BloggTechCrunch AI
Nirva raises $33M for a pendant that only listens to you
Nirva will ship its $249 ambient AI pendant by the end of the year.
22 okt. techcrunch.com
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22 oktober 2026
BloggTechCrunch AI
DeepSeek reportedly raises $15B days after US restrictions
DeepSeek has reportedly raised $15 billion in one of China's largest funding rounds, just days after the US ordered federal agencies to remove its technology over national security concerns.
22 okt. techcrunch.com
TelegramTechmeme
1Password passes $500M in ARR, up from $400M in November 2025, driven by enterprise AI coding assistants and agents, and announces 1Password for Agents
And the free cash flow margin is in the double digits amid an explosion in coding assistants and agents in enterprise settings
22 okt. wsj.com
TelegramTechmeme
Enact, which develops full-stack tech for general-purpose robots, emerges from stealth with a $30M pre-seed from Mistral CEO Arthur Mensch, Yann LeCun, and more
Enact Intelligence is building the underlying tech for general purpose robots. — Swiss robotics startup Enact Intelligence …
22 okt. tech.eu
TelegramTechmeme
How the AI boom is boosting paint maker PPG's sales: its specialized gray coatings serve critical functional needs and total $3M to $8M per data center, per JLL
Tech companies are painting data centers with gray coatings on top of gray concrete and steel to resist fire, rust and static electricity.
22 okt. nytimes.com
VideoNate Herk
This AI Gives Every Shopper a Different Popup
This AI shows every shopper a different popup and keeps optimizing for revenue, right before Black Friday. Book a demo and mention Nate Herk for a 30 day free trial: https://hubs.la/Q04yvprG0 #ad
22 okt. youtube.com
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Hugging Face releases Carbon-X, an open-source, 14B-parameter multimodal AI model to let users query DNA sequences via natural language, trained on 300B tokens
The new open-source model speaks the language of DNA and can help researchers understand the effects of any changes on gene activity and health.
22 okt. wired.com
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Palantir says that neither the company nor the US government has a “kill switch” for its Maven platform that NATO uses, after Ukraine's Starlink disruptions
US software company Palantir (PLTR.O) sought to reassure Europeans that its military AI system used by NATO has no …
22 okt. reuters.com
TelegramTechmeme
A look at Huawei and DeepSeek's mutual reliance, where Huawei provides compute hardware while DeepSeek contributes model workloads and kernel optimization
Huawei Ascend 950PR Deep dive & µbenchmarks, DSv4.1 Flash Analysis, DeepSeek support for Ascend, AICPU, Tilelang Ascend
22 okt. newsletter.semianalysis.com
TelegramTechmeme
Barclays plans to cut 5,000 jobs, or ~5% of its workforce, by the end of 2026 as part of AI-driven cost cutting, with ~60% coming from support and developers
Barclays to Cut 5,000 Jobs as AI Starts to Create Efficiency — Video Player is loading. — Unmute — Current Time 0:00 Loaded: 69.77% Playback Rate
22 okt. bloomberg.com
VideoAI Engineer
1,368 AI Failures and What They Teach About Evals — Vishal Srivastava & Tanmay Sah, New York Life
Vishal Srivastava and Tanmay Sah studied 1,368 incidents from a public AI incident database to ask what real failures say about how AI systems should be tested. They sort failures across three areas (technical strength, deployment controls and business impact) and 13 sub-areas that cover about 98% of incidents. Weak deployment controls, such as human review and monitoring, are the most closely tied to harm. They show how to rank use cases by how much is at stake, why the evaluator itself needs checking, and a build-break-fix loop that tries to prove a system wrong instead of right, applied to a real airline chatbot that gave a customer the wrong refund policy. Chapters: - 00:00 Intro - 00:41 AI failures are rising fast - 01:35 Three dimensions of failure - 03:34 13 sub-dimensions - 06:09 What covers 98% of failures - 07:12 Which failures cause the most harm - 09:43 Ranking use cases by materiality - 10:43 Breaking risk into four parts - 11:40 What to test in an agentic system - 13:14 Can you trust the evaluator?
22 okt. youtube.com
PoddPractical AI
Exploit Development, Agentic Vulnerability Discovery, and Fake PoCs
AI is changing cybersecurity, accelerating vulnerability research and exploit development while raising new questions about reliability, risk, and guardrails. Daniel and Chris talk with Spencer McIntyre, Director of Exploit Development at VulnCheck, about how agents are being used to discover vulnerabilities, why many proof-of-concept exploits (POCs) fail to deliver, and how initial access intelligence helps security teams prioritize real threats. They also explore the limitations of AI-assisted exploitation, the challenges of AI guardrails for security researchers, and what these developments mean for the future of threat intelligence.Featuring: Spencer McIntyre – LinkedInDaniel Whitenack – Website, GitHub, XChris Benson – Website, LinkedIn, Bluesky, GitHub, XLinks:VulnCheckGo Exploit frameworkInitial Access IntelligenceSponsors:Hostinger: Create your website today.
22 okt. share.transistor.fm
VideoAI Engineer
How to Test AI Agents When No Benchmark Exists — Nathanael Weill, Air Canada
Nathanael Weill leads a team building AI agents at Air Canada, where tasks are so specific there's no public benchmark and domain experts have little time to grade results. His fix is to write the answer first: start from a known answer, generate the input from it, and check whether the agent finds its way back. He shows how that took a past RAG project from one expert-graded test a week to dozens of automated tests a day, then applies it to a supplier-contract review agent with five ways to build a test set: past decisions, planted rule violations, removed clauses, changes that shouldn't matter, and contract templates with filled-in blanks. He also explains why he avoids LLM judges whenever code can check the answer.
22 okt. youtube.com
BloggHugging Face
Ensemble forecasting with IBM Granite time-series models
A Blog post by IBM Research on Hugging Face
22 okt. huggingface.co
TelegramTechmeme
How AI is an inherently imperial technology, and how the US and China are building rival “AI empires” with different approaches to extend their power
The Rise and Fall of a New Global Order — In the span of a few years, China and the United States have each assembled …
22 okt. foreignaffairs.com
VideoAI Engineer
Why AI Writing Still Reads Like Slop — Louis-François Bouchard, Towards AI
Louis-François Bouchard of Towards AI breaks down what makes AI writing feel like slop: overused words, vague generalities, saying nothing, repetition, hallucination and a voice that sounds like everyone at once. He then shows how his team built a benchmark to measure whether a model can write a video script in his own voice: 10 scripts, 5 drafts per model, 4 LLM judges, nine scoring metrics and 1,000 human A/B checks. He shares what it cost, why judges favor their own model family, and practical tips for writing with AI: very long prompts full of examples, one review pass from a strong model, many cheap drafts merged together, and always a human edit. Chapters: - 00:00 What is slop? - 02:41 Measuring sloppy writing - 03:49 Why build another benchmark - 05:44 Can a model write like me?
22 okt. youtube.com
TelegramTechmeme
Pressure to back promising AI startups is upending the VC investment process, with investors willing to buy into the same round at rapidly escalating valuations
Venture capitalists are fighting to invest in AI startup Emulate, driving its valuation into the billions …
22 okt. bloomberg.com
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Microsoft says China-linked hackers used AI penetration testing tool ARTEX to compromise ConnectWise as part of a campaign targeting hundreds of organizations
A Chinese state-aligned hacking group used an AI-driven penetration testing tool to compromise IT services firm ConnectWise as part …
22 okt. reuters.com
BloggOpenAI
What FDE means at OpenAI
What forward deployed engineering means at OpenAI
22 okt. openai.com
BloggNVIDIA
Leading European Financial Services Organizations Embrace Open Models to Build Proprietary Intelligence
At GTC Berlin, banks, payment companies and financial data providers are showing what production-scale intelligence looks like — built on NVIDIA accelerated computing, powered by open weight models and running on their own infrastructure. Revolut is rebuilding its technology stack on a single foundation model PRAGMA, powered by NVIDIA accelerated computing. Using the NVIDIA cuDF toolkit and Dynamo-Triton software on NVIDIA Blackwell Ultra GPUs, Revolut is scaling PRAGMA in production, servicing an initial 80 million customers and engineered to scale 3x. “Revolut processes billions of transactions — the opportunity was always there, but the question was whether foundation models could operate at that scale and across domains. PRAGMA answers that,” said Pavel Nesterov, head of AI at Revolut. “Built in collaboration with NVIDIA, it’s the clearest proof yet that the gap between a research breakthrough and a production banking system can be closed.” Read All NVIDIA in Europe Announcements Training on Accelerated Infrastructure Starling Bank, the first bank to train an agentic model on U.K.
22 okt. blogs.nvidia.com
