Hacker News, Distilled

Medical and Physiological Concerns

• Traditional 6–8 week acclimatization is framed as essential for red blood cell adaptation, vascular changes, and respiratory conditioning that cannot be safely rushed.
• Critics argue xenon-induced EPO boosts create “thicker blood” atop already increased altitude viscosity, raising risks of clots, stroke, and heart attack.
• Rapid ascent without acclimatization is linked to higher risk of AMS, HAPE, and HACE, especially above 8,000m.
• Individual responses to xenon/EPO are said to be unpredictable, making safe dosing at extreme altitude unclear.
• Some ask whether there is actual evidence of increased mortality from xenon use versus speculation; the thread does not provide hard data.

Performance Enhancement, Legality, and Alternatives

• Xenon is noted as banned by WADA; using it for running a marathon, for instance, would be considered doping.
• Compared with altitude tents and hypoxic training masks, xenon is seen as a more convenient but potentially riskier shortcut.
• Hypoxic tents are described as noisy, hot, uncomfortable, requiring 12+ hours/day; their benefits for non-elite athletes are questioned.
• Hypoxic masks for casual or detrained athletes are warned against as counterproductive.

Cost, Commercialization, and “Pay-to-Win”

• Xenon sessions are reported at ~$5,000 for 30 minutes, with full xenon-assisted Everest packages in the six-figure range.
• Several comments highlight xenon, high-end guiding, and fixed-rope “expedition style” as symbols of Everest becoming a rich-person, pay-to-win objective.
• Others reply that even guided, oxygen-assisted Everest remains extremely demanding and beyond what most people can do.

Ethics, Meaning, and Sherpa Risk

• Strong criticism of clients who use xenon, heavy Sherpa support, and minimal skills while claiming “I climbed Everest”; likened to being pulled through a marathon in a rickshaw.
• Concern that xenon-shortened climbs increase danger for both clients and Sherpas, with limited ability to retreat during acclimatization.
• Counterpoint: people knowingly accept risk; Sherpas and local economies depend on high-paying expeditions.

Skepticism About the “Trend”

• Some suspect the xenon-Everest idea is mostly marketing: a Financial Times feature and PDFs are hosted by the very company selling $5k xenon sessions.
• Unclear whether this is a real, growing practice or a publicity-driven one-off.

Xenon’s Other Effects

• Xenon is noted as a potent but expensive anesthetic and psychoactive gas, potentially acting via lipid solubility and possibly microtubule-related mechanisms, though details remain scientifically unsettled.

Static site generators & modern tooling

• Many argue the described approach effectively reimplements a static site generator (SSG).
• Popular SSGs mentioned: Astro, Hugo, Jekyll, Pelican, Eleventy, Nikola, Hakyll, Lume, Zola, Hakyll, and smaller tools like Teeny, Query, bashblog.
• Astro is repeatedly praised: zero-JS-by-default, component model, markdown integration, ability to mix React/Svelte, and simple templates.
• Some prefer rolling minimal custom pipelines (pandoc + Makefile/shell, Node+ESBuild+SASS, Python + Jinja2, simple PHP, Go templates) to avoid SSG complexity and theme systems.

Templating, includes, and reuse

• A central pain point: shared headers/footers and repeated HTML.
• Solutions discussed:
  • Server Side Includes (SSI) in nginx/apache and similar features in Caddy.
  • PHP include, tiny PHP apps, or template engines (Twig, Go templates, Jinja2, Mustache/“mo”, Slab, etc.).
  • Static build scripts concatenating header/body/footer.
  • <object> as a quasi-include, with debate over extra HTTP requests vs simplicity.
  • Web Components or light JS includes for those okay with JavaScript.
• Concerns: some platforms (e.g., Netlify-like static hosting) don’t support SSI; some people want zero JS and no backend.

Workflows, tooling, and ergonomics

• Common stacks: write in Markdown (or SGML), convert with pandoc or SSG to HTML, sometimes add syntax highlighting at build time to avoid runtime JS.
• Live reload options: livereloadx, live-server, custom watchers (entr, watchexec), IDE-integrated reload.
• Several report that manual copy-paste and search/replace across a small site is manageable and even preferable to framework churn.

Performance, complexity, and philosophy

• Many value minimal HTML/CSS for speed, longevity, and fewer dependencies; some host on GitHub Pages or even home servers.
• Skeptics of JS-heavy stacks point to bloat, breakage when JS is disabled, and maintenance pain (npm churn, React/Next complexity).
• Others counter that JS frameworks can offer better organization, richer features, and that JS size is often blamed more than images/CSS.
• Accessibility and semantics debates surface (native HTML vs ARIA/JS-driven UIs), with no clear consensus.

Odds and ends

• RSS feeds are a common missing piece; some generate them via scripts or external tools.
• Several note that simple static blogs teach where modern framework conveniences come from, and that “boring” tech can be a feature.

Feature description & docs

• New “GPT-4o with scheduled tasks (jawbone)” model adds automation that runs prompts on a schedule.
• Tasks have three core parameters: title, prompt, and schedule, with schedules defined using iCalendar VEVENT syntax (e.g., RRULE, optional DTSTART).
• Official help and changelog pages exist, but many find them sparse, confusing, or incomplete; some see “Invalid DateTime” in the changelog.

User experience & discoverability

• Several users report the UI gives almost no hints about how to use scheduled tasks.
• People discover functionality only after clicking avatar → “Tasks” or experimenting with phrases like “remind me…”.
• Mobile and desktop apps behave inconsistently; some capabilities (e.g., editing tasks, Canvas) appear only on web.

Functionality & behavior

• Tasks can send notifications via email and/or push (user-configurable).
• They can run web searches as part of the scheduled job, though enabling “Search” during task creation can confuse the model.
• Some see this as “scheduled tasks for the AI” (periodic research, summaries) rather than just user reminders.

Reliability & technical issues

• Reports of incorrect time zones (defaulting to UTC), time deltas added to requested times, missed executions, and absent push notifications.
• Some users receive “task couldn’t be completed” emails or generic errors.
• Rollout appears flaky; the model sometimes doesn’t show up or errors in the UI (e.g., source map errors).

Use cases & value debate

• Supporters see this as an early step toward agents, workflow automation, and “AI cron” for non-developers.
• Critics dismiss it as a glorified reminder/todo app, especially given existing tools with better calendars and sync.
• Some argue free or local models and simple cron + API are sufficient; others value having this inside ChatGPT they already pay for.

Comparisons & strategic context

• Comparisons made to Siri, Google’s ecosystem (Gmail/Calendar/Maps), and other LLM providers; mixed confidence in each company’s execution.
• Some view this as a tech demo to acclimate “normal users” to agents and long-term AI memory.
• Skeptics question OpenAI’s product quality, QA, and long-term moat; others see steady capability improvements and inevitability of agent-based workflows.

Ethical / political concerns

• At least one commenter refuses to use OpenAI for political/leadership reasons, noting similar issues likely exist across major tech platforms.

High-speed driving & speed limits

• Several comments reminisce about pre–speed-limit driving in Montana and compare it to unrestricted stretches of German Autobahn. One commenter cites data: ~70% of German Autobahn (by length) has no fixed speed limit, with another ~6% conditionally unlimited.
• Debate over “reasonable and prudent” speed limits: some see them as ideal; others argue this is inherently subjective and can be unsafe.
• Strong disagreement over whether 110 mph can ever be safe on public highways.
• Discussion of speed variance vs absolute speed: some argue large speed differences between vehicles are more dangerous than higher but uniform speeds.

Physics, stopping distance, and crash severity

• Multiple comments discuss kinetic energy scaling with speed, clarifying it’s proportional to the square of velocity, not exponential.
• Example comparisons: small increases in speed (70→80 mph) significantly increase stopping distance and impact energy, though some argue that beyond certain highway speeds, outcomes are often fatal either way.
• Others emphasize predictability and limited human perception—very fast vehicles “appear” suddenly, making lane changes and gap judgments harder.

“Maintain Top Safe Speed” radiation sign

• Summary of article: sign instructs drivers to maintain the highest safe speed to minimize time in a contaminated zone.
• Some readers note the sign is in the current US traffic manual (MUTCD) under a different code (EM2-3), though no one confirms real-world deployments.
• Confusion over whether this implies near-instant death vs. elevated long-term cancer risk; several clarify that in many fallout scenarios it’s about dose reduction, not immediate lethality.

Radiation exposure, dust, and vehicles

• Multiple comments stress that inhaled/ingested radioactive dust (alpha/beta emitters) is often more dangerous than external gamma radiation.
• Arguments for “move through quickly”: less time for dust to deposit on skin, clothes, or to be inhaled; but one commenter questions whether higher speed might stir up more dust.
• Car bodies block much alpha/beta; motorcycles may still be allowed in some exclusion transits because brief passage likely yields minimal contamination if riders don’t stop.

Installation, workers, and maintenance in hot zones

• Several question who would install and maintain signs and roads in a radiation zone.
• Replies suggest:
  • Installing signs at zone periphery.
  • Using protective gear and decontamination.
  • Accepting higher risk for military or specialized crews, whose safety standards differ from civilians.
  • Noting that some hazardous areas (e.g., around Chernobyl or highly contaminated Russian sites) have been worked by both volunteers and coerced labor.

Real-world analogues and special routes

• Fukushima: referenced government map shows roads through exclusion zones where travel is allowed but stopping or exiting the vehicle is prohibited; standard speed limits apply and no special “top safe speed” signs are used.
• Mentions of signage near US chemical depots, older “FALLOUT SHELTER” signs, and contamination around places like Lake Karachay as conceptual parallels.

Broader nuclear war and MAD discussion

• Substantial side-thread on Mutually Assured Destruction, nationalism, and geopolitical risk:
  • Some argue rising nationalism and weakening alliances increase nuclear war risk; others say MAD still stabilizes great-power conflict.
  • Debate over proliferation: scenarios involving China–Taiwan conflict, Japan and South Korea potentially going nuclear, North Korea’s missile capabilities, and wider Middle East nuclearization.
  • Disagreement over how much WWI/WWII were driven by nationalism vs alliance structures and postwar settlements.
  • One view claims Russia’s current nuclear forces may not credibly support true MAD due to apparent military decay; others caution that “almost certainly” is not a safe assumption.

Media, clickbait, and information quality

• Mixed views on the article site: some find it entertaining; others complain about heavy ads and autoplay video making it unusable on mobile.
• One commenter complains broadly about ad blockers being curtailed and calls for antitrust action.
• A separate long digression critiques perceived bias and framing in a national broadcaster’s coverage of Russian leadership, emphasizing careful transcript comparison and journalistic standards.

Platform power and sweeping deplatforming

• Many see the case as evidence that large platforms (social, banking, payment, commerce) can “erase” a person or business with no meaningful appeal process.
• Concern: as politics radicalize, similar mechanisms could be used against a wide range of views (e.g., on health, LGBT issues, political criticism).
• Some argue basic access to banking, payments, and online commerce should be near-inalienable, restricted only via clear legal processes.

Free association vs. quasi-utilities

• One camp stresses the right of private entities to choose their customers and associates, rooted in freedom of association and long-standing legal interpretation.
• Opponents argue this breaks down when firms reach monopoly or infrastructure scale (e.g., Visa, big social networks, major platforms). At that point, they should be regulated like utilities or common carriers, with nondiscriminatory obligations.
• Historical analogies used: civil-rights-era discrimination laws, public accommodations, utilities, monopolies, and early corporate charters.

Free speech, incitement, and legality

• Some say the cards and related posts amount to incitement or terroristic threats; others cite the “imminent lawless action” standard (Brandenburg test) and argue the speech is likely legally protected.
• Several note that the First Amendment constrains governments, not private platforms, which routinely remove content that would be protected from state censorship.

Violence symbolism and ethical lines

• Key triggering details: CEOs portrayed on “most wanted” cards, human-shaped shooting targets on the back, created shortly after a CEO was murdered, plus a statement that “the CEO must die.”
• Many interpret this as an explicit or near-explicit call to murder; some compare it to anti-abortion “wanted” posters that courts deemed “true threats.”
• Others frame it as political art or satire analogous to Iraqi “most wanted” cards, FBI lists, or general anti-capitalist rhetoric, and see the bans as elites protecting themselves.
• There is debate over what counts as “violence” and whether system-level harms (e.g., health insurance denials) justify or contextualize violent rhetoric; several commenters firmly reject equating those with murder.

Broader worries about corporate control and online life

• Some argue this episode shows why people should reduce reliance on major platforms and even “get off the internet,” but others note pervasive corporate and state surveillance offline as well.
• There is criticism that platforms tolerate or algorithmically amplify other forms of harmful or violent content (e.g., against minorities, in foreign conflicts) while moving quickly to protect powerful figures like CEOs.

Purpose and Scope of the “Home Loss File System”

• Spreadsheet-based tool created by wildfire survivors to help people organize recovery after catastrophic home loss.
• Aims to guide users through documenting losses, managing insurance claims, tracking expenses, and collecting key information.
• Physical file-box version has been distributed to thousands of fire survivors over ~15 years; digital version is a new extension.
• Volunteers and contributors are welcomed; effort is partially crowdfunded.

Access and Format (Google Sheets Issues)

• Initial link opened in /htmlview mode, hiding the “File → Make a copy” option; users discovered replacing /htmlview with /edit (and optionally ?usp=sharing) fixes this.
• Under heavy traffic, Google throttled functionality and showed a read-only HTML mode with limited navigation.
• Some appreciate the spreadsheet format for ease of copying, editing, and customization; others criticize it as clunky and hard to use compared to a dedicated website or app.

Usefulness and Practical Advice

• Many find the tool valuable not only for fire survivors but for all homeowners.
• Suggestions include:
  • Doing a slow, detailed video walkthrough of every room, cabinet, and storage area for inventory and insurance purposes.
  • Storing copies in the cloud and possibly keeping printed copies in a fireproof safe or “go bag.”
  • Adding resources on scams and fraud that often follow disasters, with at least one external guide already added to an “Additional Resources” tab.

Insurance Experiences and Debate

• Some commenters praise the insurance-related guidance, noting specific protections in California law (e.g., no land-value deduction on certain rebuild/replacement payouts).
• Others share very negative experiences: numerous exclusions, only covering “total loss,” or extremely narrow conditions.
• Debate over whether insurance is “false economy” vs. necessary risk transfer, with points about:
  • Self-insurance only being viable for those who can absorb large losses.
  • The time and hassle costs of finding, monitoring, and claiming insurance.
  • Collective bargaining and logistical help insurers can provide during crises.

Broader Web and Tooling Discussion

• Long subthread on why important resources increasingly live in Google Docs/Sheets, WhatsApp, Telegram, etc., instead of traditional websites.
• Arguments:
  • Pro: These tools are fast, free, collaborative, familiar to non-technical users, and require no hosting knowledge.
  • Con: Content becomes hard to discover, not easily indexed, and dependent on proprietary platforms.
• Ideas floated: app-ifying the system, wiki-style or Fediverse-style collaborative tools, and AI-assisted website generation, though practical hosting and UX barriers remain.

Other Perspectives

• Some humor around the title sounding like a lossy computer filesystem.
• One critique questions why resources mobilize quickly for homeowners after fires but not for long-term homeless populations.
• International readers express interest in localized versions (e.g., Australian equivalent).

Feasibility and Timeline

• Many see the schedule (from site identification in early 2025 to operational data centers by 2027) as highly optimistic or “impossible,” especially for power infrastructure and environmental reviews.
• Others argue it’s tractable on federal land with streamlined permitting, citing that physical data centers are simpler than factories and can be built quickly if bureaucracy is minimized.
• Key bottlenecks highlighted: grid upgrades, power plant construction, equipment lead times (especially GPUs), and potential NEPA challenges and lawsuits.

Energy and Environmental Concerns

• Strong tension over likely power sources: some expect large natural gas plants; others note the EO heavily emphasizes clean energy, geothermal, nuclear, and grid modernization.
• Off-grid solar plus batteries is proposed as an alternative to long interconnection queues and new gas pipelines.
• Climate anxiety surfaces (crossing 1.5°C, “learn to grow food” sentiment), but some view the EO primarily as a serious energy-policy document with real climate benefits.

Industrial Policy, Subsidies, and Winners

• Multiple comments frame this as corporate welfare: funneling tax dollars to hyperscalers and chipmakers (especially GPU vendors) and possibly to the clean energy industry under an “AI” label.
• Concerns about government “picking winners,” creating a subsidy race with other countries, and building infrastructure that may not match future AI needs or could become a pork project if an AI winter hits.
• Counterpoint: doing nothing risks losing technological leadership, IP control, talent attraction, and military advantages.

Security, Surveillance, and Military Use

• Fears that the infrastructure will support mass surveillance, “police state” functions, and analysis of bulk wiretapping data.
• Others emphasize military drivers: AI-assisted targeting, autonomous drones, and broader battlefield decision-making are already emerging; no major power wants to fall behind.

Open Models and National Security Controls

• Language about securing “AI model weights” and commercialization plans prompts worries that powerful open models may be restricted.
• Some argue advanced models will inevitably be treated as national security assets, pointing to existing export controls on geospatial AI tools, while others dismiss existential-risk rhetoric as hype to attract investment.

Political Timing and Durability

• Releasing the EO at the end of an administration is seen as a way to set a default framework and claim future credit, even though a new president can rescind or rewrite it.
• Debate over how much the entrenched bureaucracy, versus changing political leadership, will shape whether any of this actually happens.

Performance-based 5% cuts & stack ranking

• Meta plans to cut about 5% of staff, explicitly tied to “low performance,” with at least one memo suggesting the bottom 5% (by ratings) will be let go immediately after reviews, without a PIP.
• Some comments note this roughly matches long‑standing internal expectations that 5–10% “non‑regrettable attrition” per year is normal in big engineering orgs.
• Others argue a fixed percentage is inherently arbitrary, Welch-style stack ranking that eventually forces out adequate employees and creates a “Hunger Games” culture.

Debate over performance reviews and “low performers”

• One camp says performance management is necessary to remove true underperformers and maintain morale for high performers.
• The other camp claims reviews are mostly subjective, post‑hoc justification for decisions, strongly dependent on manager relationships, politics, and project context.
• Concerns include: opportunistic labeling of people as low performers to meet quotas, punishing those stuck on doomed projects or under weak managers, and little accountability for bad managers.

Backfilling, cost, and talent churn

• Meta says many roles will be backfilled, implying churn rather than net cuts.
• Some see this as replacing expensive or mid‑level staff with cheaper or H1B hires; others frame it as raising the talent bar and average output per head.
• A minority argues FAANG-scale companies could cut far more “fat” without hurting metrics, but acknowledge that cuts often hit “muscle” instead.

AI, automation, and jobs

• Several posters tie the move to Meta’s AI investments. If AI tools can do more mid‑skill work, headcount reductions (or at least slower growth) are seen as consistent with the strategy.
• Others are skeptical current AI can truly replace mid-level engineers, calling the AI justification shareholder-friendly spin.

Culture, fear, and labor relations

• Many interpret the announcement as a disciplinary signal: put everyone on notice, discourage internal dissent, and drive “voluntary” attrition.
• Some say this will intensify anxiety and internal competition; a few respond that nobody should assume they’ll be safe in such layoff waves.
• There is discussion of unions as a possible response, although opinions on unions are mixed.

Politics, DEI, and “masculine energy” pivot

• Commenters connect the cuts to a broader recent shift: ending DEI programs, right‑leaning policy hires, Texas moves, public talk about “masculine energy,” and perceived alignment with the incoming U.S. administration.
• Interpretations split between:
  • Pragmatic “peacocking” to win favor and avoid regulation or antitrust pressure.
  • An ideological drift toward Trump/Musk-style culture war politics.
  • Cynical view that Meta simply mirrors whoever is in power and uses culture-war moves as cover for business goals.

Economy and “recession”

• Some see the cuts as evidence of a recession or “targeted recession” for tech workers.
• Others counter with current GDP and jobs data (as cited in the thread) showing a strong aggregate economy; they frame this as tech labor normalization after pandemic over‑hiring, not macro collapse.

Scope of “Made in America”

• Wafers/dies are fabricated in Arizona but are still shipped to Taiwan for advanced packaging (e.g., CoWoS) until a local Amkor facility comes online (targeted ~2027, with delays mentioned).
• Several commenters argue this only partially justifies “made in America”; others see it as a necessary first step in rebuilding a domestic supply chain.
• There is debate over whether this meets U.S. “Made in America” legal standards; some say it does not.

Packaging and Supply Chain Logistics

• Many non‑experts confused “packaging” with putting chips in retail boxes; others clarify it means dicing wafers, attaching dies to substrates/interposers, bonding to HBM, etc.
• Shipping chips/wafer output back to Taiwan is viewed as financially trivial because chips are extremely high value per gram; air or sea freight costs are negligible per unit.
• Some see the overseas packaging step as a strategic vulnerability in a conflict, even if cheap financially.

Process Nodes and Tech Transfer

• Arizona fab is producing at 4 nm initially; discussion notes Taiwan’s export rules on advanced processes (“n‑2” rule) and recent approval to transfer 2 nm tech to the U.S. fab in future.
• Skepticism that top‑end Apple CPUs (current iPhone Pro class on 3 nm) will be U.S.‑fabbed soon; more likely older or mid‑tier devices first.

Labor, Skills, and Working Conditions

• Over half the fab workforce reportedly came from Taiwan initially, highlighting a U.S. skills/experience gap in advanced fabs.
• Disagreement on whether this is a true “STEM gap” or a “salary/conditions gap”: some say Americans won’t take relatively low‑paid, long‑hours fab work when software/finance pay more; others point to U.S. education issues.
• Taiwan fab work is described as well‑paid locally but often 996‑style hours; most commenters see such schedules as unacceptable in the U.S.

Industrial Policy and Economics

• Thread links the fab to the CHIPS Act and broader U.S. industrial policy; some say the fab deal enabled the legislation, others say TSMC moved for its own strategic reasons (e.g., export bans, customer pressure).
• Packaging is described as lower‑margin but capital‑intensive, which tends to cluster in Asia where ecosystems already exist.
• Several argue the U.S. can rebuild manufacturing; others stress higher labor standards and costs will require subsidies, tariffs, or automation.

Geopolitics and Security

• Many frame the fab as insurance against a potential China–Taiwan conflict; predictions of invasion risk vary, but concern is widespread.
• Onshoring advanced fabs and packaging is seen as critical for national security and defense supply chains, even if economically inefficient in the short term.

Scope of Data Collection

• Discussion centers on Allstate/Arity using data from third‑party apps (e.g., GasBuddy) and automakers (Toyota, Mazda, etc.) to infer driving behavior.
• Some note that GasBuddy’s detailed tracking was tied to an opt‑in “Trips” feature, not default use.
• Car telematics (OnStar-style modules, OEM “connected services”) are seen as a bigger, harder‑to-avoid source of data than apps; disabling modules may be technically possible in some older cars.

Privacy, Consent, and Surveillance

• Many see this as covert mass surveillance: unclear or buried consent, data repurposed for insurance and sold to brokers.
• Strong sentiment that location and behavior tracking should be illegal unless clearly opt‑in, with meaningful alternatives.
• Some worry about broader patterns: apps and cars building detailed profiles, including in‑car cameras and attention monitoring; Mozilla’s survey of car privacy is cited as alarming.
• A minority argue that more monitoring is acceptable or desirable if it deters dangerous driving, especially given rising pedestrian deaths; others counter that this normalizes pervasive surveillance and should be replaced by conventional traffic enforcement.

Insurance Economics and Fairness

• Debate on whether “good drivers subsidize bad drivers.”
  • One side: yes, because high‑risk drivers can’t practically be charged their full actuarial cost, so low‑risk drivers are priced up.
  • Other side: bad drivers already pay higher premiums; insurance is inherently a shared‑risk pool.
• Extensive argument over whether property/casualty insurers lose money on underwriting and profit only via investing “float.”
  • One view: combined ratios often exceed 100% over long periods; underwriting is effectively a loss leader.
  • Counterview: core operations must be and often are profitable; recent climate‑related losses are exceptional, prompting exits and price hikes.
• Discussion on telematics scoring:
  • Concerns that metrics like “hard braking” and night driving lack context and can punish safe drivers or those with unusual schedules.
  • Fear that shared data will mostly be used to raise rates or deny coverage, with limited and temporary discounts.

Policy and Structural Proposals

• Suggestions include: government‑run non‑profit insurance where coverage is mandatory, or a single risk pool funded via fuel/charging taxes.
• Others note public or mutual insurance already exists in some regions but is not necessarily better.

Practical Workarounds and Unclear Points

• Some recommend:
  • Using web versions of fuel‑price tools instead of apps.
  • Avoiding OEM connected services or apps (e.g., for remote start) that require broad data‑sharing consent.
• Technical questions remain:
  • How reliably insurers can distinguish drivers vs. passengers from phone data.
  • How exactly third‑party app identifiers are matched to specific insurance customers.

What’s being claimed as the vulnerability

• If a startup’s Google Workspace domain lapses and a new owner re-registers it, the new owner can create matching emails and use “Sign in with Google” to access third‑party SaaS accounts previously linked to that domain.
• Impact examples discussed: Slack, HR/payroll systems, GitHub accounts, interview tools, even financial/benefits portals that allowed corporate SSO.

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Is this really a Google/OAuth flaw?

• One camp: this is fundamentally a domain/email‑based identity problem; any auth (including plain email+password resets) breaks once a domain is re‑owned.
• Others: OAuth/SSO is supposed to improve on raw email-based trust; if Google can see that a Workspace/org is completely different, it should not silently attest that these are the “same” identities.
• Some view Google’s original classification as “fraud/abuse” (not OAuth) as technically correct but think Google still has a responsibility to mitigate.

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sub, email, and hd claims

• Specs and Google docs say sub is the unique, stable user ID and should be used to identify users; email is for contact, hd is the hosted domain.
• Critical dispute: an anonymous “0.04% of logins have changing sub” claim.
  • Some practitioners report never seeing this; others report sub changing on domain changes, company acquisitions, or employees being deleted and re‑created.
  • If sub really changes for the same human, SPs either break logins or ignore sub and fall back to email/hd, which re‑introduces the vuln.
• Several commenters argue the real bug (if any) is sub instability; others suspect misprovisioning or misinterpretation rather than a systemic Google issue.

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Public vs internal Google OAuth and other IdPs

• Distinction:
  • Public Google OAuth client: allows any Google account (Gmail or any Workspace) to log in; many SaaS apps use this plus hd/email domain filtering.
  • Internal OAuth or SAML: bound to a specific Workspace/tenant via keys/certs; new domain owners can’t reuse the integration.
• Some say using public OAuth for “corporate SSO” is a misuse; others note Google’s own docs encourage checking hd to restrict by domain.
• Microsoft/Entra is cited as having stronger org/user GUID claims that distinguish tenants cleanly.

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Domain lifecycle and messy shutdowns

• Many comments push back on the article’s “millions of accounts” framing but agree failed companies often:
  • Let domains lapse or can’t transfer them.
  • Leave SaaS and SSO integrations running.
  • Don’t reliably delete third‑party data.
• Anecdotes: buying lapsed domains exposes old email flows, lets attackers reset social accounts, or even regain access to old Google Apps data (in older setups).

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Mitigations and proposed fixes

• For SPs:
  • Treat sub as the primary key; never treat email/domain as identity.
  • If sub changes for an existing email, trigger manual/secondary verification or create a new account, not silent reassociation.
  • Optionally use SAML or internal OAuth clients tied to a specific Workspace/tenant, not the public Google OAuth endpoint.
• For IdPs / protocol design:
  • Add an immutable org/workspace identifier separate from hd so SPs can detect that “example.com (Workspace A)” ≠ “example.com (Workspace B)”.
  • Some point to Microsoft’s multiple GUID claims as a model.
• For companies:
  • Don’t let important domains expire; some suggest renewing for many years or using catch‑all inboxes to find stragglers.
  • Avoid using corporate emails as the only identifier for personal or long‑lived accounts (e.g., retirement plans).

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Unclear / disputed points

• Whether sub actually changes for the same underlying Google account at the reported rate is heavily disputed and not independently evidenced in the thread.
• It’s unclear what exactly Google agreed to “fix” when they reopened the bug and paid a bounty; no technical details are provided.

Dissatisfaction with public schools

• Many describe local public schools (US-focused, but also UK/EU) as unsafe, chaotic, or low-performing: bullying, chair‑throwing, drugs, and classrooms slowed to the pace of the weakest or most disruptive students.
• Lottery-based access to “good” schools (e.g., San Francisco, Boston) and property-tax-based funding create large quality gaps; some parents move districts or go private, others feel trapped.
• COVID remote schooling was a major inflection point: parents directly saw weak teaching, endless screen time, and heavy bureaucracy; in some places very long closures and strict masking further eroded trust.
• Complaints include ideological content (DEI/CRT, gender issues, or, conversely, Christian nationalism), phones and “digital narcotics” in class, lack of discipline due to policy and union constraints, and neglect of both gifted and special‑needs students.

Motivations for homeschooling

• Tailored academics: 1:1 pace, ability to accelerate or remediate, especially for gifted, ADHD/autistic, or bored students; use of Khan Academy, LLMs, co‑ops, and online courses.
• Environment: avoid bullying, “prison‑like” institutions, school‑shooting drills, and exposure to extremely disruptive peers; some explicitly want to limit time in “toxic” or violent peer groups.
• Values: religious instruction, skepticism of “government‑mandated values,” or, from the left, avoidance of consumerist/status culture and certain capitalist norms.
• Practical: private schools and “good” districts are seen as comparably or more expensive than living on one income and homeschooling.

Concerns and criticisms of homeschooling

• Many argue most parents lack pedagogical training, subject depth, or time; fear large knowledge gaps, especially in science, writing, and math beyond basics.
• Socialization is a major worry: fewer chances to learn to navigate diverse peers, conflict, and authority; proponents counter with co‑ops, sports, and mixed‑age networks that they say outperform age‑segregated classrooms.
• Risk of abuse or neglect is highlighted: minimal oversight in some jurisdictions lets parents provide almost no education or to use homeschooling to hide abuse or intense religious indoctrination.
• Some see widespread exit (homeschool, vouchers, private) as worsening public schools for children whose families can’t leave.

Alternatives and broader themes

• Debates around vouchers and charter schools: advocates expect competition and innovation; critics expect fly‑by‑night, for‑profit, or young‑earth‑creationist schools and further stratification.
• Thread reflects larger culture wars, but also a shared sense that current mass schooling often fails both average and non‑average kids, driving families to seek bespoke solutions.

Use Cases and Appeal

• Many are excited about LLMs as DMs or co-DMs, especially:
  • Solo play, or for people without a local group or willing human DM.
  • Parents running games for kids, or “perpetual DMs” who rarely get to be players.
  • Exploring unusual settings (e.g., Renaissance Venice, niche homebrew worlds) without lots of prep.
• LLMs work well for:
  • NPC dialogue, location descriptions, improvisation, and atmospheric text.
  • Generating monsters, encounters, puzzles, scenery art, and music prompts.
  • Rapid campaign building, character/scene “first drafts,” and summary/recap of sessions.

Skepticism and Limitations

• Many argue the core of tabletop RPGs is human social interaction and tailored storytelling; an AI DM feels “meaningless” or hollow by comparison.
• Full AI DMs are often:
  • Overly cheerful, conflict-averse, and “sycophantic,” making danger and failure feel fake.
  • Too pliable, letting players succeed at everything or co-author the story with no resistance.
  • Generic, tropey, and quickly boring compared to a strong human DM.
• Some report campaigns collapsing over continuity issues (e.g., how many maps existed, what items were obtained).

Technical Challenges and Proposed Architectures

• Biggest problems:
  • Long-term memory: persistent facts about PCs, NPCs, locations, items, and past events.
  • Rules fidelity and combat mechanics; correctly applying or house-ruling systems like D&D.
  • Maintaining consistent tone, personas, pacing, stakes, and constraints.
• Suggestions:
  • External “world state”/ontology with CRUD for stats, inventory, history, and locations.
  • RAG systems or iterative summarization to stay within context limits.
  • Treat LLM as a component: “system 1” intuition atop traditional “system 2” logic, storage, and dice.
  • Use finetuned open models for darker, higher-stakes play.

Human–AI Hybrid DMing and Research Notes

• Strong support for LLMs as assistants, not replacements:
  • Co-DM to handle lore, side NPCs, bookkeeping, and “what if” simulations.
  • NPC party companions that interject in chat/voice without replacing the human GM.
• The thesis is seen as an interesting early study but criticized for:
  • Small control group, opaque methodology, and using an older GPT-3.5-based model.
  • Lack of published gameplay transcripts, making results hard to interpret or reproduce.

Dutch / international design standards

• Many argue the safety problem is “solved” by Dutch-style road design: slow, visually constrained streets; tight turn radii; traffic calming; and full separation of bike and car networks.
• Others ask how applicable these standards are in areas with little current bike traffic; reply is that bike traffic appears where safe bike infrastructure exists.
• Links to Dutch guidance (SWOV, CROW) are shared; commenters note it’s essentially book-length, not a single trick.

Traffic lights vs 4‑way stops at this intersection

• Some pedestrians prefer signals with an all‑way “scramble,” claiming it’s safer than a busy 4‑way stop where drivers are distracted by other cars.
• Others say 4‑way stops are safer for pedestrians because speeds are lower and everyone must stop, reducing impact severity.
• Debate over whether switching this specific intersection to a signal made it safer or merely faster for cars and worse for people on foot.

Yellow/red light behavior and legality

• Long subthread on whether the cars in the video “ran a red.”
  • Some insist they entered legally on yellow and were still in the intersection when it turned red.
  • Others say they clearly had time to stop and accelerated through, which is dangerous even if technically legal.
• Laws differ by jurisdiction on entering on yellow and clearing on red; commenters note this ambiguity itself is a safety issue.

Roundabouts

• Several propose a compact roundabout as safer and higher‑throughput.
• Others counter that roundabouts (especially multi‑lane) are hostile to pedestrians and cyclists, and often confusing in North American practice.
• Suggested mitigations: raised crosswalks, pedestrian signals at roundabout entries, speed humps, and set‑back crossings.

Pedestrian priority, “beg buttons,” and mid‑block crossings

• Strong dislike of “beg buttons” that delay walk signals or only trigger after a full vehicle phase; people often cross anyway, then the light changes pointlessly.
• Some want signals to idle in an all‑red or pedestrian‑green state, forcing cars to request green.
• Support for mid‑block crosswalks where people already jaywalk; others report drivers often ignore unsignalized mid‑block crossings.

Car culture, politics, and enforcement

• Many see the redesign as another example of car‑first priorities and “safety theater” that preserves speed.
• Others emphasize that saving “seconds” per vehicle aggregates to important time savings and economic benefits.
• Disagreement over using cameras: some push automated enforcement; others raise privacy, surveillance, and data‑sale concerns.
• Several note local political resistance to any change that slows drivers, and low, biased police enforcement of traffic laws.

Cost and implementation

• $600k for one signalized intersection is widely viewed as high; explanations include expensive hardware, engineering studies, labor (incl. union/prevailing wage), and ancillary work (pavement cuts, curbs, markings).
• Some suspect “boondoggle” dynamics; others argue that good design and safety are worth the cost.

Overall market vs. Tesla-specific decline

• Several comments note EV sales and overall car registrations are down slightly in Europe, with reduced subsidies and weaker macro conditions.
• However, Tesla’s drop is much steeper than the market:
  • Example: in Germany, total registrations were ~1% down while Tesla sales fell ~41%.
  • In EU data cited, BEVs fell ~9.5% in November, but Tesla registrations declined ~40.9% in the same period.
  • Year‑to‑date, Tesla’s European market share shrank from ~2.8% to ~2.4% (EU+EFTA+UK); EV share of new cars was roughly flat.
• Some argue the EV market is roughly steady and Tesla is uniquely losing share; others stress broader EV softness and subsidy cuts.

Competition and product lineup

• Competition from legacy, Korean, and Chinese brands is seen as a major factor: Hyundai/Kia, BMW, Polestar/Volvo, VW group, BYD, Leapmotor, etc.
• Many describe non‑Tesla EVs as now “good enough” or superior in comfort, build quality, and traditional controls, even if Tesla still leads in efficiency or OTA software for some.
• Tesla’s lineup (mainly Model 3/Y) is viewed by some as aging; few mass‑market new models and the Cybertruck is irrelevant or negative in Europe.
• Examples where Tesla still dominates (e.g., Norway, Spain) are noted, but trends show fast catch‑up by VW group and Chinese/Korean entrants.

Brand, Musk, and politics

• A large group of commenters explicitly say they will not buy (or renew leases on) Teslas due to Musk’s behavior and political interventions, especially in Europe (e.g., support for far‑right parties, attacks on EU governments).
• Some report seeing Teslas with stickers distancing owners from Musk, and describe social stigma around Tesla/Cybertruck in certain circles.
• Others argue the “Musk effect” is overstated, limited to certain political demographics, or even offset by increased appeal among right‑leaning buyers in the US.
• Debate arises over whether Musk’s use of his platform is “free speech” or harmful interference/propaganda.

Design, usability, and safety concerns

• Many criticize Tesla’s heavy reliance on touchscreens and removal of physical controls (especially indicator stalks), describing them as unsafe and impractical on European roads (e.g., small roundabouts).
• Some praise Tesla’s value and quality; others call the cars cheaply built and dated compared to newer EV designs.

Valuation and financial discussion

• Several comments focus on Tesla’s high P/E (~110–120), contrasting it with much lower multiples for VW and tech firms like Alphabet.
• Some see the stock as a meme/overpriced asset detached from car sales, propped up by robotaxi/AI narratives.
• Others note Tesla’s absolute profits are still strong but acknowledge margin compression and the risk of a future correction.

Fake vs. never-filled postings

• Many commenters object to lumping “fake” jobs (no intent to hire) together with roles that were opened in good faith but never filled (budget pulled, priorities changed, internal candidate appears, hiring freeze).
• Others argue that from an applicant’s perspective the distinction is moot: either way their time is wasted and the effect is indistinguishable from the outside.
• Several stress that intent matters legally (fraud requires intent), but admit it is almost impossible to infer intent from public data.

Why fake / evergreen postings exist

• Resume harvesting by agencies; building candidate databases and salary intel.
• PERM/immigration requirements: posting roles tailored to an existing H‑1B employee and formally rejecting domestic candidates.
• “Optics” for investors and markets: appearing to grow or “always hiring top talent.”
• Internal politics and compliance: jobs posted even when an internal candidate is effectively preselected, or to satisfy policy.
• Market research: testing salary expectations, skill availability, or justifying tech stack and location decisions.
• Pacifying overworked teams by pretending help is “on the way,” or signaling “we’re hiring” while headcount is actually frozen.

Impact on job seekers

• Many describe extremely low hit rates (hundreds of applications per interview/offer) and long-delayed rejections.
• Ghosting is common at every stage, including after take-home tasks or multi-round interviews.
• Job hunts are described as “soul-crushing,” especially for new grads and mid-career engineers in the current downturn.
• Some say this has pushed them toward contract work, entrepreneurship, or leaving tech.

Hiring pipeline dysfunction & automation

• ATS filters and one-click apply produce massive noise; recruiters report thousands of resumes per posting and high rates of resume fraud.
• Hiring managers admit they skim or discard most applications rapidly and rarely read cover letters.
• Automation on both sides (AI-written resumes, AI screening) worsens mismatch and delays.

Networking vs. public postings

• Many report far better outcomes via referrals, prior colleagues, meetups, or niche communities than via job boards.
• Others note networks can fail in broad downturns when many contacts are also unemployed.

Regulation and remedies (contested)

• Some call for fines or regulation forcing postings to be “real” and closed promptly when no longer active.
• Others see major practical and legal hurdles (proving intent, handling legitimate no-hire outcomes, risk of perverse incentives).

Macroeconomy, leverage, and engagement

• Some link job enthusiasm to worker leverage: engagement appears higher when unemployment is low and workers can quit easily.
• Others challenge simple stories tying engagement to ZIRP or quits rate, noting mismatches (e.g., high quits but low engagement; post‑2008 low quits with little change in engagement).
• One view: engagement is essentially “hope” for better pay, development, and responsibility; when people feel trapped, enthusiasm drops.

Layoffs, overwork, and role drift

• Multiple anecdotes of layoffs followed by increased workload and no pay adjustment, while executive compensation rises.
• Staff engineers report being pushed into quasi‑management: Jira, coordination, politics, and performance reviews instead of building systems.
• There’s disagreement over whether this is what senior IC roles should be (broad technical plus coordination) or a misuse of technical talent as cheap management.

Return-to-office and remote work

• RTO mandates are widely seen as morale‑destroying, especially when workers commute only to sit on video calls or hot‑desk in noisy open offices.
• Some argue in‑office justifications are clearly not data‑driven, exposing “boss says so” decision‑making.
• Others strongly prefer remote/video for comfort, focus, control, and consent, while some still find video calls cognitively tiring and miss higher‑bandwidth in‑person cues.

Unions, organizing, and class consciousness

• Many ask why workers don’t organize given declining engagement.
• Explanations include: organizing is hard; conditions aren’t yet “intolerable” for most; decades of anti‑union propaganda; distrust of “we” language; and low social trust.
• Some note unions can protect against overt exploitation, but may not fix deeper ennui or lack of purpose.

Inequality, AI, and distribution of gains

• Recurrent theme: rising profits and markets with stagnant worker gains undermine motivation.
• Several point to capital capturing productivity gains; workers are treated as cost centers.
• AI is seen by some as an excuse for hiring freezes and headcount cuts, whether or not it can truly replace people, further eroding security and enthusiasm.

Work hours, cost of living, and alternatives

• Some argue 40‑hour weeks are outdated given modern productivity; others counter that competition for income and status keeps hours high.
• A few foresee demographic labor shortages potentially enabling shorter workweeks.
• High housing and healthcare costs are cited as core drivers of stress; local pro‑housing activism is suggested as one tangible lever.

Quality of workplaces and career moves

• Several report better engagement outside high‑growth corporate tech: universities, public sector, or stable, privately held companies with slow growth, few layoffs, and long tenures.
• Others leave big firms for startups or small companies, accepting lower compensation for autonomy, meaning, and saner culture.
• Some feel trapped and see “no greener pasture,” while others insist good environments still exist but are hard to find.

Skepticism about the survey and narrative

• Some are wary of the Gallup data and Axios framing: engagement has generally trended up over decades, and the “10‑year low” dip is modest.
• They argue media emphasize negative angles for attention, and readers are often several steps removed from the underlying data.

Balance bikes vs. training wheels

• Many commenters say pedal‑less “balance bikes” (or kick bikes / walking bikes) are now the default in much of Europe and increasingly in the US and Japan.
• Typical pattern: balance bike from ~2 years old, then near‑instant transition to a pedal bike around 3–5, often in minutes to a day and with few falls.
• Training wheels (“stabilizers”) are widely criticized: they teach trike‑style steering, delay real balancing, and create a hard, scary transition when removed.
• Some note training wheels can work if set slightly raised, so the child can practice balancing in a straight line, but they still don’t teach turning or starting well.

Teaching techniques and variations

• Common method: remove pedals (or use a balance bike), drop the saddle so feet are flat on the ground, practice scooting and gliding, often on a gentle slope or grass.
• Alternatives mentioned:
  • Use a scarf/towel/sheet or strap under the arms or around the chest, running behind to catch but not steer.
  • Hold a stick or the rear rack/seat instead of the handlebars to avoid interfering with steering.
  • Use scooters or trackstands to build balance skills.
• Several report teaching multiple kids this way in under an hour; others say stubborn or older kids sometimes reject pedal‑less practice and only engage once pedals are on.

Physics of bicycle balance

• Strong debate over the article’s “gyroscopic effect” explanation.
• Multiple commenters assert that self‑stability mainly comes from steering dynamics, frame geometry, and trail; gyroscopic forces are present but not dominant at typical speeds.
• Linked videos and papers show bikes that can self‑stabilize with gyroscopic effects removed, and riderless bikes that straighten by “steering into the fall.”

Bike design, hardware, and safety

• Kids’ bikes are often criticized for being too heavy and having coaster‑brake mandates in some jurisdictions; boutique brands (Woom, etc.) praised for light weight and child‑sized components.
• Hand brakes vs. coaster brakes are debated; front‑brake skill is seen as important but many parents lack maintenance confidence.
• Multiple reminders: left pedal uses left‑hand (reverse) threading; stripping cranks is a common novice mistake.

Broader learning metaphor

• Many tie the “take the pedals off” idea to pedagogy and skill design:
  • Reduce complexity by removing secondary tasks.
  • Build confidence and core mastery first, then add advanced “pedals” (details, tooling, syntax, etc.).
• Analogies made to math education, manual transmissions, swimming, programming, AI‑assisted coding, and language learning.

Concept and Mechanism

• Device burns fuel (H₂, natural gas, propane, gasoline, ammonia, syngas, etc.) with added sodium/salt to produce extremely bright, nearly monochromatic light (sodium D-line).
• Surrounding PV cells are tuned to that wavelength, enabling higher conversion efficiency than broad-spectrum solar.
• Heat exchanger recaptures exhaust heat to preheat incoming air/fuel and to keep sodium hot and emitting.

Efficiency and “Wire-to-Wire”

• Target efficiency is ≥40% fuel-to-electric (“wire-to-wire” for round-trip electricity→H₂→electricity).
• Some see 40% as comparable to diesel or decent gas turbines, useful especially for small generators.
• Others argue 40% is underwhelming versus batteries (80–90% round-trip), and note it is only a target, not demonstrated.
• Clarification: 40% of compressed-H₂ energy (~1250 Wh/L) gives ~500 Wh/L electrical output, matching site claims.

Energy Density and Comparison to Alternatives

• Discussed energy density claim of >500 Wh/L; reconciled as 40% of compressed hydrogen’s ~1250 Wh/L.
• Power/energy densities could be attractive for drones, light aviation, remote generation, and grid-scale H₂-in-salt-dome storage.
• Compared to:
  • Batteries: much lower density but much higher efficiency and rapidly improving.
  • Fuel cells: higher efficiency but issues with cost, durability, and fuel purity.
  • ICE/turbines: this approach could be quieter, with fewer moving parts, but large turbines already achieve ~60%+.

Materials, Sodium Cycle, and Emissions

• Uses sapphire/alumina and 3D-printed high-alumina ceramics at 1000–1800°C; quartz degrades over time.
• Sodium introduced as NaCl; molten salt wicks along surfaces, vaporizes, and recondenses to be largely recycled. A small percentage top-up is expected.
• NOx control proposed via maintaining high temperature (>1300°C) for limited time and appropriate flow/geometry; still needs validation.
• Some concern over hot sodium/salt corrosion, safety, and long-term reliability.

Use Cases and Practicality

• Suggested niches: drones, “attritable” or long-endurance aircraft, remote or quiet home/industrial generators, H₂ grid storage conversion.
• Multiple commenters question economic viability, hydrogen storage cost, and real-world efficiencies.
• Others see it as scientifically sound thermophotovoltaics with many engineering hurdles, but potentially high payoff if it works.

Nature of “Passive” Income

• Many argue the article describes a one‑person business, not true passive income.
• Ongoing maintenance, platform changes, outages, and support mean continued work.
• Some propose a looser definition: “passive” = <10 hours/week once running; others say only investments (ETFs, dividends, HYSA) really qualify.

Risk, Luck, and Feasibility

• Several commenters see strong survivorship bias: thousands try, a few succeed, and those few underestimate their luck.
• Others counter that with multiple modestly successful products over years, it’s unlikely to be pure luck; consistent effort and iteration matter.
• Entrepreneurship is compared to gambling: risky and often painful, but for some a fulfilling path if they understand the odds.

Competition and Opportunity

• Concern: crowded market, many laid‑off devs, easy cloning of simple apps.
• Responses: most devs won’t actually build; domain expertise, execution quality, and niche focus still differentiate.
• Copying validated ideas and competing on price or execution is suggested as more practical than chasing novelty.
• Local and highly specific solutions (e.g., niche hobbies, local services) are seen as underexplored.

Time, Life Constraints, and Psychology

• A major obstacle is carving out deep‑work time amid jobs, families, and burnout.
• Some restructure schedules (early mornings); others explicitly choose comfort and stability over side projects.
• One long subthread covers chaos, financial stress, learned helplessness, and lack of agency; suggestions include radical simplification, focusing on fewer goals, micro‑habits, boundaries, and therapy, while acknowledging some constraints are irreducible.

Transition Paths and Alternatives

• Gradual transitions (salary → part‑time/consulting → products) are viewed as ideal but not widely available.
• Consulting offers flexibility but requires finding clients and bears significant opportunity cost vs. a stable job.
• An alternative “passive income” route is high‑earning employment, aggressive saving, and investing (FIRE), though there’s debate about the required salary and savings rates and recognition that this path is limited to the relatively privileged.

Meta / Grift Concerns and Marketing

• Some see the piece as meta‑advice and self‑promotion (e.g., selling starter kits to people who want to start businesses), likening it to MLMs and classic “how to get rich” gurus.
• Others distinguish between generic grifts and cases where the seller has built real, useful products and shares experience, while admitting the broader starter‑kit trend looks sleazy.
• Several note that selling to people seeking alternative income is, historically, a very reliable business model.

Tools, LLMs, and Tactics

• LLMs are seen as accelerants: they can outline domains and help ship MVPs in a day, making “build fast and iterate” more accessible.
• However, choosing the right, already-validated problem and marketing effectively remain central challenges.
• Some report better traction using YouTube and “building in public” than traditional blogging.
• Focus tools like virtual coworking (e.g., Focusmate) are mentioned as practical aids for staying on task.