UL Solutions AI Safety Milestone Puts Focus On High Valuation And Growth - Yahoo Finance
<a href="https://news.google.com/rss/articles/CBMihAFBVV95cUxQWWJNNlNPRkJhZWpvQkZDN09XRC1jZ2JUVkd2SGVXQ040NXA4Ni16MEZ0Umd1N1M4Sjl3bTNwaFEzWDkzNHgxeG9peTlRSGZyWmFKUHhwVE1JTXVPNk9ZLTZ6c05LRFdkRy1YLUlJWXRZNTlTcWtkaWJ2REI1b043NmFvZVg?oc=5" target="_blank">UL Solutions AI Safety Milestone Puts Focus On High Valuation And Growth</a> <font color="#6f6f6f">Yahoo Finance</font>
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valuationsafetyciflow/torchtitan/179381: Update on "[wip][dynamo] Reduce special casing for namedtuple objects"
UserDefinedTupleVariable previously lived in user_defined.py while NamedTupleVariable lived in lists.py and subclassed it across module boundaries. NamedTupleVariable also conflated two unrelated things: Python namedtuples (collections.namedtuple with _tuplegetter descriptors and Type( args) construction) and C-implemented structseqs (torch.return_types. with Type(iterable) construction and tp_new safety checks that reject tuple. new ). Split into three classes, all in user_defined.py: UserDefinedTupleVariable (base): plain tuple subclasses NamedTupleVariable: Python namedtuples, overrides resolve_data_descriptor for _tuplegetter, as_python_constant, as_proxy, reconstruct (uses _make) StructSequenceVariable: torch.return_types.* structseqs, overrides as_python_constant, as_proxy, reconstru

What is an MCP proxy and why does it need an approval layer?
MCP (Model Context Protocol) lets AI agents call external tools. A database query, a file write, an API call -- the agent decides what to do and the MCP server executes it. But there's nothing in the spec that evaluates whether that action should happen. An MCP proxy sits between the agent and the MCP server. It intercepts every tools/call request, does something with it, and forwards it (or doesn't). The proxy pattern isn't new -- it's how HTTP proxies, API gateways, and service meshes work. Apply it to MCP and you get an enforcement point for agent actions. Why a plain proxy isn't enough Most MCP proxies today do routing, load balancing, or observability. They watch traffic. Some log it. A few do rate limiting. None of that stops an agent from running DROP TABLE customers if the tool cal
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