Disney’s problem isn’t a lack of IP—it’s a lack of risk-taking. Endless remakes, reboots, sequels, and spin-offs are creating audience fatigue. Instead of living off characters from the past, Disney should be creating the next generation of iconic characters and stories.
#Disney #Hollywood #MovieIndustry #CreativeWriting #OriginalStories #EntertainmentNews
My Proposal for Reforming the Federal Agency Nomination Process (this what I believe is best for American Politics)
The federal government relies on hundreds of agencies and departments to carry out the laws enacted by Congress. Many of these organizations are led by officials who must be nominated by the President and confirmed by the Senate. While this system was designed to provide checks and balances, it has increasingly resulted in prolonged vacancies, extended reliance on acting officials, and reduced accountability to both Congress and the American people.
To address these problems, Congress should establish firm statutory deadlines governing the nomination and confirmation process for agency leadership positions.
Proposed Requirements
1. Presidential Nomination Deadline
* The President must submit a nominee within 30 days of a vacancy occurring in any Senate-confirmed agency leadership position.
2. Senate Hearing Deadline
* The appropriate Senate committee must begin confirmation hearings within 60 days of receiving the nomination.
3. Final Senate Vote Deadline
* The Senate must hold an up-or-down confirmation vote no later than 45 days after the confirmation hearings begin.
Why Reform Is Needed
Accountability Requires Permanent Leadership
Federal agencies wield significant authority over regulations, enforcement actions, spending, and policy implementation. When agencies operate under acting leadership for months or even years, responsibility becomes diffused. Acting officials often lack the political legitimacy and Senate scrutiny that confirmed leaders receive.
A functioning democracy requires that individuals exercising substantial executive authority be formally nominated, publicly vetted, and confirmed or rejected by elected representatives.
Acting Officials Should Not Become Permanent Workarounds
Current law allows acting officials to remain in place for extended periods through a combination of statutory extensions and nomination-related pauses. This creates incentives for both the Executive Branch and the Senate to delay action.
Presidents may be tempted to rely on acting officials rather than face difficult confirmation battles. Likewise, Senators may avoid politically difficult votes by allowing nominations to linger indefinitely.
Mandatory timelines would remove these incentives and ensure that vacancies are resolved through the constitutional process rather than administrative workarounds.
The American People Deserve Transparency
Confirmation hearings provide one of the few opportunities for public examination of agency leadership. Nominees must answer questions regarding qualifications, ethics, policy views, and management experience.
When positions remain vacant or are filled by acting officials for extended periods, the public loses this important layer of transparency and oversight.
Government Functions Better With Leadership Certainty
Federal employees, stakeholders, state governments, businesses, and citizens all benefit from knowing who is responsible for leading an agency. Extended vacancies create uncertainty, slow decision-making, and can undermine long-term planning.
A predictable process would provide agencies with greater stability while preserving the Senate’s constitutional advice-and-consent role.
Preserving Checks and Balances
These reforms would not diminish Senate authority or presidential prerogatives. The President would remain free to select any qualified nominee, and the Senate would remain free to approve or reject that nominee.
The proposal simply requires both branches to perform their constitutional duties within a reasonable timeframe. A nomination should not remain unsubmitted for months, nor should a nominee remain in procedural limbo indefinitely.
#GovernmentReform #Congress #USSenate #FederalAgencies #GovernmentAccountability #ChecksAndBalances #ConstitutionalGovernment #PublicService #GoodGovernance #GovernmentTransparency #CivicEngagement
This isn’t “sad.” It’s the predictable outcome of a system that treats shareholders as the only people who matter.
As long as corporations continue following the dogma that their primary obligation is maximizing shareholder returns above everything else, nothing meaningful will change. Companies like Coinbase and countless others are often still profitable in the normal sense of the word. They aren’t making cuts because they’re collapsing. They’re making them because Wall Street demands ever-increasing quarterly profits and stock value growth.
Employees, communities, and long-term stability become disposable the moment they interfere with maximizing investor returns.
Who decided that endless profit growth for a relatively small group of shareholders is more important than keeping people employed, maintaining institutional knowledge, or supporting the communities that helped build these companies in the first place?
There is enough money for companies to remain profitable while still treating employees like stakeholders instead of expendable line items. The real question is why society continues to accept “not enough growth” as the same thing as failure.
This video explores two distinct approaches to building with AI: “specifying”—where you attempt to fully define requirements upfront (often via structured formats like Markdown), and “sculpting”—an iterative, interactive process where you collaborate with the AI through progressive refinement and live coding.
Scott and Mark highlight how rigid specification can quickly break down in complex or ambiguous scenarios, while a sculpting approach allows developers to adapt in real time, discover better solutions, and leverage the AI as a true partner rather than a static tool.
This aligns exactly with how I prefer to work. I’ve found that interactive, skill-driven sessions—where code evolves through iteration—consistently outperform attempts to fully predefine requirements upfront. The “sculpting” model better reflects real-world development, especially when working with AI systems that excel in exploration and refinement rather than strict adherence to initial specs.
https://t.co/bKyeLvboBa
#AI #SoftwareDevelopment #LLM #Coding #DeveloperExperience
@shanselman@markrussinovic3
US Department of State
It’s hard to take the importance of a U.S. passport seriously when the government itself treats it like junk mail.
This is one of the most critical identity documents a person can have—used for international travel, proof of citizenship, and high-level identification. Yet it’s routinely sent through standard First-Class mail with no guaranteed tracking, no required signature, and no meaningful chain of custody.
How does that make sense?
If this document is important enough to require extensive verification, background checks, and weeks of processing, it should be important enough to require secure delivery. At a minimum, it should be sent via registered or certified mail with a mandatory signature upon delivery.
Instead, it’s handled like a stack of coupons—left in a mailbox, exposed to loss, theft, or misdelivery. That’s not just inconvenient; it’s a serious security risk.
There’s a clear gap between how valuable this document is supposed to be and how casually it’s treated once it’s issued. That needs to change.
Why aren’t our government representatives looking into this and entering legislation to ensure that these documents are delivered in a secure manner?
@SenatorDurbin@SenDuckworth@Foster4Congress
#PassportSecurity #IdentityProtection
Most of the economic commentary around AI still treats it like a future shock—something that arrives with AGI or “superintelligence.” That misses what’s already happening. Since 2022, LLMs have effectively been in live, in-the-field training mode—learning from millions of real interactions every day, much like how Tesla trained its self-driving systems using real-world driving data.
Our economy doesn’t run on genius-level intelligence—it runs on what you could call Mediocre General Intelligence (MGI): repeatable decisions, pattern recognition, and “good enough” outputs at scale. That’s exactly the lane where LLMs are rapidly improving. The gap isn’t theoretical anymore—it’s operational.
The uncomfortable reality is that we’re not just using these tools to be more productive—we’re actively training them with the data, edge cases, and workflows needed to replace us.
https://t.co/JG7iXvVQsT
Ridiculous premise, it makes for cinematic imagery going toe to toe with such limited weapons but if you know the type of enemy you’re going against there are better and more effective weapons to use. This is just a waste of ammunition. Stealth and more effective weapons would go a long way.
You’re imposing a human team structure onto an AI system that doesn’t require it. That isn’t progress—it’s unnecessary complexity. Modern LLMs already encompass the capabilities of product management, coordination, development, and testing within a single, unified reasoning process. Breaking that into multiple “agents” adds overhead, fragments context, and introduces variability without improving outcomes. Instead of simplifying development, it recreates the same inefficiencies AI is meant to eliminate.
https://t.co/ffOPgx1RHE
This is not true self-improvement of the model. Agentic prompting adds a reinforcement-style layer on top of an already trained LLM, guiding how it generates responses without changing the underlying model itself. The base model’s weights remain fixed, so its neural network is not actually learning or improving—only the quality of its outputs is being refined through external prompting and feedback mechanisms.
M2.7 just BROKE the Entire Industry... https://t.co/BJIciEttVY via @YouTube