As an old Delphi guy, I remember well the “language wars” we had with the Visual Basic guys. An early codename for Delphi was “VBK” — VB Killer — and the VB community took exception. They’d come to our Delphi forums and pick fights. Naturally, we brash Delphi guys would fight back, engaging in big flame wars and getting all worked up over what wasn’t much more than a personal preference. Good times.
These days, we’ve moved the discussion up a layer — what is the better model for coding? Things aren’t quite as intense as the VB/Delphi dustups, but people have their opinions. Companies are taking a look at different models before choosing one for their teams. Most teams have arrived at a family of models that they use.
At some point, chatting with Claude or Codex started to seem a bit raw. It wasn’t long before scaffolding tools like GStack and Superpowers were adding underpinnings for interacting with LLMs — baseline instructions for handling prompts before they get to the model itself
As an old Delphi guy, I remember well the “language wars” we had with the Visual Basic guys. An early codename for Delphi was “VBK” — VB Killer — and the VB community took exception. They’d come to our Delphi forums and pick fights. Naturally, we brash Delphi guys would fight back, engaging in big flame wars and getting all worked up over what wasn’t much more than a personal preference. Good times.
These days, we’ve moved the discussion up a layer — what is the better model for coding? Things aren’t quite as intense as the VB/Delphi dustups, but people have their opinions. Companies are taking a look at different models before choosing one for their teams. Most teams have arrived at a family of models that they use.
At some point, chatting with Claude or Codex started to seem a bit raw. It wasn’t long before scaffolding tools like GStack and Superpowers were adding underpinnings for interacting with LLMs — baseline instructions for handling prompts before they get to the model itself
As an old Delphi guy, I remember well the “language wars” we had with the Visual Basic guys. An early codename for Delphi was “VBK” — VB Killer — and the VB community took exception. They’d come to our Delphi forums and pick fights. Naturally, we brash Delphi guys would fight back, engaging in big flame wars and getting all worked up over what wasn’t much more than a personal preference. Good times.
These days, we’ve moved the discussion up a layer — what is the better model for coding? Things aren’t quite as intense as the VB/Delphi dustups, but people have their opinions. Companies are taking a look at different models before choosing one for their teams. Most teams have arrived at a family of models that they use.
At some point, chatting with Claude or Codex started to seem a bit raw. It wasn’t long before scaffolding tools like GStack and Superpowers were adding underpinnings for interacting with LLMs — baseline instructions for handling prompts before they get to the model itself
Less than 24 hours after news broke that OpenAI would stagger its next model release at the request of the Trump administration, that model, GPT-5.6, is here. On Friday, the company unveiled the limited preview of its new GPT 5.6 model suite: Sol, the flagship; Terra, a medium-tier model for "high-volume work"; and Luna, a "fast and affordable" everyday model. OpenAI says it's especially skilled at coding, cybersecurity, and biology, as well as staying focused during long-horizon agentic AI tasks.
Per million tokens, GPT-5.6 Sol is priced at $5 input / $30 output (nearly half the cost of Anthropic's Claude Fable 5, which is $10 input / $5 …
Read the full story at The Verge.
In Q1 2026, AI companies pulled in $242 billion in venture capital. That is 80% of all global VC funding for the quarter. From coding to compliance, customer service to clinical documentation, these 30 companies are not updating enterprise software. They are rebuilding it from scratch.
OpenAI previews GPT-5.6 Sol, a next-generation model with stronger capabilities in coding, science, and cybersecurity, paired with its most advanced safety stack.
SpaceX's acquisition of Anysphere signals a strategic pivot towards AI-driven software development, intensifying competition in the tech sector.
The post SpaceX acquires AI coding start-up Anysphere for $60B in all-stock deal days after record IPO appeared first on Crypto Briefing.
Kimi-K2.7-Code's efficiency and open-source nature could democratize AI-driven coding, reducing costs and enhancing accessibility for developers.
The post Kimi AI releases open-source K2.7 Code model with 1 trillion parameters on APIs and Hugging Face appeared first on Crypto Briefing.
Anthropic launched Claude Fable 5 on Tuesday, releasing a Mythos-class artificial intelligence (AI) model for general use that tops rivals on coding, finance, and vision benchmarks while cutting pricing to less than half of what Claude Mythos Preview costs. What Claude Fable 5 Is Fable 5 is Anthropic’s most capable publicly available model. In Tuesday’s […]
