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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