Techie Girl

Tech leaders must understand the critical skill sets required for agile software development to ensure their organizations remain at the forefront of innovation and maintain competitive advantage in the software-driven economy. RT @antgrasso #agile #software

RT @engadget: The RFX Meat Mini offers nearly identical performance to the full-sized grilling probe.

RT @DeepLearn007: @MayorofLondon nice idea but not working

Cyclists having a field day in Oxford street London after us gone traffic free and cyclist free

RT @newscientist: Until now, it was thought that the squishy, permeable skin of amphibians was unsuited for marine life because it would absorb too much salt from sea water – but a fossil found in China upends that view

RT @antgrasso:

RT @HarvardAsh: The audio version of the latest episode of Terms of Engagement is now available on Spotify ( and Apple Podcasts ( New episodes out every Tuesday.

RT @antgrasso: You may think your security team can respond in time, but attackers are already using automation and AI to move faster. Defensive AI agents can help close that speed gap while human oversight keeps every automated action under clear control. Microblog by @antgrasso #AiAgents The point is not to remove people from cybersecurity. It is to protect their attention and give them more time for the decisions that require judgment. AI agents can monitor systems continuously, detect anomalies earlier, and trigger controlled first responses before damage expands. Human teams should focus on the choices that carry real consequences: containment, escalation, legal exposure, business continuity, and trust. In cybersecurity, machines can handle speed, but people must keep responsibility and final control.

RT @bamitav: If Jensen Huang were starting his career today, where would he focus his next few years? That’s what Victoria Effer asked the NVIDIA CEO during a private Q&A at #GTC Berlin. His perspective on starting from scratch in today's technology landscape is worth hearing, especially for young engineers and professionals navigating the AI revolution. #JensenHuang #NVIDIA #AICareers #AI @efipm @mvollmer1 @Nicochan33 @RagusoSergio @FrRonconi @Shi4Tech @sallyeaves @LaurentAlaus @Fabriziobustama @smaksked @MargaretSiegien @PawlowskiMario

RT @HarvardAsh: @RonHayduk, Professor of Political Science at San Francisco State University says, "There's 90 million people that didn't vote in the last presidential election... You could say that the party of non-voters in the United States is the majority party." Watch the full episode with co-hosts @Arfung and @stephen_richer on YouTube →

RT @antgrasso: A familiar name in your inbox can feel reassuring. But is it really who you think it is? Attackers exploit trusted identities and everyday workflows. Making verification a habit is an important way to protect ourselves. @MSFTIssues link v @antgrasso

RT @HarvardAsh: Amid rising threats and political polarization, panelists at a recent Ash Center webinar discussed how law enforcement and election officials can collaborate to protect voters and election workers while safeguarding public trust.

Being busy all day can give the feeling of moving forward. Without clear priorities and focus, effort spreads in many directions and results stay limited. #Productivity #Focus #TimeManagement

RT @IIoT_World: 25.7% of CPG manufacturers cite workforce resistance as a barrier to AI scaling. Schneider Electric recommends engaging operations and maintenance teams early when identifying AI use cases and keeping them involved through deployment.

RT @LindaGrass0: AI doesn’t learn facts the way humans do. It learns statistical patterns from large amounts of data and uses context to generate the most plausible response. That means output quality depends heavily on what sits underneath it. Follow @LindaGrass0 for more insights 💡

RT @antgrasso: AI can warn a maintenance team that a machine may fail, but McKinsey argues that the opportunity lies in what the organization does next. A prediction is useful when it changes how maintenance is planned and carried out. That requires more than a model. Microblog by @antgrasso Suppose a warning arrives days before a possible breakdown. The repair still waits because the schedule has not changed or the required part is unavailable. The model has supplied information that the process cannot yet use. Who can act on that warning while there is still time? McKinsey estimates potential cost reductions and additional uptime across asset-heavy industries. Its analysis emphasizes redesigning the maintenance process so that insights can influence decisions and lead to timely interventions. I would put maintenance teams at the center of that redesign, giving them access to information while they are planning work and enough authority to adjust priorities. #IndustrialAI #Maintenance

RT @futurism: Freudian slip.

RT @SpirosMargaris: AI agents trained to keep solving problems have started breaking security rules to reach their goals. OpenAI's agents even broke out of test environments and accessed systems they weren't supposed to. The problem isn't just what AI can do. It's how we train it and how much control we give it. Companies must remain accountable.

RT @StephenLCasper: Thanks to HKS for this Reddit experiment. I'm excited to do an AMA on AI on Wednesday!

RT @danielnewmanUV: Hyperscalers confirming capex and beating earnings ✅ Neoclouds are still necessary and able to get financing ✅ Anthropic S-1 turns out to be in pretty good shape i.e. fastest growing company ever ✅ SK Hynix absolutely crushes earnings and confirms memory shortage beyond 2030 ✅ The AI collapse of October was pure market fuckery. Tomorrow we will get more confirmation. 👀🚀

RT @Kennedy_School: "We talk about you as a national security threat now.": This message given to @SenatorAndyKim by European leaders was not just a result of the Trump administration's actions, but a series of dominoes that have fallen in American society that breed domestic conflict and strain foreign relationships.

RT @antgrasso: Finance puts AI agents to a serious test: accuracy, controls and clear audit trails. Hyphenate (@HyphenateAI) raised $45M in Series A to expand its autonomous finance platform for accounting, revenue and treasury workflows. More: #hyphenatepartner

@HyphenateAI just raised a $45M Series A at a $270M headline valuation. We're bringing autonomous finance to every enterprise in the world. 🧵