AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：Ex-president urged party at closed-door fundraiser to create sweeping framework, from safety ‘slow-down’ to job losses Barack Obama urged Democrats to prioritize a “public conversation” about AI management and safety in a closed-door Manhattan fundraiser last week. The comments by the former US president reportedly urged the party to create a sweeping framework for everything from a safety “slow-down” to domestic job losses and children’s wellbeing. Continue reading...
AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：Rare show of unity from rival developers after safety warnings from Anthropic boss and AI researchers The Guardian view on controlling AI: humanity cannot outsource its survival Sam Altman and Elon Musk have backed a call from the head of Anthropic, Dario Amodei, to “slow the pace” of AI development after he warned that an AI swarm could otherwise become capable of “taking over the entire internet” within a year. In a rare show of unity, the rival technology leaders threw their weight behind the appeal from the founder and chief executive of the artificial intelligence company Anthropic, which came after a series of warnings from AI researchers last week. Continue reading...
AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：OpenAI’s decision comes after dire warnings about rapidly progressing technology and lawmakers’ calls for new rules OpenAI will not go public in 2026, Sam Altman said in a Fortune interview published on Saturday, citing safety concerns over artificial intelligence. “I actually think that, given everything happening with safety, right now would be an ill-advised moment to go public, and we don’t feel pressure on that,” Altman, OpenAI’s CEO, told Fortune. Continue reading...
AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：OpenAI CEO Sam Altman confirmed that there would be no OpenAI IPO in 2026 during an interview with Fortune. Over the course of 45 minutes, Altman discussed a variety of subjects including the Hugging Face hacking incident, recursive self-improvement, and the possibility of building an AI that was beyond human control. On the latter, he said it was "absolutely" possible, but vowed to take actions to prevent that from happening, even if it meant pausing training, adding that "there are risks we should not be able to incur on behalf of humanity." "We're not rushing into an IPO. I actually think that, given everything happening with safety, th … Read the full story at The Verge.
AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：This intimacy economy is tapping into the deepest parts of our intimate psychological infrastructure The modern mind is a column where experts discuss mental health issues they are seeing in their work Michael* is an engineer whose company embraced the AI wave. He enjoys testing ideas with chatbots. However, recently his manager became worried about his judgement and reliance on the tech. “He literally cannot make any decision without running it past AI. He’s developed a very off-script interpretation of our business goals, and he’s losing his team. If we can’t get him back on track I think we’ll end up parting company”. The original attention economy developed by tech firms was designed to capture human time and monetise your focus. It was designed…
AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：Technology is going to drastically reshape the economy, and it’s within our power to decide what that looks like The idea that autonomous, thinking machines may one day destroy property, hierarchy and inequality is as old as western political thought. In Aristotle’s Politics, the philosopher cites a fantasy from the Iliad, in which machines begin to act independently of human direction, concluding: “If every tool could perform its own work when ordered, or by seeing what to do in advance … if thus shuttles wove and quills played harps of themselves, master-craftsmen would have no need of assistants and masters no need of slaves.” The dream that automation could inaugurate a classless society is also present in the writings of Karl Marx. In 1858 he i…
AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：Pilot project in Preston comes with apprenticeship offer for Neets at end of three-week course In a youth centre opposite Preston bus station, the UK government is trying to address two of the greatest challenges facing the national economy: AI and youth unemployment. The hope is that one will solve – rather than cause – the other. In a room at the recently opened Vault, a community hub in the Lancashire city, an “AI bootcamp” is under way – part of a trial in the north-west to give 16- to 24-year-olds AI training. Continue reading...
AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：In this episode of Science Weekly, recorded in front of an audience at the London podcast festival on 3 September, Ian Sample hears from Michael Safi, the host of the Guardian’s chart-topping podcast about artificial intelligence, Black Box. In series two, Black Box: the chatbots, Michael meets people who have become convinced they have made scientific breakthroughs, cured diseases or invented new technologies using AI chatbots. Ian, Michael and Science Weekly’s co-host Madeleine Finlay explore the phenomenon labelled ‘AI psychosis’ and ask what it reveals about a technology now used by more than a billion people Listen to Black Box: the chatbots Support the Guardian: theguardian.com/sciencepod Continue reading...
AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要： California Brown Pelican, in San Mateo County, CA, US The Pacifica Pier shut down at the start of June after a crack in the concrete walkway made access to the pier unsafe. It has since been entirely taken over by pelicans! Tags: wildlife
AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：Without laws requiring transparency or a right of review, our human rights will be rationed away by algorithmic and automated decision-making tools As we hurtle towards a post-human future, the absence of a human rights act in Australia will put us all at ever greater risk. Human rights, which the Australian parliament has never managed to properly legislate despite overwhelming public support, risks becoming a dimly remembered artefact of another age at precisely the moment we need it most. Continue reading...
AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：Virginia man Jon Ganz was rebuilding his life after spending more than two decades in prison for a horrific crime. Last year, he got a prompt on his phone that his wife, Rachel, believes changed their lives forever. It was from Google, inviting him to try the company’s AI chatbot, Gemini Listen to the series: Black Box: The Chatbots Continue reading...
AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：Enterprise AI company Cohere announced North Small Translate last week, a mixture-of-experts (MOE) open-weight machine translation model that works across The post “Machine translation is still broken for most of the world’s languages”: Cohere builds non-reasoning for a reason appeared first on The New Stack.
AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：Faster models, nine billion genetic predictions, personal agents, and a proof that could make mathematical history.
AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要： Here's a neat thing I had ChatGPT Work with GPT-6 Astra (Max) do this morning: I live at . Figure out 5K and 10K running routes from me that loop from my house. Use OSM data. It worked for 27 minutes and produced exactly what I'd asked for, as both an embedded visualization and downloadable GPX file and GeoJSON files. Here's that 5K route: When I asked it how it had created the route, it replied: I used Nominatim to locate the address and Overpass to download local OpenStreetMap roads and trails, then calculated the loops locally. Frustratingly, the actual code it ran and exact details of what it did weren't visible to me in the ChatGPT UI. I see this lack of transparency is an anti-feature. As for displaying the map to me, that used the visualize…
AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：The Fly Language Model (FLM) drives all 166,700 retained neurons and 25.6 million edges of the MaleCNS fruit fly connectome with token embeddings, then adds a small learned correction to a frozen LFM2.5-1.2B-Instruct backbone. Only 278,528 parameters train. The accompanying preprint reports a 0.0222 nat per token improvement over the backbone, but a parameter-matched control without the graph does slightly better in every seed. We break down the architecture, the four controls, the 0.6 per token memory bound, and what it takes to run the MIT-licensed code locally. The post Fly Language Model (FLM) Wires the Full Fruit Fly Connectome Into a Frozen 1.2B LLM, and Its Own Controls Show the Wiring Does Not Help appeared first on MarkTechPost.
AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要： For a while, I must admit, it looked as if software developer roles like mine were done for. How could we fight against tireless robots? But our industry is slowly realizing that making truly cutting-edge software still requires humans to think and work together, to maximize their skill sets and to practice their respective crafts. A.I. can write very good software, but it also makes it easy to do someone else’s job badly, which is part of why all those projects fail. Now that everyone can code, it’s become clearer why many shouldn’t. — Paul Ford, A.I. Was Supposed to Give Us New Killer Apps. What Happened? Tags: paul-ford, generative-ai, deep-blue, ai, llms
AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：AI analysis of 400,000 Reddit posts found that users of drugs such as Ozempic, Wegovy, Mounjaro, and Zepbound reported unexpected symptoms including menstrual changes, chills, hot flashes, and fatigue. Researchers cannot say the medications caused these problems, but the patterns may reveal overlooked signals worth studying.
AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：Pizza Bot is an open source, self-hosted inbox for AI agents built on DeepAgents and LangGraph. It combines persistent task state, MCP integrations, configurable approvals, and scheduled workflows across multiple model providers. The post AWS Introduces Pizza Bot: An Open Source Inbox for Background AI Agents appeared first on MarkTechPost.
AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：A shallow agent is an LLM calling tools in a loop, and on long tasks it fails in 2 ways: context overflow and goal loss. This article opens the harness layer that fixes both, with the actual thresholds shipped by LangChain Deep Agents, Claude Code, Manus, OpenAI Codex and Amazon Bedrock AgentCore, plus an interactive simulator that shows a 200K window filling up. The post Context Engineering Inside the Harness: 4 Mechanisms That Beat Context Overflow and Goal Loss on Long-Horizon Tasks appeared first on MarkTechPost.
AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：Cognition, the company behind the Devin coding agent, has released SWE-2, its most capable coding model to date. SWE-2 is post-trained with reinforcement learning from Kimi K3, Moonshot AI’s 2.8T-parameter open model. Cognition reports a score of 50.0% on FrontierCode 1.1 Main, within 1 point of Fable 5.1 at 64% lower cost. It is also […] The post Cognition Releases SWE-2: A Kimi K3 Post-Trained Coding Model That Matches Fable 5.1 on FrontierCode at 64% Lower Cost appeared first on MarkTechPost.
AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：In May, hundreds of malicious and spam packages were uploaded to RubyGems, causing a serious disruption for the host. Now independent researchers have said that a swarm of OpenAI agents were responsible for the attack. Not only that, but the AI tried to steal users' API keys. At the time, RubyGems described it as a "major malicious attack" and shut down signups for four days as it tried to mitigate the damage and collect data. Researchers said that the contents of the packages that brought RubyGems to its knees were clearly authored by an LLM, and that the agents submitting those packages self-identified as being from OpenAI. They said the … Read the full story at The Verge.
AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：Anthropic CEO Dario Amodei says the time has come to slow down AI development and will give third-party evaluators like METR access to its models to help ensure its "adherence to safety practices and commitments." In a winding essay, Amodei proposed a three-step plan to "pace the frontier" - jargon that simply means to slow the pace of training and development to give companies time to build safeguards and regulators to evaluate models. Amodei says that giving external evaluators wide-ranging access is just the first step, and one it is taking now unilaterally. Step two would involve the industry coming together as a whole, likely with gove … Read the full story at The Verge.
AI サービスが一時的に利用できないため、復旧後に翻訳を補完します。ソース概要：This practical tutorial demonstrates how to build and accelerate machine learning workflows using NVIDIA cuML and RAPIDS. It covers GPU environment setup, zero-code scikit-learn acceleration with cuml.accel, performance benchmarking across key ML algorithms, manifold learning with UMAP and HDBSCAN, tree-model inference with FIL, and model explainability using GPU-accelerated SHAP The post Implementation of Machine Learning Workflows with NVIDIA cuML, RAPIDS, GPU Benchmarking, Explainability, Clustering, and Model Inference appeared first on MarkTechPost.