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AI News — Daily Top 5

UPDATED 2026-11-03 03:13 PST

2026-10-19 · MONDAY · 21:10 PDT

  1. 1 Mamdani tells New Yorkers an AI takeover is not inevitable and urges them to push back TECHCRUNCH New York Mayor Zohran Mamdani told The People's AI Assembly, an AI Now Institute event in Manhattan, that residents should reject the idea that AI is inevitably coming for their jobs and should demand that AI companies be held accountable. He argued cities have to act because the federal government is doing little to regulate the technology. Mamdani banned AI use in elementary and middle schools last month.
  2. 2 Korean data center firm Elice plunges about a third in its Kosdaq trading debut BLOOMBERG Elice, a South Korean data center infrastructure company, fell about a third on its first day of trading on the Kosdaq, dragged down by concern about the outlook for the industry. It had priced the offering at the top of its range, 90,500 won a share, raising roughly $150 million. It was the first sizeable AI infrastructure listing since peer Firmus canceled its float this month.
  3. 3 Eric Schmidt holds about 1 percent of Anthropic ahead of its IPO, Bloomberg reports BLOOMBERG Former Google chief executive Eric Schmidt owns around 1 percent of Anthropic thanks to an early investment, Bloomberg reports, citing people familiar with the matter. The stake sets him up for one of the largest individual windfalls from the company's imminent stock market debut.
  4. 4 Replika's founder opens Wabi, a messenger-style personal AI assistant, to all users TECHCRUNCH Eugenia Kuyda, who stepped down as Replika's chief executive last year, launched her new startup's assistant Wabi for all users on Monday, free to download. Wabi is a multiplayer personal assistant that works like a messenger app, letting a user keep several agentic threads for different tasks. It enters a field that already includes Muse and Instinct.
  5. 5 Cloudflare's Clef, a 27B multimodal decision model, arrives on Ollama and its cloud OLLAMA BLOG Ollama said Clef, Cloudflare's 27B multimodal decision model, can now be run locally or on Ollama's cloud. Clef turns a state plus a schema of typed questions into typed decisions, reading the input once and scoring every answer at the same time rather than writing a response word by word. It takes text, JSON and image input, is fine-tuned from Qwen3.8-27B and is Apache 2.0 licensed.

2026-10-19 · MONDAY · 18:09 PDT

  1. 1 Four Z.AI founders worked on a joint project with a Chinese institute the UK has flagged over spy ties BLOOMBERG Bloomberg reports that four founders of Z.AI, one of China's most prominent AI companies, worked on research in a joint project with a technology institute the UK government has accused of very strong ties to China's main spy agency. The report is based on publicly available Chinese research papers and a UK espionage alert.
  2. 2 An AI system predicts cancer survival from a single photograph of a patient's face THE GUARDIAN Researchers at Mass General Brigham built an AI system that estimates biological age and predicts survival for cancer patients from a single facial photograph, published in Lancet Digital Health. It was trained on more than 40 million facial photographs. Patients who looked five or more years older than their actual age had a 21 percent higher risk of dying over an average four-year follow-up.
  3. 3 Microsoft launches Guardian Agents to watch the AI agents enterprises deploy TECHCRUNCH Microsoft introduced enterprise security features led by Guardian Agents, which monitor the AI agents a company has deployed. They sit inside Project Perception, the agent security product it launched in June with attacking, detecting and fixing agents. Microsoft's security business chief said frontier models cannot be trusted, because they are unpredictable rather than malicious.
  4. 4 Nscale and Anthropic are in talks over a second compute deal worth about $45 billion BLOOMBERG Nscale is in talks to sell computing power to Anthropic in a deal that could be worth about $45 billion, Bloomberg reports. The two companies announced a compute agreement of the same size in August. Nscale is preparing a US listing and is already facing investor questions over its valuation.
  5. 5 OpenAI targets low-resource programming languages with new software engineering, SQLite and COBOL migration evals OPENAI BLOG OpenAI published a post describing work to improve ChatGPT's coding in low-resource programming languages. The company says it built new evaluations covering software engineering, SQLite and COBOL migration. Such languages are thinly represented in training data, so model quality on them trails the popular ones.

2026-10-19 · MONDAY · 15:10 PDT

  1. 1 Planned fossil fuel generation has gone from 5 percent of new US capacity to 30 percent as demand climbs THE VERGE A report from the Environmental Defense Fund and Atlas Public Policy finds planned fossil fuel projects rose from 5 percent of new US generating capacity in 2024 to 30 percent by the second quarter of 2026, and could reach 70 percent of the development pipeline by 2030. Electricity demand is growing at its fastest pace in more than a decade as data centers, factories and electric vehicles plug into the grid.
  2. 2 An indie studio pulled its Steam Next Fest demo over fears AI tools would clone the game first ARS TECHNICA Alliance Arts delayed the public demo of its game Drunken Goddess Reflex as Steam Next Fest opened, saying the content could be imitated with AI tools and shipped before its own launch, and will now show it only in closed sessions. Ars Technica reports other independent developers have grown wary of showing work in progress for the same reason.
  3. 3 CERN and Mistral sign a statement of intent to build the first foundation model for collider physics CERN · VIA HACKER NEWS · 283 PTS · 53 COMMENTS · DISCUSSION CERN and Mistral signed a statement of intent to form a long-term partnership on foundation models for science. The first target is a single pretrained Large Physics Model trained on billions of simulated proton-proton collisions at the LHC, able to reconstruct collisions, identify particles and flag unexpected signals. CERN has stored about one exabyte of LHC data so far.
  4. 4 Anthropic's Long-Term Benefit Trust can appoint four board members and block corporate actions, the WSJ reports THE WALL STREET JOURNAL · VIA HACKER NEWS · 120 PTS · 82 COMMENTS · DISCUSSION The Wall Street Journal examined the Long-Term Benefit Trust disclosed in Anthropic's IPO documents, which can appoint four board members, block corporate actions and weigh in on issuing debt or selling more than half the company. Its mandate is to steer AI toward humanity's long-term benefit, and trustees serve unpaid. Ben Bernanke and Neil Buddy Shah are among them.
  5. 5 AWS makes Trainium a native PyTorch device, lifting Transformers coverage of top text models to 89 percent HUGGING FACE Hugging Face detailed TorchNeuron, a PyTorch plugin that exposes AWS Trainium as a native device with eager execution, torch.compile and distributed APIs such as FSDP2, replacing the XLA-based Optimum Neuron path. Transformers, Diffusers, Accelerate, PEFT and TRL now run on it directly, covering 89 percent of the 100 most-used text-generation architectures against 46 percent before. A public beta opens October 20.

2026-10-19 · MONDAY · 12:10 PDT

  1. 1 Prosecutors say a Saudi official flew the arrested OpenAI engineer's family out of the US THE NEW YORK TIMES A court filing says a Saudi military official paid for the wife and infant son of the OpenAI engineer charged with planting a hidden recording device to fly out of the United States a day after his arrest, and that the Saudi government offered to cover his bail. The Justice Department cited those ties in urging a federal judge to deny bail and detain him.
  2. 2 Tenstorrent raises $1.5 billion at a $6.2 billion valuation to stay independent TECHCRUNCH Tenstorrent raised $1.5 billion at a $6.2 billion valuation, more than double the $2.6 billion it reached in late 2024, in a round led by Trace Capital and Innovation X with Eclipse, Fidelity, SanDisk and T. Rowe Price joining. The chip startup, led by Jim Keller, says the money will scale inference chips tuned for serving open-weight models and video generation after it drew acquisition interest this year.
  3. 3 Inception releases Mercury 3, a diffusion language model running at about 1,000 tokens a second INCEPTION LABS · VIA HACKER NEWS · 120 PTS · 49 COMMENTS · DISCUSSION Inception released Mercury 3, which it calls the most capable diffusion-based language model shipped so far. The company reports about 1,068 tokens per second on Nvidia GPUs, a 1M-token context window up from 260K in Mercury 2.5, and pricing of $0.20 per million input tokens and $0.70 per million output. It says the model beats GPT-6 Luna and Claude Haiku 5.5 across a range of benchmarks but publishes no scores.
  4. 4 Police say scammers cloned a Florida sheriff's voice with AI and left a voicemail with a resident 404 MEDIA Police in Florida say scammers used AI to clone a sheriff's voice and left a voicemail with a resident impersonating him, pairing the audio with his photograph. A sheriff told a local news station that the call did not come from his colleague. Impersonating a police officer is a third-degree felony in the state.
  5. 5 About 80 WhatsApp help pages exposed the hidden instructions written for Meta's support chatbot WIRED Privacy company Redact found about 80 WhatsApp help and FAQ pages carrying roughly 100 blocks of hidden text written for a Meta language model rather than for readers. The instructions told the chatbot not to cite WhatsApp's terms or privacy policy, not to reference rules such as GDPR even when a user raises them, and not to suggest contacting a data protection authority. Meta removed the text and blamed a bug.

2026-10-19 · MONDAY · 09:09 PDT

  1. 1 inclusionAI open-sources Ming-3.0-audio-flash, a 126B audio-language MoE with 6.5B active parameters HUGGING FACE · VIA R/LOCALLLAMA · DISCUSSION Ant Group's inclusionAI released Ming-3.0-audio-flash, a native audio-language mixture-of-experts model with 126 billion total and 6.5 billion active parameters, under an MIT license. It takes audio alongside text instructions and handles speech recognition, spoken question answering and audio reasoning, optionally replying with synthesized speech in Chinese or English. A smaller tiny version shipped with it.
  2. 2 An Australian institute says AI is accelerating workplace surveillance and wants privacy law exemptions closed THE GUARDIAN A report from the University of Technology Sydney's Human Technology Institute says AI is accelerating workplace monitoring in factories, offices, delivery work and retail, often without staff being told. It cites a supermarket cashier given a final written warning after a system flagged her error rate of one mistake per 533 items scanned. The institute wants privacy protections written into workplace law.
  3. 3 A hacker broke into more than 100 sites with an army of AI agents, hitting John Deere and SharkNinja THE VERGE The AI security firm Norforge says one hacker broke into more than 100 websites using AI agents that mostly operated on their own, run through exposed instances of the open-source Cairn agent platform. Reuters names John Deere, SharkNinja and Cummins among the victims and reports the operator set out intrusion tactics in fewer than 100 Chinese characters, with successful breaches taking about 23 hours.
  4. 4 The US bars civilian federal agencies from DeepSeek and from tools built on its models BLOOMBERG The Trump administration barred civilian US government agencies from using DeepSeek products or services, citing the risk that sensitive data reaches China through the company's operations there. A Homeland Security order issued under the Federal Acquisition Supply Chain Security Act also tells agencies to exclude DeepSeek from procurement and to remove third-party tools built on its models.
  5. 5 A Qwen3-4B fine-tune cuts a slop score from 121 to 12.5 per 1,000 words with no system prompt 100TOOLKIT.COM · VIA HACKER NEWS · 98 PTS · 78 COMMENTS · DISCUSSION Erik Markus Kannike post-trained Qwen3-4B-Instruct on 161 answers using a MacBook Air and released it as qwen3-4b-deslop. On 40 held-out prompts his detector score for stock AI phrasing fell from 121 to 12.5 per 1,000 words and em dashes from 20.5 to zero, while the model still answered 30 of 30 factual questions correctly. He says the voice is flat and it still invents names and places.

2026-10-19 · MONDAY · 06:08 PDT

  1. 1 MiniMax releases M3.1 Flash, the production version of its anonymous Space Bunny model MINIMAX · VIA R/LOCALLLAMA · DISCUSSION MiniMax has rolled out M3.1 Flash and says the anonymous Space Bunny model, which handled more than 200 trillion tokens while unnamed, was an early version of it. The company reports 73.7 percent on DeepSWE v1.1 and 82 percent on CyberGym, prices it at $0.15 per million input tokens and $0.60 output, and puts inference at roughly three times the speed of its predecessor. Weights are to follow.
  2. 2 Democrats weigh making AI oversight their issue if they win Congress in November THE VERGE Polls point to Democrats flipping at least one chamber of Congress in the midterms, which would hand them committee leadership and the power to call AI executives to testify and demand internal documents. Senior members have already signalled interest in data-center tax credits and recent hacking incidents. Strategists quoted say the party has yet to agree on what its AI message should be.
  3. 3 llama.cpp moves llama-server's default port from 8080 to 9931, breaking hardcoded setups R/LOCALLLAMA Users are flagging that llama-server now listens on port 9931 instead of 8080 by default, a change merged on October 9 and shipped in llama.cpp v0.7.0 on October 15. Anyone who never passed an explicit port, or who runs a harness with 8080 written in, has to update on upgrade. The project's Docker images keep 8080 inside the container to avoid breaking tools built on the base image.
  4. 4 Accounts registered as 13-year-olds downloaded 135 nudify apps from Apple and Google stores THE GUARDIAN The Tech Transparency Project set up four test accounts, two Apple and two Google, listing the holder as 13 years old, then searched the stores for terms such as "AI video generator". The researchers downloaded 135 apps able to strip clothes from images or paste faces onto nude bodies, testing on AI-generated figures rather than real people. The report was shared with the Guardian and released Monday.
  5. 5 A DFlash 2 draft model speeds up Qwen3.8-Flash-Next by up to 1.82x without changing its output HUGGING FACE · VIA R/LOCALLLAMA · DISCUSSION Inco AI has published a DFlash 2 draft model for Qwen3.8-Flash-Next, a block-diffusion drafter that proposes a whole block of tokens per pass and runs inside an SGLang speculative decoding server. On one GB300 at concurrency 1 it reports 1.63x to 1.82x over plain autoregressive decoding, against 1.35x to 1.59x for the model's built-in MTP, with greedy output said to match the target model exactly.

2026-10-19 · MONDAY · 03:08 PDT

  1. 1 An open leaderboard finds labs' own benchmark scores average 6.4 percent above independent tests WHATMODEL.SH · VIA R/LOCALLLAMA · DISCUSSION The open-source project whatmodel.sh matched 611 cases where a maker and an independent tester ran the same model on the same benchmark, across 180 models and 103 tests, and found lab scores average 6.4 percent higher. The median gap is 1.2 percent, and the lab figure is higher 63 percent of the time when the two differ. The author notes test settings often differ, so the gaps are not all inflation.
  2. 2 MIT researchers left copies of Claude alone on a virtual island and watched them start to play MIT TECH REVIEW MIT CSAIL researchers left copies of Claude Opus 4.7 alone for 30 hours in a Roblox-like island world with no instructions and no rewards, and the agents set their own goals and invented games, from block drawings of constellations to a version of the floor is lava. Agents that had played then scored better on set tasks, and deleting lines from their memory files hurt performance. The paper is not yet peer reviewed.
  3. 3 Court filings show Disney required Character.AI's bankruptcy as a condition of its asset deal WIRED Wired reports that court filings show Disney required its Character.AI deal be completed through bankruptcy, citing the startup's shrinking cash and litigation risk. Disney paid $5.5 million plus a $2 million refundable deposit in September, hired most of the staff, and now seeks a perpetual worldwide license to much of the code, including the trust and safety stack. What remains keeps the lawsuits.
  4. 4 Elice's Kosdaq debut will test Korean appetite for AI data center listings after Firmus pulled out BLOOMBERG Data center infrastructure company Elice is set to debut on South Korea's Kosdaq market on Tuesday, the first sizeable AI infrastructure listing since peer Firmus canceled its float this month. Elice priced the offering at the top of its range, 90,500 won a share, raising about 201 billion won, or roughly $150 million, for regional edge AI data centers. It is a read on investor appetite after weeks of AI selling.
  5. 5 Nace.ai open-sources Kapitsa, an Apple Silicon inference engine built only for Qwen and Nemotron GITHUB · VIA R/LOCALLLAMA · DISCUSSION Nace.ai released Kapitsa under Apache 2.0, a Metal inference engine that runs only Qwen and Nvidia Nemotron models so its kernels can be tuned per model family. The team's own figures put Qwen3.8 27B at 63 tokens a second on a 48GB M4 Pro against 45 for oMLX and 28 for llama.cpp, with Qwen3.8 Flash-Next the one model where rivals stay a few percent ahead. A bundled benchmark command lets users check the claims.

2026-10-19 · MONDAY · 00:12 PDT

  1. 1 SteerTTS is a 23M-parameter English voice model steered by 12 numeric controls R/MACHINELEARNING A developer released SteerTTS, a 23 million-parameter English text-to-speech stack that takes 12 controls as z-scores against a voice's own neutral speech, with 51 style tags and 2,825 built-in voices. Self-run tests put it near 1.8 percent word error rate on Open TTS Leaderboard English sets, at 4 to 8 times real time on CPU. The author says the pause, voicing and cloning controls are weak.
  2. 2 Artificial Analysis scores DeepSeek V4.1 Flash 1017 at max reasoning effort 45 on its Intelligence Index ARTIFICIAL ANALYSIS · VIA HACKER NEWS · 100 PTS · 31 COMMENTS · DISCUSSION Artificial Analysis published its own evaluation of DeepSeek V4.1 Flash 1017 at maximum reasoning effort, scoring it 45 on the Artificial Analysis Intelligence Index against a median of 19 for comparable models. It measures 230 output tokens a second and $0.26 per index task, at $0.30 per million input and $1.20 per million output tokens. The index run was very verbose: 210M output tokens against a 140M median.
  3. 3 Cajal-1 predicts whole-cortex fMRI responses to any video and edges out Meta's TRIBE v2 HUGGING FACE · VIA R/MACHINELEARNING · DISCUSSION Cajal-1, a 218.8 million-parameter causal transformer, predicts fMRI activity at 20,484 points on the human cortex every 1.49 seconds for any video with sound, after training on about 3,100 recordings of people watching films and listening to stories. On TRIBE v2's held-out movie10 segments it scores 0.183 to TRIBE v2's 0.157 at parcel level, ahead in 27 of 32 runs. Weights and a Colab demo are public.
  4. 4 A self-play agent wins about nine games in ten against Warcraft III's insane built-in AI WARLOCK.AI · VIA R/MACHINELEARNING · DISCUSSION Robin Kahlow trained a reinforcement learning agent to play full games of Warcraft III on Echo Isles, moving from losses against the easy built-in AI to an 89 percent win rate against its hardest level, insane, in three weeks. It learned from self-play, behavioral cloning and a curriculum over 840,000 games on one RTX 3090 and 16 CPU cores. DeepMind's AlphaStar trained 12 agents on 32 TPUs each for 44 days.
  5. 5 Anthropic embeds six METR staff with internal access on par with its own risk assessment teams ARS TECHNICA Anthropic has given the nonprofit evaluator METR employee-like access to assess its models, onboarding six METR staff with company hardware, office space and internal tools roughly on par with its own risk assessment teams. METR can publish its findings without Anthropic's approval, though the company can require redactions for customer data, privilege or model architectures. Anthropic is not paying METR.