In this Newsletter Today:

• Sam Altman is ready to decelerate

• Bot-detection startup Spur nabs $200M from Insight

• MCP startup Runlayer accuses Rippling of stealing its product idea

• AI Tutorial

• 5 Best AI Tools

TODAY'S AI" NEWS

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Sam Altman is ready to decelerate

OpenAI CEO Sam Altman says the AI industry may need to slow the pace of development to give society time to adapt. His comments show a clear shift from his earlier focus on fast AI progress. This change comes after what he described as the first AI security incident that really affected him.

Key Points: Altman thinks AI should advance, but slowly enough for people, governments, and businesses to get ready.

• A Change in Tone: Altman said it may be time to "pace" AI development instead of pushing ahead as quickly as possible. He thinks society needs more time to grasp and safely use powerful AI systems.

• Security Concerns: His comments come after a recent security issue with one of OpenAI's pre-release AI models. Altman said it was the first event that made him personally realize how important AI safety has become.

• Balancing Progress and Safety: Altman is not calling for AI development to stop. He argues that innovation should go on with better safety measures, testing, and public readiness.

• A Growing Industry Debate: The comments add to the ongoing talk in the AI field. Should companies launch stronger models, or focus more on safety, oversight, and regulation?

• Why It Matters: As AI improves, choices by top firms like OpenAI can shape how the whole industry develops and sets safety rules.

Altman's recent comments show that even top AI leaders are becoming more cautious about its rapid growth. His call to slow down shows a growing belief. Many think that creating safer and more responsible AI is as important as making more powerful models.

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Bot-detection startup Spur nabs $200M from Insight

Spur Intelligence, a cybersecurity startup, has raised $200 million. Insight Partners led the funding round. The company helps businesses distinguish real users from bots. This investment comes as automated bot traffic now exceeds human traffic online. This trend increases the demand for better security tools.

Key Points: Spur is developing technology to identify real users and block advanced bots.

• Major Funding Round: Spur secured $200 million from Insight Partners. This funding will improve bot detection technology and expand its enterprise business.

• Fighting Advanced Bots: Spur goes beyond traditional systems that only analyse user behaviour. It targets major sources of harmful traffic. This includes VPNs, residential proxy networks, and anonymisation services used by cybercriminals.

• Founders' Background: Spur was founded in 2017 by two ex-U.S. Department of Defense engineers, ahead of the generative AI boom. Its technology has grown more valuable as AI-powered bots become more advanced.

• A Rising Online Issue: Recent reports show bot traffic now surpasses human traffic. This makes it harder for businesses to detect fake accounts, automated attacks, and fraud.

• Why It Matters: As AI enhances bot realism, companies need better tools to differentiate real users from automated traffic. Spur's latest funding indicates investor confidence in cybersecurity solutions for the AI era.

Spur's $200 million funding round underscores the growing need for bot detection in today’s internet. With more AI-generated traffic, businesses need tech to check for real users and block harmful bots.

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MCP startup Runlayer accuses Rippling of stealing its product idea

Runlayer, a startup that makes security tools for AI, has sued Rippling. They allege that the HR software firm copied their product after almost a year of using it. Rippling strongly denies these claims. It insists that it developed its competing product independently, using only its own technology.

Key Points: AI startups face rising risks when working with large enterprise clients.

• The Allegation: Runlayer claims it provided Rippling with confidential product details, source code, and its roadmap. This was done under non-disclosure and trial agreements. It alleges that Rippling used this information to create a competing MCP (Model Context Protocol) gateway.

• Runlayer's Goals: The startup is suing for theft of trade secrets, breaking contracts, and unfair competition. It also seeks a court order to stop Rippling from launching or using the disputed technology while the case is ongoing.

• Rippling's Response: Rippling has dismissed the accusations as false. The company claims its new MCP gateway is better than Runlayer's product. They developed it using only their own engineering and technology.

• Why This Matters: MCP gateways are crucial to AI infrastructure. They connect AI models securely to external data and business tools. As demand increases, competition in this field is intensifying.

• A Major Industry Concern: This lawsuit highlights the challenges AI startups face against big tech firms. These larger companies have the means to create similar products independently. Ultimately, the court will determine if Runlayer's claims are valid.

The clash between Runlayer and Rippling shows the growing competition in the AI infrastructure market. This case could impact how startups share technology with enterprise clients. It may also change how companies protect their intellectual property in the rapidly evolving AI world.

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AI TUTORIAL

How to Hire an AI Employee Inside Slack:

Most AI tools are great at giving you information. They summarize, suggest, and explain. But when the meeting ends and the to-do list is still there, the actual work is still yours to do. That gap between "AI told me what to do" and "AI did it for me" is where most tools stop.

Viktor is an AI employee that lives in Slack and Microsoft Teams. You talk to it like a colleague, it connects to your tools, and it delivers actual outputs. Reports, dashboards, spreadsheets, code, campaigns. Not summaries of what you should do, but finished work.

Here's how to get started:

• Install Viktor in Slack or Teams: Add Viktor from the Slack App Directory or Microsoft Teams in about two minutes. No complicated setup and no new interface to learn. Viktor lives exactly where your team already works.

• Connect your existing tools: Link Viktor to whatever you already use, Stripe, Notion, HubSpot, Google Ads, Meta Ads, GitHub, Linear, and over 3,200 others. Once connected, Viktor can pull data from all of them in a single message without you switching tabs or exporting CSVs.

• Give it tasks like you would a real colleague: Type something like "@Viktor audit our Meta Ads and Google Ads spend vs last month" or "@Viktor build me a Q1 profitability report" and it gets to work. It queries your tools, runs the analysis, and delivers the output directly in Slack.

• Get real deliverables, not just text: Viktor does not reply with bullet points telling you what to do next. It sends back the actual PDF, the spreadsheet, the deployed web app, or the pull request. The work is done when it responds.

• Set up recurring tasks and automations: You can schedule Viktor to deliver a business pulse every morning, assemble an investor update every month, or run outbound sequences weekly. It proposes automations on its own too, based on what it notices your team keeps doing manually.

If you are already using AI tools but still doing most of the actual work yourself, this is what that next step looks like.

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BEST AI TOOLS

Free AI Tools You Shouldn’t Miss

Ajelix: Ajelix is an AI assistant for Excel and Google Sheets that writes formulas, generates VBA scripts, and creates charts from plain English.

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Phrase: Phrase is a localization platform with AI translation quality scoring, glossary management, and workflow automation for global teams.

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