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An investigation published by The American Prospect on September 9 found that Anthropic has built an internal security and intelligence operation to monitor activists who oppose rapid AI development. A recent job posting seeks an intelligence specialist to track threats including geopolitical instability, terrorism, crime, and activism, using a pre-crime approach meant to predict incidents before they occur.

The reporting draws on a podcast interview with Anthropic’s Global Security Operations Center manager, who described using a risk detection vendor to get advance warning of planned protests near company executives. In some cases the operation has also involved reporting suspects to police before any crime takes place. Anthropic did not respond to the Prospect’s request for comment on the story.

The advertised intelligence specialist role pays between 180,000 and 230,000 dollars a year.

Related: Anthropic surveillance activists, American Prospect investigation, pre-crime AI security, Anthropic security team, AI industry activism monitoring

Source: The American Prospect / Common Dreams / IBTimes UK

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#Anthropic #Surveillance #AIActivism

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Kirill Egashin posted a screenshot of an AI browser agent opening Instagram and scrolling reels on his behalf, captioned “helping GPT6 Astra become agi.” The agent log shows it checking Instagram in Safari, moving through several reels, and reacting to one clip involving a dog.

The joke leans on OpenAI’s own language around GPT6 Astra potentially marking the arrival of AGI, reframing that milestone as an agent idly consuming short-form video. Replies pushed the bit further, joking about the agent becoming addicted, less intelligent, or fixated on niche internet knowledge instead.

The post had reached about 1.1 million views at the time it was captured.

Related: GPT6 Astra AGI, AI browser agent, Instagram Reels AI, ChatGPT agent Safari, Kirill Egashin

Source: Kirill Egashin (kegashin) on X

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#GPT6Astra #AIagent #AGI

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Senator John Fetterman was asked point blank on CNN who is right on data centers, Trump or Pennsylvania Governor Josh Shapiro. He picked Trump.

Fetterman said Shapiro backed off data centers once the politics got ugly. Pennsylvania’s governor signed an executive order in August requiring local approval for new data center projects and forcing developers to pay their own power costs, a reversal from his earlier support for the industry.

Fetterman argued the US needs to keep building or risk losing the AI race to China.

Does local control over power costs make sense to you, or does it slow down something the country needs?

Source: CNN / Breitbart

@politicsofai Every AI policy story, no fluff.

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Dyson launched the AI-powered CameraJet on September 1, a $499 toothbrush built around a 100,000-pixel macro lens camera mounted in the brush head. The camera feeds Dyson’s Gap Optical Targeting AI, which analyzes 28 images per second to locate gaps between teeth where plaque forms.

Within 100 milliseconds of spotting a gap, the device fires a conical burst of mouthrinse directly at it, merging brushing, flossing, and rinsing into a single step. Dyson says the AI system runs on 16 million lines of code and was trained on 470,000 dental images over six years of development, with National University of Singapore’s dentistry faculty helping engineer a synthetic plaque proxy for testing.

The device connects over Wi-Fi and Bluetooth to the MyDyson app for live camera feed, cleaning maps, and guided brushing.

The CameraJet costs $499, roughly $100 more than the Philips Sonicare Prestige 9900 and Oral-B iO Series 10.

Related: Dyson CameraJet price, Gap Optical Targeting AI, AI toothbrush camera, MyDyson app, James Dyson toothbrush launch

Source: Bloomberg / Engadget / Cybernews

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#DysonCameraJet #AIToothbrush #Dyson

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A US startup, Curative, says it cancelled a $600,000 annual Salesforce contract and moved to a custom, AI-generated CRM. The CEO told Harry Stebbings the new portal manages processes better and is fully integrated, so no one uses Salesforce anymore.

The transition reportedly took about two months, and the founder also plans to drop most internal SaaS. Alongside similar cases from Atonom and others, the story is fueling a wider debate about AI-native stacks replacing enterprise platforms.

Is this the start of a broad shift away from Salesforce-style moats?

Source: X / InShorts / BigGo Finance / Salesforce Dictionary

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Musk responded directly to Altman’s criticism of short term space datacenters and claimed SpaceX will start flying them next year. He also escalated the feud with claims that Altman stole from an open source AI charity and Apple.

The exchange matters because it blurs a technical debate with personal grievance. It also keeps orbital AI infrastructure in the news as a real, if still unproven, business direction.

The post drew millions of views and tens of thousands of likes and reposts.

Related: Elon Musk response, Sam Altman criticism, orbital AI infrastructure, SpaceX satellites, open source AI charity

Source: X / Reuters / Fox Business

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#SpaceX #OpenAI #OrbitalCompute

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A team of MIT students has built “Human Operator,” a wearable AI system that can physically guide a person’s hand movements using electrical muscle stimulation. In demos, the device sits on the wrist and fingers, then sends tiny electrical pulses to contract specific muscles based on what the AI decides.

The system combines a vision-language model, voice input, and electrodes to trigger motions like playing a piano melody or making an “OK” sign, even if the user doesn’t know the song or gesture beforehand. The creators describe it as a human augmentation tool to help people learn or perform tasks by feeling the correct motion directly.

The prototype raises obvious questions about consent, safety, and where embodied AI should be used.

How far should this kind of AI-driven physical guidance be allowed to go in everyday life or work?

Source: IndiaToday / Founded / Dailyhunt

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Karen X. Cheng wired a 1920s rotary phone to an AI agent and a mechanical text display, effectively turning antique hardware into a focused assistant. You pick up the handset, talk, and the AI replies on the attached board—no apps, no scrolling, just one-purpose interaction.

She used a Vestaboard-style mechanical display for responses and relied on Cursor AI as a coding copilot to stitch the phone, audio pipeline, and agent together. The result is a kind of “AI dumbphone” that preserves the ritual of a phone call while stripping away notifications and feeds.

Projects like this show how the same AI can feel totally different once you change the physical shell.

Would you rather talk to AI through this kind of single-purpose device or keep it inside your smartphone?

Source: X / Instagram / GitHub

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Arjun Shah, age 14, announced Supercompress, an open-source token compression tool aimed at lowering large language model token usage by over 65%. The idea is simple: instead of paying for ever more API credits, developers plug in Supercompress to shrink what actually gets sent to the model.

The tool sits before the LLM call, transforming or compressing text while preserving meaning so fewer tokens are consumed per request. Arjun is positioning it as free to start and focused on helping builders scale AI applications without costs exploding as usage grows.

If it works reliably, tools like this could become standard in any serious AI stack.

Would you consider adding a compression layer like this before your own AI calls to keep costs under control?

Source: X / Supercompress.dev

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