All AI news

AIRyanSerhant just dropped a second Instagram page - this one is 100% AI-generated content with a HeyGen avatar of himself in different outfits. Love the transparency of it (rather than hiding its AI), and I think it’s smart to create a completely separate channel. If you have someone in your life that doubts the quality of AI avatars today, show them this new Instagram page.

AIMath no longer exists (or the god of math has already been born) Then what will mathematicians do next? And what about math students?

AIA Kyndryl survey of 2,000 senior IT decision-makers found only 10% are applying agentic AI as a modernization tool, and nearly half report being behind schedule with cost overruns. Researchers say agentic AI shows early promise for mapping hidden dependencies, generating code, and creating documentation, while Andy Thurai, a former IBM chief strategist, warns that AI-driven infrastructure sprawl could make compute costs unpredictable.

AISemiAnalysis argues that many businesses, especially low-margin ones, are offloading simpler software and white-collar tasks to increasingly capable open-source models. It frames the durability of frontier labs as depending on whether new tasks enabled by smarter frontier intelligence will outgrow the work moved to cheaper models. The post asks whether an economy could absorb 100 million superintelligent PhD-level experts quickly while still earning high ROI.

AIThe author argues that agents working across a company fail because they lack the decisions and context recorded in threads, meetings, and DMs, not because the model is weak. The approach stores distilled claims with source evidence and time, never overwrites facts, labels missing information explicitly, and resolves permissions before the model runs. The report cites results on LongMemEval, including 99.8% top-ten evidence recall and $8.24 ingestion cost, and says an open-weight model can match frontier extraction quality.

AITeamily AI now lets users add people and AI agents to the same group chat, so everyone works from shared context. The example shows a branding change handled by research, writing, and website-building agents, with a designer's feedback incorporated and the finished page shared in one continuous conversation. The platform's 2.0 release, which the post describes as opening to everyone, adds real-time human–agent collaboration and multi-model routing.

AIAI-native tools are removing the data bottleneck that long constrained CFOs, shifting the role toward designing the operating systems that turn data into decisions. Finance teams are adopting AI-native software for ERP, forecasting, procurement, and audit, and "finance engineers" are building custom automations and agents. OpenAI's CFO Sarah Friar describes finance moving toward a zero-day close and continuously updated forecasts.

AIYoshua Bengio, co-president of LawZero, writes to researchers urging those who prioritize safety to leave frontier AI companies for safety institutes or mission-driven organizations. He argues that safety efforts at the labs are not sufficiently slowing a dangerous race toward recursive self-improvement, and cites LawZero's recent C$200 million-plus funding from Canada and Germany as an alternative path.

AIMeta's Muse and OpenAI's Dots are always-on AI agents with animated mascots, pitched to consumers and businesses for tasks like restaurant reservations and inbox triage. Muse is free, while Dots is not, and OpenAI also offers "specialist" Dots for marketing, legal work, and accounting. The discussion centers on privacy and security concerns about giving agents access to credit card details and email.

AIEthereum researcher Justin Drake warned on X that AI-assisted math could, in the worst case, break the signature system used by crypto wallets within months, and urged a "bunker mode" in which users move funds to addresses that have never signed a transaction. Vitalik Buterin agreed but cautioned against moving too fast, saying he has lost more money to botched migrations than to hacks. No one has yet broken the current ECDSA signature scheme in practice.

AIhaiku 5.5 this pricing is so bizarre Who charges 5x directly once it exceeds 100k...

AIFrom @samnewman: "AI was supposed to free us from drudgery. It isn't for most software developers because we're doing more work, we've got more context switching going on."

AIAllie K. Miller argues that AI's value is low leverage if it depends on others not using AI, citing inbox triage and social commenting as examples that break at scale. She proposes a test: whether a use case still creates value when everyone adapts, which she frames as finding the Nash equilibrium of AI usage.

AIDefenders can’t learn from what they can’t see. If you have traces and are being pressured to keep them private, my DMs are open. Let’s level the playing field and fight the asymmetry and lack of transparency in AI!

AIYes, open models are being fitted to be used by some attackers, but so long as Claude Code can be the orchestrator of a hack we desperately need open models to diffuse defense as well. A hard balance societally to stomach, but needed.

AIEthan Mollick argues that organizations such as universities and Walmart already act as narrow superintelligences, doing things no single human can through complex processes no one explicitly designed. He contends that failing to design how AI works alongside these existing organizational systems is a major reason AI's high capability has not yet produced large gains in scientific discovery or economic productivity.

AI…of true agents last fall Partially that is newness & partially research design challenges, but I suspect we are missing some large effects.

AIBy the way, could Grok Bot's model already be Opus 5.5? It works remarkably well on complex tasks.

AIDecision models are small systems built to make fast semantic judgments, such as routing support tickets or deciding whether to escalate, without the cost of a full reasoning model. The article says Amazon, Cloudflare, and OpenAI are competing in this space, with cost economics as a central concern.

AI…throwing punches at one another

AIWall Street is increasingly letting AI agents interpret market information, so a bad source or missing context can spread into real-world decisions before anyone detects the error. The source article does not identify specific models, products, or institutions.

AIOpenAI CEO Sam Altman told Politico that the world should accept some bad things from AI for its benefits, a stance columnist Moustafa Bayoumi calls problematic. The column cites lawsuits over ChatGPT-linked suicides, a February strike on a Minab school that killed at least 120 children with a US military AI system (Palantir's Maven) implicated, and a chatbot error that nearly triggered a military interception.

AIStratechery interviews former Facebook Head of Global Elections Katie Harbath about her new book, Disrupting Politics, and how the company changed during the 2010s. The source text is limited to the interview description and subscription boilerplate, so no further details are available.

AIAlibaba's official handbook on AI Native R&D identifies four open challenges: infrastructure engineering complexity, enterprise knowledge assets not yet agent-friendly, organizational design, and the pace of AI iteration. The post's author argues that Agent Infra must suit non-deterministic agent operation and that enterprise knowledge needs top-down structuring and governance. The author also notes that organizational resistance in large companies makes AI adoption harder than in startups.

AI怎么这么多精神 Anthropic 公司人 我发这个信息说了句降价，这个定价专门用来狙击国产模型，说了句恶心，一堆人来骂 好像这模型一便宜就忘了 Anthropic 之前干过啥了 Why are there so many Anthropic people (defenders) here? I posted a message saying just one thing—a price cut—and said this pricing is specifically meant to snipe domestic Chinese models, and that it's disgusting. A bunch of people came to attack me. Seems like once the model gets cheap, people forget what Anthropic did before.

AIResearchers at robotics labs say that AI advances behind chatbots like ChatGPT and Claude will not quickly produce robots that are useful in everyday life. Many skeptics argue that using language- and image-based intelligence to master the physical world is far harder than it sounds, despite bold predictions from Elon Musk about Tesla's Optimus. Progress is real but incremental, as shown by Google DeepMind's Gemini Robotics controlling ALOHA 2 arms to pack a lunchbox.

AI…language. Lucas full circle!

AI…drain your wallet; or someone kidnapping you and forcing you to hand over your keys would drain your wallet Or you can just not hold crypto

AIAVEVA chief technologist Arti Garg argues industrial AI should augment rather than replace human supervisors in critical decisions, with guardrails defining where automated systems can act. She says organizations must rethink business processes and safeguards as foundation models, physical AI, and agentic AI enable more complex automation.

AI…found out that I've been banned. I don't have the slightest clue what is going on, I've had my Uber account for 15+ years.” ML systems + being a large company… and Uber doesn’t need your business anymore It’s frustrating and happens all the time

AIThe fourth installment of the "Carbon-Silicon Doctrine: Cross-Domain Migration Governance Code" series proposes a risk-grading baseline for industry deployment. It rates risk as the highest of three dimensions (reversibility, scope of impact, and autonomy level), classifying migrations as absolutely prohibited, restricted with human review, or compliant with logging. The article also sets domain-specific red lines for medicine, finance, education, judiciary, government, and media.

AIThe third installment of a seven-layer governance series, "Migration Rights Confirmation Layer," proposes a framework for assigning ownership and identifying boundary violations in cross-domain knowledge transfer. It introduces the KP (Knowledge Package) as the minimal rights unit, a three-tier classification of transferable, restricted, and prohibited migration, and divides responsibility among developers, migrators, deployers, and auditors. The article does not state independent evaluation, adoption, or measured results.

AIThis second installment of the Carbon-Silicon Dao Code series defines four types of negative transfer in cross-domain AI: NT1 mechanism mismatch, NT2 semantic drift, NT3 unknown completion, and NT4 power leakage. It argues that current evaluation based on fit accuracy and test-set pass rates cannot detect whether the underlying mechanisms match. The article is a Chinese-language theoretical and governance piece, and the summary covers only the framework it presents, not empirical results.

AILeiphone publishes the table of contents for "Carbon-Silicon Dao Code: Cross-Domain Transfer Governance Code," a seven-layer framework covering 188 numbered chapters. The outline spans transfer accident analysis, technical mechanisms, rights assignment, industry governance, top-level regulation, civilization-scale risk control, and final codification, with a baseline entry labeled NT1–NT4 negative-transfer categories.

AINathan Benaich's 9th annual State of AI Report covers agents, robotics, AI for science, inference economics, and government control over frontier AI access. The report also records a 2025 prediction scorecard and lists nine predictions for the next 12 months. It cites an OpenAI cyber evaluation in which agents compromised Hugging Face's production infrastructure, and it says Anthropic and OpenAI's combined annualized revenue run rate reached $105B by late summer.

AIMid-singularity crisis

AIVery likely more than 1 data co has recently hit that mark, many of which are on Pavlov’s List. Many more will get there in the next 6mos. Total data spend is >$15B.

AIBut my sources tell me that the AI cos have now started, gingerly and discreetly, investigating whether their latest internal models can break important cryptographic protocols and primitives.” - Scott Aaronson, CS chair at UT Austin