Standard Bots raises $200M, Instinct hits $10B, Python 3.15 breaks ast tooling

Sources

Building AI for Reliable Execution: Lessons From Industrial Robotics latent.space

Inside Standard Bots’ AI stack, pretrained models learn factory tasks from demonstrations and improve through corrections from real deployments.

Python 3.15.0 added to actions/python-versions simonwillison.net

Python 3.15.0 added to actions/python-versions Bit of a niche link, but I’ve been waiting for this for a couple of days - I even told ChatGPT to check for it: Clone https://github.com/actions/python-versions and git pull once an hour until they add the stable 3.15 - then tell me about it Now that this has landed, you can add “3.15” to a GitHub Actions testing matrix to run tests against the new Python 3.15.0 release . Tags: github , python , github-actions , chatgpt

Here are the top AI agents that can live in your text messages techcrunch.com

We created a list of the most notable AI agents that can live in your text messages, from general assistants to agents designed for families, travel, and work.

Dwarf Fortress uses version control now simonwillison.net

Tarn Adams spent two decades building Dwarf Fortress without source control, calling it a “black box thingy” in 2013. A 2023 interview tied to the game’s Steam release — which made the Adams brothers millionaires — confirms he now uses version control alongside Discord.

References

Superpower Daily superpowerdaily.com

Instinct raised $1 billion at a $10 billion valuation… just weeks after a $250 million Series B that priced the company at $2.5 billion — a fourfold jump in a single month, with only 14 employees and no publicly disclosed revenue.

Dapta AI blog dapta.ai

There is no native mobile application; the agent uses its own dedicated phone number… some testers reported autonomous errors, such as the agent booking non-refundable reservations without explicit confirmation.

eesel.ai review of Martin AI eesel.ai

Martin’s founders — university dropouts who grew the service to 100,000 users — eventually pivoted to launch ‘Letterbook’ after facing the operational strain of managing a high volume of support tickets for their own tool.

Agentstant profile of MultiOn agentstant.com

MultiOn secured a $20 million funding round at a $100 million valuation led by General Catalyst with participation from the Amazon Alexa Fund… reflecting a transition from ‘knowing’ assistants to ‘doing’ assistants.

Nile1 — SMS AI Agents 2026 nile1.com

Ollie distinguishes itself by being one of the few family-focused assistants to achieve SOC 2 compliance for handling household data.

Seekr — AI hallucination examples seekr.com

Air Canada was held legally liable for its chatbot inventing a bereavement policy, reinforcing the expert consensus that what an agent says is legally what the company says.

NewMarketPitch — ‘Is Standard Bots Overvalued?’ newmarketpitch.com

The $1 billion valuation is viewed by some analysts as a ‘well-funded bet’ rather than a fully proven business model… skeptics question whether the company can maintain software-level margins if it remains primarily a hardware manufacturer.

The Robot Report — Standard Bots raises $200M therobotreport.com

Standard Bots… on pace to deliver roughly 10% of all new U.S. robot deployments, with customers including NASA, Lockheed Martin, the U.S. Army, and Amazon, backed by a $200M Series C led by RoboStrategy with participation from Amazon Industrial Innovation Fund, General Catalyst and Samsung Next.

Forbes Tech Council — ‘How To Safely Deploy Self-Learning Industrial Robots’ forbes.com

If a task involves 100 consecutive actions, a 99% success rate per step drops the overall reliability of the sequence to just 36.6%… LfD policies often struggle to reach the ‘four nines’ (99.99%) of reliability required for high-volume manufacturing.

Hugging Face — Physical Intelligence π0 blog huggingface.co

π0 uses a vision-language-action architecture based on ‘flow matching’ which generates smooth motor trajectories at high frequencies (50Hz) to perform dexterous tasks like laundry folding — betting that software can eventually adapt to any hardware.

RoboticsCenter.ai — ‘ACT vs Diffusion Policy: When to Use Which’ roboticscenter.ai

Raw Diffusion Policies can be computationally expensive (sometimes limited to 2–5Hz), but implementations optimized for industrial use via Consistency Distillation can reach 20Hz or higher… the high-level AI policy streams action chunks to a low-level conventional motion controller handling kHz motor loops and safety logic.

EVSInt — ‘Top Robotics Foundation Model & Embodied AI Companies 2026’ evsint.com

Standard Bots deviates from the pure ‘brain’ approach by controlling the full stack… designed to solve the ‘latency and reliability bottleneck’ that plagues generalist models trying to run on third-party hardware, while Pi and Skild bet that software can adapt to any noisy hardware.

hwbusters.com — ‘Python 3.15 lands with lazy imports and a JIT finally pulling its weight’ hwbusters.com

geometric mean performance boost of 7–8% on x86-64 Linux and a more significant 11–12% gain on AArch64 macOS

blog.python.org — ‘Python 3.15.0 final is here’ blog.python.org

Release manager Hugo van Kemenade noted that shipping with these bugs would have been more detrimental than a one-week delay, pushing the official stable launch to October 9, 2026

docs.python.org — What’s New in Python 3.15 docs.python.org

ast.Str, ast.Num, ast.Bytes, and ast.NameConstant — deprecated since version 3.8 — have been fully removed in favor of the unified ast.Constant node

stevenpg.com — ‘Python 3.15 lazy imports & free-threading’ stevenpg.com

a ‘single-thread tax’ persists, with free-threaded builds typically showing a 5–9% performance overhead compared to standard GIL-enabled builds

gdevops.frama.io — Python versions tracker gdevops.frama.io

specific issues were raised when alpha releases, such as 3.15.0a6, failed to populate the actions/python-versions manifest promptly after being announced

dev.to — ‘What Python 3.15 changes and what to test now’ dev.to

import-time side effects and errors are now deferred, potentially causing applications to fail much later in their lifecycle than expected