eval parse

@aakashgupta to be fair phil had all the gaming experience but xbox still died. i mean it's basically dead.

Asha Sharma has zero gaming industry experience. Her career started in marketing at Microsoft, then she ran operations at Porch Group, a home services startup. From there she went to Meta, where she ran product for Facebook Messenger and scaled it to billions of users. Then COO of Instacart, where she took the company through its IPO and into profitability. Then back to Microsoft to run product for CoreAI. Two years later, she’s CEO of an $18 billion gaming division. That resume looks random until you map it against what Xbox actually needs right now. Gaming revenue dropped 9% last quarter. Hardware sales fell 32%. Game Pass hit 34 million subscribers and then flatlined. Content and services revenue declined 5% over the holidays. Even Call of Duty underperformed. The business that Phil Spencer nearly tripled in size through the $69 billion Activision Blizzard deal is shrinking. Phil spent 38 years at Microsoft. He restored Xbox’s reputation after the disastrous Xbox One launch, championed backward compatibility, and closed the largest acquisition in gaming history. But the numbers tell a different story than the farewell tour. Xbox Series X|S sold 1.7 million units last year. PS5 sold 9.2 million. Console sales have declined every single year since 2022. Phil’s Xbox was beloved by the core audience and losing the market. Sarah Bond was the consensus internal successor. She ran Xbox day-to-day as president, shaped the platform strategy, expanded Game Pass and cloud gaming, and oversaw new hardware launches. On paper, she was next in line. Instead, she’s leaving the company entirely. Satya didn’t just skip the gaming insider for the succession. He exited her. That tells you this is a strategic pivot. Every role Asha has held was about taking a product that already had users and building the economic engine on top. Messenger was a platform play. Instacart was a marketplace play. CoreAI was an infrastructure play. Xbox has Bethesda, Blizzard, Activision, and 40 other studios under Matt Booty, who just got promoted to chief content officer reporting to Asha. The content already exists. The distribution and monetization engine needs to be built. Her first memo to the gaming team reveals how she plans to navigate the politics. She pledged to recommit to core Xbox fans and promised they wouldn’t “flood our ecosystem with soulless AI slop.” A new gaming CEO who ran AI products at Microsoft, telling 10,000 gaming employees she understands the third rail. She also wants to return to “the renegade spirit that built Xbox.” The gaming audience gets reassurance. Satya gets his platform operator. Satya is betting that 34 million Game Pass subscribers should be 100 million, and that the person who scaled Messenger to billions and took Instacart from pre-IPO to profitable can build the growth engine that gaming lifers couldn’t.

@elonmusk in contrast, if u are in the usa and wanna work on fabrication of facts, join the trump adminstration.

If you’re in Korea and want to work on chip design, fabrication or AI software, join Tesla!

@fchollet When more roads are built, it becomes more congested. The same will be for software. When it's expensive, demand is low but when it's cheap, paradoxically (or not) demand increases!

What happens when a skill can be almost fully automated with AI? Do these jobs simply disappear? Instead of purely speculating we can simply look at concrete examples. Take translators. Translation can be 100% automated with AI, and this capability has been around since 2023. So we have 2-3 years of data. What we see so far: - Stable FTE count, but slow hiring or no hiring - Nature of the job switched from doing it yourself to supervising AI output (post-editing) - Increased task volume - Decreased hourly rates - Freelancers getting cut We are now starting to see the same pattern with software jobs. Overall there's definitely some pressure on employment but we're very far from "the jobs just go away". In fact the number of full-time translators is still modestly increasing. When the economy rebounds from the ongoing "stealth recession" and companies start hiring again, the world will have more professional software engineers than we did before GenAI. The mass layoffs you're about to see in the tech sector won't be caused by job automation. They will be caused by fears about the economy, like in 2022. It won't be unrelated to AI, mind you, since it ties into big tech capex needs. But it won't be due to automation.

@KevinNaughtonJr soon enough

now that AI has fully replaced frontend engineers i wonder how long it'll take to fully replace backend engineers

@PlumbNick when will leadership be replaced and swapped out?

Well this isn’t exactly how I hoped my day would start. After 8 years, I just got laid off - as did 16k of my peers. But before anyone rushes in with explanations that make them feel better, let me be clear about what this wasn’t. It wasn’t performance and it wasn’t AI. It wasn’t location, versatility or impact. I was an L7, I led global AI enablement. I built systems executives depended on, moved wherever the company needed me and fixed problems that had been sitting untouched because no one else could untangle them. And I was still cut. Here’s the part we’re all supposed to politely ignore: in the U.S. right now, experience isn’t an asset, it’s a liability. And if you’re expensive because you’re good at what you do, the system eventually “optimizes” you out. This doesn’t happen in isolation. It’s enabled by a global labor market with almost no guardrails. Companies aren’t just competing on products anymore, they’re arbitraging labor across borders, wages, benefits and worker protections. When replacement is cheaper than retention, the decision gets framed as strategy instead of consequence. AI becomes the excuse, not the cause. It’s the clean narrative that hides what’s actually happening: experienced workers being swapped out through global labor substitution while leadership talks about “efficiency” and “the future of work.” That cycle keeps repeating because nothing in our policy stack meaningfully pushes back. Trade, labor and technology policy all pretend they’re separate, and workers pay the price for that fiction. I saw this coming and that’s why I’m running for Congress. I understand how this system works because I’ve lived inside it and I know it won’t fix itself. This is a rules problem and the rules are written by people who don’t bear the cost. If this resonates, don’t just nod along and move on. Support my candidacy, back someone who actually understands how global labor, AI and corporate incentives intersect and believe me when I say I am motivated to address this directly. By pretending this is inevitable, we’re accepting the outcome. #amazonlayoffs

@hamptonism Just a good old uni student doing a side job

This is who you’re competing against, Chinese fruit seller and chip designer. Yea, you’re cooked:

@EthanEvansVP i lucked out and now ia am using hindsight and ignore survivorship bias to make a few quick bucks. did i summarise your whole "operation" right?

I became a VP at Amazon because I made some risky bets and got them right. I also had some go wrong. But because I generally made good decisions quickly and minimized the risks, I won enough to move up. Here is how you can learn this essential executive skill:

@ChShersh you have more skills

I don’t know what’s wrong with me. But when I saw AI produce code in minutes that would took me a whole weekend to write, I didn’t feel threatened at all.

@predict_addict How long has deep network been around before back propogation was discovered?

@evalparse Dude Bayesian deep learning is almost 40 years old. There has been more than enough time to scale it, more importantly no amount of research will make it produce correct predictions as in line with user specified coverage. It is a design fault, not a feature.

Never ask a woman her age, a man his salary or a Cambridge machine learning department why waste taxpayer funds on frameworks that neither work nor scale like on Gaussian processes or Bayesian deep nets. #bayesianism

@unclebobmartin For how long? 6 months max

Claude codes faster than I do, by a significant factor. Claude can hold more details in its "mind" than I can -- again by a significant factor. But Claude cannot hold the big picture in it's mind. It doesn't really even understand the concept of a big picture. Architecture is likely beyond it's capacity. And although Claude appreciates the value of refactoring, it shows no inclination to acquire that value for itself. It has no sense of self preservation. It does not look ahead and foresee the disaster it is creating.

@imbktan Execs pay very little attention to technical excellence. They want things that move the dial. What truly moves the dial are the underlying tech.

I vibe-coded my own PDF compression library to replace a commercial library I paid $20K for. After weeks of testing, I ended up rewriting most of it and honestly way better than the so-called "enterprise-grade" thing I bought. Claude code didn't magically build it for me. I still had to read the PDF spec, trace edge cases, and understand every line. The model just gave me a baseline fast enough to iterate. And no, this wasn't a one-shot "prompt -> shipped" fantasy.

@EXM7777 what's to stop them from taking this approach doing it themselves? if the barrier is low then wouldn't the 37k but competed away and get dilutted real quick? What next?

just hired 3 interns to upload AI slop on 150 tiktok accounts... we're sitting at $37k MRR so far

@boshen_c @charliermarsh @astral_sh He has a wife

Be @charliermarsh CEO of @astral_sh Revolutionizes python tooling - ruff, uv, ty Has a toddler 9.5k contributions in 2025 Loved by everyone How do you do it man?

@freemanjiangg lol. you will go far

i am procrastinating my exams by visualizing citibike data. blue = ebike grey = classic green = ride started red = ride ended

@ChShersh is process less events possible?

I work on a system that processes 1B+/day events. Increasing latency even by 1ms per event degrades overall processing time by 277+ hours (11+ days). The scale is insane.

@IndraVahan Which language has the highest density? i suspect it might be Chinese as the script is pictorial.

chinese tokenizes more efficiently than english. even gpt o1-pro used to switch to chinese midway on complex queries. there is more information density with specificity in chinese. let’s say in english, the word ‘cell’ could mean cell membrane or battery, but in chinese there are specific words for it: 细胞" (xìbāo) means "cell" in biology, and it is different from "电池" (diànchí), which means "battery" (in a physics/energy context). fewer tokens and clearer semantics result in cheaper internal reasoning.

@ChShersh Skip Lists

Okay nerds, your time to shine. What’s your favourite data structure? I’ll start. Mine is Treap with Implicit Keys.

@jeremyphoward Love it. The only tool i donated money towards

14MB ram / 9MB disk (MB, *not* GB!) to index all of Windows 10, in 1 second. Index stays updated automatically. It's amazing what's possible with a modern computer if you actually care about engineering. voidtools.com

@jeremyphoward @Yuchenj_UW Aka on the shoulder of a giant. And giant need not a certificate, for you can how tall a giant if only you just stand close enough.

@Yuchenj_UW GPT was actually based on ULMFiT, written by a person with no PhD (me).

This is just ridiculously wrong. PyTorch is software, so it only needs linear thinking and is not seminal work? Let me tell you, my PhD was in AI systems, and I would be so thrilled if I had created PyTorch. It was published at NeurIPS (a top AI conference), has 64K citations, and has a transformative impact on the entire AI field. Most of computer science is engineering and building software. Saying we cannot call that research or seminal work, is the real linear thinking.

@brodriguesco I know someone in similar situation. After the release he got divorced, sold his house and had estranged relationships with his kids. /joke

between the releases of gta 5 and 6 I got married, bought a house and had 3 kids