🚀 Check out this awesome post from WIRED 📖 📂 **Category**: Business,Business / Artificial Intelligence,Cable Vision 💡 **What You’ll Learn**: Artificial intelligence in the Gulf Its ambitions depend on something surprisingly fragile: a handful of submarine cables running through some of the world's most turbulent waterways.Countries like Saudi Arabia and the United Arab Emirates have spent billions building AI infrastructure, attracting super-scalers and positioning themselves as future exporters of computing power. But as the region shifts from oil wealth to AI-based economies, the infrastructure that holds that data is increasingly a strategic vulnerability.Submarine cables have long powered the global Internet.…
💥 Read this insightful post from Hacker News 📖 📂 **Category**: ✅ **What You’ll Learn**: For each AI chip designed by Nvidia, AMD, Google, and Amazon, we estimate the per-chip cost of four component categories: memory (HBM), logic dies, advanced packaging (CoWoS), and auxiliary components. We then multiply those per-chip costs by estimated quarterly production volumes to get total component spending in each category, and compute each category’s share of total component spending per quarter from Q1 2024 to Q4 2025. We find that memory’s share rose from 52% to 63% over this period, while packaging fell from 19% to…
🔥 Discover this trending post from WIRED 📖 📂 **Category**: Gear,Gear / How To and Advice,Radio On 💡 **What You’ll Learn**: You can also add stations manually, which is useful if the station you like doesn't appear in the built-in search. To do this, you will need to find a link to the PLS file that the station is using, this is what allows Trdo to find the radio station. Many online radio stations offer these links for free on their websites, just look for the Streaming Links section.If you can't find a link to the stream, don't worry: there…
✨ Check out this insightful post from Hacker News 📖 📂 **Category**: ✅ **What You’ll Learn**: location_surface_grids = 🔥 with location_error_gp_model: for multiplier, X_noisy_value in zip(multipliers, noisy_xs): pm.set_data(💬) posterior_mean_point = 💬 f_mean, _ = gp_location.predict(Xnew, point=posterior_mean_point, diag=True, pred_noise=False) location_surface_grids[multiplier] = f_mean.reshape(n_prediction_grid, n_prediction_grid) naive_kde_grids = 💬 kde_bandwidths = { multiplier: location_error_idatas[multiplier].posterior["ℓ"].mean(("chain", "draw")).item() for multiplier in multipliers } for multiplier, X_noisy_value in zip(multipliers, noisy_xs): squared_distance = ( (Xnew[:, 0, None] - X_noisy_value[:, 0]) ** 2 + (Xnew[:, 1, None] - X_noisy_value[:, 1]) ** 2 ) weights = np.exp(-0.5 * squared_distance / kde_bandwidths[multiplier]**2) naive_kde_grids[multiplier] = (weights @ y_walker / weights.sum(axis=1)).reshape(n_prediction_grid, n_prediction_grid) location_norm =…
✨ Explore this awesome post from WIRED 📖 📂 **Category**: Gear,Gear / Reviews,Gear / Products / Computers,Gear / Products / Gaming,Product Review 💡 **What You’ll Learn**: While the 5g weight reduction may seem minor, the improvements were immediately noticeable, resulting in the quick, snappy movements and clicks required in first-person shooters. In games that focus on accuracy e.g Counter Strike 2the weight was perfectly balanced when throwing it without being so light that I lost control, and in fast-paced titles like Hell Divers 2The added agility gave me the ability to engage multiple enemies at once (or, more accurately, easily…
💥 Explore this trending post from Hacker News 📖 📂 **Category**: ✅ **What You’ll Learn**: Out of all the migrations I help teams with, Go to Rust is a bit of an outlier. It’s not a question of “is Rust faster?” or “does Rust have types?”, Go already gets you most of the way there. The discussion is mostly about correctness guarantees, runtime tradeoffs, and developer ergonomics. A quick disclaimer before we start: this guide is heavily backend-focused. Backend services are where Go is strongest, small static binaries, a standard library focused on networking, and an ecosystem of libraries for…
✨ Read this insightful post from WIRED 📖 📂 **Category**: Gear,Gear / Products / Gaming,Gear / Reviews,Product Review 📌 **What You’ll Learn**: In terms of inputs, it takes almost all of the control methods from the Steam Deck, except the touchscreen, and crams them into an 11 x 16 x 6cm design. Valve tries to have it both ways when it comes to its most familiar controls, using Xbox's ABXY face buttons and a wide aesthetic but PlayStation's identical joystick layout, as well as dual shoulder buttons and a pair of analogue triggers. Players accustomed to either will soon adapt…
🔥 Check out this awesome post from Hacker News 📖 📂 **Category**: ✅ **What You’ll Learn**: This post assumes a basic level of familiarity with the jujutsu version control system. If you haven't used jujutsu, you'll still get the gist of the idea, but I recommend reading Steve's Jujutsu tutorial after.When developing a large feature, writing Good Commits is hard.And by Good Commits, I mean something like:define types add DB functions server CRUD client API client UIThis allows reviewers to step through your pull request in small bites, with each set of changes scoped to a single aspect of the…
🔥 Read this must-read post from TechCrunch 📖 📂 **Category**: AI,TC 💡 **What You’ll Learn**: I recently had the opportunity to sit down with Francis De Souza, COO of Google Cloud, behind the scenes at an event in Los Angeles. Amid the noise around us, De Souza, who speaks in the calm, measured manner of a university professor, offered helpful advice for companies navigating the AI security moment we're all in, noting that "there will be a transition period, and then I think we'll get to that better place." He wasn't talking about Google at that moment, but apparently even…
🔥 Explore this insightful post from Hacker News 📖 📂 **Category**: 💡 **What You’ll Learn**: A new study published in Nature’s Humanities and Social Sciences Communications journal has confirmed what many workers have quietly hoped for: companies can switch to a four-day work week and not only survive, but thrive.The research tracked 15 Australian companies that trialled the 100:80:100 model between 2022 and 2024.The model is simple: workers receive 100% of their pay, work 80% of their previous hours, and commit to maintaining 100% of their previous output.The results were striking.14 of the 15 companies chose to continue with the…
