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@Techmeme@techhub.social
2025-10-02 03:26:09

Simple, an AI-powered health coaching app to help users lose weight, raised a $35M Series B led by Kevin Hart's HartBeat Ventures (Dominic-Madori Davis/TechCrunch)
techcrunch.com/2025/10/01/kevi

Kevin Hart’s VC firm leads $35M Series B for weight-loss app Simple | TechCrunch
Simple is an AI-powered health coaching app that helps people lose weight.

@detondev@social.linux.pizza
2025-12-01 10:23:42

A perfect beauty of a sunflower! a perfect excellent lovely sunflower existence!
poetryfoundation.org/poems/493

Sunflower Sutra
Poems, readings, poetry news and the entire 110-year archive of POETRY magazine.

@timbray@cosocial.ca
2025-12-01 03:42:00

AWS Lambda Managed Instances: Serverless, only with servers!
Would like to see some app scenarios with detailed cost breakdown.
aws.amazon.com/blogs/aws/intro

Introducing AWS Lambda Managed Instances: Serverless simplicity with EC2 flexibility | Amazon Web Services
Run Lambda functions on EC2 compute while maintaining serverless simplicity—enabling access to specialized hardware and cost optimizations through EC2 pricing models, with AWS handling all infrastructure management.

@whitequark@mastodon.social
2025-12-02 01:56:27

my solution to the nightmare that is "SPI modes"

class Mode(enum.IntEnum, shape=2): IdleLow_SampleRising = 0 # CPOL=0, CPHA=0 IdleLow_SampleFalling = 1 # CPOL=0, CPHA=1 IdleHigh_SampleFalling = 2 # CPOL=1, CPHA=0 IdleHigh_SampleRising = 3 # CPOL=1, CPHA=1 @classmethod def from_cpol_cpha(cls, cpol: Literal[0, 1], cpha: Literal[0, 1]): return cls(cpol << 1 | cpha)
@hakonseth@snabelen.no
2025-09-02 14:22:42

Min fŸrste gang på #Nationaltheatret - etter 15 år som Oslo-boer! Det er #Hakkebakkeskogen - som jeg kjenner ut og inn, men det blir spennende å oppleve teaterversjonen.

Hovedscenen på Nationaltheatret. Sceneteppet er nede. Store blomsterfigurer står foran teppet. Salen fylles med barnefamilier.
@arXiv_csLG_bot@mastoxiv.page
2025-10-02 11:12:21

Temporal Score Rescaling for Temperature Sampling in Diffusion and Flow Models
Yanbo Xu, Yu Wu, Sungjae Park, Zhizhuo Zhou, Shubham Tulsiani
arxiv.org/abs/2510.01184

Temporal Score Rescaling for Temperature Sampling in Diffusion and Flow Models
We present a mechanism to steer the sampling diversity of denoising diffusion and flow matching models, allowing users to sample from a sharper or broader distribution than the training distribution. We build on the observation that these models leverage (learned) score functions of noisy data distributions for sampling and show that rescaling these allows one to effectively control a `local' sampling temperature. Notably, this approach does not require any finetuning or alterations to training…

@arXiv_mathCT_bot@mastoxiv.page
2025-10-02 08:07:11

Stable first order theories as simplicial profinite sets
Misha Gavrilovich
arxiv.org/abs/2510.00854 arxiv.org/pdf/2510.00854

Stable first order theories as simplicial profinite sets
We rewrite simplicially the standard definitions of a complete first order theory, a model of it, and various characterisations of stability of a complete first order theory. In our reformulations the simplicial language replaces the standard definitions based on syntax, making them formally unnecessary. We view a complete first-order theory as a symmetric simplicial object in the category of profinite sets and open continuous maps, defined by the functor sending a finite set of variables int…

@malik@Mastodon.Social
2025-09-02 07:42:35

Screenshot Uhrzeit wirkt irgendwie … surreal.

Das Bild zeigt den Statusleistenbereich eines Smartphones. In der Mitte ist die Uhrzeit "09:41" in weißer Schrift dargestellt, gefolgt von einem Pfeil, der nach rechts zeigt. Rechts daneben befinden sich Symbole für Mobilfunkqualität, WLAN und Akku. Die Mobilfunkqualität wird durch vier Balken dargestellt, die etwa die Hälfte gefüllt sind. Das WLAN-Symbol ist aktiv, und die Akku ist auf 80% aufgeladen, was durch ein grünes Symbol mit einem Blitzzeichen und der Zahl "80" angezeigt wird. Der Hint…
@arXiv_statML_bot@mastoxiv.page
2025-10-01 09:21:57

One-shot Conditional Sampling: MMD meets Nearest Neighbors
Anirban Chatterjee, Sayantan Choudhury, Rohan Hore
arxiv.org/abs/2509.25507 arxi…

One-shot Conditional Sampling: MMD meets Nearest Neighbors
How can we generate samples from a conditional distribution that we never fully observe? This question arises across a broad range of applications in both modern machine learning and classical statistics, including image post-processing in computer vision, approximate posterior sampling in simulation-based inference, and conditional distribution modeling in complex data settings. In such settings, compared with unconditional sampling, additional feature information can be leveraged to enable mo…

@Techmeme@techhub.social
2025-10-31 02:20:48

SEC filing: Snowflake says an executive shared unauthorized financial guidance with an Instagram influencer; an Oct. 26 video interview features CRO Mike Gannon (Alice Tecotzky/Business Insider)
businessinsider.com/influencer

An influencer's interview with Snowflake's CRO triggered an 8K filing
Mike Gannon said that Snowflake will end the year with just over $4.5 billion in revenue and that "we're getting to $10 billion in a couple of years."