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- 🦾 OpenAI launches ChatGPT Work, powered by GPT-5.6
🦾 OpenAI launches ChatGPT Work, powered by GPT-5.6
🦾Plus: ✨ Meta Launched its Newest AI Model, Muse Spark 1.1
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Hey folks! Let’s get into Big Data and AI craziness…
In today's edition: Here is roundup of GPT-5.6 goes public, Claude's New Features, Meta AI chips👇
📊7 Real-World Examples of How Brands Are Using Big Data Analytics
🧠Cognition trains a frontier coding model on a budget
📊Databricks benchmarks coding agents on internal tasks
👨💻 Stop being the code review bottleneck
🌞 OpenAI takes GPT-5.6 public
💡 AI Tutorial:How to Learn Faster With ChatGPT’s Study Mode
🤖AI Tools and Data Tools to checkout
To celebrate the launch of its GPT-5.6 model, OpenAI unveiled another new AI agent: ChatGPT Work. The tool is a combination of ChatGPT and Codex powered by the GPT-5.6 model suite (Sol, Terra, and Luna), allowing the everyday non-technical user to take advantage of Codex’s capabilities for non-coding tasks.
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Companies have rapidly increased their adoption of big data analytics techniques, so that hey can manage and analyze large data sets in real time. Utilizing these insights, they can understand patterns, associations, and trends related to consumer behavior and interactions.
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The team behind Devin just rolled out SWE-1.7, post-trained from Kimi K2.7 inside its agent harness. It matches GPT-5.5 within a point on Cognition's FrontierCode benchmark at roughly $2 per task, though Opus 4.8 stays slightly ahead. The model can summarize its progress and pick up right where it left off.
Databricks benchmarked AI coding agents to find the best balance between performance versus cost for their engineers. They found that affordable models manage daily tasks effectively, though the testing environment significantly affects total efficiency and spend.
Agents are writing code faster than any human can review. Humans being involved in every code review is a bottleneck. Put humans outside of the code review loop by building a pipeline that delegates tasks to agents. This post looks at power workflow changes that PostHog uses to make reviewing AI-generated code fast without losing quality.
Stop being the middleman between your own finance tools.
Most finance teams work on five different tools and a prayer. Ramp replaces all of it: corporate cards, bill pay, expense management, travel, and procurement. AI-powered with real-time visibility and real control.
👨💻 Data Tools, Libraries
Columns.ai Flow turns AI into your data workflow engine. Connect spreadsheets, APIs, and SQL databases, then clean, join, filter, aggregate, pivot, and visualize your data through simple chat.
Operator Stack: Its Reporting System connects to your marketing data so you can automate reporting, uncover insights, and spend more time making decisions.
Is your AI analyst lying to you? Tune in to hear Andy and ThoughtSpot SVP of Product Management, Francois Lopitaux, discuss whether a “single source of truth” is actually achievable
The Center for U.S. Voters Abroad Turnout Project is on a mission to empower American voters living, serving, or working abroad to participate in US elections. Request your 2026 ballot.
AI News:
Meta introduced the latest model from its Meta Superintelligence Labs, Meta Spark 1.1, a significant upgrade from the original Muse Spark. The multimodal reasoning model was built for agentic tasks and comes with a paid tier for developers. Previously, Meta had not charged clients for access to its AI models.
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Should Anthropic trust Elon Musk to host its models? After users on X implied that Musk could wake up one day and simply boot the AI lab from SpaceX’s servers as a way to kneecap a rival, Musk replied with glowing praise for the AI lab. He said that such a trick was “not my style.”
Anthropic designed Reflect to break down the topics, tasks, and times behind someone's Claude use across the past 1, 3, 6, or 12 months on web and desktop, with a total-time view on the way and the phone app still to come. Reflect scores that against a fluency framework of delegation, description, discernment, and diligence, built with MIT Media Lab and Boston Children's Hospital.
OpenAI just released its GPT-5.6 family, launching flagship Sol alongside Terra and Luna tiers — and pairing the models with a Claude Cowork-style platform and desktop app merge that brings the company’s ‘superapp’ talk into action. Sol lands slightly below Fable on AA’s Intelligence Index but tops it on agentic coding, with upgrades to computer use, design, and cybersecurity.
Speaking of Meta and AI… the tech giant is reportedly on track to start making the latest versions of its AI-specific chip in September, according to an internal memo. At least one chip sailed through its testing phase in about six weeks, and Meta is working with Broadcom on the chip design, though it will use Taiwan Semiconductor Manufacturing Company (TSMC) to manufacture them.
AI Tutorial
How to Learn Faster With ChatGPT’s Study Mode
Turn ChatGPT into an interactive tutor that guides you step by step, not just gives answers.
Here’s how to do it (step-by-step): 👇
Step 1: Open ChatGPT (mobile or web) and select any GPT model.
Step 2: Tap the Tools button next to the message bar.
Step 3: Select “Study and learn” from the dropdown menu.
Step 4: Start with a topic and your level, for example:
“Help me learn [Your Subject/Skill] from scratch. I want to understand key concepts, tools, and strategies within 2 weeks. Use questions, mini-quizzes, and examples to guide me step by step.”
Step 5: Engage with the questions, hints, and mini-quizzes ChatGPT gives you.
💡 Quick Tip: Enable Memory (Settings → Personalization), so Study Mode remembers your progress and adapts over time.
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