Joined August 2010
992 Photos and videos
Mike Flache reposted
AI is outpacing the rules, Europeโ€™s top bankers & regulators warn cnbc.com/2026/07/03/ai-outpaโ€ฆ By @CNBC @CurieuxExplorer @Mack1510019 @jblefevre60 @FrRonconi @enilev @Nicochan33 @mikeflache @bimedotcom @EstelaMandela @drsharwood @Ym78200 @kalydeoo @Fabriziobustama @theomitsa @AkwyZ

ALT Coding Artificial Intelligence GIF by Butlerm

1
13
19
531
๐Ÿšจ๐Ÿง Everyone is debating #AGI. But 2026 will be shaped by something quieter & far more powerful. โš›๏ธ #Quantum #AI is entering its utility era. Not theory. Not labs. Not โ€œ10 years away.โ€ โš™๏ธ Real optimization ๐Ÿงฌ Real materials discovery ๐Ÿ’Š Real drug development ๐ŸŒ Real economic impact AI scales intelligence. Quantum AI scales decisions. And when the two converge, industries donโ€™t change loudly they shift silently, then suddenly. The real question for leaders isnโ€™t if this happens. Itโ€™s whether youโ€™re building quantum literacy ๐Ÿ“˜ or preparing to play catch-up. ๐Ÿš€ The infrastructure shift has already begun. @enilev @Jagersbergknut @TysonLester @CurieuxExplorer @GlenGilmore @chidambara09 @jeancayeux @mvollmer1 @Nicochan33 @RLDI_Lamy @pchamard @mikeflache @FrRonconi @Fabriziobustama @Mack1510019 @ipfconline1 @PawlowskiMario @theomitsa @drsharwood @kalydeoo @baski_LA @AnthonyRochand @smaksked @Eli_Krumova @andresvilarino @gvalan @AI_4_Healthcare @bimedotcom @arlenenewbigg @NewsNeus @domingonarvaez1 @jornalistavitor @jblefevre60 @thomas_dettling @FmFrancoise @nafisalam @Mhcommunicate @Corix_JC @c4trends @smoothsale @amalmerzouk @PVynckier @bbailey39 @SiddharthKS @NathaliaLeHen @jasuja @ralf_ladner @c4trends @SabineVdL @mary_gambara
13
82
281
119,294
Mike Flache reposted
90% of companies missed their AI savings targets. Only 7% run fully autonomous AI agents in production. Those two numbers are the same problem. Companies built AI strategies around autonomous agent economics, full automation, dramatic cost reduction, and compounding returns. Then discovered that autonomous agents at scale require clean data, redesigned processes, and governance infrastructure that most organizations don't have. Without those foundations: โ†ณ Agents hallucinate on bad data and require human remediation โ€” eliminating the labor savings โ†ณ Broken processes get automated โ€” locking in the inefficiency at AI speed โ†ณ Projected returns get approved as actual โ€” funding wave two on wave one's promises The savings gap and the agent deployment gap are not separate failures. The 93% not running autonomous agents are the same organizations that missed their savings targets. They skipped the foundations. The foundations are why the agents don't work. And the agents not working is why the savings aren't there. #fintech #tech #finserv #AI @BetaMoroney @efipm @BrettKing @spirosmargaris @jasuja @enricomolinari @mikeflache buff.ly/6iwOCga
2
5
11
305
Replying to @JagersbergKnut
@JagersbergKnut @RLDI_Lamy @KevinClarity @chidambara09 @Analytics_699 @_deus__machina @bimedotcom @NathaliaLeHen @sonu_monika @enilev @EstelaMandela @Shi4Tech @sulefati7 @Khulood_Almani @mikeflache
The AI Agent stack in 2026 โ–ช๏ธ OpenClaw โ†’ local agent as personal control plane โ–ช๏ธ Hermes Agent โ†’ local agent with self-improving skills โ–ช๏ธ Gemma 4 โ†’ efficient models for local agent workflows โ–ช๏ธ Skill Engineering โ†’ reusable agent abilities โ–ช๏ธ VLA Models โ†’ interface for physical AI โ–ช๏ธ Nemotron 3 โ†’ open AI infrastructure and modular ecosystems โ–ช๏ธ Web World Models โ†’ persistent agent environments โ–ช๏ธ Recursive Self-Improvement โ†’ AI improving AI โ–ช๏ธ Responsible AI โ†’ trust as an engineering problem This recap connects the dots: why these pieces matter now, how they fit into the new agent stack our full breakdowns on each one turingpost.com/p/ai-agents-iโ€ฆ
1
11
9
274
๐Ÿค–๐Ÿš€ ๐—ช๐—ต๐—ฎ๐˜ ๐—”๐—ฟ๐—ฒ ๐˜๐—ต๐—ฒ ๐Ÿญ๐Ÿฌ ๐— ๐—ผ๐˜€๐˜ ๐—œ๐—บ๐—ฝ๐—ผ๐—ฟ๐˜๐—ฎ๐—ป๐˜ #๐—”๐—œ ๐—ฆ๐—ธ๐—ถ๐—น๐—น๐˜€ ๐—ณ๐—ผ๐—ฟ ๐—™๐˜‚๐˜๐˜‚๐—ฟ๐—ฒ ๐—๐—ผ๐—ฏ๐˜€ (๐Ÿฎ๐Ÿฌ๐Ÿฎ๐Ÿฒโ€“๐Ÿฎ๐Ÿฌ๐Ÿฏ๐Ÿฌ)โ“ ู…ุง ู‡ูŠ ุฃู‡ู… 10 ู…ู‡ุงุฑุงุช ููŠ #ุงู„ุฐูƒุงุก_ุงู„ุงุตุทู†ุงุนูŠ ู„ูˆุธุงุฆู ุงู„ู…ุณุชู‚ุจู„ุŸ ๐Ÿ’กThe future will belong to those who know how to use, build, deploy, secure & govern AI systems. Here are the AI skills every student and professional should start building โคต๏ธ โถ AI Tool Mastery ๐Ÿค– โ†ณ Use tools like ChatGPT, Claude, Gemini & Copilot โ†ณ Automate daily tasks โ†ณ Boost productivity across any career โท Prompt Engineering ๐Ÿ’ฌ โ†ณ Ask better questions โ†ณ Get better AI results โ†ณ Turn ideas into clear outputs โธ Python Programming ๐Ÿ โ†ณ Build AI applications โ†ณ Automate workflows โ†ณ Understand how AI systems work โน Machine Learning Fundamentals ๐Ÿง  โ†ณ Learn how models predict & improve โ†ณ Build a strong AI foundation โ†ณ Move from using AI to understanding it โบ Data Analytics & Visualization ๐Ÿ“Š โ†ณ Turn data into insights โ†ณ Make smarter decisions โ†ณ Communicate results clearly โป AI Ethics & Governance โš–๏ธ โ†ณ Build responsible AI โ†ณ Reduce bias & protect privacy โ†ณ Create trust in AI systems โผ Cloud Computing for AI โ˜๏ธ โ†ณ Deploy AI at scale โ†ณ Work with AWS, Azure & Google Cloud โ†ณ Power enterprise AI solutions โฝ Neural Networks & Deep Learning ๐Ÿงฉ โ†ณ Understand advanced AI models โ†ณ Power LLMs, NLP & computer vision โ†ณ Build next-generation AI systems โพ AI-Powered Research & Innovation ๐Ÿ”ฌ โ†ณ Accelerate discovery โ†ณ Solve complex problems faster โ†ณ Turn knowledge into innovation โฟ AI Product Design ๐ŸŽจ โ†ณ Build AI products people actually use โ†ณ Combine AI, UX & business value โ†ณ Transform ideas into real solutions ๐Ÿ“Œ My view: The most valuable people in the AI era wonโ€™t be those who only use AI tools. Theyโ€™ll be the ones who understand how to apply AI with strategy, responsibility and real-world impact. ๐ŸŽฏWhich AI skill do you think will matter most by 2030? #ArtificialIntelligence #FutureOfWork #FutureJobs #MachineLearning @enilev @Jagersbergknut @TysonLester @CurieuxExplorer @GlenGilmore @chidambara09 @jeancayeux @mvollmer1 @Nicochan33 @RLDI_Lamy @pchamard @mikeflache @AI_4_Healthcare @FrRonconi @Fabriziobustama @Mack1510019 @ipfconline1 @PawlowskiMario @theomitsa @drsharwood @kalydeoo @baski_LA @AnthonyRochand @smaksked @Eli_Krumova @andresvilarino @gvalan @bimedotcom @arlenenewbigg @NewsNeus @domingonarvaez1 @jornalistavitor @jblefevre60 @thomas_dettling @FmFrancoise @nafisalam @Mhcommunicate @Corix_JC @c4trends @smoothsale @amalmerzouk @PVynckier @bbailey39 @SiddharthKS @NathaliaLeHen @jasuja @ralf_ladner @c4trends @SabineVdL @mary_gambara
19
79
352
98,844
Loop engineering: The Latest trend explained expertly by the experts of Anthropic! @JagersbergKnut @RLDI_Lamy @KevinClarity @chidambara09 @Analytics_699 @_deus__machina @bimedotcom @NathaliaLeHen @sonu_monika @enilev @EstelaMandela @Shi4Tech @sulefati7 @Khulood_Almani @mikeflache
A senior Anthropic engineer just dropped 11-page PDF on "Loop Engineering" for agentic systems. The shift: you stop prompting the agent. You build the system that prompts it instead. Schedule โ†’ Discover โ†’ Build โ†’ Verify โ†’ Repeat Every loop runs one turn, five moves: โ€ข Discovery: it finds its own work - failing CI, open issues, recent commits - instead of being handed a list. โ€ข Handoff: each task gets an isolated git worktree so parallel agents don't collide. โ€ข Verification: a second agent, told to assume the code is broken, reviews the first. The "thing that can say no." โ€ข Persistence: results get written to disk, never left in a context window that gets flushed. โ€ข Scheduling: an automation wakes it on a timer. That's what makes it a loop. The key insight: an agent grading its own work always praises it. This 11-page PDF changed how I'm building agentic systems today. Read it now, then explore the article below.
1
13
11
688
๐Ÿ” ๐Ÿฉบ โœจ What Are the ๐Ÿ” #Healthcare Trends in 2026 and beyondโ“๐Ÿง โš•๏ธ ู…ุง ุฃุจุฑุฒ #ุงู„ุชู‚ู†ูŠุงุช #ุงู„ุตุญูŠุฉ ุงู„ุชูŠ ุณุชู‚ูˆุฏ ู…ุณุชู‚ุจู„ ุงู„ุฑุนุงูŠุฉ ุงู„ุตุญูŠุฉ ููŠ ุนุงู… 2026 ูˆู…ุง ุจุนุฏู‡ุŸ ๐ŸŽฏFrom DNA-based medicine to blockchain-secured recordsโžก๏ธ The future is no longer coming, itโ€™s hereโ—๏ธโคต๏ธ โžŠ ๐Ÿงฌ Blockchain for Medical Data โคต๏ธ Secure, transparent & interoperable records โžก๏ธ Tamper-proof & patient-controlled. โž‹ ๐ŸŒ Internet of Medical Things (IoMT) โคต๏ธ Wearables & smart devices that monitor patients 24/7 and manage chronic illness in real-time. โžŒ ๐Ÿงซ Genomics & Precision Medicine โคต๏ธ AI gene editing = highly personalized therapies for rare and genetic diseases. โž ๐Ÿ–จ๏ธ 3D Printing in Healthcare โคต๏ธ From custom implants to bioprinted organs โžก๏ธ regenerative care is becoming reality. โžŽ ๐Ÿง  Mental Health Tech โคต๏ธ VR therapy, AI mood tracking & digital clinics โžก๏ธ Redefining mental wellness access. โž ๐Ÿค– Robotics in Surgery & Caregiving โคต๏ธ Ultra-precise surgical bots and intelligent caregiving assistants, beyond sci-fi. โž ๐Ÿง  AI & ML in Healthcare โคต๏ธ Faster diagnostics, predictive treatment & tailored patient care, all AI-enhanced. โž‘ ๐Ÿ“ฑ Telemedicine & Remote Monitoring โคต๏ธ Ubiquitous post-COVID, now evolving with smarter, real-time remote systems. ๐Ÿ“๐Ÿ’กThese innovations arenโ€™t just trends โžก๏ธ Theyโ€™re rewriting the rules of care, reshaping medical careers and redefining the patient experience. ๐Ÿ”— charterglobal.com/top-healthโ€ฆ #HealthTech #AIinHealthcare #IoMT #Genomics #Blockchain #DigitalHealth #FutureOfMedicine #HealthcareInnovation #TechForGood @enilev @Jagersbergknut @TysonLester @CurieuxExplorer @GlenGilmore @chidambara09 @jeancayeux @mvollmer1 @Nicochan33 @RLDI_Lamy @pchamard @mikeflache @FrRonconi @Fabriziobustama @Mack1510019 @PawlowskiMario @theomitsa @drsharwood @kalydeoo @baski_LA @AnthonyRochand @smaksked @Eli_Krumova @andresvilarino @gvalan @bimedotcom @arlenenewbigg @NewsNeus @domingonarvaez1 @jornalistavitor @jblefevre60 @thomas_dettling @FmFrancoise @nafisalam @Mhcommunicate @Corix_JC @c4trends @ipfconline1 @smoothsale @amalmerzouk @PVynckier @bbailey39 @SiddharthKS @NathaliaLeHen @jasuja @ralf_ladner @c4trends @SabineVdL @mary_gambara
14
78
356
125,094
Mike Flache reposted
Whatโ€™s happening around data centers is bigger than a labor debate. For years, digital growth was treated as something weightless: Software, cloud, AI, all detached from physical reality. That illusion is over. Every digital ambition now sits atop very real infrastructure, very real energy demand, and very real communities that must live with the consequences. And that is why the next phase of digital leadership will be less about announcing ambition and more about taking responsibility for the footprint it leaves behind. What's your take on this development? @pchamard @Khulood_Almani @antgrasso @GlenGilmore @Shi4Tech @chidambara09 @CurieuxExplorer @FrRonconi @theomitsa @Nicochan33 @nafisalam @smaksked @Corix_JC @amalmerzouk @quepasachico @IngridVasiliu @EstelaMandela @sonu_monika @RLDI_Lamy @SpirosMargaris @IanLJones98 @Timothy_Hughes @avrohomg @bimedotcom @HaroldSinnott @mvollmer1 @DG_Collective @sijlalhussain wired.com/story/data-center-โ€ฆ
5
21
29
773
Mike Flache reposted
Do we need to be worried?๐Ÿ˜” @sallyeaves @CurieuxExplorer @jblefevre60 @Mack1510019 @HaroldSinnott @EvanKirstel @enilev @bimedotcom @theomitsa @EstelaMandela @mikeflache @drsharwood @FrRonconi @Nicochan33 @Fabriziobustama @sulefati7 @AkwyZ @c4trends @Corix_JC v/ @DeepLearn007โคต๏ธ
Demis Hassabis confirmed every frontier AI lab is working on recursive self-improvement and in the same sentence said the safety risk of removing humans from the loop entirely keeps him up at night. That combination should stop you. The CEO of Google DeepMind just confirmed that the thing most people treat as a theoretical future risk is already the active focus of every serious lab on earth right now. He explained why it works in coding and math. The feedback loop is fast. You can verify whether an answer is correct almost instantly. You can generate synthetic training data from it. The loop closes quickly and cleanly. Then he said where it breaks down. In biology, chemistry and physics. Any domain where verifying a hypothesis requires a physical experiment in the real world. The loop does not close in seconds. It closes in weeks or months. Geoffrey Hinton said in his Nobel lecture that recursive self-improvement is the development he fears most and that once started it may not be possible to stop. Hassabis is not pushing back on that. He is describing the guardrails labs are building around a process they are already running. Every lab has to think carefully about the safety of a process where no human is in the loop. He said that as a constraint they are navigating right now. The question they are sitting with is how much of it to let run without a human watching. (Watch the full interview on YouTube at @twominutepapers channel)
4
16
22
748
Mike Flache reposted
Agentic AI cost reality, 2026: Chat with a model two years ago: $0.04. Agentic chat today: $1.20. Goldman Sachs forecast: 24x token consumption increase by 2030. JPMorgan employees: spending more on tokens monthly than their annual salary. EY's solution: hire a Head of Agent Economics. Gartner's forecast: 40% of agentic AI projects canceled by 2027. The math is not subtle. The consulting opportunity, apparently, is. richturrin.substack.com/p/agโ€ฆ #fintech #tech #finserv #AI @BetaMoroney @efipm @BrettKing @spirosmargaris @jasuja @enricomolinari @mikeflache
2
6
16
399
๐Ÿ›ก๏ธ ๐—”๐—ฟ๐—ฒ ๐˜†๐—ผ๐˜‚๐—ฟ ๐—ฐ๐˜†๐—ฏ๐—ฒ๐—ฟ ๐—ฑ๐—ฒ๐—ณ๐—ฒ๐—ป๐˜€๐—ฒ๐˜€ ๐—ฟ๐—ฒ๐—ฎ๐—ฑ๐˜† ๐—ณ๐—ผ๐—ฟ ๐Ÿฎ๐Ÿฌ๐Ÿฎ๐Ÿฒโ“ Most organizations are still reacting. ๐ŸŽฏ The real shift is toward autonomous, predictive security. Save this ๐Ÿ”– ๐Ÿ›ก๏ธ 1๏ธโƒฃ #๐—”๐—œ-๐——๐—ฟ๐—ถ๐˜ƒ๐—ฒ๐—ป ๐—”๐˜‚๐˜๐—ผ๐—ป๐—ผ๐—บ๐—ผ๐˜‚๐˜€ ๐——๐—ฒ๐—ณ๐—ฒ๐—ป๐˜€๐—ฒ โ†ณ AI agents that detect, isolate, and respond in real time โœ” Fewer alerts โœ” Faster containment โœ” Machine-speed defense โš”๏ธ 2๏ธโƒฃ ๐—”๐—œ ๐—”๐˜๐˜๐—ฎ๐—ฐ๐—ธโ€“๐——๐—ฒ๐—ณ๐—ฒ๐—ป๐˜€๐—ฒ ๐—”๐—ฟ๐—บ๐˜€ ๐—ฅ๐—ฎ๐—ฐ๐—ฒ โ†ณ Attackers use AI. Defenders must evolve faster โœ” Adaptive threats โœ” Adversarial simulation โœ” Model risk governance ๐Ÿงฌ 3๏ธโƒฃ #๐—ค๐˜‚๐—ฎ๐—ป๐˜๐˜‚๐—บ ๐—ฅ๐—ถ๐˜€๐—ธ & ๐—ฃ๐—ผ๐˜€๐˜-๐—ค๐˜‚๐—ฎ๐—ป๐˜๐˜‚๐—บ ๐—–๐—ฟ๐˜†๐—ฝ๐˜๐—ผ โ†ณ โ€œHarvest now, decrypt laterโ€ is already happening โœ” Crypto inventory โœ” PQC migration โœ” Q-Day readiness ๐Ÿ“Š 4๏ธโƒฃ #๐—–๐˜†๐—ฏ๐—ฒ๐—ฟ๐˜€๐—ฒ๐—ฐ๐˜‚๐—ฟ๐—ถ๐˜๐˜† ๐—•๐˜‚๐—ฑ๐—ด๐—ฒ๐˜๐˜€ ๐—ฆ๐˜‚๐—ฟ๐—ด๐—ฒ โ†ณ Spend is rising โ€” efficiency matters more โœ” $240B global market โœ” Smarter allocation โœ” ROI-driven security ๐Ÿ›๏ธ 5๏ธโƒฃ ๐—ฅ๐—ฒ๐—ด๐˜‚๐—น๐—ฎ๐˜๐—ผ๐—ฟ๐˜† ๐—ฃ๐—ฟ๐—ฒ๐˜€๐˜€๐˜‚๐—ฟ๐—ฒ๐˜€ ๐—œ๐—ป๐˜๐—ฒ๐—ป๐˜€๐—ถ๐—ณ๐˜† โ†ณ Security becomes a board-level mandate โœ” NIS2 โœ” DORA โœ” Cyber Resilience Act ๐Ÿ” 6๏ธโƒฃ ๐— ๐——๐—ฅ & ๐—–๐—ผ๐—ป๐˜๐—ถ๐—ป๐˜‚๐—ผ๐˜‚๐˜€ ๐—˜๐˜…๐—ฝ๐—ผ๐˜€๐˜‚๐—ฟ๐—ฒ ๐— ๐—ฎ๐—ป๐—ฎ๐—ด๐—ฒ๐—บ๐—ฒ๐—ป๐˜ โ†ณ Visibility beats volume โœ” Clear attack paths โœ” Fewer blind spots โœ” Continuous risk reduction ๐Ÿง  7๏ธโƒฃ ๐—œ๐—ป๐˜๐—ฒ๐—น๐—น๐—ถ๐—ด๐—ฒ๐—ป๐˜ ๐—ฆ๐—ฒ๐—ฐ๐—ข๐—ฝ๐˜€ > ๐—Ÿ๐—ฒ๐—ด๐—ฎ๐—ฐ๐˜† ๐—ฆ๐—œ๐—˜๐—  โ†ณ From passive logs to active decisions โœ” Reduced alert fatigue โœ” Automated containment โœ” AI-native operations ๐Ÿ’กBottom line: Cybersecurity is no longer about protection โžก๏ธ Itโ€™s about how fast you can sense, decide, and adapt. @enilev @Jagersbergknut @TysonLester @CurieuxExplorer @GlenGilmore @chidambara09 @jeancayeux @mvollmer1 @Nicochan33 @RLDI_Lamy @pchamard @mikeflache @FrRonconi @Fabriziobustama @Mack1510019 @PawlowskiMario @theomitsa @drsharwood @kalydeoo @baski_LA @AnthonyRochand @smaksked @Eli_Krumova @andresvilarino @gvalan @bimedotcom @arlenenewbigg @NewsNeus @domingonarvaez1 @jornalistavitor @jblefevre60 @thomas_dettling @FmFrancoise @nafisalam @Mhcommunicate @Corix_JC @c4trends @ipfconline1 @smoothsale @amalmerzouk @PVynckier @bbailey39 @SiddharthKS @NathaliaLeHen @jasuja @ralf_ladner @c4trends @SabineVdL @mary_gambara
10
82
258
94,522