Long AI chats get worse. Anthropic's docs call it context rot. A 2025 study saw ~39% lower results when a request was drip-fed over turns; newer models narrow it. Brief once: who, what you've got, an example, rules, the ask last. #GenerativeAI #AIAutomation

Excited to start our new series on Ai news, techniques and insights. Developers said AI made them 20 percent faster. The clock said 19 percent slower. From METR's 2025 trial. METR now says it's out of date. What still holds is the gap between feeling fast and being fast.

Take control of your AI. Nexus puts it behind one front door: roles decide who can run what, every action is on the record, nothing leaves until a person approves. Your models, or fully private with local ones. anthera.tech/nexus #AI #AIAgents

TypeSafe's Jev doesn't write, it judges: a typed answer with a calibrated score, thousandths of a cent, up to 400x cheaper than a chat model on classification. Every email and document graded as it lands. Nexus is already building it in. #EnterpriseAI #AIGovernance

Mid-market companies have an underrated AI advantage: the whole workflow fits in one person's head, and the decision to change it sits with one or two people, not a steering committee. Pilots move in weeks, not quarters. #EnterpriseAI #AIAutomation

Claude Fable 5.1: token prices unchanged, cache reads cut from $1.00 to $0.25 per million. ~25% cheaper typical, up to ~45% agentic. Two tips from Anthropic's own guide: ask for targeted edits, not full rewrites, and try Low or Medium effort first. #EnterpriseAI #AgenticAI

Our AI Fit Check is live: 13 questions, about 3 minutes, a score out of 100, and a straight answer on where AI fits your business. Some people get told to wait. That's deliberate. Free at fitcheck.anthera.tech #AI #SmallBusiness

Stanford's August update: employment for 22 to 25 year olds in the most AI-exposed jobs now sits 19% below their peers, up from 13% last year. Economy-wide, barely a gap. It runs through hiring, not firing. The roles just stop being opened. #EnterpriseAI #AIAutomation

The new rules of context engineering, from the engineers who build Claude Code: replace prohibitions with intent, design tool interfaces instead of giving examples, and load procedures on demand rather than up front. #AIAgents #EnterpriseAI

Private Claude chats showed up in Google search over the weekend, wallet keys and addresses included. The model didn't leak, the wrapper around it did. Choose your frontier model, then look hard at the harness holding your data. #AISecurity #EnterpriseAI

Opus 5 takes most of Anthropic's launch charts off Fable 5 at half the per-token price. Fable keeps health, legal, zero-day security and design taste. And Opus burns ~2.4x the output tokens, so cheaper per token isn't cheaper per job. #EnterpriseAI #AIAutomation

Claude Opus 5 is out, same price as Opus 4.8. Agentic terminal coding jumps to 43% (Opus 4.8: 21%, Fable 5: 33%), and it beats Fable 5 on computer use and business workflows for less. Also notably better at verifying its own work. #AIAgents #EnterpriseAI

OpenAI's CFO wants AI judged on cost per successful task, not cost per token. Fair test, though it flatters their own cheapest model. PwC says 56% of CEOs see no financial benefit from AI yet, and most are spending with no way to measure it. #EnterpriseAI #AgenticAI

Gemma 4 12B, out 3 June: a 12B open model that runs fully on a 16GB laptop, no cloud, no API key. It writes and runs code locally and serves an OpenAI-compatible endpoint your tools can point at. For data that can't leave the building, the on-prem line moved. #EnterpriseAI

Claude Fable 5 is live today. A Mythos-class model, a tier above Opus, topping nearly every benchmark, at $10 per million input tokens. When the frontier goes public, the model stops being your edge. Governance and smart routing are. #EnterpriseAI #AgenticAI

Australia's Privacy Act automated decisions clause takes effect December 2026. Eight months to be able to explain why an AI made a decision about a person. Most enterprises cannot answer that question today. #AIGovernance #PrivacyAct

DeepSeek V4 ships this week. Performance near frontier. Cost roughly one-sixth of GPT-5.5. The arbitrage gap between models is now wide enough that workload routing matters as much as model selection. #EnterpriseAI #AIAutomation

Australia skipped the AI Act. The Dec 2025 plan leans on existing law. But the Privacy Act amendment is passed: from 10 Dec 2026 you must disclose the data behind automated decisions. No AI Act doesn't mean no obligations. #EnterpriseAI #AIGovernance

Opus 4.8 shipped six weeks after 4.7. For production agents the number that earns trust is reliability. This one is half as likely to claim work it never finished, and 4x less likely to wave bad code through. That is what makes autonomy deployable. #AgenticAI #EnterpriseAI

Google committed $40B to Anthropic. $10B immediate, $30B performance-based. Plus Amazon's $25B. The hyperscalers are buying compute futures as much as equity. A multi-polar AI market is better for enterprise procurement than any single dominant vendor. #EnterpriseAI