The contagion of fear Bryan Cantrill responds to the tweet by former Anthropic employee Jacob Coxon confirming that many Anthropic researchers believe AI "could kill us all by the end of the decade". Bryan shares a story of his own youthful mistakes causing unjustified panic among less technical peers, and warns against doing the same: These ghoulish claims strike brazenly at the hearth, and given the obvious importance of AI, it is unsurprising that they have leapt into the mainstream, with people asking the natural question: how would that happen? The answers always rely on hand-wavy extrapolation into the future; for example, Jacob Coxon cites "hacking critical infrastructure" and "extinction-level bioweapons" without further elaboration. But Coxon is not an expert on critical infrastr…

Reward AI has released OM-1 (Omnibody Model 1), a general-purpose manipulation policy trained entirely on human demonstrations captured with a 7-DoF wearable glove, with no teleoperation or on-robot data. The policy runs on industrial arms and humanoids at human speed, learns a new task from under 30 minutes of data, and pairs electromagnetic hand tracking (60% lower overshoot than visual-inertial at 67 cm/s) with an RL-trained control layer that runs on its own clock. No weights, code, or API are public yet. The post Reward AI Releases OM-1: A Robot Policy Trained on Human Demonstrations Only, With No Teleoperation or On-Robot Data appeared first on MarkTechPost.

Anyone running stateful Apache Spark™ Structured Streaming queries in production...

Sakana AI researchers Jeffrey Seely and Julian Gould introduce Augmented Lagrangian Predictive Coding (PC-ALM), a local-learning alternative to backpropagation. By attaching a Lagrange multiplier to each layer constraint, PC-ALM keeps predictive coding's layer-local updates while recovering exact backprop gradients in linear networks. It matches BP across widths and depths from 8 to 128 at an inference budget of T = 2L, lifts gradient cosine to BP from 0.604 to 0.909 in the reference cell, and trains 1000-layer residual MLPs within about 2 points of backprop on MNIST. MIT-licensed JAX code is available. The post Sakana AI Researchers Introduce PC-ALM, a Layer-Local Alternative to Backpropagation That Trains 1000-Layer Networks appeared first on MarkTechPost.

Amazon Bedrock AgentCore Identity now offers a Consent portal, a managed web experience and session binding endpoint for AgentCore Gateway. This post walks through provisioning a portal, configuring GitHub and Slack 3LO targets, and the end-user consent flow, and shows how to review activity in AWS CloudTrail.

My comment on What blog posts influenced your thinking the most? — Lobste.rs. An early Joel Spolsky one for me was The Law of Leaky Abstractions. I read that near the start of my career and it's encouraged me to always be looking for improved understanding of the layers under where I'm working, just in case one of those abstractions leaks. A more recent one, from 2018, is Migrations: the sole scalable fix to tech debt by Will Larson. I absolutely love his idea that migrations (e.g. replacing one service with a new one, or switching database engines, or whatever) are part and parcel of software engineering and are a skill that you should invest in and get good at, not avoid or treat as special one-offs. The Engineer/Manager Pendulum by Charity Majors was hugely influential for me. I…

NVIDIA CEO Jensen Huang speaks during the G20 Innovation Ministerial in Chapel Hill, North Carolina, on September 2, 2026. (Photo by Matt RAMEY / AFP via Getty Images) | AFP via Getty Images Nvidia CEO Jensen Huang took a call from President Trump on Monday while onstage at the All-In Podcast's All-In Summit. It's not the first time Huang has taken a call from the president during work, but this time he put Trump on speakerphone before a big crowd. During the call, the president launched into his take on recent fears about AI development, which he called a "hoax," and told the crowd that "the robots will not be taking over." It's already a frothy week for AI news. The call with the president followed Anthropic CEO Dario Amodei's long essay published this weekend titled "We Must Pace the F…

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Beijing hits back after Anthropic CEO calls for US to impede China’s progress in AI China has dismissed what it said were “fearmongering” calls for the US to block Beijing’s AI industry, even as the top Chinese spy chief warned the evolving technology could threaten Communist party rule. The US tech entrepreneur and Anthropic chief executive, Dario Amodei, wrote an essay published over the weekend that called for a global slowdown in AI capabilities, but also said Washington should actively impede Beijing’s advancement in order to keep a technological edge. Continue reading...

Christina Koch sits down with James Manyika, Google’s Senior Vice President of Research, Labs, Technology & Society.

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Central bank chief says continent’s AI dependency could give trade partners unprecedented leverage in negotiations Europe must develop its own AI technology and build more datacentres in order to nullify the threat of being cut off by the US or China, according to the president of the European Central Bank. Christine Lagarde said the continent needed AI models – the technology that powers AI tools such as chatbots – that were “good enough” to carry out most tasks and run from domestic datacentres. If Europe invests in its own AI tech, said Lagarde, “the threat of being cut off loses its force”. Continue reading...

The meaning of harness is still evolving.

Firm publishes AI guidelines with Microsoft AI CEO saying: ‘AI must be subordinate and always in service of people’ Microsoft published a provisional “code of conduct” Monday to apply to the training of new artificial intelligence models, taking a step towards limiting the capabilities of the company’s AI as anxiety rises over the prospect that technology companies could lose control of AI products. Mustafa Suleyman, the CEO of Microsoft AI, published the code on social media early Monday, writing: “AI must be subordinate and always in service of people. Continue reading...

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Richard Socher is an NLP OG and CEO of You.com, who has now spun out an even more ambitious startup focused on RSI — already worth $5B!

DevFest 2026 is back and here’s how you can connect with one of the more than 800 global events to build, secure, and scale in the agentic AI era.

Learn how Ninth Wave built Compass, a multi-agent AI onboarding assistant on Amazon Bedrock AgentCore that validates bank APIs against Financial Data Exchange (FDX) standards, scores compliance, and compresses open finance onboarding from weeks to minutes while meeting SOC 2 and PCI DSS requirements.

Pick the right generative AI customization approach on AWS with an 8-step decision framework, from prompt engineering and RAG to fine-tuning, continued pre-training, and Amazon Nova Forge. Start simple and escalate only when you must.

Foundation models made catalog-wide demand forecasting easy; the hard part is now acting on the forecast. This post builds a closed detect-decide-act loop on Databricks and Amazon Quick that reconciles demand surges against live supplier availability and places replenishment orders unattended, escalating to a human only when no supplier can cover a surge.

President condemns what he claims is a ‘sick conspiracy’ amid global tech selloff following CEOs calls for slowing pace of development Sign up for the Breaking News US email Donald Trump has claimed there is a “SICK conspiracy” against artificial intelligence and data centers in response to the growing calls for greater checks on AI development. “The only control or ‘guardrails’ that AI needs is a STRONG AND SMART (High IQ!) PRESIDENT, and the U.S.A. has that, in spades!” Trump wrote on Truth Social, insisting that the administration has stopped leaders of AI companies from “doing bad, or potentially bad” things. However, he didn’t point to any concrete examples for how he has curbed possible abuse or malfeasance in the industry. There is a SICK conspiracy going on against AI and Data Cen…

The trial is the first of its kind on the continent.

As local models become more capable, AI agents can handle more work directly on a PC while keeping sensitive information on the device. Portable Computer is a local version of the agent Perplexity Computer that plans and carries out multistep tasks. Accelerated by NVIDIA GPUs, it uses local models to analyze data, bring together information […]

Abigail Bradshaw says ‘enormous’ amounts of money required to update systems that people now expect to be constantly available Get our breaking news email, free app or daily news podcast One of Australia’s top intelligence agencies has warned that AI attacks could exploit the country’s old technology, as the government negotiates its guardrails on artificial intelligence’s rapid development. The chief of Anthropic, developer of Claude, has warned AI bots could swarm the internet within a year and called to “slow the pace” of development with support from the head of OpenAI and Elon Musk. Continue reading...

The cost of writing code collapsed, and the cost of reviewing, fixing and operating it is following, and I'm assuming it gets there. What's left of making software is finding out what people actually want, defining it precisely, and making it pleasant to use. That cost is per piece of software and doesn't transfer, so as the amount of software goes to infinity, which it will because there's no ceiling on demand, that cost becomes the whole job. — Laurie Voss, We are all Product Engineers now Tags: laurie-voss, generative-ai, agentic-engineering, ai, llms, deep-blue, careers

This interactive webinar will introduce the different types of AI, address the concerns with AI, share how we IBM are approaching Responsible AI, and offer guidance to students about what they can do - as individuals, and members of their IEEE chapters. Participants will also have the opportunity to to apply the Responsible AI approach to a particular use case - IBM Bob, a software development life cycle agent, and Q&A. This will be an interactive session, so have phones ready to engage! Register now for this free webinar!

On 25 August, OpenAI fully unveiled Jalapeño, the company’s debut AI accelerator chip. Jalapeño delivers up to 13.4 petaflops of 4-bit compute and accesses 232 gigabytes of the most advanced memory available, linking to it at a blazing 15.4 terabytes per second. Benchmarks cited by OpenAI show that Jalapeño can reduce end-to-end latency (the time between prompt to last token) by up to 3.6x when compared to Nvidia’s GB300—a chip the company currently relies on—and do so while consuming less power. Whether these figures translate into real-world gains once Jalapeño enters widespread service in OpenAI’s inference fleet remains to be seen, but performance is only half the story. The other half is how the chip was designed—a process which, as you might expect, was accelerated by OpenAI’s large…

Senior Python practice, watched up close, is mostly surprise reduction. These seven habits surface the surprises before production does.

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