Future Tech Collective looks at bleeding edge tech Powered by @neonaliensai

Joined February 2026
🎙️Let's Talk AI 🎙️ Tuesday @ noon ET. Casual conversations about AI. No gatekeeping. All levels welcome. xitter.cf/i/spaces/1YxNrbwnwENxw
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BREAKING: Claude Code found 12,847 photos of my face on my iPhone that I never took. It looked like the phone was taking them every time I picked it up. From the club. From home. At a red light while I was driving. Almost every time I took the phone in my hands there was a frame. They were sitting in a system cache with timestamps and location data. None of them were in Photos. I plugged the phone into my MacBook and asked Claude Code to scan for any front-camera files that weren’t in my Photos library or Recently Deleted. It flagged Private/var/mobile/Library/Caches/com.apple.faceid. Over 12,000 files. Mix of infrared frames and regular front-camera images. Each one had a timestamp and GPS coordinates attached. I started scrolling. Most were from the last 14 months. Then I saw one from four seconds ago. I was still looking at the folder. Apple says the TrueDepth system turns the capture into a mathematical model inside the Secure Enclave and discards the image. On this phone the raw frames were still in the cache. Several of the processes that wrote to the folder belonged to system diagnostics. A couple of old apps with camera permission also had access to the same directory. I turned off diagnostics sharing and revoked camera access from every app that didn’t need it. If you want to check your own phone, plug it in, run a backup, and ask Claude Code to look for front-camera files outside the Photos library. The folder path above is where mine were.
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Future Tech Collective retweeted
FUN FACT: EL MORRO TOOK OVER 250 YEARS TO BUILD! 🏰🇵🇷 Construction began in 1539, and the fortress evolved over centuries. Next stop: El Morro. 🌴 We're building ReachMás to connect incredible places with ways to get there. #ElMorro #LocalTransit
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🚨 CYBERSECURITY ALERT | FTC PR On October 21, two critical vulnerabilities were disclosed in PHP, a programming language powering much of the internet. Known as PHP2Shell, these flaws could allow hackers to take control of vulnerable web servers without logging in.
🤖 Made with AI
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Maybe most important summary on X in years.
This is the most serious 48 hours in cybersecurity history. "Black October" they're calling it It seems every *hour* there's a new incident, that in a typical year, would be one of the biggest incidents of the *entire year* SUMMARY OF THE LAST 48 HOURS: YEAR-LEVEL INCIDENTS (In a typical year, these would be among the biggest incidents of the year): 1. PHP2Shell: a hole in the software behind ~70% of websites. Governments took sites offline. 2. eMudhra: the master keys that prove websites are real were cracked. One was the number 4. 3. California: data on every public school student since 2023 stolen, including disability status 4. Railway: hackers stole customers' secret keys from a hosting platform used by millions of developers 5. Zeabur: 321,810 accounts breached. The company is shutting down. 6. LiteLLM: an AI tool downloaded 3.4 million times a day was poisoned with a password stealer 7. GitLab: a 10-out-of-10 severity hole in every version since 2014 8. Cairn: criminals used an AI hacking tool to break into 100+ companies 9. Ahold Delhaize: hackers knocked the owner of Food Lion and Stop & Shop offline 10. Onamae: malware planted on up to 26,739 customer servers in Japan MONTH-LEVEL INCIDENTS (In a typical month, these would be among the biggest incidents): 11. Signal: a bug could leave your mic and camera on after you hang up 12. NGINX: 3 critical holes in software running ~1/3 of websites 13. HTTP/3: a single connection can crash 7 of the 10 web server types tested 14. Plex: hackers breaking into home media servers 15. SafePay ransomware: FBI warns it has hit 600+ critical infrastructure organizations 16. Palo Alto: ransomware gangs breaking in through company firewalls 17. Bullhorn: platform used by 10,000+ companies knocked offline 18. Medi-Cal: 970,000 patients' data stolen 19. WordPress: hackers stole a plugin maker's keys and used them to plant backdoors on websites 20. AOMEI: backup software's update server handed out a backdoor 21. Meta Muse: Meta's AI agent exposed users' personal and business secrets 22. Tor: 333 relays hijacked to steal logins 23. TiDB Cloud: database company's cloud breached Also serious: 24. State Bank of India: India's biggest bank confirms a data breach 25. OVHcloud: hackers slipped a password stealer into a cloud company's official tool 26. Siemens: a software hole being used to spread malware 27. North Korea: state hackers launch a new attack campaign on South Korea
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Join us at noon today EST. Let's Talk AI. xitter.cf/i/spaces/1OxwbnjovEDJB

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Introducing Eleven Realtime, a new class of Speech to Speech models. Voice agents usually make you choose between quick replies or precise answers. Eleven Realtime gives you both. It starts talking in half a second and gets spoken reasoning questions right.
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BREAKING NEWS 🚨: Claude can now fix your slow computer like a $120 per hour IT technician. Open the Claude desktop app, give it access to your computer, and use these 7 prompts:
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On Friday, @OpenAI updated its iOS and iPadOS app to add widget and Shortcuts support for Dots. It's a fast way to drop into you Dot's thread, especially when tied to the iPhone's Action button. Story on @macstoriesnet: macstories.net/reviews/chatg…
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Robots in Korea can now talk to the buildings around them Korea runs 1,220 robots per 10,000 employees, more than anywhere on earth. And the Korea Electronics Technology Institute (KETI) built Mobius, an open platform for a building’s sensors and doors, on the global oneM2M standard. Starting now, a machine running peaqOS can use it on peaq’s robotic.sh. Watch a delivery robot read a building it has never seen, wait for its moment, and open the door itself. → peaqOS provides identity, discovery, and coordination → KETI’s Mobius speaks for the building robotic.sh/services/keti
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Apple just published a fascinating paper, "Minions," demonstrating how to turn idle Apple Silicon Macs into a distributed virtual GPU cloud for LLM inference. It is a massive validation for the decentralized Mac compute ecosystem. 🍎💻 arxiv.org/html/2610.12970v1#… At Rapid-MLX, we've been building at this exact frontier with the open-source community to push local AI to the absolute limit. If a dynamic MacBook GPU cloud excites you... just wait. We are about to drop something GAME-CHANGING very soon. 🚀⚡️ Stay tuned.
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Introducing SKY-001, the first Engineering World Model. On CAD and BIM tasks, it beats GPT-6 Astra and every frontier model we tested: -> 51-125x faster - > 150-210x cheaper -> Higher IOU than all frontier models SKY-001 lets you dream a physical object before you build it. 18 months of work. Built by the team out of Maluuba's deep learning lab (acq. by @MSRResearch). The first ‘AI General Engineer’ will be the backbone for Autonomous Manufacturing.
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🎙️Let's Talk AI 🎙️ Tuesday @ noon ET. Casual conversations about AI. No gatekeeping. All levels welcome. xitter.cf/i/spaces/1OxwbnjovEDJB
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hmm love to discuss this xitter.cf/spisallyouneed/status/…
Introducing SKY-001, the first Engineering World Model. On CAD and BIM tasks, it beats GPT-6 Astra and every frontier model we tested: -> 51-125x faster - > 150-210x cheaper -> Higher IOU than all frontier models SKY-001 lets you dream a physical object before you build it. 18 months of work. Built by the team out of Maluuba's deep learning lab (acq. by @MSRResearch). The first ‘AI General Engineer’ will be the backbone for Autonomous Manufacturing.
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Future Tech Collective retweeted
Google is now literally telling businesses specifically how to get traffic from AI Search. Yes, directly within Google Search Console. It's probably one of the most important marketing updates of 2026. Let’s go through it. By the way, you can see whether your business is appearing across Google AI, ChatGPT, Claude, Perplexity and Grok here (it's free): seo-stuff.com/free-audit Recently Google launched a new Generative AI performance report inside Search Console. At first, it looked like a very limited rollout, but now more and more site owners are seeing it. John Mueller also confirmed that Google is rolling it out incrementally and reviewing feedback along the way. So if you do not see it yet, give it a few days, but the direction is pretty clear. AI Search visibility is becoming something businesses can actually measure, and this report shows how often URLs from your site appear in Google’s generative AI features. Yes, that includes AI Overviews and AI Mode. It can also show which pages appeared, which countries the impressions came from, which devices people were using and how performance changed over time. That matters a lot, because until now, a lot of AI Search tracking has been messy. It has featured a lot of screenshots, manual prompt testing, third party tools, guessing from referral traffic, watching ChatGPT, Perplexity, Claude, Grok and Google manually to see whether your brand appears, etc. Now Google is giving site owners a direct view into whether their pages are appearing inside Google’s own AI features. There is one big limitation, though: this is impression data as opposed to clicks data. Google is showing whether your site appeared inside generative AI features, but it is not yet showing how many people clicked from those AI features to your site. This is where SEO Stuff (seo-stuff.com/gold-plan-pack…) can help. A business can be visible in AI Search and still see fewer clicks than it used to get from traditional search. At the same time, a business can also be completely missing from AI Search and not realize competitors are being shown instead. If your AI impressions are high but clicks are weak, the issue may be the way Google is satisfying the search before the user visits your site. If your AI impressions are low, the issue may be that Google does not understand, trust or retrieve your pages for the questions customers are asking. If only your informational pages appear, but your product, service, pricing, comparison and case study pages do not, that tells you something. If one country shows AI visibility and another does not, that tells you something. If a few pages get most of the AI impressions, that tells you something. This is why the report is such a big deal, and it gives businesses a starting point so you can finally ask better questions. Which pages are showing up in AI Overviews? Which pages are showing up in AI Mode? Which countries are seeing the brand? Which devices are seeing the brand? Which parts of the buying journey are missing? Which content is actually being used by Google’s AI systems? That last question is the one most businesses should care about, and it is the one SEO Stuff solves for brands on a daily basis: seo-stuff.com/premium-conten… A customer can ask a long, complicated question and Google can break that question into several related searches behind the scenes. That means the same business may need useful content around problems, use cases, comparisons, pricing, alternatives, industries, objections, case studies, product details and implementation. One generic service page probably will not cover all of that. A brand with useful content across the full buying journey has more chances to be discovered. Google’s new report will make that easier to see. And this also lines up with what Google just said in its “Good SEO is good GEO” piece. (See my post from yesterday if you missed it.) Google said its generative AI features are rooted in the same core ranking and quality systems as traditional Search. AI Mode and AI Overviews retrieve up-to-date content from Google’s existing search index. So the businesses that want AI visibility still need the same boring foundation: crawlable content, useful pages, clear product information, real expertise, entity clarity, authority, third party validation, etc. That is where SEO Stuff (seo-stuff.com) comes in. The done-for-you package combines 10 AI-search-optimized articles with three DR50+ authority placements: seo-stuff.com/gold-plan-pack… The content helps your business cover the questions customers ask before buying, including problems, use cases, comparisons, pricing, alternatives, industries, objections, case studies, product details and implementation. The authority placements help your business show up across trusted sources that search and AI systems use to understand categories. Google is starting to show businesses whether they are appearing in AI Search. Once something becomes a report, it becomes something clients, founders, CMOs and competitors start paying attention to. If you want to see whether your business is already being cited, understood and recommended across Google AI, ChatGPT, Claude, Perplexity and Grok, check here: seo-stuff.com/free-audit
Almost 73% of the websites cited across ChatGPT, Claude, Gemini and Perplexity appeared in just ONE of them. Only 2.2% were cited by all four. So if you are checking ChatGPT to see whether your company is “showing up in AI search,” you may be looking at a very incomplete picture. A new study gives us a useful look at just how differently the major AI platforms research and cite the web. Let’s go through it. And if you want to see where your business stands across ChatGPT, Claude, Google AI, Perplexity, Grok and broader AI search, start here. It’s free: seo-stuff.com/free-audit Prefer ran the same 80 questions through ChatGPT, Perplexity, Gemini and Claude. Each question was tested three times on each platform, and that produced 960 AI answers and 1,329 different cited websites. The results were pretty interesting. 966 of those websites appeared in only one AI engine. 205 appeared in two. 129 appeared in three. Just 29 appeared across all four. Basically, there really was no universal “AI search result.” Different systems can research the exact same topic and pull information from very different parts of the web. SEO Stuff's Done-for-you setup was created with this in mind: seo-stuff.com/gold-plan-pack… The number of sources they cited was dramatically different too. Perplexity averaged 19.48 sources per answer. Gemini averaged 8.64. Claude averaged 4.58. ChatGPT averaged just 3.05. Across the 240 answers generated by each platform, Perplexity cited 748 different websites, Gemini 580, Claude 333 and ChatGPT 218. That is why asking “How do I rank in AI?” is not as informative as it sounds. The questions that make a bit more sense (and will help you more long-term) are: How often do I appear in ChatGPT? What does Claude know about my company? Which sources does Perplexity trust in my category? What is Gemini surfacing for the questions my buyers ask? There was another important finding, by the way. The researchers asked the same questions three times within seconds of each other, yet the cited websites still changed. Average overlap between repeat runs was: 96% for Perplexity. 68% for Claude. 37% for ChatGPT. 35% for Gemini. Same question. That matters enormously for measurement because if you ask ChatGPT one question once and do not see your company, that does not necessarily mean you never appear. And if you do see your company once, that does not mean you reliably own that answer either. You need repeated measurements across multiple prompts and multiple platforms, otherwise you can end up building an entire AI strategy around a screenshot. So what about sources? Well, Reddit appeared in 207 of the 960 answers, making it the most frequently cited site in the study. Claude cited Reddit zero times. Gemini cited YouTube in 113 answers. ChatGPT, Claude and Perplexity cited YouTube zero times in this dataset. Perplexity cited LinkedIn in 73 answers. Claude cited it twice. ChatGPT and Gemini did not cite it at all. Again, the study focused on 80 questions about AI search, GEO and AEO. Healthcare, finance, ecommerce or local-service prompts could produce a very different source mix, but the larger point is difficult to ignore. Different AI systems have different retrieval behavior, different source ecosystems and different levels of citation consistency. That said, the biggest authoritative sources traveled much better across platforms. Among the 25 most-cited sites, 23 appeared across three or four engines. Five of the top 10 appeared across all four. So the fragmentation was much heavier in the long tail, and that may actually be the most useful takeaway for businesses. You want enough content breadth to appear across many relevant questions, but you also want enough authority that multiple systems repeatedly trust your website and the third-party sources validating your company. That is where traditional SEO and AI Search Optimization start overlapping again. Build useful content around the questions buyers actually ask. Make your company, products and category easy to understand. Earn credible third-party mentions and contextual backlinks. Create comparisons, alternatives, use cases and decision-stage content. That is exactly why SEO Stuff approaches AI visibility across multiple platforms rather than treating it as a ChatGPT-only exercise: seo-stuff.com/ A company can perform well in ChatGPT and poorly in Claude. If your company only measures one AI platform, you may be missing most of the picture. And if you want to see where your business stands across Google, ChatGPT, Claude and the major AI search platforms, start here: seo-stuff.com/free-audit
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Future Tech Collective retweeted
NO BIG PLANS. BIG POSSIBILITIES. 🌴 No schedule. No rush. Just a Saturday afternoon and a city full of places to explore. We're building ReachMás to connect local discovery with getting there. #ReachMas #LocalTransit
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