If you’ve ever used a 3D printer, you may recall the wondrous feeling when you first printed something you could have never sculpted or built yourself. Download a model file, load some plastic filament, push a button, and almost like magic, a three-dimensional object appears. But the result isn’t polished and ready for mass production, and creating a novel shape requires more skills than just pushing a button. Interestingly, today’s AI coding agents feel much the same way.

Since November, I have used Claude Code and Claude Opus 4.5 through a personal Claude Max account to extensively experiment with AI-assisted software development (I have also used OpenAI’s Codex in a similar way, though not as frequently). Fifty projects later, I’ll be frank: I have not had this much fun with a computer since I learned BASIC on my Apple II Plus when I was 9 years old. This opinion comes not as an endorsement but as personal experience: I voluntarily undertook this project, and I paid out of pocket for both OpenAI and Anthropic’s premium AI plans.

Throughout my life, I have dabbled in programming as a utilitarian coder, writing small tools or scripts when needed. In my web development career, I wrote some small tools from scratch, but I primarily modified other people’s code for my needs. Since 1990, I’ve programmed in BASIC, C, Visual Basic, PHP, ASP, Perl, Python, Ruby, MUSHcode, and some others. I am not an expert in any of these languages—I learned just enough to get the job done. I have developed my own hobby games over the years using BASIC, Torque Game Engine, and Godot, so I have some idea of what makes a good architecture for a modular program that can be expanded over time.

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An anonymous reader shared this report from CNBC:

Led by Texas and New Hampshire, U.S. states across the national map, both red and blue in political stripes, are developing bitcoin strategic reserves and bringing cryptocurrencies onto their books through additional state finance and budgeting measures. Texas recently became the first state to purchase bitcoin after a legislative effort that began in 2024, but numerous states have joined the “Reserve Race” to pass legislation that will allow them to ultimately buy cryptocurrencies. New
Hampshire passed its crypto strategic reserve law last May, even before Texas, giving the state treasurer the authority to invest up to 5% of the state funds in crypto ETFs, though precious metals such as gold are also authorized for purchase. Arizona
passed similar legislation, while Massachusetts,
Ohio,
and South
Dakota have legislation at various stages of committee review…

Similarities in the actions taken across states to date include
include authorizing the state treasurer or other investment official
to allow the investment of a limited amount of public funds in crypto
and building out the governance structure needed to invest in
crypto… [New Hampshire] became the first state to approve the
issuance of a bitcoin-backed municipal bond last November, a $100 million issuance that would mark the first time cryptocurrency is used as collateral in the U.S. municipal bond market. The deal has not taken place yet, though plans are for the issuance to occur this year… “What’s different here is it’s bitcoin rather than taxpayer dollars as the collateral,” [said University of Chicago public policy professor Justin Marlowe]. In numerous states, including, Colorada,
Utah, and Louisiana,crypto is now accepted as payment for taxes and other state
business…

“For many in the state/local investing industry, crypto-backed assets are still far too speculative and volatile for public money,” Marlowe said. “But others, and I think there’s a sort of generational shift in the works, see it as a reasonable store of value that is actually stronger on many other public sector values like transparency and asset integrity,” he added.

Public policy professor Marlowe “sees the state-level trend as largely one of signaling at present,” according to the article. (Marlowe says “If you’re a governor and you want to broadcast that you are amenable to innovative business development in the digital economy, these are relatively low-cost, low-risk ways to send that signal.”) But the bigger steps may reflect how crypto advocates have increasing political power in the states. The article notes that the cryptocurrency industry was the largest corporate donor in a U.S. election cycle in 2024, “with support given to candidates on both sides.”

“It is already amassing a war chest for the 2026 midterms.”

Read more of this story at Slashdot.

This week Noema magazine published a 7,000-word exploration of our modern “Mythology Of Conscious AI” written by a neuroscience professor who directs the University of Sussex Centre for Consciousness Science:
The very idea of conscious AI rests on the assumption that consciousness is a matter of computation. More specifically, that implementing the right kind of computation, or information processing, is sufficient for consciousness to arise. This assumption, which philosophers call computational functionalism, is so deeply ingrained that it can be difficult to recognize it as an assumption at all. But that is what it is. And if it’s wrong, as I think it may be, then real artificial consciousness is fully off the table, at least for the kinds of AI we’re familiar with.

He makes detailed arguments against a computation-based consciousness (including “Simulation is not instantiation… If we simulate a living creature, we have not created life.”) While a computer may seem like the perfect metaphor for a brain, the cognitive science of “dynamical systems” (and other approaches) reject the idea that minds can be entirely accounted for algorithmically. And maybe actual life needs to be present before something can be declared conscious.

He also warns that “Many social and psychological factors, including some well-understood cognitive biases, predispose us to overattribute consciousness to machines.”

But then his essay reaches a surprising conclusion:

As redundant as it may sound, nobody should be deliberately setting out to create conscious AI, whether in the service of some poorly thought-through techno-rapture, or for any other reason. Creating conscious machines would be an ethical disaster. We would be introducing into the world new moral subjects, and with them the potential for new forms of suffering, at (potentially) an exponential pace. And if we give these systems rights, as arguably we should if they really are conscious, we will hamper our ability to control them, or to shut them down if we need to. Even if I’m right that standard digital computers aren’t up to the job, other emerging technologies might yet be, whether alternative forms of computation (analogue, neuromorphic, biological and so on) or rapidly developing methods in synthetic biology. For my money, we ought to be more worried about the accidental emergence of consciousness in cerebral organoids (brain-like structures typically grown from human embryonic stem cells) than in any new wave of LLM.

But our worries don’t stop there. When it comes to the impact of AI in society, it is essential to draw a distinction between AI systems that are actually conscious and those that persuasively seem to be conscious but are, in fact, not. While there is inevitable uncertainty about the former, conscious-seeming systems are much, much closer… Machines that seem conscious pose serious ethical issues distinct from those posed by actually conscious machines. For example, we might give AI systems “rights” that they don’t actually need, since they would not actually be conscious, restricting our ability to control them for no good reason. More generally, either we decide to care about conscious-seeming AI, distorting our circles of moral concern, or we decide not to, and risk brutalizing our minds. As Immanuel Kant argued long ago in his lectures on ethics, treating conscious-seeming things as if they lack consciousness is a psychologically unhealthy place to be…

One overlooked factor here is that even if we know, or believe, that an AI is not conscious, we still might be unable to resist feeling that it is. Illusions of artificial consciousness might be as impenetrable to our minds as some visual illusions… What’s more, because there’s no consensus over the necessary or sufficient conditions for consciousness, there aren’t any definitive tests for deciding whether an AI is actually conscious….

Illusions of conscious AI are dangerous in their own distinctive ways, especially if we are constantly distracted and fascinated by the lure of truly sentient machines…

If we conflate the richness of biological brains and human experience with the information-processing machinations of deepfake-boosted chatbots, or whatever the latest AI wizardry might be, we do our minds, brains and bodies a grave injustice. If we sell ourselves too cheaply to our machine creations, we overestimate them, and we underestimate ourselves…

The sociologist Sherry Turkle once said that technology can make us forget what we know about life. It’s about time we started to remember.

Read more of this story at Slashdot.

“Astronomers are preparing to capture a movie of a supermassive black hole in action for the first time,” reports the Guardian:

The Event Horizon Telescope (EHT) will track the colossal black hole at the heart of the Messier 87 galaxy throughout March and April with the aim of capturing footage of the swirling disc that traces out the edge of the event horizon, the point beyond which no light or matter can escape… The EHT is a global network of 12 radio telescopes spanning locations from Antarctica to Spain and Korea, which in 2019 unveiled the first image of a black hole’s shadow. During March and April, as the Earth rotates, M87’s central black hole will come into view for different telescopes, allowing a complete image to be captured every three days…

Measuring the black hole’s spin speed matters because this could help discriminate between competing theories of how these objects reached such epic proportions. If black holes grow mostly through accretion — steadily snowballing material that strays nearby — they would be expected to end up spinning at incredibly high speeds. By contrast, if black holes expand mostly through merging with other black holes, each merger could slow things down. The observations could also help explain how black hole jets are formed, which are among the largest, most powerful structures produced by galaxies. Jets channel vast columns of gas out of galaxies, slowing down the formation of new stars and limiting galaxy growth. In turn this can create dense pockets of material that trigger bursts of star formation beyond the host galaxy…
While the movie campaign will take place in the spring, the sheer volume of data produced by the telescopes means the scientists will need to wait for Antarctic summer before the hard drives can be physically shipped to Germany and the US for processing. So it is likely to be a lengthy wait before the rest of the world gets a glimpse of the black hole in action.
In a correction, the Guardian apologizes for originally including an AI-generated illustration of black hole with a caption suggesting it was a photo from telescopes. They’ve since swapped in an actual picture of the Messier 87 galaxy black hole.

Read more of this story at Slashdot.

Porsche made an announcement Friday. In Europe they sold more electrified Porsches last year than pure combustion-engined models, reports Electrek:

in Europe, a majority (57.9%) of Porsche’s deliveries were plug-ins, with 1/3 of its European sales being fully electric. For models that have no fully electric version but do have a PHEV (Cayenne and Panamera), the plug-in hybrid version dominated sales.

Of particular note, the Macan sold better with an electric powertrain than it did with a gas one, and was the company’s strongest-selling model line and the line with the largest sales growth. The Macan sold 84,328 units globally (up 2% from last year), with 45,367 (53.8%) of those being electric. That 53.8% may seem like a slim majority, but when compared to EV sales globally, it’s incredibly high. About a quarter of new cars sold globally were electric in 2025, so Porsche is beating that number with the one model where direct comparisons are available.
And even in the US, about a third of Macans sold were electric. That’s notable given the tough year EVs had in the US, with it being the only major car-buying region that experienced a tick down in EV sales… And again, while 1/3 is a minority of Macan sales in the US, it’s also well over the US’ average ~10% EV sales. So it’s clear the EV Macan isn’t just performing like an average EV, but well beyond it.

The article adds that “we’re quite excited about the Cayenne EV, which will be the most powerful Porsche ever.”

Read more of this story at Slashdot.

U.S. college graduates “have historically found jobs more quickly than people with only a high school degree,” writes Bloomberg.

“But that advantage is becoming a thing of the past, according to new research from the Federal Reserve Bank of Cleveland.”

“Recently, the job-finding rate for young college-educated workers has declined to be roughly in line with the rate for young high-school-educated workers, indicating that a long period of relatively easier job-finding prospects for college grads has ended,” Cleveland Fed researchers Alexander Cline and BarıÅY Kaymak said in a blog post published Monday. The study follows the latest monthly employment data released on Nov. 20, which showed the unemployment rate for college-educated workers continued to rise in September amid an ongoing slowdown in white-collar hiring… The unemployment rate for people between the ages of 20 to 24 was 9.2% in September, up 2.2 percentage points from a year prior.

There is a caveat. “Young college graduates maintain advantages in job stability and compensation once hired…” the researchers write. “The convergence we document concerns the initial step of securing employment rather than overall labor market outcomes.”

Their research includes a graph showing how the “unemployment gap” first increased dramatically after 2010 between college-educated and high school-educated workers, which the researchers attribute to “the prolonged jobless recovery after 2008”. But that gap has been closing ever since, with that gap now smaller than at any time since the 1970s.

“Young high school workers are riding the wave of the historically tight postpandemic labor market with well-below-average unemployment compared to that of past high school graduates, while young college workers are experiencing unemployment rates rarely observed among past college cohorts barring during recessions.”

The labor market advantages conferred by a college degree have historically justified individual investment in higher education and expanding support for college access. If the job-finding rate of college graduates continues to decline relative to the rate for high school graduates, we may see a reversal of these trends. The convergence we document concerns the initial step of securing employment rather than overall labor market outcomes. These details suggest a nuanced shift in employment dynamics, one in which college graduates face greater difficulty finding jobs than previously but maintain advantages compared with high school graduates in job stability and compensation once hired.

Two key quotes:

“Declining job prospects among young college graduates may reflect the continued growth in college attainment, adding ever larger cohorts of college graduates to the ranks of job seekers, even though technology no longer favors college-educated workers.”
“Developments related to AI, which may be affecting job-finding prospects in some cases, cannot explain the decades-long decline in the college job-finding rate.”

Read more of this story at Slashdot.

Last week a University of Arizona astronomy professor “watched anxiously…as an awe-inspiring SpaceX Falcon 9 rocket carried NASA’s new exoplanet telescope, Pandora, into orbit.”

In 2018 NASA had approached Daniel Apai to help build the telescope, which he says will “shatter a barrier — to understand and remove a source of noise in the data — that limits our ability to study small exoplanets in detail and search for life on them.”

Astronomers have a trick to study exoplanet atmospheres. By observing the planets as they orbit in front of their host stars, we can study starlight that filters through their atmospheres… But, starting from 2007, astronomers noted that starspots — cooler, active regions on the stars — may disturb the transit measurements. In 2018 and 2019, then-Ph.D. student Benjamin V. Rackham, astrophysicist Mark Giampapa and I published a series of studies showing how darker starspots and brighter, magnetically active stellar regions can seriously mislead exoplanets measurements. We dubbed this problem “the transit light source effect….”

In our papers — published three years before the 2021 launch of the James Webb Space Telescope – we predicted that the Webb cannot reach its full potential. We sounded the alarm bell…
Pandora will do what Webb cannot: It will be able to patiently observe stars to understand how their complex atmospheres change.

By staring at a star for 24 hours with visible and infrared cameras, it will measure subtle changes in the star’s brightness and colors. When active regions in the star rotate in and out of view, and starspots form, evolve and dissipate, Pandora will record them. While Webb very rarely returns to the same planet in the same instrument configuration and almost never monitors their host stars, Pandora will revisit its target stars 10 times over a year, spending over 200 hours on each of them.

It’s the first space telescope “built specifically for detailed multi-color observations of starlight filtered through the atmospheres of exoplanets,” reports the Arizona Daily Star, noting the University of Arizona will serve as mission control:

[T]echnicians will operate Pandora in real time and monitor its telemetry and overall health under a contract with NASA… The spacecraft will undergo about a month of commissioning before beginning science operations, which are scheduled to last for a year…

Pandora was selected as part of NASA’s Astrophysics Pioneers program, which was created in 2020 to foster compelling, relatively low-cost science missions using smaller, cheaper hardware and flight platforms with a price cap of no more than $20 million. By comparison, the Webb telescope — the largest and most powerful astronomical observatory ever sent into space — carries a pricetag of about $10 billion.

Pandora is a joint mission NASA and California’s Lawrence Livermore National Laboratory.

Read more of this story at Slashdot.