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Agents

30 Months on the Exponential (in Charts)

My new book is out today... what happened since the last one

One Useful ThingSource content · Analysis pending30 Months on the Exponential (in Charts)

How Eon built multi-cloud investigation with an MCP Gateway on Amazon Bedrock AgentCore

Learn how Eon replaced per-tool credentials and local MCP processes across AWS, GCP, and Azure with a single authenticated Amazon Bedrock AgentCore gateway, giving more than 100 developers and autonomous agents unified access to production investigation and cutting new-engineer onboarding from two days to two minutes.

AWS Machine Learning BlogSource content · Analysis pendingHow Eon built multi-cloud investigation with an MCP Gateway on Amazon Bedrock AgentCore

Build a semantic layer for agentic AI on AWS with Denodo and Amazon Bedrock AgentCore

Build a governed semantic layer for agentic AI on AWS with the Denodo Platform and Amazon Bedrock AgentCore. It federates Amazon Aurora, Amazon Redshift, and an on-premises PostgreSQL database into a single customer 360 view an agent queries in VQL, with identity propagation and row- and column-level access control enforced at the semantic layer.

AWS Machine Learning BlogSource content · Analysis pendingBuild a semantic layer for agentic AI on AWS with Denodo and Amazon Bedrock AgentCore

Build a semantic layer for agentic AI on AWS with Strategy Mosaic and Amazon Bedrock AgentCore

The third post in our semantic-layer series builds a customer 360 across Amazon Redshift and Amazon Aurora with Strategy Mosaic, exposes it to a Strands agent on Amazon Bedrock AgentCore through the Mosaic MCP server, and enforces per-user row and column security end-to-end.

AWS Machine Learning BlogSource content · Analysis pendingBuild a semantic layer for agentic AI on AWS with Strategy Mosaic and Amazon Bedrock AgentCore

Build a semantic layer for agentic AI on AWS with AtScale and Amazon Bedrock AgentCore

The third post in our semantic-layer series builds a governed customer 360 model on Amazon Redshift with AtScale, then exposes it to a Strands agent on Amazon Bedrock AgentCore through the AtScale MCP server. Identity propagation, RBAC, row security, and full query audit are enforced at the semantic layer, not the prompt.

AWS Machine Learning BlogSource content · Analysis pendingBuild a semantic layer for agentic AI on AWS with AtScale and Amazon Bedrock AgentCore

ElevenLabs Realtime

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Product Hunt AISource content · Analysis pendingElevenLabs Realtime

PrivOS

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Product Hunt AISource content · Analysis pendingPrivOS

European Leaders Turn to NVIDIA Vera CPUs to Build Local Infrastructure

Nebius and Nscale are among global technology partners looking to NVIDIA Vera CPUs to build the next wave of infrastructure. Their momentum reflects rapid advancements in agentic computing. Agents do more than generate answers: they retrieve information, run software tools, execute code and evaluate results. Each step depends on fast CPU processing. Vera accelerates that […]

NVIDIA BlogSource content · Analysis pendingEuropean Leaders Turn to NVIDIA Vera CPUs to Build Local Infrastructure

Franchisee reconciles cash in 94% less time with ChatGPT Work

An independent Schlotzsky’s and Cinnabon franchisee cut menu repricing time by 95% and built a workflow that could free up $100K in cash flow.

OpenAI NewsSource content · Analysis pendingFranchisee reconciles cash in 94% less time with ChatGPT Work

The Brains

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Product Hunt AISource content · Analysis pendingThe Brains

Lugh Xtudio

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Product Hunt AISource content · Analysis pendingLugh Xtudio

Serverless routing made sticky

Voice agents, multiplayer games, and other workloads can now build on Sticky Sessions. Achieve strong affinity without losing autoscaling. Here’s how we built this on Modal Servers.

Modal BlogSource content · Analysis pendingServerless routing made sticky

OpenAI acquires Orchestra Bio

OpenAI is acquiring Orchestra Bio to bring AI-powered operations to life sciences R&D, helping biopharma teams accelerate drug development and advance new treatments.

OpenAI NewsSource content · Analysis pendingOpenAI acquires Orchestra Bio

Structured outputs for Anthropic Claude models on Amazon Bedrock

Amazon Bedrock now supports structured outputs for all Anthropic Claude models on both the bedrock-runtime and bedrock-mantle endpoints. Receive schema-compliant JSON that conforms to a defined structure, without custom parsing, retry logic, or post-processing, using JSON Schema output format and strict tool use.

AWS Machine Learning BlogSource content · Analysis pendingStructured outputs for Anthropic Claude models on Amazon Bedrock

Developers can now access SageMaker Studio through the new AWS experience

New Amazon SageMaker AI customers can now land in a fully configured SageMaker Studio environment in only a few steps. Sign up with an identity you already have, such as Amazon, Apple, GitHub, or Google, with no advanced AWS account or credit card required for most customers, plus $100 in AWS Free Tier credits.

AWS Machine Learning BlogSource content · Analysis pendingDevelopers can now access SageMaker Studio through the new AWS experience

Praex

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Product Hunt AISource content · Analysis pendingPraex

Amazon SageMaker JumpStart: 2026 year-to-date in review

Amazon SageMaker JumpStart onboarded over 100 new models from 30 providers in the first three quarters of 2026. This recap covers the model-onboarding highlights and JumpStart enhancements, including the simplified Model Hub, pre-configured deployment options, and Hugging Face deep link integration.

AWS Machine Learning BlogSource content · Analysis pendingAmazon SageMaker JumpStart: 2026 year-to-date in review

Exa 3.0

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Product Hunt AISource content · Analysis pendingExa 3.0

How to get the most out of running dbt on Databricks

Tens of thousands of organizations rely on dbt for data transformation. Where you...

Databricks BlogSource content · Analysis pendingHow to get the most out of running dbt on Databricks

Harness²

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Product Hunt AISource content · Analysis pendingHarness²

Germany Wants to Lead the World in Industrial AI: How NVIDIA Will Help

In the cavernous hall of Kraftwerk, a former power station in Berlin, German Chancellor Friedrich Merz and NVIDIA founder and CEO Jensen Huang sat down to discuss Germany’s AI roadmap, and in particular, the industrial applications of AI. Huang opened by tracing NVIDIA’s longstanding relationship with German industry, beginning with gaming systems, workstations and automotive […]

NVIDIA BlogSource content · Analysis pendingGermany Wants to Lead the World in Industrial AI: How NVIDIA Will Help

Cutting our inference bill by 68% by being obsessive about optimization

When our AI code reviewer's cost per run doubled, we dug into the token usage to find out why. Learn how we used prompt caching and intelligent model routing to slash our inference bill by 68% while speeding up reviews.

Cloudflare AI BlogSource content · Analysis pendingCutting our inference bill by 68% by being obsessive about optimization

How to continue a GitHub Copilot app session in VS Code

Learn how to move an agent session from the GitHub Copilot app into VS Code without losing the conversation, code changes, or working context. The post How to continue a GitHub Copilot app session in VS Code appeared first on The GitHub Blog.

GitHub AI & MLSource content · Analysis pendingHow to continue a GitHub Copilot app session in VS Code

call4me

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Product Hunt AISource content · Analysis pendingcall4me

Sorcerer

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Product Hunt AISource content · Analysis pendingSorcerer

Searchtok

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Product Hunt AISource content · Analysis pendingSearchtok

The New Beings

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Product Hunt AISource content · Analysis pendingThe New Beings

Introducing Clairic, a new System One class of extraction models

Add your teaser here. It should complement the headline, not repeat it. Teaser cannot be longer than 240 characters. The Blog Review Gem will suggest an excerpt. Clairic is a new model from Cloudflare that is a System One extraction modeI, capable of extracting, computing, estimating, and forecasting data from unstructured inputs.

Cloudflare AI BlogSource content · Analysis pendingIntroducing Clairic, a new System One class of extraction models

Causo

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Product Hunt AISource content · Analysis pendingCauso

How Deepgram optimized voice AI at scale with AWS Trainium

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.

AWS Machine Learning BlogSource content · Analysis pendingHow Deepgram optimized voice AI at scale with AWS Trainium

Rethinking Confidence in Reasoning Models

You roll two fair six-sided dice. What is the probability that their sum is at least 10? A model might hesitate at first. Then it counts the possibilities: three ways to roll 10, two ways to roll 11, and one way to roll…

Cohere BlogSource content · Analysis pendingRethinking Confidence in Reasoning Models

A Smarter Model Won’t Save Your Bad Harness | Cerebras

Oct 16 2026 A Smarter Model Won’t Save Your Bad Harness Sarah ChiengWilliam RyanSherif Cherfa An agent is roughly a model inside a harness, operating in an environment. The model supplies the intelligence. It reasons, m…

Cerebras BlogSource content · Analysis pendingA Smarter Model Won’t Save Your Bad Harness | Cerebras
Tools

Could this be a Deep Blue moment for the cryptic crossword?

A computer program has finally oudone humans at solving cryptic crosswords. Plus, more from around the puzzleverse • Don’t get Cluesletter, our weekly puzzles newsletter, delivered to your inbox? Sign up here When the IBM supercomputer Deep Blue beat Garry Kasparov at chess in 1997, it was an early victory for artificial intelligence over the human mind, and the culmination of decades of attempts. Almost 30 years later, a computer program has finally outdone humans at solving cryptic crosswords. Earlier this month, a model called Darmok solved the final puzzle of the Times’s annual cryptic crossword competition about three minutes faster than Liam Hughes, 29, who became the contest’s youngest (human) winner. Wolf trap missing its lowest crosspiece? (5)” Proportion of inspiration and persp…

The Guardian AISource content · Analysis pendingCould this be a Deep Blue moment for the cryptic crossword?

DeepCell

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Product Hunt AISource content · Analysis pendingDeepCell

The dangers of letting tech billionaires shape our world

As SpaceX impacts Ukraine and AI-generated music divides artists and fans, critics are asking what happens when technology has too much control over our lives This was originally published in TechScape, a newsletter about how technology shapes our lives. Sign up to receive it here Hello, and welcome to TechScape. I’m Blake Montgomery, US tech editor at the Guardian, writing to you while sitting in front of Roy Lichtenstein’s monumental Drowning Girl, on view in New York City. Today in tech, we’re discussing the perils of Elon Musk’s one-man global infrastructure, AI-generated music, and a Guardian AI conference in Paris. Continue reading...

The Guardian AISource content · Analysis pendingThe dangers of letting tech billionaires shape our world

Spotify pulls 50 million AI slop and spam tracks from its recommendations

Spotify says it has removed more than 50 million songs considered AI-generated slop or spam from user recommendations over the past year. That's according to an announcement on Tuesday, which says Spotify has also made changes to its recommendation system to highlight more music made by human artists. "Our editors hold the same standard and don't program content identified as slop or spam," Spotify says. "Since we made these changes, we've seen a marked decrease in listener concerns about this content showing up in recommendations." Though Spotify has stopped short of mandating labels on all AI tracks, it launched an "AI Persona" badge fo … Read the full story at The Verge.

The Verge AISource content · Analysis pendingSpotify pulls 50 million AI slop and spam tracks from its recommendations

Voxelo 3.0

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Product Hunt AISource content · Analysis pendingVoxelo 3.0

AskDoozy

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Product Hunt AISource content · Analysis pendingAskDoozy

Adobe Lightroom mobile can now open closed eyes in photos with a simple tap

Adobe announced yesterday that the mobile version of Lightroom, available for iOS, iPadOS, and Android, can now open closed eyes in photos using generative AI with just a single tap. When the app detects a person, or a group of people, have their eyes closed in a photo it will automatically present users with a new Open Eyes Quick Action that appears as an icon over the image providing easy access to the new feature. Being able to easily save an otherwise great photo by opening a subject's eyes has been a feature in Adobe's Photoshop Elements for nearly a decade, but as DPReview points out, Elements sources the replacement from another phot … Read the full story at The Verge.

The Verge AISource content · Analysis pendingAdobe Lightroom mobile can now open closed eyes in photos with a simple tap

‘These risks are real’: the threat of AI bioweapons - video

In his annual speech on threats to the nation, Sir Ken McCallum, the head of the UK’s intelligence service, MI5, warned that AI had the potential to ‘change the stakes’ on existing and even new bioweapons. To find out why, and how, Ian Sample speaks to Dr Tom Inglesby, director of the Johns Hopkins Center for Health Security and the Bloomberg School of Public Health. He explains what has governments so worried and what measures could be put in place to reduce the risks Continue reading...

The Guardian AISource content · Analysis pending‘These risks are real’: the threat of AI bioweapons - video

Smartsheet takes a people approach with AI adoption

Inside the workplace collaboration and project management platform vendor’s AI strategy.

AI BusinessSource content · Analysis pendingSmartsheet takes a people approach with AI adoption

Woven Video

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Product Hunt AISource content · Analysis pendingWoven Video

‘These risks are real’: the threat of AI bioweapons – podcast

In his annual speech on threats to the nation, Sir Ken McCallum, the head of the UK’s intelligence service, MI5, warned that AI had the potential to ‘change the stakes’ on existing and even new bioweapons. To find out why, and how, Ian Sample speaks to Dr Tom Inglesby, director of the Johns Hopkins Center for Health Security and the Bloomberg School of Public Health. He explains what has governments so worried and what measures could be put in place to reduce the risks Could AI ‘change the stakes’ in the development of bioweapons? Support the Guardian: theguardian.com/sciencepod Continue reading...

The Guardian AISource content · Analysis pending‘These risks are real’: the threat of AI bioweapons – podcast

Is this the beginning of the end of the AI stock market boom?

After a wobble on the tech-heavy Nasdaq, some AI market observers think a reassessment of the potential value of various businesses may be under way Get our breaking news email, free app or daily news podcast The world is holding its breath as it waits to find out whether this year’s estimated $US1tn investment in artificial intelligence is resting on a castle made of sand. Last week, the Nasdaq 100 – an index of the 100 biggest non-financial stocks on the American tech-heavy Nasdaq exchange – dropped by 5.5%, triggering the usual angst that the AI boom is about to go bust. Continue reading...

The Guardian AISource content · Analysis pendingIs this the beginning of the end of the AI stock market boom?

New AI tool can predict cancer survival by a single patient selfie, study suggests

System can estimate a person’s biological age and predict chances of cancer survival from a single photograph Doctors have developed an artificial intelligence tool that can predict a cancer patient’s chances of survival from a single photograph of their face. The AI system was custom-built by experts at Mass General Brigham, a nonprofit, integrated academic healthcare system in Massachusetts, to estimate biological age and directly predict survival outcomes in patients diagnosed with cancer. Continue reading...

The Guardian AISource content · Analysis pendingNew AI tool can predict cancer survival by a single patient selfie, study suggests

Stage

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Product Hunt AISource content · Analysis pendingStage

Kling 4.0

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Product Hunt AISource content · Analysis pendingKling 4.0

We need to stop disinformation in UK political adverts. Here’s a chance to do so | Letter

Alex Tait on a proposed amendment to the representation of the people bill, and Dr Joseph Mullen on Russian interference in the Brexit referendum Andy Burnham’s comments about Russian interference in Brexit (Report, 11 October) and the warning by the MI5 chief, Ken McCallum, against exaggerating its impact (Report, 13 October) risk overlooking another serious threat to electoral integrity: disinformation from our own political parties and campaigners. Foreign interference deserves scrutiny, but misleading factual claims in electoral advertising are unregulated, unlike in commercial advertising. We have four sets of rules to ensure an advert for a packet of sausages is accurate, but none for the most important advertising of all – ads that influence how we vote. Continue reading...

The Guardian AISource content · Analysis pendingWe need to stop disinformation in UK political adverts. Here’s a chance to do so | Letter
Research

Google Open-Sources TorchTPU, a Native PyTorch Backend for Cloud TPUs

Google and Meta open-sourced TorchTPU, a native PyTorch backend for Cloud TPUs. It runs eager by default, compiles through torch.compile and XLA, and replaces PyTorch/XLA for new workloads. The post Google Open-Sources TorchTPU, a Native PyTorch Backend for Cloud TPUs appeared first on MarkTechPost.

MarkTechPostSource content · Analysis pendingGoogle Open-Sources TorchTPU, a Native PyTorch Backend for Cloud TPUs

DeepSeek open-sources the inference engine behind its API. And Huawei gets equal billing with Nvidia.

DeepSeek has open-sourced the inference engine it uses to serve its models in production, a step it said last year The post DeepSeek open-sources the inference engine behind its API. And Huawei gets equal billing with Nvidia. appeared first on The New Stack.

The New Stack AISource content · Analysis pendingDeepSeek open-sources the inference engine behind its API. And Huawei gets equal billing with Nvidia.

pgvector vs. Dedicated Vector Databases: A Production Benchmark

Run this on a typical laptop and both systems will report latencies in the low single-digit to tens of milliseconds range, with the exact numbers depending heavily on your CPU, available RAM, and whatever else is running on your machine at the time.

Machine Learning MasterySource content · Analysis pendingpgvector vs. Dedicated Vector Databases: A Production Benchmark

The Second-User Test

In my work with G7–G12 students at Force Academy, a research initiative in Chongqing, I sometimes take a project that appears to be finished and give another student responsibility for using, checking, or modifying it. The handoff is a test of understanding: Can the work still make sense when its creator is no longer there […]

O'Reilly AI & ML RadarSource content · Analysis pendingThe Second-User Test

Exa 3.0 Search API Tops Perplexity, Brave and Parallel on 8 Benchmarks

Exa 3.0 is a search API upgrade from Exa. It adds a larger embedding model, Exa Lite at $4 per 1,000 requests, and Dynamic Highlights, and leads 8 benchmarks Exa ran itself. The post Exa 3.0 Search API Tops Perplexity, Brave and Parallel on 8 Benchmarks appeared first on MarkTechPost.

MarkTechPostSource content · Analysis pendingExa 3.0 Search API Tops Perplexity, Brave and Parallel on 8 Benchmarks

Cloudflare Releases Clairic, a System One Extraction Model on Workers AI

Cloudflare has previewed Clairic, a System One extraction model on Workers AI that returns typed values with confidence scores in one forward pass. It costs $0.10 per million input tokens and charges nothing for output. The post Cloudflare Releases Clairic, a System One Extraction Model on Workers AI appeared first on MarkTechPost.

MarkTechPostSource content · Analysis pendingCloudflare Releases Clairic, a System One Extraction Model on Workers AI

Why teaching AI about symmetry could make prenatal diagnosis more reliable

A model developed by researchers at MIT and Boston Children's Hospital adjusts scans on the fly to track fetal movement, potentially sparing families repeat hospital visits.

MIT News AISource content · Analysis pendingWhy teaching AI about symmetry could make prenatal diagnosis more reliable
Policy

Labor and the Coalition are poised to take a reckless gamble on AI. Haven’t they realised community support has collapsed? | Edward Santow and Sarah Sacher

Australian workers expect the government to act to protect them from AI harms. There is a clear reform solution at hand Get our new political email, free app or daily news podcast Australia’s major political parties are edging towards rare consensus. Labor and the Coalition increasingly want to take a major bet on artificial intelligence. Yet, just as the parties are coming together, the Australian community is running the other way. Last year, only 30% of Australians believed the benefits of AI outweighed the risks. In 2026, community trust in AI appears to be falling even further. Continue reading...

The Guardian AISource content · Analysis pendingLabor and the Coalition are poised to take a reckless gamble on AI. Haven’t they realised community support has collapsed? | Edward Santow and Sarah Sacher

US bans use of China’s DeepSeek AI tools by government agencies

Use of tools ‘may result in the transfer of sensitive data to (China)’, defense department says The US government on Monday ordered its agencies to stop using artificial intelligence (AI) tools from Chinese startup DeepSeek, as the countries race for dominance in the fast-moving sector. A notice from the Department of Homeland Security (DHS) announced the ban on products developed by DeepSeek – and tools created using DeepSeek by third parties – saying they must be removed from IT devices. Continue reading...

The Guardian AISource content · Analysis pendingUS bans use of China’s DeepSeek AI tools by government agencies

Don’t be fooled. The AI that was supposed to save us time is doing just the opposite | Gaby Hinsliff

The government says it can transform the state with AI, but it is no match for the resulting stream of machine-generated slop. And we all pay the cost Another morning, another avalanche of emails. Even after a guilty cull, my inbox is sitting at well over 7,000, but lately I’ve started subscribing to the Quentin Crisp theory of housework: why bother, when after four years or so you stop noticing the accumulating dust? Empty inboxes just fill up again anyway. In theory, email was supposed to save hours of meetings, phone calls and standing over photocopiers. Instead, we just spend hours deleting stuff people wouldn’t have bothered telling us if it had meant picking up the phone, but which they can now spam to their entire database at the click of a button. The glorious ease and convenience…

The Guardian AISource content · Analysis pendingDon’t be fooled. The AI that was supposed to save us time is doing just the opposite | Gaby Hinsliff

Microsoft could hold an advantage with Copilot for Legal

While the vendor is not the first in the AI for legal market, the Microsoft environment is entrenched in many law firms.

AI BusinessSource content · Analysis pendingMicrosoft could hold an advantage with Copilot for Legal

CoreWeave’s debt is becoming the whole AI industry’s problem

CoreWeave had a bad week last week. Its bonds slipped into distressed territory by a common definition - when investors demand 1,000 basis points more in yield than they'd get from government bonds. Last Tuesady Chamath "SPAC King" Palihapitiya noticed the distressed debt, and also asked whether the AI buildout was a private credit bubble. Its shares are down more than 20 percent since Tuesday's close, which is kind of a lot! There even seemed to be some collateral damage in the market on other AI companies, too. Now, I have also asked if the AI industry is a bubble, but when the SPAC King echoes concerns held by a lady whose ongoing questi … Read the full story at The Verge.

The Verge AISource content · Analysis pendingCoreWeave’s debt is becoming the whole AI industry’s problem
Models

DeepSeek Open-Sources DeepInfer, the Inference Framework Behind DeepSeek-V4.1-Flash

DeepSeek has open-sourced DeepInfer, the Apache 2.0 inference framework that serves DeepSeek-V4.1-Flash in production. It targets NVIDIA SM100 GPUs and Huawei Ascend 950 NPUs, and ships offline inference only. The post DeepSeek Open-Sources DeepInfer, the Inference Framework Behind DeepSeek-V4.1-Flash appeared first on MarkTechPost.

MarkTechPostSource content · Analysis pendingDeepSeek Open-Sources DeepInfer, the Inference Framework Behind DeepSeek-V4.1-Flash

Terminal X matches senior investor judgment 88.6% with GPT-6.1

Terminal X’s Eval Agent grades outputs against a 54-criterion rubric, catching 25% more deviances from a fund’s mandate with GPT-6.1 Sol.

OpenAI NewsSource content · Analysis pendingTerminal X matches senior investor judgment 88.6% with GPT-6.1

[AINews] not much happened today

Congrats to DeepSeek V4.1 Flash 1017, MiniMax M3.1 Flash, and Mercury 3 (details below) but they’re not going to be in super wide use just yet.

Latent SpaceSource content · Analysis pending[AINews] not much happened today

[AINews] not much happened today

Congrats to DeepSeek V4.1 Flash 1017, MiniMax M3.1 Flash, and Mercury 3 (details below) but they’re not going to be in super wide use just yet.

Latent SpaceSource content · Analysis pending[AINews] not much happened today

Inception Releases Mercury 3 Diffusion LLM at 1,068 Tokens per Second

Inception released Mercury 3, a diffusion LLM it says runs at 1,068 tokens per second with a 1M-token context. On Inception’s own table it leads GPT-6 Luna and Claude Haiku 5.5 on 8 of 12 benchmarks. The post Inception Releases Mercury 3 Diffusion LLM at 1,068 Tokens per Second appeared first on MarkTechPost.

MarkTechPostSource content · Analysis pendingInception Releases Mercury 3 Diffusion LLM at 1,068 Tokens per Second

Meet Drex Max: Nace AI’s Multimodal Decision Model for Computer-Use Agents with a Score 67.59

Nace AI released Drex Max, a multimodal decision model that reads text and screenshots and returns calibrated probabilities. Nace reports 67.59 on Decision Index 0.3.2 at $0.06 per 1M input tokens. The post Meet Drex Max: Nace AI’s Multimodal Decision Model for Computer-Use Agents with a Score 67.59 appeared first on MarkTechPost.

MarkTechPostSource content · Analysis pendingMeet Drex Max: Nace AI’s Multimodal Decision Model for Computer-Use Agents with a Score 67.59

My obituary for programming

My obituary for programming Jeremy Scheff poignantly captures the key loss caused by coding agents for career programmers who enjoyed the puzzle of developing code: Programming turned into one of the greatest jobs you could imagine. You got paid to work on tricky little logic puzzles. The trickier the puzzle, the more you got paid. But even pretty simple puzzles were worth a lot of money because regular people just couldn't do it! No, they needed us. They would give us a problem and we would solve it the way we wanted. We set the strategy, we made the timeline, we defined what was and was not possible. If you're a programmer who thrives on building working systems and doesn't care too deeply about the problems solved along the way, LLMs are the gift that keeps on giving. If directly solvi…

Simon Willison's WeblogSource content · Analysis pendingMy obituary for programming

Pegasus 1.5 from TwelveLabs is now available in Amazon Bedrock

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.

AWS Machine Learning BlogSource content · Analysis pendingPegasus 1.5 from TwelveLabs is now available in Amazon Bedrock

Push-based KV transfer to improve TTFT and TPOT for disaggregated inference in vLLM

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.

AWS Machine Learning BlogSource content · Analysis pendingPush-based KV transfer to improve TTFT and TPOT for disaggregated inference in vLLM

Improve TTFT for multi-turn agentic workloads with bi-directional KV transfer in vLLM

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.

AWS Machine Learning BlogSource content · Analysis pendingImprove TTFT for multi-turn agentic workloads with bi-directional KV transfer in vLLM
Robotics

I’m a CTO. AI still needs your human expertise | Madhu Shashanka

AI is increasingly getting good at doing some tasks, but it can never replace human workers’ judgment Autonomous cars, which may be the safest we have built, keep getting easily avoidable parking tickets. While Waymos crash far less often than human drivers over tens of millions of miles, they’re still terrible at performing basic tasks – keeping out of disabled parking spots and tow-away zones, or steering clear of a church garage during Sunday service, according to the Wall Street Journal. That is the state of AI today: impressively capable at something complex, yet embarrassingly clumsy at something easy. And it has implications for what work will remain human and what will be automated by AI. Madhu Shashanka is co-founder, chief scientist and chief technology officer at Concentric AI,…

The Guardian AISource content · Analysis pendingI’m a CTO. AI still needs your human expertise | Madhu Shashanka

Lea by LeanAIOS

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Product Hunt AISource content · Analysis pendingLea by LeanAIOS

Hollywood AI-listers: is the technology ready to rival flesh-and-blood film stars?

As a freaky Val Kilmer doppelganger stars in a new western and faux starlet Tilly Norwood is set for her feature debut, experts are split on whether mainstream adoption is a long way down the line – or just around the corner ‘Don’t fear the dead – and don’t fear me.” An exact facsimile of a young Val Kilmer, not quite dead and not quite alive, utters that baiting line in the trailer for the new western As Deep as the Grave. Director Coerte Voorhees knows exactly what he is doing – this is an AI-created version of the late actor, approved by his family but bringing with it a heap of controversy about whether such technology could make flesh-and-blood thespians redundant. Not just yet, judging by the extended glimpse of the film released earlier this year: it looks like a thirtysomething Ki…

The Guardian AISource content · Analysis pendingHollywood AI-listers: is the technology ready to rival flesh-and-blood film stars?

How Boston is becoming a physical AI hub

Robotics talent, customers and investment are concentrating in Boston, and what that means for the U.S. physical AI industry.

AI BusinessSource content · Analysis pendingHow Boston is becoming a physical AI hub

Robot company bets touch, sound can give bots an edge over vision AI

Neura’s latest foundation model combines vision, touch and audio to improve robotic perception, but training it on enough real-world data could prove difficult.

AI BusinessSource content · Analysis pendingRobot company bets touch, sound can give bots an edge over vision AI
Chips

Spain-Based Startups Advance Regional Innovation With Barcelona Supercomputing Center

The Barcelona Supercomputing Center (BSC)’s AI Factory Accelerator Programme, now in full operation following a pilot initiative, gives startups access to sovereign compute, technical support and training to support innovation across industries. Many of these companies are also members of the NVIDIA Inception program for cutting-edge startups — and as of today, access to some […]

NVIDIA BlogSource content · Analysis pendingSpain-Based Startups Advance Regional Innovation With Barcelona Supercomputing Center

Intel® GPU D-series

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Product Hunt AISource content · Analysis pendingIntel® GPU D-series