AI assistant startup Town nabbed a unicorn valuation on Monday, announcing a $108 million Series B round co-led by Forerunner Ventures and Menlo Ventures.
Using a system called BootLoops, scientists produced 36 papers in three months. Paired with experts, the tool could pollinate ideas across fields. The post New AI Tool Could Help Scientists Make ‘Rare’ Cross-Disciplinary Leaps appeared first on SingularityHub .
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<!-- SC_OFF --><div class="md"><p>I've been using AI extensively for ML research, and I've noticed a bottleneck: brainstorming research directions and generating smoke run implementations has become incredibly fast, but actually testing those ideas hasn't.</p> <p>A single AI discussion (eg asking it to review 30 papers I had in my reading list, audit them, check for ideas related to the status of my project) branched into dozens of promising approaches, and with coding agents, exploring them in
As robotics systems grow more capable — faster, more precise, and increasingly reliant on AI-driven vision and control — the humble interconnect is being asked to do more than ever. The post Unleash AI Innovation: The Power of NVIDIA RTX PRO 6000 Blackwell Workstation Edition Fueled by PNY-Supplied GPUs appeared first on The Robot Report .
Article URL: https://www.inceptionlabs.ai/blog/introducing-mercury-3 Comments URL: https://news.ycombinator.com/item?id=50155245 Points: 219 # Comments: 85
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I'm building a platform that requires users to go through a selfie-based verification process before they can access certain features. Currently, I'm using the ChatGPT API to analyze selfies and estimate the person's age and apparent gender. The results have been surprisingly good for my use case, but the API costs are becoming too high as I think about scaling. I'm wondering if there are more affordable alternatives that offer reasonably reliable results. For those who have built similar verifi
<!-- SC_OFF --><div class="md"><p>Came across this today and haven't seen it discussed here yet. It's apparently a new type of model (called Maxwell) that sits under a running program and speeds it up on the fly based on what it sees (hardware and data). The cool thing is that it doesn't change the source code, but instead it modifies the binaries (during runtime!). So kind of like a JIT, except it's a model working out what to change instead of a fixed set of compiler heuristics.</p> <p>What go
The company is connecting tactile sensing, real-world data collection, simulation, and AI models to help robots perform physical tasks more reliably. The post Daimon Robotics building the infrastructure layer for tactile intelligence appeared first on The Robot Report .
NVIDIA CUDA Tile (cuTile) is a Python-based DSL and parallel programming model for NVIDIA GPUs that automatically leverages advanced hardware capabilities to...
Delayed Steam Next Fest demo is a sign of a growing problem for indie devs.
TwelveLabs Pegasus 1.5 is now available in Amazon Bedrock. The video language model turns long-form video into structured, timestamped metadata: define the moments that matter and get every matching segment back as JSON, with new video segmentation, multimodal prompting with reference images, and on-the-fly processing of up to two hours of video.
Deepgram worked with the AWS Forward Deployed Engineering team to port its Nova-3 speech-to-text model to AWS Trainium2 for offline batch inference. This post covers porting to the AWS Neuron stack, kernel-level tuning, a data-parallel Rust runtime, and the throughput and cost results on batch transcription.
Fed up with ads, tracking, and sluggish interfaces, some smart TV owners are turning to AI agents to strip away bloatware and take back control of their TVs.
But learns tough lessons about AI in the process
There are stock market mechanisms that, if used with enough whales pulling the same chariot, will result in massive gains even though the user base consists exclusively of bots using the companies' credit cards. Not too long ago, it was just a circle jerk marketing trick like rolling back the mileage of a car is, but then crypto currencies came around the corner and the whole scheme became incredibly profitable. AI agents, impersonating humans or not are about to make that scheme even more profi
vLLM's prefill-decode disaggregation splits LLM inference across engine instances but must transfer the KV cache between them. This post introduces a push-based NIXL connector that moves transfer coordination off the critical path, delivering up to 3x better TTFT and 30% better TPOT in benchmarks on Amazon EC2 P5en instances with AWS EFA.
Multi-turn agentic workloads reprocess growing conversation context each turn, driving up latency. See how bi-directional KV cache transfer lets prefill and decode nodes reuse previously computed context across turns, cutting time to first token by up to 1.6x for Qwen3-32B and 3.3x for GLM-5-FP8 on Amazon EC2 P5en instances with EFA.
Generative Recommenders (GenRecs) represent a paradigm shift from scoring every ad to reasoning about ad content and user preferences together in order to predict the best outcome for advertisers. Leveraging the world knowledge built into LLMs makes ad matching more intelligent and precise, compounding gains for advertisers. GenRecs Tokenization is the foundational data representation that [...] Read More... The post GenRecs Tokenization: Transforming Ads Recommendation at Meta with Stable Model
Hi HN, we’re Robert and Din from Laminar ( https://laminar.sh ). We’ve been building open-source observability for AI agents since 2024. Recently, we released flow-1, a model trained with RL to find errors in agent traces. On our benchmark ( https://laminar.sh/blog/flow-1 ), it matches GPT-6-sol in detection quality while being 23x cheaper. This makes it affordable to analyze every production agent trace, without sampling. Here’s a one-minute walkthrough: https://youtu.be/KJa3h6ZJNLQ We also put
Around 80 pages on WhatsApp’s website exposed instructions that were designed for its chatbot, including “WHAT NOT TO SAY.” Meta says a bug caused the issue.
Claude Haiku 5.5 cuts list prices by 90% and adds adaptive thinking and a 1M token context window. Learn what broke from Haiku 4.5, and build classification, extraction, and sub-agent workflows in Python using the new API.
Kodama is working on automating forestry and logging equipment, starting with teleoperation and collecting valuable data on the way. The post Kodama raises $7M to bring robotics to forestry appeared first on The Robot Report .
With Helion’s release last year, it aimed at enabling developers to write GPU kernels in PyTorch-native Python and let its powerful autotuner do the work that used to require hand-written... The post One Search, Two Layers: Compiler Controls Inside PyTorch Helion using NVIDIA CompileIQ appeared first on PyTorch .
Unlike other recent AI proofs, this one has been unpacked by human experts. The implications, one mathematician said, are “staggering.” The post AI Proved the Quasi-Riemann Hypothesis. What Happens Now? first appeared on Quanta Magazine
https://www.minimax.io/blog/minimax-m31f The domain appears to be shadowbanned on Hacker News and this is a major model release that multiple people have tried to submit, so working around that. Comments URL: https://news.ycombinator.com/item?id=50153759 Points: 8 # Comments: 1
Nvidia is leaning hard into the trend of enterprise companies wanting to run their own open models in their own data centers and also trying to make on-device, private AI agents a thing.
Sometimes, giving an AI agent all of the knowledge it needs is the wrong approach. At Meta, we’ve seen notable improvements in efficiency and accuracy by keeping the orchestration layer of our data pipeline agents deliberately thin: It routes work and enforces reliability checks, while specialized agents do the domain reasoning. We’re sharing our own [...] Read More... The post The Thin Orchestrator: How We Made Our AI Agents More Reliable by Giving the Router Less to Do appeared first on Engine
A million-token output window changes what you can hand a model in one go, and the benchmarks and the bill show who it actually suits. The post Welcome to Google Gemini 4 Argon appeared first on Towards Data Science .
Article URL: https://home.cern/cern-and-mistral-join-forces-to-accelerate-ai-for-science/ Comments URL: https://news.ycombinator.com/item?id=50153630 Points: 315 # Comments: 57
I made a post on the monthly Who's Hiring thread, and since then I've been inundated by spammy AI slop messages of people pitching their vibe coded job search platforms. It's junk mail to the point that I probably won't post on a Who's Hiring thread again. I'm looking for real opportunities, not to sign up for yet another person's dead end job search platform. I'm just curious if other HN folks have had the same experience recently? Here's the email I just got today: > I'm Kelvin — I run Loker D
I keep going back and forth on this. Traces and logs tell me what the agent did: every tool call, retry, token, and step. That's useful when something breaks. What I'm less sure about is whether that tells me the agent actually did the right thing. A run can look clean and still miss what I wanted. Or it can "finish" without the outcome really being done. So finished and succeeded aren't the same thing. I haven't made up my mind how to check for that, but I'm experimenting a lot with extracting
At a creative industry event that took place today in Berlin — hosted in collaboration with Adobe, Bertelsmann, NVIDIA and UFA — the latest advancements in intelligent media were on display. Key to the news: the European Broadcasting Union (EBU) is collaborating with NVIDIA to expand its sovereign framework with cloud, open models and integration […]
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Character.AI faces claims its bots encouraged minors to self-harm and kill their parents.
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Today, I’m talking with Illinois Gov. JB Pritzker, who has a lot of thoughts about AI, tech, and privacy. If you’ve been listening to the show, you know that one of my running theories is that those issues are driving a big and maybe kind of unexpected political realignment — and with the midterms coming […]
Essential tips and ideas for building an AI-powered PC on your own.
