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Ultimate Gift Guide for Digital Artists

Phil
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Ultimate Gift Guide for Digital Artists

The Christmas Presents Creatives Really Want

It’s getting dangerously close to Christmas, and this can be a very stressful time for last-minute shoppers. If you’re like me, then chances are you still have a few people to tick off your list, and if one of them happens to be a digital artist then you’re in the right place. Ignore all of the novelty art sets, we know exactly where to find the Christmas presents creatives really want.

Shopping for Artists: The Challenges

It can be tricky shopping for artists, especially if you don’t have an interest in their niche or know which tools they specifically need. That’s why we’ve put together plenty of gift guides for creatives based on top-spec products that we’ve used ourselves and can confidently recommend.

BEST LAPTOPS FOR DRAWING

Check out our top picks for the best laptops for drawing, perfect for digital artists who need a reliable machine for their creative work:

Dell XPS 13

* 13.4″ Full HD Touch Display
* Intel Core i9-10885H
* 64GB DDR4 RAM
* NVIDIA GeForce GTX 1650 Ti

HP Envy x360

* 15.6″ Full HD Touch Display
* AMD Ryzen 9 4900H
* 16GB DDR4 RAM
* Radeon RX 560X
* Convertible design allows for flexibility

Apple MacBook Pro 16

* 16″ Liquid Retina Display
* Intel Core i7
* 16GB DDR4 RAM
* Radeon Pro 560X with 4GB GDDR5 memory
* Integrated Touch Bar and Touch ID

BEST TABLETS WITH STYLUS PEN

For sketching and drawing on the go, our top tablet picks with a stylus pen are:

Wacom Cintiq 16

* 15.6″ Full HD Touch Display
* 8192 Levels of Pressure
* Integrated Stylus Pen

Apple iPad Pro 11

* 11″ Liquid Retina Display
* Apple Pencil Support
* A12Z Bionic Chip with 64-bit architecture

Microsoft Surface Go

* 10″ PixelSense Display
* 4096 Levels of Pressure
* Integrated Stylus Pen

TOP APPLE PENCIL ALTERNATIVES

If you’re looking for something other than Apple Pencil, we’ve got some great alternatives:

Logitech Crayon

* Compatible with iPad
* 1000 Levels of Pressure

Adonit Pixel

* Compatible with Apple iPad and iPad Pro
* 2048 Levels of Pressure

BUDGET-FRIENDLY OPTIONS FOR DIGITAL ARTISTS

Don’t break the bank! These budget-friendly options are great for digital artists:

Sketchbook

* A5-sized Hardcover Sketchbook
* High-quality paper for drawing
* Affordable price point

Wacom Intuos

* Compact and lightweight
* 4096 Levels of Pressure
* Affordable price point

CONCLUSION

Hopfully, this gift guide can help with your Christmas shopping or at the very least offer some inspiration. Remember to consider your digital artist’s specific needs and preferences when choosing the perfect gift.

FAQS

Q: What is the best laptop for drawing? A: The best laptop for drawing depends on the individual’s specific needs. Our top picks include the Dell XPS 13, HP Envy x360, and Apple MacBook Pro 16.

Q: What is the best tablet for sketching? A: The best tablet for sketching depends on the individual’s specific needs. Our top picks include the Wacom Cintiq 16, Apple iPad Pro 11, and Microsoft Surface Go.

Q: Can I use Apple Pencil on other tablets? A: No, Apple Pencil is exclusively compatible with Apple devices.

Q: What are some budget-friendly options for digital artists? A: Some budget-friendly options for digital artists include the Sketchbook, Wacom Intuos, and Logitech Crayon.

Big Data Steals Home: 5 Ways AI is Changing Baseball

Emerson Blake
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Big Data Steals Home: 5 Ways AI is Changing Baseball

The Rise of Artificial Intelligence in Major League Baseball

Data-Driven Decision Making in the Sports Industry

The rise of artificial intelligence (AI) has affected every industry, but the exploitation of data in Major League Baseball (MLB) is the definition of game-changing. New data sources are coming online all the time, and it’s the job of data engineers like Oliver Dykstra to turn this information into a competitive advantage.

5 Ways AI is Changing Baseball

1. Providing Better Predictions

Dykstra highlighted the importance of data-powered predictive matchups, "We can run those scenarios a lot faster and get a better sense of what’s out there. It’s about being able to toy with these matchups and run simulations to see how a game could go if we put in this guy or another or do particular pitch sequencing."

2. Creating New Partnerships

Internal data talent isn’t the only important resource. Successful MLB teams’ working relationships stretch beyond the enterprise. The Rangers collect data from disparate sources and use a combination of Apache Airflow and Astronomer’s orchestration and observability platform to ensure staff and players receive timely insights.

3. Removing Manual Tasks

Turning scout reports into useful data can be hard work, and that’s where generative AI (Gen AI) can help. "There are a lot of secret terms and codes that scouts use. It’s too much for one person to read through all that information, and it’s sometimes hard to understand. Extracting the value can be difficult. But with LLMs and generative AI, we can sort through these summaries, provide a great dictionary to translate key phrases, and summarize."

4. Monitoring Other Factors

Player data isn’t the only potential source of competitive advantage. The team also feeds its models with external information, including weather data. "This is a hot new source. Every five minutes, we’re getting data from all the different fields. The weather dynamics in a stadium are not quite what you would think they would be. You can’t just lift your finger. It’s not something you can necessarily intuitively get."

5. Building New Cultures

Industry experts say organizations must democratize data access to make the most of the insight created by emerging technologies. The Rangers have a data analyst embedded within the team to help ensure coaches and players make the most of data, "It’s always a conversation."

Conclusion

The rise of AI in MLB is revolutionizing the way teams make decisions, from predicting game outcomes to improving player performance. With the help of AI, teams can gain a competitive edge and improve overall performance.

FAQs

Q: What is the role of data engineers in MLB teams?
A: Data engineers like Oliver Dykstra are responsible for turning data into a competitive advantage.

Q: What is the importance of data-powered predictive matchups in MLB?
A: It allows teams to run scenarios faster and get a better sense of what’s out there, enabling them to make informed decisions.

Q: How do MLB teams collect and manage data?
A: Teams collect data from disparate sources and use a combination of Apache Airflow and Astronomer’s orchestration and observability platform to ensure timely insights.

Q: What is the role of generative AI (Gen AI) in MLB?
A: Gen AI helps turn scout reports into useful data, allowing teams to extract value from large amounts of information.

Q: How do MLB teams use external information, such as weather data?
A: Teams feed their models with external information, including weather data, to gain a competitive edge.

Elon Musk receipts: ‘You can’t sue your way to AGI’

Avery Winslow
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Elon Musk receipts: ‘You can’t sue your way to AGI’

The Lawsuit between Elon Musk and OpenAI: New Developments

OpenAI just dropped a new blog post defending itself against Musk that outlines some new text messages between cofounders Ilya Sutskever, Greg Brockman, Sam Altman, Elon Musk, and former board member Shivon Zilis.

New Text Messages Emerge

“You can’t sue your way to AGI,” the OpenAI blog post reads, referring to artificial general intelligence, which Altman has promised soon. “We have great respect for Elon’s accomplishments and gratitude for his early contributions to OpenAI, but he should be competing in the marketplace rather than the courtroom. It is critical for the U.S. to remain the global leader in AI. Our mission is to ensure AGI benefits all of humanity, and we have been and will remain a mission-driven organization. We hope Elon shares that goal, and will uphold the values of innovation and free market competition that have driven his own success.”

The Conversation Unfolds

Some of the new messages revealed show Brockman telling Zilis in July 2017 about a meeting he had with Musk, who allegedly said that a non-profit was definitely the right structure early on but “may not be the right one now.” Later that month, Brockman wrote to Musk that path for OpenAI should be: “1. AI research non-profit (through end of 2017) 2. AI research + hardware for-profit (starting 2018) 3. Government project (when: ??).”

Musk’s Plans and Demands

The blog also highlights Musk’s attempts to maneuver into the CEO position and gain majority control of the company (though it adds that on one call Musk said he “didn’t care about equity” but “just needed to accumulate $80B for a city on Mars”). Musk also proposed that OpenAI spin into Tesla, which has been previously revealed. When the negotiations fell apart because OpenAI’s cofounders rejected his proposal (Brockman and Sutskever admitted they had fears of a power struggle), Musk resigned from the company.

Aftermath and xAI

The blog said that after Musk resigned, he hosted a goodbye all-hands with the team where he encouraged them to “pursue the path we saw to raising billions per year” and that “he would pursue advanced Al research at Tesla, which was the only vehicle he believed could obtain this level of funding.” Later, around the time Musk was working to acquire Twitter, he texted Altman that he was “disturbed” to see the company’s new $20 billion valuation. “De facto. I provided almost all the seed, A and most of B round funding,” he wrote, according to the disclosed texts. “This is a bait and switch.”

xAI and the Lawsuit

A few months after that interaction, Musk started an OpenAI competitor, xAI.

Conclusion

Today’s update from OpenAI attempts to counter Musk’s narrative by offering evidence that he, not Altman, attempted to seize control in the company’s early days — a direct response to Musk’s recent lawsuit claims about Altman’s power consolidation.

Frequently Asked Questions

Q: What is the lawsuit about?

The lawsuit is about the alleged power struggle between Elon Musk and OpenAI’s cofounders over the direction of the company. Musk claims that OpenAI has strayed from its original mission to develop AI for the public good.

Q: What are the new text messages about?

The new text messages reveal that Musk allegedly discussed the possibility of OpenAI spinning into Tesla and that he proposed to become the CEO of OpenAI. They also show that Musk was concerned about the valuation of OpenAI and felt that it was being undervalued.

Q: What is xAI?

xAI is a new AI research company started by Elon Musk, which is seen as a competitor to OpenAI.

Q: What is the current status of the lawsuit?

The lawsuit is ongoing, with OpenAI and its partner Microsoft counter

AWS re:Invent 2024: Biggest Security Announcements

Parker Lennox
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AWS re:Invent 2024: Biggest Security Announcements

AWS Introduces New Security Features at re:Invent 2024

Enhancing Cloud Security with AI and Machine Learning

If you’ve been keeping up with tech news, you’ve likely seen a surge of updates from AWS re:Invent 2024 – Amazon Web Services’ annual conference for the global cloud computing community.

AWS Security Incident Response

Among the many announcements, AWS introduced the AWS Security Incident Response service at re:Invent 2024 to help organizations quickly prepare for and respond to security incidents in their AWS environments. Key capabilities include integration with Amazon GuardDuty and AWS Security Hub for automated monitoring and triaging of security findings and a centralized dashboard for a more coordinated response to threats. Users get 24/7 access to AWS Customer Incident Response Team (CIRT) and post-incident reporting with recommended remediation actions. AWS Security Incident Response is now available in 12 AWS Regions globally.

AWS GuardDuty Extended Threat Detection

AWS also launched AWS GuardDuty Extended Threat Detection, which leverages AI and machine learning (ML) to provide deeper insights into threats like credentials and data exfiltration. It introduces attack sequence findings, critical severity alerts, and natural language summaries mapped to the MITRE ATT&CK Framework.

Network Firewall Capabilities

AWS has also updated its Network Firewall capabilities. It can now filter networks based on the geographic location of IP addresses, simplifying compliance with regional regulations and assisting in mitigating risks from threats originating in particular locations.

Amazon Security Lake Ready Specialization

As organizations look to simplify their security processes, using trusted solutions is essential for better protection and less complexity. The new Amazon Security Lake Ready Specialization highlights AWS Partners who have proven that their software works with Amazon Security Lake and have successfully deployed it for customers.

AWS OpenSearch Service Zero-ETL Integration with Amazon Security Lake

AWS announced the general availability of Amazon OpenSearch Service zero-ETL integration with Amazon Security Lake. Key features include querying Security Lake data directly with OpenSearch, using the Open Cybersecurity Schema Framework (OCSF) for easier analysis, and improving security monitoring with OpenSearch Dashboards.

AWS Clean Rooms

Launched in 2022, AWS Clean Rooms is a fully managed service that enables secure data collaboration and analysis without exposing sensitive information. Last year, AWS enhanced the service by adding ML and differential privacy features.

AWS AI Security Category

Building on its focus on secure and innovative solutions, AWS introduced an AI Security category within its Security Competency, aimed at helping customers identify partners with expertise in securing AI environments. According to AWS, these partners are validated for capabilities such as preventing data leaks, mitigating attacks, and implementing responsible AI practices. The category is designed to address the increasing security challenges posed by AI adoption.

Conclusion

AWS’ recent announcements demonstrate its commitment to enhancing cloud security with AI and machine learning. The new features and services introduced at re:Invent 2024 aim to help organizations better protect their data and manage risks in increasingly complex environments.

Frequently Asked Questions

Q: What is AWS Security Incident Response?
A: AWS Security Incident Response is a service that helps organizations quickly prepare for and respond to security incidents in their AWS environments.

Q: What are the key capabilities of AWS Security Incident Response?
A: Key capabilities include integration with Amazon GuardDuty and AWS Security Hub for automated monitoring and triaging of security findings and a centralized dashboard for a more coordinated response to threats.

Q: What is AWS GuardDuty Extended Threat Detection?
A: AWS GuardDuty Extended Threat Detection is a feature that leverages AI and machine learning (ML) to provide deeper insights into threats like credentials and data exfiltration.

TensorRT-LLM 0.13.0 Release

Jordan Waverly
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TensorRT-LLM 0.13.0 Release

We are very pleased to announce the 0.13.0 version of TensorRT-LLM. This update includes:

Key Features and Enhancements

  • Supported lookahead decoding (experimental), see docs/source/speculative_decoding.md.
  • Added some enhancements to the ModelWeightsLoader (a unified checkpoint converter, see docs/source/architecture/model-weights-loader.md).
    • Supported Qwen models.
    • Supported auto-padding for indivisible TP shape in INT4-wo/INT8-wo/INT4-GPTQ.
    • Improved performance on *.bin and *.pth.
  • Supported OpenAI Whisper in C++ runtime.
  • Added some enhancements to the LLM class.
    • Supported LoRA.
    • Supported engine building using dummy weights.
    • Supported trust_remote_code for customized models and tokenizers downloaded from Hugging Face Hub.
  • Supported beam search for streaming mode.
  • Supported tensor parallelism for Mamba2.
  • Supported returning generation logits for streaming mode.
  • Added curand and bfloat16 support for ReDrafter.
  • Added sparse mixer normalization mode for MoE models.
  • Added support for QKV scaling in FP8 FMHA.
  • Supported FP8 for MoE LoRA.
  • Supported KV cache reuse for P-Tuning and LoRA.
  • Supported in-flight batching for CogVLM models.
  • Supported LoRA for the ModelRunnerCpp class.
  • Supported head_size=48 cases for FMHA kernels.
  • Added FP8 examples for DiT models, see examples/dit/README.md.
  • Supported decoder with encoder input features for the C++ executor API.

API Changes

  • [BREAKING CHANGE] Set use_fused_mlp to True by default.
  • [BREAKING CHANGE] Enabled multi_block_mode by default.
  • [BREAKING CHANGE] Enabled strongly_typed by default in builder API.
  • [BREAKING CHANGE] Renamed maxNewTokens, randomSeed and minLength to maxTokens, seed and minTokens following OpenAI style.
  • The LLM class
    • [BREAKING CHANGE] Updated LLM.generate arguments to include PromptInputs and tqdm.
  • The C++ executor API
    • [BREAKING CHANGE] Added LogitsPostProcessorConfig.
    • Added FinishReason to Result.

Model Updates

  • Supported Gemma 2, see “Run Gemma 2” section in examples/gemma/README.md.

Fixed Issues

  • Fixed an accuracy issue when enabling remove padding issue for cross attention. (#1999)
  • Fixed the failure in converting qwen2-0.5b-instruct when using smoothquant. (#2087)
  • Matched the exclude_modules pattern in convert_utils.py to the changes in quantize.py. (#2113)
  • Fixed build engine error when FORCE_NCCL_ALL_REDUCE_STRATEGY is set.
  • Fixed unexpected truncation in the quant mode of gpt_attention.
  • Fixed the hang caused by race condition when canceling requests.
  • Fixed the default factory for LoraConfig. (#1323)

Infrastructure Changes

  • Base Docker image for TensorRT-LLM is updated to nvcr.io/nvidia/pytorch:24.07-py3.
  • Base Docker image for TensorRT-LLM Backend is updated to nvcr.io/nvidia/tritonserver:24.07-py3.
  • The dependent TensorRT version is updated to 10.4.0.
  • The dependent CUDA version is updated to 12.5.1.
  • The dependent PyTorch version is updated to 2.4.0.
  • The dependent ModelOpt version is updated to v0.15.

We are updating the main branch regularly with new features, bug fixes and performance optimizations. The rel branch will be updated less frequently, and the exact frequencies depend on your feedback.

Thanks,
The TensorRT-LLM Engineering Team

Conclusion

The 0.13.0 version of TensorRT-LLM brings several key features and enhancements, including supported lookahead decoding, OpenAI Whisper in C++ runtime, and added enhancements to the LLM class. Additionally, this release includes several API changes, model updates, and fixed issues.

FAQs

Q: What is the main purpose of this release?
A: The main purpose of this release is to bring new features, bug fixes, and performance optimizations to the TensorRT-LLM community.

Q: What are the key features and enhancements in this release?
A: The key features and enhancements in this release include supported lookahead decoding, OpenAI Whisper in C++ runtime, and added enhancements to the LLM class.

Q: Are there any breaking changes in this release?
A: Yes, there are several breaking changes in this release, including changes to the LLM class and the C++ executor API.

Q: How often will the main branch be updated?
A: The main branch will be updated regularly with new features, bug fixes, and performance optimizations. The rel branch will be updated less frequently, and the exact frequencies depend on your feedback.

A Design Agency’s Wine

Phil
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A Design Agency’s Wine

Tavern Celebrates Two-Year Anniversary with Unique House Wine

Agency Gift Showcases Creative Ingenuity

Branding agency Tavern is celebrating its two-year anniversary with a custom wine, complete with an extravagant glorifier. The sparkling red Lambrusco is inspired by dive bars, Italian American social clubs, and red sauce joints. The bottle alone deserves a spot in the packaging design hall of fame for its contrast of vintage typography and cross-genere aesthetic inspirations.

Label Design

The label design centers around the agency’s wordmark, which appears in a bold condensed version of Centry Schoolbook. Paired with 70s-era Minuet and Grilli Type Standard, the label has a stylish juxtaposition of contemporary sleekness and retro class. The design is complete with "vintage seals, overlay stamps, and plenty of label blocking" inspired by the agency’s favorite beer labels.

Glorifier and Packaging

To add an extra flourish to the gift, Tavern created a custom glorifier for the bottle that doubles as an ashtray. The horse motif, which also appears on the wine label, is a nod to the agency’s "unofficially official mascot". Decked out in patinaed brass and embossed with Tavern’s seal and logo, the horseshoe-shaped glorifier-cum-ashtray is the perfect embellishment to the experience of the lavish gift.

Agency’s Thoughts on the Gift

Speaking to Creative Bloq, Tavern’s strategy director Lisa Franck reflects on the agency’s second anniversary. "Year two has been a wild ride in the absolute best way. We’ve launched a number of exciting projects into the world: a huge rebrand for Sizzler Family Steak House, a historic spiritual home for Overholt rye whiskey, heritage-inspired merch for Burt’s Bees, just to name a few. To celebrate a year of wins, we wanted to end things on a high note with a toast to all those who’ve helped us along the way."

Conclusion

Tavern’s house wine is a thoroughly ambitious, immersive, and impressive product that showcases the agency’s creative ingenuity. As the agency continues to evolve, it will be exciting to see what future projects they come up with.

FAQs

Q: What inspired the design of the wine label?
A: The design is inspired by dive bars, Italian American social clubs, and red sauce joints.

Q: What is the significance of the horse motif on the label and glorifier?
A: The horse motif is a nod to the agency’s "unofficially official mascot".

Q: How did the agency come up with the idea for the custom glorifier?
A: The agency wanted to add an extra flourish to the gift and create a unique experience for the recipient.

Q: What does the future hold for Tavern’s house wine?
A: As the agency continues to evolve, the Tavern they are building (and the Tavern-branded drinks inside) will certainly evolve with them.

Google’s Gemini AI is now on Nest smart speakers

Avery Winslow
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Google’s Gemini AI is now on Nest smart speakers

Google Rolls Out Gemini-Powered Google Assistant to Select Nest Smart Speakers

Google Teases Smarter Assistant for Home

Google has started rolling out a Gemini-powered Google Assistant to some Google Home users on select Nest smart speakers. The company first teased a smarter Google Assistant for the home in August and is starting with Gemini-powered answers to general knowledge questions. The regular Google Assistant will still handle smart home and music requests, but you’ll hear a chime before the Assistant responds with an AI-powered answer.

What’s New with Gemini-Powered Google Assistant?

As detailed by Google in a new support document, Gemini in Google Assistant on Nest speakers can answer wider-ranging questions with more in-depth answers, similar to Gemini on Android and iOS. You can also ask it follow-up questions and interrupt the response to ask another question, although you’ll still need to say "Hey Google" each time.

Availability and Compatibility

First spotted by 9to5Google, the Gemini-enhanced Assistant began appearing on speakers earlier this month. However, it’s only available on Nest Audio and Nest Mini (2nd gen) smart speakers — Nest smart displays or earlier generations speakers aren’t compatible. The AI-powered answers are also only open to users in Google Home’s Public Preview, who are also Nest Aware subscribers and who have opted in to Experimental AI features. However, that last option isn’t available to everyone in the Preview.

How to Enable Experimental AI Features

As detailed in this support document, if you’re selected to use Experimental AI features, you’ll receive a notification in your Google Home App inbox. This will let you toggle on an Experimental AI features button to start testing Gemini-powered Google Assistant.

Conclusion

The Gemini-powered Google Assistant is a step forward in making Google’s smart speaker technology more intelligent and capable. With its ability to answer more in-depth questions and provide follow-up answers, it’s an exciting development for those invested in the Google Home ecosystem.

Frequently Asked Questions

Q: What is the Gemini-powered Google Assistant?
A: The Gemini-powered Google Assistant is a new feature that provides more in-depth answers to general knowledge questions, similar to Gemini on Android and iOS.

Q: Which devices support the Gemini-powered Google Assistant?
A: The feature is currently available on Nest Audio and Nest Mini (2nd gen) smart speakers.

Q: Who can use the Gemini-powered Google Assistant?
A: The feature is available to users in Google Home’s Public Preview, who are also Nest Aware subscribers and who have opted in to Experimental AI features.

Q: How do I enable Experimental AI features?
A: You’ll receive a notification in your Google Home App inbox, and you can toggle on the Experimental AI features button to start testing the Gemini-powered Google Assistant.

You Won’t Believe What These Optical Illusion Sculptures Are Made From

Phil
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You Won’t Believe What These Optical Illusion Sculptures Are Made From

Optical Illusions: Art That Challenges Perception

We love a good optical illusion here at Creative Bloq, and we’ve seen everything from impossible geometry to static shapes that appear to move. But these optical illusion sculptures are something else.

Sculptures That Defy Explanation

From a distance, this artist’s pieces look like detailed sculptures of birds, from macaws to ospreys, kingfishers, hummingbirds, and cardinals. But moving closer reveals that they’re made from some surprising materials.

The Artist’s Vision

The sculptures are the work of Thomas Deininger, who says he makes things "to observe and process the curious, perverse, and sublime beauty of our world". His recent sculptures, which have been displayed at various galleries, including at Art Miami, are made mainly from non-recyclable and non-biodegradable materials, including abandoned toys.

Mesmerizing, Yet Disturbing

These materials make his pieces mesmerizing, but also slightly disturbing, as the beautiful animal species turn out to be recreated from waste and disembodied dolls’ heads. And while the pieces find a new use for this waste, it also serves as a commentary on the impact that our waste has on the natural world, conjuring up images we’ve all seen of birds picking through rubbish dumps and eating plastic.

Beyond Birds: Other Members of the Animal Kingdom

Thomas has used the same technique for other members of the animal kingdom. Check out this piece below, which he says is an inch longer than the largest recorded striped bass ever caught.

Conclusion

These optical illusion sculptures challenge our perception of art, waste, and the natural world. They encourage us to think about the impact of our actions on the environment and the beauty that can be found in unexpected places.

FAQs

Q: What is Thomas Deininger’s artistic vision?
A: Thomas Deininger’s artistic vision is to observe and process the curious, perverse, and sublime beauty of our world.

Q: What materials does Thomas Deininger use to create his sculptures?
A: Thomas Deininger uses non-recyclable and non-biodegradable materials, including abandoned toys, to create his sculptures.

Q: What is the message behind Thomas Deininger’s sculptures?
A: The message behind Thomas Deininger’s sculptures is to comment on the impact of waste on the natural world and to encourage us to think about the beauty that can be found in unexpected places.

ChatGPT Gets Easier to Organize on 7th Day of OpenAI

Emerson Blake
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ChatGPT Gets Easier to Organize on 7th Day of OpenAI

What are the ’12 days of OpenAI’?

OpenAI announced a 12-day live stream event series, dubbed "12 days of OpenAI," starting on Dec. 5. Each day, the company will host a live stream featuring a launch or demo of new features, some of which are "big ones" and others that are "stocking stuffers."

What has been dropped so far?

Friday, December 13

One of the most highly requested features, an organizational feature to better keep track of conversations, was released today. This feature is called "Projects." Projects is a way to organize and customize your chats in ChatGPT, meant to optimize the core experience of ChatGPT.

Thursday, December 12

When the live stream started, OpenAI addressed the issue of the previous day’s live stream going down and apologized for the inconvenience. The company then announced a highly-anticipated feature:

  • Advanced Voice Mode now has screen-sharing and visual capabilities, allowing it to assist with the context of what it is viewing.

Wednesday, December 11

Apple released iOS 18.2, which includes integrations with ChatGPT across Siri, Writing Tools, and Visual Intelligence. Today’s live stream focused on walking through the integration.

  • Siri can now recognize when you ask questions outside its scope that could benefit from being answered by ChatGPT instead.
  • Writing Tools now features a new "Compose" tool, which allows users to create text from scratch by leveraging ChatGPT.

Tuesday, December 10

Canvas is coming to all web users, regardless of plan, in GPT-4o.

  • Canvas has been built into GPT-4o natively, meaning you can just call on Canvas instead of having to go to the toggle on the model selector.
  • Canvas can also be used with custom GPTs.

Monday, December 9

OpenAI teased the third-day announcement as "something you’ve been waiting for," followed by the much-anticipated drop of its video model — Sora.

Friday, December 6

On the second day of "shipmas," OpenAI expanded access to its Reinforcement Fine-Tuning Research Program.

Where can you access the live stream?

The live streams are held on the OpenAI website and posted to its YouTube channel immediately after. To make access easier, OpenAI will also post a link to the live stream on its X account 10 minutes before it starts.

Conclusion

The "12 days of OpenAI" event series has seen the release of several new features, including Projects, Advanced Voice Mode, iOS 18.2 integrations, Canvas, Sora, and Reinforcement Fine-Tuning Research Program. These features aim to improve the user experience of ChatGPT and push the boundaries of AI technology.

FAQs

Q: What is the "12 days of OpenAI" event series?
A: The "12 days of OpenAI" is a 12-day live stream event series hosted by OpenAI, featuring the launch or demo of new features.

Q: What kind of features are being released during the "12 days of OpenAI"?
A: Features include organizational tools, video generation, screen-sharing and visual capabilities, and integrations with other Apple apps.

Q: How can I access the live streams?
A: The live streams are held on the OpenAI website and posted to its YouTube channel immediately after. A link will also be posted on the OpenAI X account 10 minutes before the start of each live stream.

ChatGPT Projects

Avery Winslow
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ChatGPT Projects

OpenAI Introduces "Projects" Feature in ChatGPT

Introducing a New Way to Organize Your Conversations

OpenAI is rolling out a new feature called "Projects" to ChatGPT, a folder system that makes it easier to organize your conversations while using the AI chatbot. This feature allows users to create a list of projects, which can be customized with titles, icons, and files, and can also include previous chats to keep track of them.

How Does it Work?

As shown in a demo video, your list of projects will appear in the sidebar. You can create a new project by editing the title, setting a color for the project’s icon, and adding files or instructions to tailor how ChatGPT responds to things in that individual project. You can also add previous chats to your project to keep track of them.

Use Cases for Projects

The new feature seems like a pretty useful way to keep track of, for lack of a better word, your projects. During the demo video, an OpenAI employee showed examples of how they use Projects to plan for a Secret Santa gift exchange and for home maintenance. Depending on your needs, it could be a better way to work on a project than my usual method, which is dumping everything I can think of into an Apple Note.

Rollout Schedule

Projects is rolling out today to ChatGPT Plus, Pro, and Teams users. It will come to free users "as soon as possible" and to Enterprise and Edu users "early in the new year," according to OpenAI CPO Kevin Weil.

FAQs

Q: What is the purpose of the "Projects" feature?
A: The "Projects" feature is designed to help users organize their conversations and keep track of their progress while using ChatGPT.

Q: How do I create a new project?
A: You can create a new project by editing the title, setting a color for the project’s icon, and adding files or instructions to tailor how ChatGPT responds to things in that individual project.

Q: Can I add previous chats to my project?
A: Yes, you can add previous chats to your project to keep track of them.

Q: When will the "Projects" feature be available to all users?
A: The "Projects" feature will be available to free users "as soon as possible" and to Enterprise and Edu users "early in the new year."

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