers of AI" was just part of a larger movement.
"The Bay Area's AI boom is drawing young disillusioned men and women to join the fight against it. They are upending their lives and leaving behind careers for think tanks, nonprofits and street protest groups."
Their cause is now riding a surge of anti-AI backlash. Many Americans are souring on the technology amid mass layoffs, data center sprawl, reports of chatbot-fueled attacks by unstable users and hacking tools that have panicked cybersecurity professionals. Seventy percent of U.S. adults believe AI will cost jobs, and 55% believe it will do more harm than good in their daily lives, according to a recent Quinnipiac University poll. But for activists on the front lines, the driving fear is often more dramatic: human extinction. They cling to dire predictions, like Geoffrey Hinton's. The Nobel laureate, dubbed the "godfather of AI" for his work on artificial neural networks, warns of a 10% to 20% chance AI will wipe out humans.
At its most extreme and troubling end, some believe they must stop an AI apocalypse by any means necessary. In April, an unknown assailant fired 13 shots at the home of an Indianapolis councilman, leaving a note: "no data centers." That same month, authorities arrested a 20-year-old Texas college student for an attack on OpenAI CEO Sam Altman's home in San Francisco, and charged him with attempted murder and arson. The student was carrying an anti-AI document with a section on "our impending extinction," according to a federal criminal complaint. He has pleaded not guilty and his lawyers have said his actions appear to have been driven by an "acute mental-health crisis, not a desire to harm."
À la une de la rubrique tech de Numerama cette semaine : face à la pénurie de climatiseurs mobiles en France, les pompes à chaleur réversibles pourraient offrir une solution. Doctolib lance un projet d’IA utilisant les données de ses utilisateurs, qui peuvent toutefois s’y opposer. Enfin, OpenAI transforme son mode vocal - et le résultat est bluffant.
OpenAI est dans le viseur d'Apple, qui accuse le créateur de ChatGPT de lui avoir volé des informations confidentielles, via d'anciens employés. OpenAI s'en est bien évidemment défendu.
OpenAI is retiring its ChatGPT Atlas browser less than a year after launch. Going forward, its browsing features will be shifted into a redesigned ChatGPT desktop app that also combines Codex, a built-in browser, and "ChatGPT Work" for acting across apps and files. PCMag reports: OpenAI disclosed Atlas's retirement in a Thursday post introducing a more powerful ChatGPT desktop app, following reports that the company planned on turning it into a "superapp." [...] In a tweet, OpenAI product staff member James Sun added, "The current targeted date for deprecation is 8/9, and we'll share more information in the upcoming days both in-app and via email."
The sunsetting means the Windows version of ChatGPT Atlas has been canceled, though the ChatGPT desktop app is still available on both Mac and Windows. The company is already touting the built-in browser, noting: "You can ask ChatGPT to research a market, compare sources, pull information from websites, or open and refine files from Google Workspace and Microsoft 365 inside the app. It can use the browser to bring in fresh context, take steps across web pages, and keep the work moving while you review and guide the result."
OpenAI's CEO of AGI deployment, Fidji Simo, is stepping down from her full-time role and becoming a part-time adviser after taking extended medical leave for a chronic neuroimmune condition. "Three months ago, I had to go on medical leave after a severe exacerbation of a chronic illness I've lived with for seven years," Simo wrote in a post Thursday on X. "During that time, it became clear that the road to recovery would be much longer and more complex than I had anticipated -- and that I needed to focus on it fully." Wired reports: Simo joined OpenAI's board of directors in March 2024. The following year, CEO Sam Altman hired her to take on the product and business organizations so he could focus on research and the company's data center buildout. Previously, Simo was the CEO of Instacart and head of the Facebook app at Meta.
Shortly before starting at OpenAI, Simo experienced a significant health relapse. She was diagnosed with postural tachycardia syndrome, or POTS, in 2019. "For my entire time here, I've postponed medical tests and new therapies to stay completely focused on the job and not miss a single day of work," she told OpenAI staff in a memo back in April, announcing her temporary departure. "It's now clear that I've pushed a little too far and I really need to try new interventions to stabilize my health."
News of Simo's medical leave came amid a larger executive shakeup that saw Brad Lightcap, OpenAI's former COO, transition to a role overseeing special projects. OpenAI president and cofounder Greg Brockman took over OpenAI's product strategy. In the months since Simo stepped back from OpenAI, the company further reorganized its product teams, positioning Thibault Sottiaux as head of the company's core products, including ChatGPT.
U.S. lawmakers are probing the growing use of Chinese AI models by American companies, citing concerns over censorship, security risks, and whether U.S. firms are turning to cheaper foreign models because domestic alternatives are too costly or restricted. The investigation is specifically looking at companies such as Cursor and Airbnb. "The growing use of Chinese AI models by U.S. companies raises serious concerns," a State Department spokesperson told CNBC. Those "AI models are designed to advance Beijing's narratives, censor dissent, and reflect CCP ideology and values." CNBC reports: The House Committee on Homeland Security and the House Select Committee on China said in April they will jointly investigate the growing adoption of Chinese-developed AI models. An initial step in the probe was for the chairmen of those committees to send letters to Cursor and Airbnb, over their "use of or exposure to these risks" through AI developed in China. "The Chinese Communist Party is no longer just nipping at our heels in artificial intelligence; it is racing to close the gap in some of the exact capabilities that will shape the future of cybersecurity," Andrew Garbarino, chairman of the U.S. House Committee on Homeland Security, told CNBC. "Recent reporting that a Chinese open-weight model can match leading U.S. models in certain vulnerability discovery and cybersecurity tasks is highly alarming," said Garbarino.
While some government departments have banned the usage of Chinese AI models including DeepSeek, adoption of them by U.S. companies is not prohibited. Tech chiefs, including crypto company Coinbase's Brian Armstrong and AI startup Lindy's Flo Crivello, have been publicly touting the use of models from China to reduce costs. Cursor, which will be acquired by Elon Musk's SpaceX for $60 billion, built its Composer 2 model using Chinese AI model Kimi, which was developed by Moonshot AI. Alongside focusing on the rise of Chinese AI models, the ongoing joint House Committees' investigation is also looking into whether the U.S. is doing enough to tackle their rise. "The Committees are also examining whether the United States has a sufficient open-weight AI strategy to ensure American companies and cyber defenders are not forced to choose between expensive or restricted U.S. models and cheap, capable PRC-developed alternatives," a Committee aide, who asked not to be named as they were not authorized to discuss the ongoing probe, told CNBC.
[...] The administration could consider the use of federal procurement bans, which would include restricting government agencies and private companies that serve the U.S. government from using Chinese AI models, Kyle Chan, fellow in the John L. Thornton China Center at think tank Brookings, told CNBC. "However, it's ultimately impossible to ban China's open-source AI models because their model weights are available freely on the internet," Chan added. "This could enter into first amendment speech issues." [...] Another [approach] could be disseminating findings about risks and vulnerabilities associated with Chinese AI models to U.S. companies. "Regardless, I do expect both the Executive Branch and Congress to communicate their interest not to see U.S. companies adopting these models," [said Daniel Remler, senior fellow, technology and national security program at think tank the Center for a New American Security (CNAS), told CNBC].
OpenAI has received approval from the Trump administration to publicly roll out GPT-5.6 after an earlier limited preview restricted access to government-approved organizations. The company also launched ChatGPT Work, a new GPT-5.6-powered agent that combines ChatGPT and Codex-style capabilities. "It can gather context from the apps, files, and workflows you choose and create finished materials such as documents, spreadsheets, presentations, and web apps," OpenAI wrote in a blog post, adding that a "unified plugins directory" allows ChatGPT to connect to tools like Slack, Gmail, Google Drive, calendars, and CRMs. The Verge reports: Mac and Windows users worldwide, including free ChatGPT users, should have immediate access to ChatGPT Work and GPT-5.6 via the ChatGPT desktop app. On mobile and the web, Pro, Enterprise, and Edu users will first get access, while Plus and Business users will receive access "over the next few days," OpenAI wrote, adding that the "rollout is starting globally and will continue gradually toward full availability over the next 24 hours."
[...] OpenAI is hoping that its new product, which is a direct competitor to Anthropic's Claude Cowork (combining its own Claude and Claude Code), will push it ahead in the race. OpenAI is especially banking on Sol, the most powerful of the GPT-5.6 model suite, to set "a new standard for intelligence and efficiency," particularly when it comes to coding, cybersecurity, and science, as well as computer use capabilities. The company is also marketing the model as a lower-cost alternative to competitors' most powerful models, amid complaints of an industry-wide money squeeze and AI lab costs being passed onto customers.
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