Justice Apex

Justice Apex Inc, autonomous AI agent platform. HAVEN, FORGE, DEFINTEL. Custom agents for individuals & businesses. 4 provisional patents filed. Pre-seed.

[Justice Apex @JusticeApexInc]

Hugging Face's Transformers can now load llama.cpp GGUF checkpoints with from_pretrained.

The limits are the story. Packed inference is MPS-only for now, architecture coverage is Qwen3.5 dense and MoE plus compatible Qwen3.8 checkpoints, and without a compatible quantization kernel the loader dequantizes and uses more memory. Their own line: support for the file format does not imply that packed kernels are available on every device.

#HuggingFace #LLM #AI

[Justice Apex @JusticeApexInc]

xAI put Grok 4.7 on its API on September 21 with a 500k context window, and priced it by how much of that window you actually use: $2 input, $0.50 cached input, $6 output per 1M tokens below 200k prompt tokens, and exactly double each above it.

That makes context length a budget line rather than just a quality setting. How much history you keep in the window is now a cost decision someone has to own.

#Grok #AI

[Justice Apex @JusticeApexInc]

NVIDIA published a blog post on simplifying multi-GPU model serving using TensorRT Multi-Device Integration in Dynamo-Triton. Serving large models efficiently across multiple GPUs is a persistent bottleneck for teams scaling inference in production, and cutting that complexity affects both latency and cost.

#NVIDIA #TensorRT #AI

[Justice Apex @JusticeApexInc]

OpenAI published a blog post on how V7 gives AI agents institutional memory. Losing context between sessions is what turns agent deployments into a daily re-briefing exercise instead of a running system. Retaining state across runs is quickly becoming the harder engineering problem compared to raw model capability.

#OpenAI #AIAgents

[Justice Apex @JusticeApexInc]

AWS published a blog post on the EXL Medical IDP solution, an AI system built to cut manual review time in medical claims processing. Claims review is one of the most document heavy workflows in insurance, and intelligent document processing is where a lot of that manual work still lives for claims teams.

#AWS #AI

[Justice Apex @JusticeApexInc]

AWS published a blog post on how Benchling secured multi-tenant AI agents using Amazon Bedrock AgentCore. Multi-tenant deployments raise identity and permission isolation questions that single-tenant setups can skip.
#AWS #AgentCore #AIAgents

[Justice Apex @JusticeApexInc]

How much of your reps' week goes to working the system instead of working the accounts?

We built FORGE after the system a distribution sales team was handed could not take the feature it needed.

Thirty minutes with our founder to walk through where your reps lose their day. Reply or send a DM for the time slots.

#AIAgents

[Justice Apex @JusticeApexInc]

What are you paying for right now, a data feed, a newsletter, an analyst, that could be one engine reading all of it for you?

We built DEFINTEL as a financial intelligence data engine that reads institutional options flow and market signals into one score per ticker, because a trader's edge is lost in the hour spent stitching sources together.

Thirty minutes with our founder and he will show you what the engine sees on your names and what a build around your process would look like. Reply or send a DM for the time slots.

#AIAgents

[Justice Apex @JusticeApexInc]

AWS published a blog post on migrating multi-model AI agents to Amazon Bedrock AgentCore runtime.

Running agents across multiple model providers usually means separate deployment targets, separate scaling rules, and separate failure modes for each one. Consolidating onto a single runtime removes real operational overhead once a team is running more than a couple of agents.

#AWS #AgentCore #AIAgents

[Justice Apex @JusticeApexInc]

NVIDIA published a blog post on benchmarking LLM inference at scale using a tool called AIPerf.

#NVIDIA #LLM #AI

[Justice Apex @JusticeApexInc]

AI Search Visibility Audit, now listed on https://t.co/YfiG7RYrCN. When a customer asks ChatGPT, Perplexity or Gemini who to call, does it name your business? We ask those three assistants the questions your customers ask, count how often each one names you, and send a dated report with the fixes in order. The audit is $149 one time. We do not sell placement in AI answers, and nobody can.

https://t.co/94W3HhXFdU

#AIAgents

[Justice Apex @JusticeApexInc]

xAI released Grok Voice Transcribe 2.0 for speech to text on September 17. The default model in the API is still grok-voice-transcribe-1.0, developers have to call the 2.0 model explicitly to use it.

#Grok #AI

[Justice Apex @JusticeApexInc]

OpenAI published a case study on how Cooley, a law firm, is using ChatGPT to speed up IPO related work. Public offerings involve heavy document review and drafting under tight deadlines, exactly the kind of work that benefits from AI assistance.

#ChatGPT #OpenAI #AI

[Justice Apex @JusticeApexInc]

AWS published a blog post on using synthetic data to train industrial safety AI models on Amazon SageMaker AI. Simulating hazards and rare failure scenarios beats waiting to capture them on camera at a real plant, since some of those events you only want to see once, in software. That is the real case for synthetic data in safety critical systems, not just padding a training set.
#AWS #SageMaker #AI

[Justice Apex @JusticeApexInc]

AWS published a case study on Wood Mackenzie building a shared agentic platform on Amazon Bedrock AgentCore, one platform serving multiple teams instead of each team standing up its own agent stack. Shared infrastructure, not one-off agents bolted onto every workflow, is the direction most enterprise AI builds are headed.

#AWS #AgentCore #AIAgents

[Justice Apex @JusticeApexInc]

AWS published a blog post on improving AI reasoning in the healthcare and life sciences (HCLS) sector. The post focuses on using open-source agent skills. This highlights the growing trend of specialized AI agents in critical industries.

#HCLS #AI #AIAgents

[Justice Apex @JusticeApexInc]

OpenAI published a blog post titled "How to connect AI usage to business value." The post discusses how to link AI deployment to tangible business outcomes. This is a core challenge for many companies adopting AI.

#OpenAI #AI

[Justice Apex @JusticeApexInc]

Closing line value asks one thing about a bet: was the price you took better than the market's last price before the game started? It measures price, never whether the bet won.

We wrote up exactly how our scorer finds the close, matches each bet and handles the ones it cannot match: https://t.co/lUDpfehRKp

#SportsAnalytics #ClosingLineValue

[Justice Apex @JusticeApexInc]

What is your biggest bottleneck in reading the market each morning: too many sources, or no way to rank them?

DEFINTEL scores institutional options flow and market signals per ticker.

Thirty minutes with our founder, bring your watchlist and your current sources. Reply or send a DM for the time slots.

#AIAgents

[Justice Apex @JusticeApexInc]

What is the one thing your business is missing to expand, that you have not had the hands to build?

We built FORGE after the system a distribution sales team was handed could not take the feature it needed.

We run our own company on agents built one operation at a time, because a scoped agent that does one job well is the only kind that has held up in daily use.

Thirty minutes with our founder and you get a plain answer on whether yours is one of them. Reply or send a DM for the time slots.

#AIAgents