oumuamua writes: Anthropic researchers have identified an internal activation subspace, J-space, that acts as a functional digital equivalent to the human brain's global workspace. The significance of this discovery lies in demonstrating that Claude's internal architecture satisfies five key cognitive properties of human conscious access -- verbal report, directed modulation, internal reasoning, flexible generalization, and selectivity -- meaning it processes complex, deliberate reasoning within this workspace while routing automatic tasks outside of it. Suppressing this J-space severely degrades Claude's capacity for inference, creative composition, and multi-step logic, while also altering its stream-of-consciousness self-narration. The tool to inspect J-space, Jacobian lens or J-lens, has profound implications for AI safety and alignment auditing, as it allows researchers to read the model's silent, strategic reasoning, detect situational awareness in "blackmail" scenarios, identify hidden malicious dispositions in reward-hacking models, and observe how post-training installs a self-monitoring "point of view." Another way to think of it is as an ocean, reports VentureBeat. "If the mind is an ocean, as the paper's authors write in their opening line, they have spent the last year charting its currents in a system that has no biology, no evolution, and no body -- and found, beneath the surface, a structure that looks unsettlingly like the one we use to think."

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OpenAI a présenté, le 8 juillet 2026, deux nouveaux modèles vocaux ChatGPT : GPT-Live-1 et GPT-Live-1 mini. Leur but : vous permettre d'avoir des conversations « plus intelligentes, plus naturelles et plus expressives » avec l'IA.

locater16 shares a report from IEEE Spectrum: One morning in 2019, Adebayo Alonge was in a Cape Town hotel room, preparing to demonstrate his startup's AI answer to a serious problem in African health care: counterfeit medication, which kills thousands of people across the continent every year. The RxScanner is a handheld spectrometer that scans a pill with infrared light, then sends the item's molecular profile to an AI model equipped with a pharmaceutical database. In seconds, the AI identifies the medication from its molecular profile -- or reports that it's phony. Pharmacies were using the system in more than a dozen countries, including Ghana, Kenya, Myanmar, and Alonge's native Nigeria. But that morning in South Africa, it didn't work. "I was shocked," Alonge says... So Alonge immediately asked his engineers to shrink the AI model down to a smaller, low-power, unconnected version that could run entirely on his Android phone. They produced it 2 hours later, and that saved the demo. More importantly, the work birthed a new version of his device, which can authenticate a pill in places without broadband, computers, or even reliable electricity. It also turned Alonge into an advocate for this kind of "small AI." "The article goes on to detail other immediately useful 'small' AI applications without any subscription or billion dollar data centers needed," writes locator16. For example, Bala Murugan and colleagues at Vellore Institute of Technology in India developed a drone-based system that photographs cashew plants and identifies disease-indicating splotches on the plants. The key advantage is that all processing happens on the drone itself, so farmers do not need a computer, broadband connection, or cloud server access. In a Uruguayan vineyard, researchers developed small-AI systems to identify ant infestations. The article doesn't go deep into the deployment details, but it presents this as another example of a narrow, localized model trained to recognize a specific agricultural threat. Small AI has also been used to detect the presence of malaria-carrying mosquitoes in multiple countries. This is especially useful in regions where public-health teams may lack reliable network access or expensive lab infrastructure, but still need fast, local detection. In parts of Brazil without access to more complex medical equipment, researchers have used small AI to run electrocardiograms from an Arduino device. The article also describes Marcelo Jose Rovai's work on a TinyML model that generates electrocardiograms in a patient simulator lab. Rovai also describes a newer experiment using an Arduino UNO Q with a Qualcomm chipset. The device runs a language model locally, collects sensor data, and analyzes it to detect tiny pools of water where mosquitoes might breed -- while using only about 3 watts of power.

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"A year ago, the message from many business leaders was that AI was going to wipe out jobs," remembers the Wall Street Journal.But "For the past month or so, tech CEOs have been striking a more optimistic tone." In late May, OpenAI Chief Executive Sam Altman — who has long predicted that AI will lead to seismic shifts in the workforce — said during a conference, "We've been roughly right on technological predictions and pretty wrong on the social and economic implications." Soon after, he told CNBC, "Our industry underestimated how much we're going to be able to keep people at the center of everything." Anthropic CEO Dario Amodei, who warned in May 2025 that artificial intelligence could eliminate half of entry-level jobs, a year later highlighted more positive scenarios for AI-adopting businesses: "They can do the same thing with less resources, and that leads to things like layoffs, or they can do more with the same amount of resources. But that requires creativity...." Is the sunnier outlook a move to win back customers and the public who are souring on AI's world-upending promise? Or is the role of AI in the workplace now just better understood...? Collectively, the narrative has shifted from worker-light doomsday scenarios caused by AI to a future in which workers keep their jobs — and get a productivity boost. The sentiment change isn't limited to tech leaders: A survey by EY-Parthenon found that the percentage of CEOs who believe AI investments will result in significant reductions in head count fell from around 46% in January 2025 to just 20% this May. "They may have noticed that the labor market is genuinely not changing (i.e., imploding) as rapidly as they expected," said David Autor, a professor of economics at the Massachusetts Institute of Technology. "They may have realized it was simply bad business to say that your great new product will destroy the economy." The article notes Amazon founder Jeff Bezos "has a history of predicting that AI will create new jobs," and in June said AI could even lead to a labor shortage. "When asked on CNBC in May about people being afraid of AI taking jobs, he said the reason they're afraid is because 'all these smart people keep saying that.'" The article then adds that "Fewer people are saying it now."

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"Mozilla shut down the well-loved read-it-later Pocket app last year, and now Meta is launching an app called Pocket with an entirely different, AI-focused pitch," writes The Verge. While it's not available for downloads in most locations, Meta's Pocket will allow people "to generate small, interactive apps and games using AI prompts," writes TechCrunch. They're called "gizmos", and Pocket "also offers a scrollable feed where you can play with gizmos others have made." Some context from The Verge: Meta CEO Mark Zuckerberg is all in on AI as the new social media, and he's previously described a vision of how users could use AI to make interactive experiences and share them with people. The launch of Pocket appears to be one manifestation of that idea... It follows Meta hiring engineers from a company called Atma Sciences Inc., which made an app called Gizmo, as Business Insider reported in March. On a help center page, Meta also describes a gizmo as a "playable AI-generated experience," and when you post one, Meta says you can choose to let other people remix them. "Based on the app's screenshots in Google Play, there are many similarities to Gizmo's original app, which is still listed," notes TechCrunch. "Pocket is another example of Meta's push to make AI creation tools more mainstream, extending its earlier efforts, which included AI-generated images created via its Meta AI app and AI videos created with its app called Vibes. It has also added AI features across its social platforms... " Given that Meta has not officially announced Pocket's debut, it's likely that Pocket is still in its initial experimentation phase. Its counterpart Gizmo, however, had generated 635,000 lifetime installs across both iOS and Google Play, according to Appfigures, which noted it had a 98% positive sentiment.

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"Companies spending heavily on AI are growing headcount faster, even in the entry-level roles that many fear are doomed," writes TechCrunch. That's the conclusion of new report tracking AI spending from Ramp's corporate card/bill pay data as well as Revelio Labs' workforce records from 21,599 U.S. firms: According to the report, "high-intensity adopters" — firms that spend on average $30 per employee per month on AI in the first three months — saw headcount increase 10.2%. Headcount also rose across functions, including engineering, sales, administration, customer service, finance, marketing, and scientist roles. The strongest job growth among high-intensity adopters was in the information sector, which includes software, internet, media, and tech-adjacent firms. Despite these positive signals, the data isn't as rosy as it seems. It skews heavily toward tech-forward, knowledge-work firms — ones that might have VC-backing and are growing fast anyway, making it difficult to say whether AI is contributing to the hiring or just showing up at companies that are expanding anyway. "This paper does not show that AI universally creates jobs," the paper's authors admit, "but it does counter claims that AI will lead to broad job losses." It also counters claims that AI is killing all junior jobs. Recent research from Goldman Sachs found that AI has already erased about 16,000 net jobs per month over the past year, with Gen Z and entry-level workers taking the brunt of the burden. But in tech-forward firms, the report finds that entry-level headcount actually rose by 12%... "For software and technology firms, AI can make core output cheaper or faster to produce: writing code, debugging, building internal tools, producing technical documentation, and supporting product development," the report reads. "Lower production costs in these workflows can raise the return to expanding the whole firm, not just the engineering team." But companies that buy subscriptions and run pilots, yet did not go on to make sustained investments, don't tend to see any gains in headcount, per the report. That sets up the potential for a widening gap between firms that have the resources — like capital, technical staff, founder networks, and management bandwidth — to turn AI adoption into actual business gains and those that are stuck experimenting with subscriptions. In other words, this report suggests that firms that already have the resources are the ones that will see the largest gains. CNBC argues another AI "narrative" was challenged this week: that open source can't make money. "The assumption was that giving your model away for free meant no business. That's breaking too, as open-model companies start posting real revenue and enterprises move from renting AI to running their own."

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Microsoft is investing $2.5 billion in a new group "assisting clients with AI implementations," reports CNBC: [Microsoft] said Thursday that 6,000 employees will be embedded with clients, in a practice that's become known as forward deployed engineering [or FDE]... The announcement comes two days after cloud rival Amazon said it was putting $1 billion behind an FDE initiative to support fast-paced AI engagements. Leading AI labs Anthropic and OpenAI both established FDE groups in May, partnering with private equity firms, banks and consulting firms. Alongside its technology peers, Microsoft has sunk tens of billions of dollars into building data centers that run generative AI models. Microsoft has also released a variety of AI services, with mixed results. The Microsoft 365 Copilot AI assistant has yet to gain anything approaching ubiquity in the business world, and the GitHub Copilot coding agent has ceded market share to newer players. Microsoft's stock has slumped 21% this year, by far the worst performance among the mega-cap tech companies. One concern on Wall Street is that AI models that quickly compose code might threaten mature software companies... Microsoft has for years provided support and implementation services to customers. The company generated about $2.1 billion in revenue from enterprise and partner services in the March quarter, up 2.5% from a year earlier.

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Quelles seront les voitures électriques à découvrir au Mondial de l'Auto de Paris 2026 ? Cette édition devrait être l'endroit choisi par de nombreuses marques pour exposer leurs nouveautés. Voici les modèles attendus.

Avec sa plus petite batterie, la BMW i4 s'attaque techniquement à la star Tesla Model 3, en ajoutant une dose de premium propre à BMW…

BMW i4 eDrive 35 : la meilleure alternative à la Tesla Model 3 ? est un article de Blog-Moteur, le blog des passionnés d'automobile !

Notre essai du Ford Puma Gen-E, la déclinaison électrique du SUV star de Ford qui coûte moins de 35 000 €.

Ford Puma Gen-E : toujours le premier de la classe ? est un article de Blog-Moteur, le blog des passionnés d'automobile !