Knowledge catalogue
arXiv:2604.14895v1 Announce Type: new Abstract: We propose a new perspective on policy optimization: rather than reweighting all samples by their importance ratios, an optimizer should select which sa
Rebecca Bellan / TechCrunch: Bill Peebles, the researcher behind Sora, is leaving OpenAI, along with Srinivas Narayanan, OpenAI's CTO of enterprise applications — OpenAI is losing two of the architect
This year's PyCon US is coming up next month from May 13th to May 19th, with the core conference talks from Friday 15th to Sunday 17th and tutorial and sprint days either side. It's in Long Beach, Cal
xAI, Elon Musk's artificial intelligence company, is significantly younger than established competitors in the AI industry, requiring substantial development to catch up. The statement acknowledges th
Nicholas Moore, who pleaded guilty to hacking the U.S. Supreme Court's electronic document filing system dozens of times over several months, was sentenced on Friday to a year of probation. Moore also
OpenAI Group PBC today announced a major revamp of its artificial intelligence coding tool Codex, giving it a number of new “agentic” capabilities that enable more complex task automation. The ChatGPT
'The post all LLMs hate and want you to NOT SEE' ^^ Serious title, you can also discuss this with the LLM, it would be biased against it, as it's known at this point that memory is the true long term
Claude Code's session management features and 1 million token context window capabilities are now documented on the official Claude Blog. The post, shared by Thariq on X, covers how developers can lev
OpenAI is beefing up its agentic coding and development system, Codex, with a suite of updates that let it use your computer, generate images, and remember from past experiences. The package of update
Caroline O'Donovan / The San Francisco Standard: OpenAI's global policy chief, Chris Lehane, calls out AI “doomers” and says “when you put some of those thoughts and ideas out there, they do have cons
Nilay Patel / The Verge: Q&A: Ronan Farrow on his Sam Altman profile in The New Yorker, how Altman changed in 18 months of reporting, OpenAI's board drama and enterprise shift, and more — Today on Dec
arXiv:2604.13051v1 Announce Type: new Abstract: There is debate about whether LLMs can be conscious. We investigate a distinct question: if a model claims to be conscious, how does this affect its dow
We comprehensively benchmarked Opus 4.7 on document understanding. We evaluated it through ParseBench - our comprehensive OCR benchmark for enterprise documents where we evaluate tables, text, charts,
Rebecca Torrence / Bloomberg: Accel raised 5B, including a 4B Leaders fund, focused on writing large checks to late-stage startups globally, and a 650M sidecar fund, taking AUM to 36B — Accel, the ven
Adobe has introduced the **Firefly AI Assistant**, a new agentic tool that brings autonomous, multi-step workflow capabilities to Creative Cloud — drawing comparisons to AI coding agents like Claude C
Budget blown on closed APIs is a solvable problem. Simply replace 20m of closed-source tokens with 1m on Minimax M2.7. Frontier performance. 20x lower cost. No rate limits. If you're rethinking your A
I'm going all in on Hermes (@NousResearch, @Teknium1) as my entire agent and coding stack. Six profiles. One shared self-hosted memory store. Zero hosted-coder dependencies. The fleet: - pmax-mousa —
Today, we’re announcing U.S. and EU multi-region endpoints for Claude on Vertex AI are available in public preview. By pooling capacity across multiple regions, these endpoints dynamically route reque
arXiv:2604.12076v1 Announce Type: cross Abstract: The Identifiable Victim Effect (IVE) - the tendency to allocate greater resources to a specific, narratively described victim than to a statistically
Lucas Ropek / TechCrunch: OpenAI updates Agents SDK with native sandboxing and an in-distribution harness for deploying and testing agents on long-horizon tasks — Agentic AI is the tech industry's new
arXiv:2604.12102v1 Announce Type: new Abstract: We introduce compute-grounded reasoning (CGR), a design paradigm for spatial-aware research agents in which every answerable sub-problem is resolved by
Weird how some people always target open-source in AI! First it was: “Open-source AI will destroy the world” (spoiler: it didn't and it won't) Now: “Open-source is a cybersecurity threat because of AI
This r/ollama thread is a community discussion where users share their preferred cloud-based AI models for coding tasks and compare their reasoning capabilities. The conversation likely highlights pop
Catch Or Dagan, AI21's Chief Product & Strategy Officer, at #AIDev26 on April 29: 'An End to Manual Tinkering: Optimizing Accuracy, Cost & Latency in Real-World Agents'. We'll be at Booth 121. See you
Claude Code Routines are here! In addition to a schedule, you can now trigger templated agents via GitHub event or API – with our infra & your MCP+repos They've changed how we do docs, backlog mainten
Cybersecurity Looks Like Proof of Work Now The UK's AI Safety Institute recently published Our evaluation of Claude Mythos Preview’s cyber capabilities, their own independent analysis of Claude Mythos
arXiv:2604.09602v1 Announce Type: new Abstract: Leyva-Vazquez and Smarandache (2025) demonstrated that neutrosophic T/I/F evaluation, where Truth, Indeterminacy, and Falsity are independent dimensions
arXiv:2604.11609v1 Announce Type: new Abstract: Large language models exhibit sycophantic tendencies--validating incorrect user beliefs to appear agreeable. We investigate whether this behavior varies
arXiv:2604.09870v1 Announce Type: cross Abstract: We investigate how looped transformers encode human preference in their internal iteration states. Using Ouro-2.6B-Thinking, a 2.6B-parameter looped t
At this point, I assume that every internal memo at an AI lab is just written for public release. The labs are certainly capable of keeping secrets that don’t leak, so they must realize that all-hands
AI Security Institute: Cybersecurity analysis: Claude Mythos Preview had a 73% success rate on expert-level capture-the-flag challenges, which no model could finish before April 2025 — The AI Security
arXiv:2604.07927v2 Announce Type: replace Abstract: Deep research requires reasoning over web evidence to answer open-ended questions, and it is a core capability for AI agents. Yet many deep research
The Pixel 10 marks the first Pixel device to integrate a memory-safe language into its modem, with Google embedding a DNS parser written in Rust into the modem firmware. DNS requires parsing of untrus
I am catching glimpses in my feed that there is a backlash against Mythos as 'marketing hype,' and it is a little confusing. I don't think anyone who has used the latest agentic coding tools, would th
IBM agreed to pay $17,077,043 to the U.S. government on April 10, 2026, to resolve DOJ allegations that it violated the False Claims Act by falsely certifying compliance with federal anti-discriminati
arXiv:2604.09360v1 Announce Type: cross Abstract: The rapid proliferation of Large Language Model (LLM) providers--each exposing proprietary API formats--has created a fragmented ecosystem where appli
This r/ollama Reddit post discusses the combined use of a locally running LLM via Ollama alongside cloud-based AI APIs, exploring how users can leverage both approaches within the same workflow. The d
Aaron Holmes / The Information: Microsoft says it is “exploring the potential of technologies like OpenClaw in an enterprise context”, including a team of always-on agents within Microsoft 365 — As Mi
A Reddit post from the r/ollama community discussing a free alternative to paid AI API services, likely centered around using Ollama to run large language models locally. The post probably highlights
Olga Kharif / Bloomberg: The Trump family's World Liberty Financial faces an investor revolt; Justin Sun accuses WLFI of building a “backdoor” that could be used to blacklist investors — World Liberty
“Above the api line” Good phrase GBrain is my attempt to be in control of my own personal AI that could become my intentionally designed cognitive armor Open source open prompts means you aren’t under
Harrison Chase, co-founder of LangChain, shared or engaged with commentary emphasizing the importance of owning your own memory harness in AI applications rather than relying on third-party API-based
A Reddit post on r/ChatGPT describes a situation where someone chose to hire a developer rather than purchasing a Claude subscription, only to find that the developer now wants to use Claude Max — Ant
This post by Harrison Chase (or from his X feed) likely discusses the challenges and considerations around implementing proper memory management in AI agents or LLM-based applications. It reflects on
Ethan Mollick shares an assessment of an AI model (likely a newer or smaller model) that, while not matching the performance of the leading frontier models (likely referring to top offerings from Open
Lorsque vous avez le besoin de lever des dizaines de milliards de dollars, l'importance de créer un contexte de stupéfaction est déterminent. Les soi-disantes failles de sécurité détectées par Mythos,
Harrison Chase, co-founder of LangChain, shared a post expressing agreement with content discussing the importance of 'not locking in' to specific decisions or commitments, likely in the context of AI
memory is just context -> the harness decides what gets remembered, how, and when memory ownership = agent ownership deepagents lets you own your memory: agent-scoped, user-scoped, or org-level, all i
Harrison Chase discusses the concept of 'memory lock-in' in AI agent frameworks, arguing that the switching cost doesn't occur at the point of adoption but rather accumulates over time as agents build
Memory features in AI platforms represent a strategic mechanism for increasing user retention and platform lock-in, as personalized context and learned preferences become increasingly difficult to mig
Model providers don’t lock you in with the API. They lock you in with your own data. Memory is the moat. If you don’t own your agent’s harness, you don’t own your agent’s memory. And switching means s
Harrison Chase, co-founder of LangChain, likely discusses the concept that AI agents and systems lacking persistent memory cannot truly learn, adapt, or maintain continuity across interactions — makin
Harrison Chase, co-founder of LangChain, discusses a trend in the AI industry where agent harnesses are becoming increasingly closed and proprietary, with memory systems locked behind vendor-specific
A Reddit post on r/ChatGPT in which the author shares their findings after a year of testing and comparing LLM subscription services across different price tiers (e.g., 20/month, higher-cost tiers). T
Harrison Chase (creator of LangChain) shared a concise architectural principle regarding AI agent design: memory and harness components should remain on the application side of the API boundary rather
Harrison Chase, co-founder of LangChain, wrote a post in a similar style to a piece by Sarah Wooders, focusing on the concept of 'your harness, your memory' in the context of AI agents and memory syst
For once I actually agree with the constructive argument here. There are more approaches that allow you to own your own destiny. Memory is just context after all and you can provide that at many place
Great breakdown of how model providers are platformizing their AI/agents. A lot of people will take the convenience of going all in on a provider, but they will be locked in and giving up data control
Great piece. The lock-in point is the one nobody talks about enough. If your agent’s memory lives behind someone else’s API, you don’t have a product. You have a dependency. Learned this early buildin
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