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Appendix 367 A Implementation Details

Neural Information Processing Systems

W e are also committed to releasing the code. Implementation details for Stage 2. Our implementation strictly follows the previous work that also In this section, we briefly introduce our tasks. It requires the robot hand to open the door on the table. It requires the robot hand to orient the pen to the target orientation. It requires the robot hand to place the object on the table into the mug. We present the success rates of our six task categories as in Table 1.


I'm watching myself on YouTube saying things I would never say. This is the deepfake menace we must confront Yanis Varoufakis

The Guardian

I'm watching myself on YouTube saying things I would never say. These inventions trigger rage, but also optimism. I t was my blue shirt, a present from my sister-in-law, that gave it all away. It made me think of Yakov Petrovich Golyadkin, the lowly bureaucrat in Fyodor Dostoevsky's novella The Double, a disconcerting study of the fragmented self within a vast, impersonal feudal system. It all started with a message from an esteemed colleague congratulating me on a video talk on some geopolitical theme.


World 'may not have time' to prepare for AI safety risks, says leading researcher

The Guardian

Dalrymple said there was a gap in understanding between public sector and AI companies about the power of looming breakthroughs in the technology. Dalrymple said there was a gap in understanding between public sector and AI companies about the power of looming breakthroughs in the technology. World'may not have time' to prepare for AI safety risks, says leading researcher The world "may not have time" to prepare for the safety risks posed by cutting-edge AI systems, according to a leading figure at the UK government's scientific research agency. David Dalrymple, a programme director and AI safety expert at the Aria agency, told the Guardian people should be concerned about the growing capability of the technology. "I think we should be concerned about systems that can perform all of the functions that humans perform to get things done in the world, but better," he said.


The cost of AI slop could cause a rethink that shakes the global economy in 2026

The Guardian

The vast datacentres required are so expensive that many are financed by debt secured against future revenue. The vast datacentres required are so expensive that many are financed by debt secured against future revenue. Sun 4 Jan 2026 07.18 ESTLast modified on Sun 4 Jan 2026 08.47 EST The US dictionary Merriam-Websterâ s word of the year for 2025 was â slopâ, which it defines as â digital content of low quality that is produced, usually in quantity, by means of artificial intelligenceâ . The choice underlined the fact that while AI is being widely embraced, not least by corporate bosses keen to cut payroll costs, its downsides are also becoming obvious. In 2026, a reckoning with reality for AI represents a growing economic risk.


What happened after Tesla opened a diner in Los Angeles?

The Guardian

Inflatable tube men depicting Elon Musk are displayed during the'Tyrant Diner' protest, calling for a boycott of Tesla, outside the Tesla Diner in LA. Inflatable tube men depicting Elon Musk are displayed during the'Tyrant Diner' protest, calling for a boycott of Tesla, outside the Tesla Diner in LA. What happened after Tesla opened a diner in Los Angeles? L ess than six months since it opened, Elon Musk's Tesla Diner has the feel of a ghost town. Gone is the Optimus robot serving popcorn, gone are the carnivore-diet-inspired "Epic Bacon" strips, gone are the hours-long, hundred-person lines wrapped around the block.


Reddit overtakes TikTok in UK thanks to search algorithms and gen Z

The Guardian

Reddit is being touted as an antidote to AI-generated content. Reddit is being touted as an antidote to AI-generated content. Platform is now Britain's fourth most visited social media site as users seek out human-generated content Reddit, the online discussion platform, has overtaken TikTok as Britain's fourth most visited social media service, as search algorithms and gen Z have dramatically transformed its prominence. The platform has undergone huge growth over the last two years, with an 88% increase in the proportion of UK internet users it reaches. Three in five Brits online now encounter the site, up from a third in 2023, according to Ofcom .


Elon Musk's Grok AI generates images of 'minors in minimal clothing'

The Guardian

Grok has a history of failing to maintain its safety guardrails and posting misinformation. Grok has a history of failing to maintain its safety guardrails and posting misinformation. Elon Musk's Grok AI generates images of'minors in minimal clothing' Elon Musk's chatbot Grok posted on Friday that lapses in safeguards had led it to generate "images depicting minors in minimal clothing" on social media platform X. The chatbot, a product of Musk's company xAI, has been generating a wave of sexualized images throughout the week in response to user prompts. Screenshots shared by users on X showed Grok's public media tab filled with such images.


The Implicit Bias of Minima Stability: A View from Function Space

Neural Information Processing Systems

The loss terrains of over-parameterized neural networks have multiple global minima. However, it is well known that stochastic gradient descent (SGD) can stably converge only to minima that are sufficiently flat w.r.t.


Private Distribution Learning with Public Data: The View from Sample Compression

Neural Information Processing Systems

We study the problem of private distribution learning with access to public data. In this setup, which we refer to as *public-private learning*, the learner is given public and private samples drawn from an unknown distribution $p$ belonging to a class $\mathcal Q$, with the goal of outputting an estimate of $p$ while adhering to privacy constraints (here, pure differential privacy) only with respect to the private samples. We show that the public-private learnability of a class $\mathcal Q$ is connected to the existence of a sample compression scheme for $\mathcal Q$, as well as to an intermediate notion we refer to as \emph{list learning}. Leveraging this connection: (1) approximately recovers previous results on Gaussians over $\mathbb R^d$; and (2) leads to new ones, including sample complexity upper bounds for arbitrary $k$-mixtures of Gaussians over $\mathbb R^d$, results for agnostic and distribution-shift resistant learners, as well as closure properties for public-private learnability under taking mixtures and products of distributions. Finally, via the connection to list learning, we show that for Gaussians in $\mathbb R^d$, at least $d$ public samples are necessary for private learnability, which is close to the known upper bound of $d+1$ public samples.


When the AI bubble bursts, humans will finally have their chance to take back control Rafael Behr

The Guardian

The US economy is pumped up on tech-bro vanity. I f AI did not change your life in 2025, next year it will. That is one of few forecasts that can be made with confidence in unpredictable times. This is not an invitation to believe the hype about what the technology can do today, or may one day achieve. The hype doesn't need your credence.