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Anthropic is going to acquire Workday! (Blind)

• xelent (InMobi): Workday level ui in claude? 😇🤣

I HATE being oncall as a software engineer - advice? (Blind)

• metaduck (Meta): Fix your shit so it doesn’t break during the night

HOT TAKE: Firing is just as hard as getting fired (Blind)

• vesbr& (Amazon): What a narcissist shares with their therapist:

Ask.com shuts down after nearly 30 years, marking the end of Ask Jeeves (r/technology)

• enry: TIL: ask was still around
• taylorjosephrummel: End of an era.

Developer re-enables 3D printer features that Bambu Lab disabled, firm promptly threatens legal action — OrcaSlicer-BambuLab project now shuttered (r/technology)

• Cheetawolf: Bambu is definitely planning to enshittify.
• EverNeko200: Bambu continues to prove they hate their community.

Police are using surveillance tech to stalk love interests. Dystopia, here we come | The tech company Flock has 80,000 cameras across the US – and a report finds some officers are taking advantage (r/technology)

• explicitlarynx: Of course they do, they are power trippers that never face consequences for their actions.
• FanDry5374: “Love” interests? Yeah, that’s what it is.

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What happened

Microsoft Research’s official research blog published Red-teaming a network of agents: Understanding what breaks when AI agents interact at scale, a post arguing that many agent risks only become visible when agents interact with each other as a network.

The core claim is that an agent can look acceptable in isolation and still behave badly once it becomes part of a shared environment. Microsoft tested this on a live internal platform with more than 100 always-on agents, each linked to a human principal. The agents used different models, including GPT-4o, GPT-4.1, and GPT-5-class variants, and interacted through forums, direct messages, scheduling tools, currency exchange, a marketplace, and a reputation system.

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What happened

Techmeme surfaced this May 3, 2026 item in its Techmeme cluster, and the direct source used here is NIST’s May 1, 2026 CAISI Evaluation of DeepSeek V4 Pro.

The Center for AI Standards and Innovation evaluated DeepSeek V4 Pro, DeepSeek’s latest open-weight model, across cyber, software engineering, natural science, abstract reasoning, and math tasks. CAISI’s headline finding is deliberately two-sided: DeepSeek V4 Pro is the most capable Chinese model the group has evaluated so far, but it still appears to trail the leading US frontier models by about eight months in aggregate capability.

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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.