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Amazon INTENSIONALLY leaks layoffs (Blind)

• nthin2lose (SentinelOne): Amazon knows how to keep everything toxic.
• Jefry (Salesforce): They also stack rank by spelling performance.

Mass Layoffs Have Consequences (Blind)

• RowdySWE (Block): Elon basically gave CEOs permission to start doing this when he ripped apart twitter and it was still functioning.
• crazzak (Microsoft): Employees don’t feel invested in companies that throw them away like trash the second it saves them a buck; this leads to less innovation and decline in quality.

Congratulations Google (Blind)

• HypeOS (Apple): Pretty sure this revenue is a bit of a faff. GCP is charging Gemini and recording this as revenue for serving Google Gemini responses?
• Zuckerbrug (Samsung): Listen to the earnings call. Not only cloud but they are owning AI. OpenAI better get that IPO done soon before Google eats their lunch…

Meta contractor fires 1,100 AI trainers after they revealed Ray-Ban glasses recorded private and intimate footage (r/technology)

• CanvasFanatic: Note that some of these contractors came forward to blow the whistle on what they were being asked to do (despite how little they were being paid) and were punished for it.
• bigkoi: The glasses with camera thing is creeping. It’s the modern equivalent of the guy wearing mirrors on his shoes.

Palantir Workers Are Finally Noticing The Skulls On Their Caps (r/technology)

• BeMancini: “Okay, how about we plant a story in the media that you all feel really really bad about it? Will that get you to stay until your stock is vested? Will that get you to stay until we unceremoniously lay you off?”
• zhaoz: “It is difficult to get a man to understand something when his salary depends upon his not understanding it”. Upton Sinclair.

Sam Altman No Longer Believes In Universal Basic Income (r/singularity)

• Lankonk: I mean, he’s not wrong. UBI would be insufficient if 20 people owned everything. A broader, collective ownership of the world’s enterprises would go a long way towards preventing a catastrophic concentration of power.
• revengeofwalrus: He’s a narcissistic sociopath. Of course he’s changing his tune.

Why does it feel like tech has no middle ground at all? (r/cscareerquestions)

• Bulbasaur2015: interview process is harder than the job
• Loupreme: You’re in a reddit bubble, people are getting paid in all ranges. However I will say 80-110k for a senior would be robbery (in the US at least) so not sure what middle ground you’re thinking of, for non seniors sure those exist too

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What happened

Cloudflare’s official engineering blog published Introducing Dynamic Workflows: durable execution that follows the tenant, a post about making durable workflow execution work when the workflow code is not known at deploy time.

The problem is a real platform boundary. Cloudflare Workflows already gives developers a durable execution engine: a workflow can survive process eviction, sleep for long periods, wait for external events, retry individual steps, and resume after failures. That model works cleanly when the workflow class is part of the platform owner’s deployment. It breaks down for modern multi-tenant products where every customer, repository, agent, or session may bring different code.

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What happened

TBPN surfaced this May 1, 2026 post, and the original post is The Tech Earnings Quad Kill Recap.

The piece treats the latest Google, Microsoft, Amazon, and Meta earnings as a stress test for the AI infrastructure narrative. Its core argument is that the market is no longer accepting “big AI capex” as a single story. The companies are all spending aggressively, but investors are beginning to distinguish between spending tied to visible demand and spending that still looks more like a strategic option.

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My Apple Interview NIGHTMARE (Blind)

• aysi (Google): The fact that you literally just got caught cheating and are considering doing it again blows my mind
• redin (Apple): I literally catch at least one person per month using interview coder. It’s hotkeys are blatantly detectable. Blows my mind how stupid people are not only to cheat but to pay almost a grand for something a college student vibe coded

Do NOT work for Meta (Blind)

• AI on weed (Google): Sounds like skill issue. Lots of high performing ICs I know enjoy working at Meta.
• VlOzD89% (Meta): It’s a bit exaggerated. But I guess 80-90% true, but a lot of it is true elsewhere too.

FYI Jassy’s Amazon layoff email leak is BS (Blind)

• pyplpglu (PayPal): I just hope i find some better career like farming or trading which is profitable and leave this shit.
• pfnqft (Amazon): If he hit reply all, it means those people were part of the thread already.

Chinese Courts Rule Companies Cannot Fire Workers Simply to Replace Them With AI (r/technology)

• dylboii: We’ll never see this in the US unfortunately
• BayouBait: America is so far behind. Good on China.

The more young people use AI, the more they hate it (r/technology)

• Ruddertail: Isn’t this true for everyone? The first time you use it it’s like “wow this technology is kinda cool” but then as you keep using it, you flaws start to show. You start getting extremely irritated at all the hallucinations and errors and often even the way it phrases things. Especially if you ask it about something you’re an expert at.
• ocw5000: AI is great for making untalented people feel talented, so you can understand why executives love it

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What happened

Anthropic’s official research blog published Evaluating Claude’s bioinformatics research capabilities with BioMysteryBench, a post about building a benchmark for agentic scientific work that is harder to game than ordinary question answering and closer to the messy workflows used in computational biology.

The motivating problem is that many AI science benchmarks still resemble exams. They test knowledge, reasoning, or a bounded simulation, but real bioinformatics work involves reading papers, choosing tools, downloading reference data, writing analysis code, dealing with noisy measurements, and deciding which evidence is strong enough to trust. Anthropic argues that this makes scientific evaluation unusually awkward: there are often many defensible methods, researcher choices can change conclusions, and some of the most valuable questions are precisely the ones humans have not solved yet.

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What happened

The Pragmatic Engineer surfaced this April 30, 2026 post, and the original is The Pulse: token spend breaks budgets - what next?.

Gergely Orosz reports that AI coding agents have moved from a discretionary experiment to a fast-growing operating expense. After speaking with engineers and leaders at 15 companies, he found a common pattern: token spend has surged over the past few months, often far faster than budgets, finance processes, or internal measurement systems expected.

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OpenAI is going DOWN (Blind)

• daris (NVIDIA): ChatGPT is still the best consumer app. Codex > Claude.. it’s stupid to make these claims every month
• Zuckerbrug (Samsung): They had the first mover advantage, just like Netscape, Lycos, AskJeeves, and Pets.com. It was fun while it lasted!

Everyone is vibecoding everything (Blind)

• thatonem3 (Autodesk): Yes, leadership are asking non tech folks to take work all the way to POC then hand over to engineering. Seems engineering may turn into architectural cleanup and review services org vs solving problems if we continue down this path.
• fdgkud (ByteDance): Put them on on-call, they will stop the next day

WTF. Zuck in earnings call: AI will not result in people losing jobs (Blind)

• cUGg82 (Oracle): The layoffs are mainly due to justify the capex and to impress the investors that they are being efficient. Layoff will be a norm until the capex keeps going high.
• gkdnwodrnn (ex-Amazon): They should ask point blank how come you’re contradicting your own actions when you’ve been laying off thousands under the name of AI

A founder says Cursor’s AI agent deleted his startup’s database, causing chaos for customers (r/technology)

• TripsOverWords: Yah, but *who* granted the hallucination machine the requisite privileges to take such actions?
• smiley_x: He embraced the idea of move fast and break things a little bit too much

My company has stopped product work to become AI-ready and I think a restructuring is coming (r/developersIndia)

• feelin-lonely-1254: What happens when the pricing isnt as sustainable as now and is comparitively much more? Ig faangs etc might not care but im assuming an avg tech company might not be willing to spend like 2k-3k dollars in AI codegen tools per dev per month? And you dont mind turning your codebase into a clusterfuck? what happens when you have to debug something non obvious?
• Schroeter333: My previous org did something similar and ended up firing most of the dev team and data science team. In addition they spent millions with a vendor to make us AI ready. One year down the line, they have next to nothing to show and most of the clients have dropped out due to issues arising in the product. Most recently I heard that the CEO has been fired along with most of the top brass by the PE firm which owns the company.

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What happened

Google DeepMind’s official research blog published Decoupled DiLoCo: A new frontier for resilient, distributed AI training, a post about training large language models across distant data centers without requiring every accelerator to move in tight lockstep.

The core problem is that frontier model training still depends heavily on synchronous, single-program multiple-data style execution. That works well when a large block of identical accelerators can synchronize quickly and reliably. It becomes more brittle as training runs span more chips, more sites, and more heterogeneous hardware. A slowdown, network delay, or hardware failure in one part of the fleet can waste capacity elsewhere because global progress waits for the slowest participant.

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What happened

OpenAI’s official research blog published Where the goblins came from, a postmortem on how a narrow stylistic quirk in model behavior was amplified by reinforcement learning, transferred beyond its original product setting, and eventually required changes to rewards, data filtering, and behavioral auditing tools.

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What happened

Techmeme surfaced this April 30, 2026 story in its Anthropic Mythos cluster, and the direct source used here is Bloomberg’s Anthropic Plan to Expand Mythos Access Is Opposed by White House.

The White House is opposing Anthropic’s plan to broaden access to Claude Mythos Preview, the company’s restricted frontier model for advanced cybersecurity work. Anthropic had proposed granting Mythos access to roughly 70 more companies and organizations, expanding a program that already includes launch partners and dozens of critical software maintainers under Project Glasswing. Administration officials objected on security grounds, and the Techmeme cluster also highlighted Bloomberg’s separate report that the NSA has been testing Mythos to find vulnerabilities in Microsoft products and other widely used software.