OpenAI Released GPT 6 Astra

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OpenAI released GPT 6 Astra

OpenAI released GPT 6 Astra on September 3, calling it its most capable model yet for computer use, coding, research and complex professional work. Astra is also the first OpenAI model to reach the company’s Critical cybersecurity capability threshold. Its stronger computer control means users can delegate longer workflows instead of handling every step manually. Access is beginning with selected organizations before expanding across paid ChatGPT plans and the API. _{^{Source: OpenAI}}

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I Created A Slapstick Cartoon Using AI

It’s a longer video so I can’t share all the prompts here but I am going to share one prompt to help you understand the prompt style (Grab the prompt below)

Prompt:

Scene: The Last Piece

Sequence length: 15 seconds

Time: 0:55–1:10

References:

Image 1 : storyboard page for this ending beat

Image 4 : location sheet

Image 2 : vulture character sheet

Image 3 : hyena character sheet

Global continuity rules

Start exactly from the previous final frame: vulture on the left, shocked and furious; hyena on the right, half-emerged from the open crate, grinning and holding the last tiny piece of bread toward the vulture. Same savanna layout, same big rock formation left, same crate right, same warm late-afternoon light, same scale, same character design.

No dialogue. No captions. No visible text. No teleportation.

Every action must show cause → motion → consequence.

The bread piece must stay physically trackable at all times.

Frame-by-frame shot guide

29 | 0:55–0:57
Medium two-shot.

Start exactly from the previous final pose. Vulture stands frame-left, furious and stiff, eyes locked on the bread. Hyena leans out of the crate frame-right, smugly extending the last tiny bread piece toward the vulture like a tease. Hold for tension.

30 | 0:57–0:59

Medium-wide continuation.
Hyena inches closer from the crate, arm stretched out with the bread, grin growing wider. Vulture does not lunge. Instead, he stays oddly calm, lowers his gaze for one beat, and begins sliding one wing subtly toward a tiny whistle hidden in his feathers. Hyena stays focused on mocking him.

31 | 0:59–1:00

Tight close-up on vulture.

Vulture’s angry expression sharpens into controlled focus. He brings the tiny whistle to his beak and gives one short, calm blow. No speech. Just a precise physical action.
32 | 1:00–1:02

Macro insert + reaction cut.

Macro close-up of the trap mechanism above: the whistle-triggered release peg snaps loose from a simple rope support holding a large suspended rock. Show the peg popping free and the rope releasing tension. Cut to hyena looking upward, grin collapsing into alarm as he realizes too late.

33 | 1:02–1:04
Wide impact shot.

The huge rock drops straight down from above onto the hyena’s position beside the crate. Show the full fall path. The hyena tries to duck but is too late. The rock slams down in a funny exaggerated slapstick impact, pinning him underneath while leaving his head and one paw visible. The tiny bread piece pops loose from his hand and bounces onto the dirt nearby.

34 | 1:04–1:06

Medium aftermath shot.
Dust settles. Hyena is pinned under the rock, dazed, flattened, and helpless, eyes spinning or blinking in confusion. The crate remains beside him. The last bread piece lies clearly visible on the ground near his paw. Vulture stands safely to the left, completely unconcerned.

35 | 1:06–1:08

Medium side shot.

Vulture casually strolls over from frame-left to the trapped hyena, bends down, and picks up the bread piece from the ground with one wing. Hyena reaches weakly toward it but cannot move because the rock is pinning him down. Keep the bread physically visible from ground to vulture’s wing.
36 | 1:08–1:10

Final medium-wide payoff.

Vulture stands upright beside the trapped hyena and calmly eats the last piece of bread. He chews with relaxed satisfaction and starts to walk away. Hyena remains pinned, furious and humiliated, glaring helplessly from under the rock. End on the comic contrast: vulture calm, hyena defeated.

Performance rules
Vulture: furious at first, then suddenly controlled, clever, and completely unbothered after the trap works.

Hyena: cocky and teasing at first, then confused, alarmed, crushed, helpless, and humiliated.

Use clear slapstick timing: tease → calm setup → trigger → falling rock → impact → dust settle → casual bread recovery → final bite.

Use close-ups only for the whistle and trap-release mechanism. Keep the impact and aftermath readable in wider framing.

Anthropic Releases Claude Fable 5.1 and Mythos 5.1

Anthropic introduced Claude Fable 5.1 and Claude Mythos 5.1 on September 1.
Fable 5.1 targets advanced coding, research and long running professional workflows, while Mythos 5.1 focuses on sensitive cybersecurity and biology research. Anthropic is restricting Mythos access to vetted organizations because of the model’s stronger dual use capabilities. The release shows frontier models becoming increasingly specialized rather than relying on one general model for every task. ^{_{Source: Anthropic}}

Google Launches Gemini 3.8 Flash and a Cybersecurity Variant

Google introduced Gemini 3.8 Flash and Gemini 3.8 Flash Cyber on September 2.
The standard model is designed for software engineering, autonomous agents and demanding multistep reasoning while maintaining Flash level speed and pricing.
The Cyber variant is optimized specifically for cybersecurity workflows. The launch reflects how quickly AI companies are moving toward purpose built models for agents and specialized professional work. ^{_{Source: Google}}

Go to this post and grab the prompt to test it yourself

Gemini Can Now Search Through Videos Like an Agent

Google launched agentic video understanding for several Gemini models.Instead of processing video at a fixed rate, Gemini can decide which moments, frames, audio and transcript sections it actually needs to inspect. Google reports token consumption reductions of up to 88 percent and analysis cost reductions of up to 66 percent in its testing. This could make long video search, automated editing, anomaly detection and content analysis significantly more practical. _{^{Source: Google}}

More AI & Tech News

Google Is Turning Voice Into an Interface for Everyday Work

Google announced new voice controlled capabilities for Gmail, Docs and Keep on September 3 using Gemini 3.5 Live. Users can speak naturally to search their inbox, draft documents and convert spoken thoughts into organized notes. The important shift is that voice is moving beyond dictation toward actually controlling productivity workflows. The features are beginning to roll out across eligible Google Workspace accounts. _{^{Source: Google}}

Nvidia Is Buying Hugging Face for Nearly $13 Billion

Nvidia agreed on September 3 to acquire Hugging Face for roughly $12.93 billion, one of its largest acquisitions. Hugging Face has become a central distribution hub for open AI models, datasets and applications used by millions of developers. Nvidia says the platform will remain open and developers will not be required to use Nvidia hardware.
The deal moves Nvidia deeper into the software and developer ecosystem surrounding AI, beyond simply supplying chips. ^{_{Source: Reuters}}

Google’s New AI Can Forecast Weather Every Hour

Google DeepMind introduced WeatherNext 3 on September 3, its newest global AI weather forecasting system. It uses real time satellite observations and can generate forecasts every hour with substantially finer geographic detail. The technology is being integrated into Google Search, Maps and Gemini alongside availability for researchers and businesses. Faster and more localized forecasting could improve decisions in agriculture, renewable energy, transport and disaster preparation. ^{_{Source: Google}}

Nvidia Wants Powerful AI Agents Running Directly on Your PC

Nvidia unveiled new local AI technology at IFA, including RTX Spark Windows PCs arriving in October. Lenovo and Acer are among the manufacturers preparing systems around the platform. Nvidia also introduced PAIR, which can distribute AI inference across multiple computers on a local network. Running capable agents locally could improve responsiveness, privacy and cost while reducing dependence on cloud infrastructure. ^{_{Source: NVIDIA}}

CrowdStrike Built AI Models That Attack and Defend in the Same Loop

CrowdStrike introduced SafeMind in collaboration with Nvidia. The system combines an offensive model that searches for attack paths with a defensive model designed to close those weaknesses. Both operate inside a controlled security framework rather than functioning as independent general purpose assistants. It is a clear example of AI agents moving from answering cybersecurity questions to actively participating in defensive operations. ^{_{Source: CrowdStrike}}

Anthropic Is Redesigning AI Security for Regulated Companies

Anthropic announced Enterprise Frontier Safeguards after developing the system with more than 100 enterprise customers. The approach allows sensitive data to remain inside infrastructure controlled by the customer while still enabling monitoring for serious AI misuse. It is aimed particularly at sectors such as healthcare, finance, law, manufacturing and government. The system addresses a growing problem as stronger AI agents collide with strict enterprise privacy and compliance requirements. ^{_{Source: Anthropic}}

Adobe Quietly Acquires an AI Marketing Startup From India

Adobe acquired Indian marketing intelligence startup Rilo in a deal confirmed on September 2. The transaction brings Adobe both technology and talent focused on automating modern marketing workflows. Rilo works in an area becoming increasingly important as brands optimize campaigns not only for traditional search but also for platforms such as ChatGPT, Gemini and Claude. The deal shows AI changing the infrastructure behind digital marketing as well as content creation itself. ^{_{Source: TechCrunch}}

OpenAI Commits $1 Billion to AI Powered Cyber Defense

OpenAI announced a $1 billion cyber defense initiative on September 3 as increasingly capable AI systems raise security concerns. The commitment includes subsidized access to AI security tools along with training and technical support. The program is aimed at organizations responsible for protecting important infrastructure and public services. It signals a growing race to ensure defenders receive powerful AI capabilities as quickly as attackers do. _{^{Source: Reuters}}

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