BIG TECH - AI Dynamics

Cerebras Highlights 750 Tokens per Second for OpenAI Developers

By

–

14 July 2026 21h20

5,000+ RSVPs. A line out the door. The wafer everyone wanted a picture with.

At Cafe Compute with @OpenAI during @icmlconf, @gabrielchua shared what 750 tokens/sec on Cerebras means for developers.

NYC is next, co-hosted with @GoogleDeepMind and @datadoghq. RSVP in the… pic.twitter.com/PSeBIQwSEw
— Cerebras (@cerebras) 14 juillet 2026

5,000+ RSVPs. A line out the door. The wafer everyone wanted a picture with. At Cafe Compute with @OpenAI during @icmlconf
, @gabrielchua shared what 750 tokens/sec on Cerebras means for developers. NYC is next, co-hosted with @GoogleDeepMind and @datadoghq
. RSVP in the

→ View original post on X — @cerebras

14 July 2026

GPT-5.6 Sol Demand Pressures OpenAI Inference Capacity

By

@sama

–

14 July 2026 21h02

5.6 sol growth is insane. the inference team has done heroic work to be able to support demand. we are going to move mountains to continue to scale, but it is possible there are some hiccups soon.

→ View original post on X — @sama

14 July 2026

How OpenAI’s Public Risk Stance Has Changed Since GPT-2

By

@goodside

–

14 July 2026 20h39

The OpenAI that said GPT-2 was scary is clearly not the OpenAI that exists today, though.

→ View original post on X — @goodside

14 July 2026

Comparing How AI Labs Discuss Their AGI Concerns

By

@goodside

–

14 July 2026 20h35

I didn’t appreciate until you said it but Anthropic really is the only lab that’s candid about their worries re: AGI. OpenAI clearly cares too but they sugar-coat even if just by de-emphasis. GDM says little at all, and Grok is Grok.

→ View original post on X — @goodside

14 July 2026

Meta Launches Muse Spark 1.1 With Lower API Pricing

By

@alphasignalai

–

14 July 2026 19h23

4/ Muse Spark 1.1 Meta shipped its first paid model API and priced Muse Spark 1.1 at $1.25 input and $4.25 output per million tokens, around a quarter of flagship rates. Zuckerberg posted on X for the first time in three years to launch it. It leads tool use benchmarks like MCP

→ View original post on X — @alphasignalai

14 July 2026

DeepMind’s Logan Kilpatrick Says Faster Inference Enables Different Products

By

@cerebras

–

14 July 2026 19h03

Speed is a first-class product primitive.

As @OfficialLoganK from @GoogleDeepMind puts it: if every model ran at 2,000 tokens/sec, you wouldn’t make the same product faster. You’d build different products. pic.twitter.com/0JuUP7VI13
— Cerebras (@cerebras) 14 juillet 2026

Speed is a first-class product primitive. As @OfficialLoganK from @GoogleDeepMind puts it: if every model ran at 2,000 tokens/sec, you wouldn’t make the same product faster. You’d build different products.

→ View original post on X — @cerebras

14 July 2026

Tech Giants Approach $700 Billion in AI Infrastructure Spending

By

@ninadschick

–

14 July 2026 18h30

The scale of the build-out is extraordinary. The five largest tech companies are spending close to $700 billion on intelligence factories this year. Twice what they spent last year. At the same time, the chips powering these systems now produce around 50 times more Intelligence

→ View original post on X — @ninadschick

14 July 2026

Apple’s OpenAI Lawsuit Raises Questions About Effective Court Relief

By

@martyswant

–

14 July 2026 17h06

Yesterday’s @BigTechnology newsletter is about Apple’s newly filed OpenAI lawsuit. Something I keep wondering: Even if Apple gets help from the court, will relief will even matter? If OpenAI did what Apple alleges, it’ll be hard to reverse the knowledge likely already applied

→ View original post on X — @martyswant

14 July 2026

OpenAI Reports 2.5-Fold Weekly Usage Growth for Codex and ChatGPT Work

By

@sama

–

14 July 2026 16h13

2.5x increase in usage of our agentic products (codex and chatgpt work) in the last week! welcome.

→ View original post on X — @sama

14 July 2026

Jensen Huang Describes Agents Combining Tools, Memory and Iteration

By

@langchain

–

14 July 2026 15h01

Jensen Huang on what changed in the last six months.

Agentic systems grounded in knowledge, with tools, memory, and the ability to iterate until the job gets done.

Now, the models have finally caught up to make it work. pic.twitter.com/cr26DgISRo
— LangChain (@LangChain) 14 juillet 2026

Jensen Huang on what changed in the last six months. Agentic systems grounded in knowledge, with tools, memory, and the ability to iterate until the job gets done. Now, the models have finally caught up to make it work.

→ View original post on X — @langchain

14 July 2026