π₯ Read this awesome post from WIRED π π **Category**: Gear,Gear / How To and Advice,In Transit β
**What Youβll Learn**: Photo: Jordan Michelman4222 Vineland Street, North Hollywood, (818) 980-8000The Valley isn't just one place, either β it's a collection of unique cities and subcultures that occupy the northern suburbs of Los Angeles. It's the land of Paul Thomas Anderson's films, immortalized in the music of Tom Petty and Frank Zappa. If you're in the Southlands to attend events in and around the television and film industry, or to check out the Universal Studios theme park complex, you'll save time…
π₯ Discover this awesome post from Hacker News π π **Category**: β
**What Youβll Learn**: written on May 24, 2026 Pi is now part of Earendil, but in the important sense it is still Marioβs project. He has been living with its issue tracker longer than I have, and he has been exposed to the weirdness of the new form of agent traffic in Open Source projects for longer too. This post is mostly a reflection of my own experience after spending more time in the tracker, using Pi to work on Pi, and watching what I have learned about…
π₯ Discover this awesome post from WIRED π π **Category**: Business,Business / Artificial Intelligence,Model Behavior π **What Youβll Learn**: Three months ago, Greg Brockman, co-founder of OpenAI, told me about his concerns about the mounting PR crisis facing AI companies: Despite the popularity of tools like ChatGPT, an increasingly large percentage of the population said they viewed AI negatively. Since then, the backlash has intensified.University commencement speakers are now being booed for speaking about artificial intelligence in optimistic terms. Last month, someone threw a Molotov cocktail at the home of OpenAI CEO Sam Altman in San Francisco and wrote a…
π Discover this trending post from Hacker News π π **Category**: π **What Youβll Learn**: Page introuvable... | Usborne | Des livres pour explorer le monde
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π Check out this awesome post from WIRED π π **Category**: Business,Business / Artificial Intelligence,Cable Vision π‘ **What Youβll 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.…
π₯ Read this insightful post from Hacker News π π **Category**: β
**What Youβll 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 categoryβs share of total component spending per quarter from Q1 2024 to Q4 2025. We find that memoryβs share rose from 52% to 63% over this period, while packaging fell from 19% to…
π₯ Discover this trending post from WIRED π π **Category**: Gear,Gear / How To and Advice,Radio On π‘ **What Youβll 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…
β¨ Check out this insightful post from Hacker News π π **Category**: β
**What Youβll Learn**: location_surface_grids = π₯ with location_error_gp_model: for multiplier, X_noisy_value in zip(multipliers, noisy_xs): pm.set_data(π¬) posterior_mean_point = π¬ 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 = π¬ kde_bandwidths = { multiplier: location_error_idatas[multiplier].posterior["β"].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 =…
β¨ Explore this awesome post from WIRED π π **Category**: Gear,Gear / Reviews,Gear / Products / Computers,Gear / Products / Gaming,Product Review π‘ **What Youβll 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…
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**What Youβll Learn**: Out of all the migrations I help teams with, Go to Rust is a bit of an outlier. Itβs not a question of βis Rust faster?β or βdoes Rust have types?β, 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…
