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The Flaws of MIA MIA, the new drama created by Bill Dubuque, the mastermind behind Ozark, had all the ingredients for a gripping series. Set in Miami, Florida, the show explores the extremes of the American experience, where ostentatious wealth and illegal activities coexist, propped up by the hard work and dreams of immigrants. A Missed Opportunity for Depth The series starts with a promising premise, focusing on Etta, a young woman who seeks revenge after her family is slaughtered by a drug cartel. However, the thoughtful treatment of the immigrant experience is quickly overshadowed by a silly revenge thriller. The show's attempt to balance the serious subtext with an action-packed plot falls flat. The Problem with Convenient Plot Devices The show relies heavily on convenient plot devices, such as Etta's photographic memory, which helps her in her quest for revenge. Additionally, her connections to a badass aunt and a motel owner with unusual skills feel contrived and undermine the show's credibility. A Lackluster Villain The Rojas cartel, the main antagonists of the show, are underwhelming. Their sibling rivalry and attempts to expand their business into people-trafficking feel like boilerplate villainy. The character of Cary Elwes' gumshoe is equally ineffectual, adding to the show's dullness. A Glimmer of Hope The 'found family' that Etta gathers is the highlight of the show. However, even this aspect gets lost as Etta starts eliminating her targets. A big twist at the end sets up a potential second season, but it may not be enough to redeem the show's overall lackluster performance.

The Rejected Media Credential The plan to fly to Las Vegas to cover what the Enhanced Games claims is the “next frontier of human performance” ended with a short email sent at 7.02pm on Friday. “After careful consideration, we are unable to approve your media credential request for this year’s event,” it said. “Due to the high volume of applications and limited media capacity, we could not accommodate all requests … thank you again for your interest and understanding.” The Concerns About the Enhanced Games Admittedly, the rejection didn’t come entirely out of the blue. Unlike most sports organisations, the Enhanced Games had a pre-screening process which led to a nice PR man calling me a few days beforehand. His opening gambit? To point out the Guardian’s negativity towards the event. The Questions I'd Ask Why, he then asked, weren’t we criticising others in the longevity space? Er, because they aren’t running an event dubbed the Steroid Olympics? What about the basics? Are the tracks legal, the timing devices reputable, the officials pulled off the streets? You claim that the athletes are leaving “the old system behind for a new era of honesty and science”. But do you really believe that steroids, human growth hormone and EPO are safe? Can athletes sue the Enhanced Games? Many of you have stressed the benefits of taking banned drugs. But have you experienced any side-effects? What is your response to former athletes who say you are a dangerous influence on kids? The Future of the Enhanced Games Personally, I believe such talk is nonsense. But I don’t dismiss the Enhanced Games out of hand. I spoke to one person in the health-tech space, who has dealt with its founders, and he pointed out they are smart people and billionaires who tend to get what they want.

The Forbidden Garden: A Modern Reinterpretation of the ClergyChannel 4's new drama Falling introduces a provocative twist on the traditional period piece by centering on a forbidden romance between a nun and a priest. Set in a convent garden within a community plagued by social issues, the series follows Anna, played by Keeley Hawes, a woman who entered the order at 18 and has never known the outside world, and David, played by Paapa Essiedu, a younger, worldly priest with his own demons.Breaking the Wall: Humanizing the FaithfulThe series distinguishes itself by moving beyond the stereotype of the fanatical religious leader. Both actors emphasize the humanity of their characters—discussing mundane realities like buying socks and the physical toll of the job. A key narrative device is the concept of "jumping the wall," the difficult decision for nuns to leave the order, which Hawes researched extensively with an ex-nun. The show subtly explores how menopause acts as a catalyst for Anna's sudden desire and departure from her vows, adding a layer of biological realism to the spiritual conflict.A Timeless Ethereal: The Future of British DramaDespite the modern themes of desire and identity, *Falling* maintains a timeless, almost ethereal atmosphere. The absence of smartphones and athleisure clothing contributes to a liminal setting where the struggle between the "now" and "eternal souls" feels universal. As the industry moves toward more grounded, gritty portrayals of modern life, *Falling* offers a counter-narrative: a drama that is "good but not wet," balancing wholesomeness with complex, ardent passion.

Breaking Down the Complex Language of AI Artificial intelligence is changing the world, and simultaneously inventing a whole new language to describe how it’s doing it. Spend five minutes reading about AI and you’ll run into LLMs, RAG, RLHF, and a dozen other terms that can make even very smart people in the tech world feel insecure. This glossary is our attempt to fix that. We update it regularly as the field evolves, so consider it a living document, much like the AI systems it describes. Artificial General Intelligence (AGI) Artificial general intelligence, or AGI, is a nebulous term. But it generally refers to AI that’s more capable than the average human at many, if not most, tasks. OpenAI CEO Sam Altman once described AGI as the “equivalent of a median human that you could hire as a co-worker.” Meanwhile, OpenAI’s charter defines AGI as “highly autonomous systems that outperform humans at most economically valuable work.” Google DeepMind’s understanding differs slightly from these two definitions; the lab views AGI as “AI that’s at least as capable as humans at most cognitive tasks.” Confused? Not to worry — so are experts at the forefront of AI research. AI Agent An AI agent refers to a tool that uses AI technologies to perform a series of tasks on your behalf — beyond what a more basic AI chatbot could do — such as filing expenses, booking tickets or a table at a restaurant, or even writing and maintaining code. However, as we’ve explained before, there are lots of moving pieces in this emergent space, so “AI agent” might mean different things to different people. Infrastructure is also still being built out to deliver on its envisaged capabilities. But the basic concept implies an autonomous system that may draw on multiple AI systems to carry out multistep tasks. API Endpoints Think of API endpoints as “buttons” on the back of a piece of software that other programs can press to make it do things. Developers use these interfaces to build integrations — for example, allowing one application to pull data from another, or enabling an AI agent to control third-party services directly without a human manually operating each interface. Most smart home devices and connected platforms have these hidden buttons available, even if ordinary users never see or interact with them. As AI agents grow more capable, they are increasingly able to find and use these endpoints on their own, opening up powerful — and sometimes unexpected — possibilities for automation. Chain-of-Thought Reasoning Given a simple question, a human brain can answer without even thinking too much about it — things like “which animal is taller, a giraffe or a cat?” But in many cases, you often need a pen and paper to come up with the right answer because there are intermediary steps. For instance, if a farmer has chickens and cows, and together they have 40 heads and 120 legs, you might need to write down a simple equation to come up with the answer (20 chickens and 20 cows). Coding Agent This is a more specific concept that an “AI agent,” which means a program that can take actions on its own, step by step, to complete a goal. A coding agent is a specialized version applied to software development. Rather than simply suggesting code for a human to review and paste in, a coding agent can write, test, and debug code autonomously, handling the kind of iterative, trial-and-error work that typically consumes a developer’s day. Compute Although somewhat of a multivalent term, compute generally refers to the vital computational power that allows AI models to operate. This type of processing fuels the AI industry, giving it the ability to train and deploy its powerful models. The term is often a shorthand for the kinds of hardware that provides the computational power — things like GPUs, CPUs, TPUs, and other forms of infrastructure that form the bedrock of the modern AI industry. Deep Learning A subset of self-improving machine learning in which AI algorithms are designed with a multi-layered, artificial neural network (ANN) structure. This allows them to make more complex correlations compared to simpler machine learning-based systems, such as linear models or decision trees.

Perplexity announced that its Personal Computer AI agent is now generally available to any macOS user through a dedicated desktop application, moving the technology from a cloud‑only model to the local machine.General‑Purpose AI Agent Moves From Cloud‑Only to Local Mac DevicesPersonal Computer expands the capabilities of the earlier Perplexity Computer by accessing local files, native macOS applications, and web resources.The app is distributed as a direct download and is not yet listed in the Mac App Store.It can be paired with Perplexity’s Comet browser to run web‑based tools without additional connectors.Subscription Model and Feature Set: What’s Included at LaunchRequires a Pro or Max subscription; the basic download is free.Supports integration with over 400 connectors and can orchestrate multi‑step workflows across apps.Designed for always‑on devices such as the Mac Mini and offers remote task approval via iPhone.Security Positioning Against Competing Local AgentsWhile competitors like OpenClaw have been criticized for elevated permissions and associated security risks, Perplexity markets Personal Computer as a “secure development environment” that keeps sensitive data on the device while processing in Perplexity’s servers.Future Roadmap: Deprecation of Legacy App and Expansion PlansThe older Perplexity Mac app will be phased out in the coming weeks.Perplexity hints at broader OS support and deeper integration with its AI ecosystem as adoption grows.Continued focus on remote accessibility suggests potential iOS‑only companion experiences.

The Settlement Details Apple has agreed to pay $250 million to settle a class-action lawsuit over how it marketed its AI features ahead of the launch of the iPhone 16. The lawsuit alleged that Apple exaggerated the breadth of features Apple Intelligence would bring, which included a significantly upgraded version of its assistant, Siri. The Allegations Against Apple The complaint alleges that the company created the impression that advanced AI capabilities would be available to users sooner than they actually were. In particular, the plaintiffs allege that Apple overstated both the readiness and functionality of these features, particularly the promised improvements to Siri, which have yet to fully materialize. The Financial Impact Apple will pay up to $250 million to settle the lawsuit. Eligible U.S. customers who purchased the iPhone 15 or iPhone 16 between June 10, 2024, and March 29, 2025, could receive up to $95 per device. The Future of Siri Apple has been touting a more advanced version of Siri ever since it unveiled Apple Intelligence in 2024 during WWDC. The anticipated updates are expected to help Siri function more like modern AI chatbots such as ChatGPT or Claude. The upgraded experience is rumored to be powered by Google Gemini, though newer reports state the company’s next iPhone operating system may let users choose from a number of third-party large language models. The Upcoming Developer Conference The settlement arrives ahead of Apple’s annual developer conference on June 8, when the company is expected to preview a version of its AI-enhanced Siri.

The Trillion-Dollar Milestone for SamsungSouth Korean tech giant Samsung reached a historic $1 trillion valuation on Wednesday as its shares surged more than 10%, driven by the ongoing artificial intelligence frenzy that's fueling unprecedented demand for chips. This milestone makes Samsung only the second Asian company to cross the trillion-dollar threshold, following Taiwan Semiconductor Manufacturing Company (TSMC).Financial Surge Driven by AI Chip DemandThe valuation surge comes on the heels of a blockbuster earnings report last week, in which Samsung posted profits eight times higher than the same period a year ago. At the heart of this financial boom is high-bandwidth memory (HBM), a specialized type of chip critical to running AI systems, which has dramatically improved the company's profit margins.Every company building AI right now requires advanced chips, and Samsung produces the memory chips that power these AI systems. As demand surges while supply struggles to keep pace, prices continue to climb, directly boosting Samsung's financial performance.Strategic Shifts in the Semiconductor IndustrySeveral factors contributed to Samsung's stock surge on Wednesday. Reports emerged that Apple has been in talks with both Samsung and Intel to manufacture chips for Apple devices on U.S. soil. This potential partnership would mark a significant shift in the global semiconductor supply chain, as Apple has long relied almost exclusively on TSMC in Taiwan for its chip production.The AI boom is driving a chip shortage across the semiconductor industry, as the world's three largest memory chip makers—Samsung, SK Hynix, and Micron—struggle to meet runaway demand from AI data centers. All three companies have redirected investment away from their consumer chip businesses to ramp up production of HBM, which carries substantially higher margins and has become essential to powering large-scale AI infrastructure.Intense Competition and Internal ChallengesDespite Samsung's current success, the company faces intense competition from rival SK Hynix, another South Korean semiconductor giant that is aggressively vying for the same HBM market. This competitive pressure keeps Samsung on its toes, requiring continuous innovation to maintain its technological edge.Internally, Samsung faces several challenges. Workers are threatening an 18-day strike later this month, demanding a bigger share of the AI-driven profits. Additionally, the company's phone and TV divisions, which also need to purchase the same memory chips to build their products, are paying a steep price for the same chips that are powering Samsung's record profits.Future Outlook in the AI Chip RaceLooking ahead, Samsung's position in the AI chip market appears strong but not without challenges. The company's trillion-dollar valuation reflects market confidence in its ability to capitalize on the AI revolution, but maintaining this momentum will require navigating complex geopolitical tensions, supply chain constraints, and intense competition.The potential partnership with Apple could provide a significant boost to Samsung's semiconductor division, offering a stable, high-volume customer outside the traditional AI data center market. However, the company must also address internal labor relations and find ways to balance the needs of its different business units in an increasingly competitive landscape.

Replit’s Billion‑Dollar Run‑Rate Surge At a sold‑out StrictlyVC event, Amjad Masad outlined how Replit grew from $2.8 million in 2024 revenue to a trajectory that could exceed a $1 billion annual run‑rate within months, positioning the firm as a heavyweight in AI‑assisted software creation. Why Replit’s Economics Defy a Cursor‑SpaceX Sale Masad contrasted Replit’s financial health with Cursor’s reported negative 23% gross margins and the speculative $60 billion SpaceX acquisition talk. He argued that Replit’s positive gross margins, product‑led growth, and focus on non‑technical creators give it a sustainable path without needing a buy‑out. Replit has been gross‑margin positive for over a year. Target market: non‑technical users who previously could not build software. End‑to‑end platform includes prompts, deployment, security, and managed databases. Revenue, Retention, and Margin Numbers Paint a Strong Picture Key metrics highlighted during the interview: Net revenue retention reaching as high as 300% in certain enterprise accounts. Enterprise customers such as Zillow and Meta upgraded organically after product adoption. Customers report ROI multiples of 10‑30×; a $100,000 monthly spend can generate $2‑10 million in value. Transaction volume through the newly integrated Stripe system is growing in triple‑digit month‑over‑month percentages. Apple’s App Store Blockade and Its Ripple Across the AI‑Coding Landscape Replit has been stuck in App Store “purgatory” for months, a situation Masad attributes to Apple feeling threatened by Replit’s ability to push code to iOS devices. Apple claims the blockage is due to post‑approval code downloads, a charge Masad calls a lie and says he is prepared to litigate. Four‑year presence on the App Store, used by students in under‑privileged communities. Apple’s restriction does not threaten core revenue but harms brand perception and user acquisition. Potential precedent for other AI‑coding platforms seeking mobile distribution. What’s Next for Replit: Independence, Customer‑Equity Deals, and Market Position Looking forward, Masad emphasized three strategic pillars: Maintain independence despite occasional acquisition interest from partners. Explore equity‑for‑services arrangements, investing in startups that originated on Replit. Double down on security and full‑stack capabilities to differentiate from “vibe‑coding” competitors. If Replit continues to leverage its high retention, strong margins, and growing ecosystem, it could set a new benchmark for AI‑driven development platforms while forcing Apple to reconsider its App Store policies.

The Unexpected Surge in Mac Sales Apple's recent quarter saw iPhone sales and Services revenue take center stage, but the Mac segment quietly outperformed expectations. The tech giant reported $8.4 billion in Mac revenue for Q2, ended March 28, beating Wall Street's estimate of $8 billion. AI-Driven Demand Mac sales were up 6% year-over-year, defying expectations of flat growth. CEO Tim Cook attributed the growth to customers using Macs for local AI models, such as OpenClaw. The Mac mini and Mac Studio devices sold out in recent weeks, contributing to the surprise demand. The Role of New Product Launches Apple's recent product launches, including the MacBook Neo, played a significant role in the Mac sales growth. Cook described customer demand for the Neo as "off the charts" and higher than expected. Enterprise Demand and Market Trends Enterprise demand for Macs was a contributing factor, with companies like Perplexity turning to Macs for building AI assistants. The Mac mini was the top-selling desktop in China, a market experiencing high demand for AI-related products. School systems, such as Kansas City Public Schools, are also adopting Macs, with some dropping Chromebooks for the MacBook Neo. The Future Outlook Despite the strong demand, Mac revenue was flat on a quarter-over-quarter basis. Cook warned that it may take Apple "several months" to reach supply-demand balance on the Mac mini and Studio models.