# ai and ml Artificial intelligence and machine learning: AI concerns computer programs performing tasks associated with human intelligence, while ML uses statistical algorithms to discover patterns in data. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## TypeSafe AI debuts model for machines that plays Doom DevFeed: [TypeSafe AI debuts model for machines that plays Doom]() Original publisher: [Read original article]() Author: Thomas Claburn Published: 2026-09-16T01:35:16Z Content type: release Language: en Sources: [www.theregister.com - Articles]() Topics: [Artificial Intelligence](), [ai and ml]() Tags: [ai](), [ai-agents](), [ai-and-ml](), [artificial-intelligence](), [jev](), [large-language-models](), [model](), [typesafe-ai]() ### AI overview TypeSafe AI introduced Jev, a model that produces typed probabilistic decisions rather than conversational responses. ### Source excerpt 'Jev' doesn't chat. It produces typed probabilistic decisions ## Microsoft drafts feel-good AI model guidelines and wants your input DevFeed: [Microsoft drafts feel-good AI model guidelines and wants your input]() Original publisher: [Read original article]() Author: Thomas Claburn Published: 2026-09-15T00:15:29Z Content type: news Language: en Sources: [www.theregister.com - Articles]() Topics: [Artificial Intelligence](), [Microsoft](), [ai and ml]() Tags: [ai](), [ai-and-ml](), [ai-safety](), [artificial-intelligence](), [code-of-conduct](), [microsoft](), [model]() ### AI overview Microsoft has drafted aspirational guidelines for AI model behavior and is seeking public input, while acknowledging that models may still get things wrong. ### Source excerpt Redmond outlines 'aspirational' goals for model behavior, but gives itself a pass if it gets things wrong ## Ex-FTC boss Khan urges Uncle Sam to break out the handcuffs for AI CEOs, citing 1934 precedent DevFeed: [Ex-FTC boss Khan urges Uncle Sam to break out the handcuffs for AI CEOs, citing 1934 precedent]() Original publisher: [Read original article]() Author: Brandon Vigliarolo Published: 2026-09-14T16:59:24Z Content type: news Language: en Sources: [www.theregister.com - Articles]() Topics: [Artificial Intelligence](), [ai and ml]() Tags: [ai](), [ai-and-ml](), [anthropic](), [artificial-intelligence](), [ftc](), [hugging-face](), [openai]() ### AI overview Former FTC chair Lina Khan urges the US government to consider criminal accountability for AI company executives, citing a 1934 precedent. The article notes that existing laws may already hold companies and their executives accountable. ### Source excerpt There are plenty of laws on the books to hold companies, and potentially their execs, accountable ## AI and its main promoters are not enterprise-ready, says Gartner DevFeed: [AI and its main promoters are not enterprise-ready, says Gartner]() Original publisher: [Read original article]() Author: Simon Sharwood Published: 2026-09-14T05:11:19Z Content type: news Language: en Sources: [www.theregister.com - Articles]() Topics: [Artificial Intelligence](), [ai and ml]() Tags: [ai](), [ai-and-ml](), [enterprise](), [gartner](), [model]() ### AI overview The article reports Gartner's assessment that AI and its main promoters are not ready for enterprise use, citing the rapid pace of model-makers and their lack of concern when changes break things. ### Source excerpt Model-makers move too fast and don't care when they break things ## Big AI sets out its terms for regulatory capture and calls it 'Pace the frontier' DevFeed: [Big AI sets out its terms for regulatory capture and calls it 'Pace the frontier']() Original publisher: [Read original article]() Author: Simon Sharwood Published: 2026-09-14T01:15:16Z Content type: news Language: en Sources: [www.theregister.com - Articles]() Topics: [Artificial Intelligence](), [ai and ml](), [anthropic](), [OpenAI](), [Microsoft]() Tags: [ai](), [ai-and-ml](), [ai-regulation](), [anthropic](), [dario-amodei](), [elon-musk](), [microsoft](), [openai]() ### AI overview The article examines how major AI figures set out terms for regulatory capture under the label "Pace the frontier." Its supplied summary says Amodei, Altman, Nadella, and Musk agree on how government can address the risks of AI systems they helped create. ### Source excerpt Amodei, Altman, Nadella and Musk agree on how government can tame the monster they created ## Last article of 2025 - A Directional Update DevFeed: [Last article of 2025 - A Directional Update]() Original publisher: [Read original article]() Author: Alex Razvant Published: 2025-12-27T14:35:36Z Content type: article Language: en Sources: [Neural Bits]() Topics: [Building AI Systems](), [ai and ml](), [Computer vision](), [Code](), [C](), [C++](), [Python](), [Objective-C](), [Swift](), [iOS]() Tags: [2025](), [ai](), [applications](), [article](), [asus](), [building-ai-systems](), [c-plus-plus](), [code](), [computer-vision](), [ios](), [mac](), [objective-c](), [python](), [swift](), [update]() ### AI overview An end-of-year reflection on how the author's newsletter will change in 2026. The author connects early work and study choices with a gradual move into programming, AI, machine learning, and building AI systems, emphasizing that direction mattered more than speed. ### Source excerpt Reflecting on 2025, and how this newsletter is changing going into 2026 ## How Modal uses ClickHouse to power real-time observability for AI workloads DevFeed: [How Modal uses ClickHouse to power real-time observability for AI workloads]() Original publisher: [Read original article]() Author: ClickHouse Published: 2025-11-05T00:00:00Z Content type: article Language: en Sources: [ClickHouse Blog]() Topics: [clickhouse](), [AI Infrastructure](), [observability](), [real-time](), [dashboards](), [Containers](), [GPU](), [Cloud](), [Inference](), [ai and ml]() Tags: [ai-infrastructure](), [clickhouse](), [containers](), [dashboards](), [gpu](), [inference](), [observability](), [real-time](), [scalability]() ### AI overview Modal uses ClickHouse Cloud to provide real-time observability for AI workloads running across thousands of GPUs and containers. A single ClickHouse table ingests 1-2 million events per minute, stores about 500 billion logs, and supports sub-second queries for multiple dashboards. ### Source excerpt Modal uses ClickHouse Cloud to power real-time observability dashboards for AI workloads running across thousands of GPUs and containers ## ClickHouse Open House Roadshow NYC videos are here DevFeed: [ClickHouse Open House Roadshow NYC videos are here]() Original publisher: [Read original article]() Author: Tanya Bragin Published: 2025-10-21T12:11:40Z Content type: article Language: en Sources: [ClickHouse Blog]() Topics: [clickhouse](), [real-time](), [observability](), [Data Management](), [ai and ml](), [Data Science](), [Scalability]() Tags: [analytics](), [clickhouse](), [data-management](), [efficiency](), [infrastructure](), [observability](), [real-time](), [scalability](), [speed]() ### AI overview The ClickHouse Open House Roadshow in New York released recordings featuring customer and product-team presentations. The sessions cover real-time analytics, observability, interactive data warehousing, and AI and ML infrastructure, with examples from Capital One and Ramp. The article highlights improvements in response times, scalability, and infrastructure costs from using ClickHouse. ### Source excerpt The ClickHouse Open House Roadshow kicked off in New York on October 7th with compelling customer stories from Modal, Ramp, and Capital One, and all session videos are now live. ## Top 10 Launches of Launch Week 12 DevFeed: [Top 10 Launches of Launch Week 12]() Original publisher: [Read original article]() Author: Paul Copplestone Published: 2024-08-16T07:00:00Z Content type: article Language: en Sources: [Supabase Blog]() Topics: [Supabase](), [Databases](), [ai and ml](), [Artificial Intelligence](), [Python](), [GitHub Copilot](), [vs-code](), [Auth0](), [browser](), [Qdrant](), [wasm](), [Amazon S3]() Tags: [ai](), [ai-and-ml](), [announcements](), [auth](), [authentication](), [authorization](), [browser](), [cli](), [copilot](), [database](), [extension](), [launch](), [python](), [s3](), [vs-code](), [wasm]() ### AI overview A ranked overview of Supabase Launch Week 12 highlights, including open-source database tools, data migration utilities, VS Code and GitHub Copilot integration, official Python support, log export, Realtime authorization, expanded authentication options, WebAssembly foreign data wrappers, and database.build, an in-browser Postgres sandbox with AI assistance. ### Source excerpt Highlights from Launch Week 12 ## Optimizing Safe Browsing checks in Chrome DevFeed: [Optimizing Safe Browsing checks in Chrome]() Original publisher: [Read original article]() Author: Chromium Blog (noreply@blogger.com) Published: 2024-02-13T17:00:00Z Content type: news Language: en Sources: [Chromium Blog]() Topics: [Chrome](), [Security](), [Latency](), [real-time](), [Social engineering](), [ai and ml](), [Google]() Tags: [ai](), [ai-and-ml](), [chrome](), [google](), [latency](), [none](), [phishing](), [real-time](), [security](), [social-engineering](), [user-experience]() ### AI overview The article announces changes to Chrome's Google Safe Browsing checks. Starting with Chrome 122, real-time server-side checks will run asynchronously so pages can load without waiting, reducing latency and improving browsing experience while preserving warnings for dangerous sites. The change also enables experimentation with AI and ML algorithms to detect phishing and social engineering attacks. ### Source excerpt Balancing security and usability is always top of mind for us as we strive to stay on top of the constantly evolving threat landscape while building products that are delightful to use. To that end, we'd like to announce a few recent changes to how Chrome works with Google Safe Browsing to keep you safe online while optimizing for smooth and uninterrupted web browsing. Asynchronous checks Today, Safe Browsing checks are on the blocking path of page loads in Chrome, meaning that users cannot see pages until checks are completed. While this works fine for local-first checks such as those made using Safe Browsing API v4, it can add latency for checks made directly with the Safe Browsing server. Starting in Chrome 122, we will begin to introduce an asynchronous mechanism which will allow sites to load even while real-time checks with Safe Browsing servers are in progress. We expect this to reduce page load time and improve user experience as real-time server-side checks will no longer block page load, although if a site is found to be dangerous after the page loads then a warning will still be shown. In addition to the performance boost, this change will let us improve the quality of protection over time. By taking the remote lookup outside of the blocking path of the page load, we're now able to experiment with and deploy novel AI and ML based algorithms to detect and block more phishing and social engineering attacks. It was previously challenging to perform such experimentation because of the potential to delay page loads. In terms of potential risks, we evaluated the following and concluded that sufficient mitigations are in place: Phishing and social engineering attacks: With the move to asynchronous checks, such sites may start to load while server-side Safe Browsing checks are in progress. We have studied the timing data and concluded that it is extremely unlikely a user would have significantly interacted with (e.g. typed in a password) such a site by the time a